Sigma Software

Join a large-scale infrastructure modernization initiative focused on secure and enterprise-grade government platforms. We are looking for a Senior/Lead DevOps Engineer who is ready to take ownership of technical decisions, lead platform delivery, and contribute to complex cloud and Kubernetes environments.

We at Sigma Software value engineering excellence, collaboration, and continuous improvement. You will have the opportunity to work on impactful public sector solutions, contribute to modern infrastructure transformation, and grow within an international engineering environment.

PROJECT

The project is focused on building and maintaining secure enterprise infrastructure platforms for the public sector. The team designs, automates, and operates Kubernetes-based environments with strong emphasis on cloud infrastructure, platform hardening, Infrastructure as Code, and CI/CD automation.

As part of the project, you will contribute to large-scale infrastructure modernization initiatives involving Kubernetes orchestration, GitOps practices, enterprise security solutions, and air-gapped deployment environments. The role includes active participation in technical discovery, architecture design, implementation planning, and stakeholder communication.

Responsibilities:

• Design, implement, and maintain enterprise-grade Kubernetes platforms and cloud infrastructure
• Lead infrastructure delivery activities from the discovery phase through production rollout
• Make architectural and technical platform decisions aligned with Customer requirements
• Automate infrastructure provisioning and configuration management using Infrastructure as Code practices
• Implement and maintain CI/CD pipelines and GitOps workflows
• Configure and support secure cluster operations, secrets management, and platform hardening
• Collaborate directly with Customers, vendors, and external stakeholders during technical workshops and solution discussions
• Analyze existing infrastructure environments and identify optimization opportunities
• Prepare technical proposals, implementation plans, estimates, and delivery roadmaps
• Troubleshoot production environments and perform root cause analysis
• Support compliance, security, and operational readiness requirements for government environments

• Mentor engineers and contribute to technical leadership within the team

   

Requirements:

• 5+ years of commercial experience as a DevOps Engineer in enterprise environments
• Deep expertise in Kubernetes administration, networking, and security
• Experience with Infrastructure as Code tools such as Terraform
• Hands-on experience with AWS and/or Azure cloud platforms
• Experience implementing GitOps practices using ArgoCD or similar tools
• Strong Linux administration and troubleshooting skills
• Experience with CI/CD automation and software delivery pipelines
• Knowledge of secrets management solutions such as OpenBAO or HashiCorp Vault
• Experience with identity and access management solutions such as Keycloak
• Understanding of infrastructure security, CIS benchmarks, and platform hardening
• Experience working with production enterprise infrastructure environments
• Ability to work independently and make technical decisions
• Experience communicating directly with Customers and stakeholders
• Strong analytical and problem-solving skills

• Upper-Intermediate or higher level of English

   

Would be a plus:

• Experience with OKD or OpenShift administration
• Experience with Ceph storage solutions
• Knowledge of Helm packaging and customization
• Experience with air-gapped environments and restricted infrastructure
• Experience with vSphere administration
• Experience delivering solutions to external hosting providers
• Background in government, eGov, or registry-based systems

• Understanding of compliance and operational requirements in public sector environments

   

Personal profile:

• Strong ownership mindset and ability to lead technical initiatives
• Ability to work effectively in ambiguous and evolving environments
• Excellent communication and stakeholder management skills
• Structured and proactive approach to problem-solving
• Ability to prioritize tasks and manage multiple responsibilities
• Strong collaboration skills within distributed teams
• Leadership mindset with focus on delivery and quality

_____________________________________________________________

Приєднуйся до масштабної ініціативи з модернізації інфраструктури, зосередженої на безпечних та enterprise-рішеннях для державних платформ.
Ми шукаємо Senior/Lead DevOps Engineer, який готовий брати відповідальність за технічні рішення, очолювати delivery платформи та працювати зі складними cloud- і Kubernetes-середовищами.

У Sigma Software ми цінуємо engineering excellence, співпрацю та безперервне вдосконалення. Ти матимеш можливість працювати над важливими рішеннями для державного сектору, долучатися до трансформації сучасної інфраструктури та розвиватися в міжнародному engineering-середовищі.

ПРОЄКТ

Проєкт зосереджений на побудові та підтримці безпечних enterprise-платформ інфраструктури для державного сектору. Команда проєктує, автоматизує та підтримує Kubernetes-середовища з особливим акцентом на cloud-інфраструктурі, platform hardening, Infrastructure as Code та CI/CD automation.

У межах проєкту ти долучишся до масштабних ініціатив із модернізації інфраструктури, що включають Kubernetes orchestration, GitOps practices, enterprise security solutions та air-gapped deployment environments. Роль передбачає активну участь у technical discovery, проєктуванні архітектури, плануванні імплементації та комунікації зі стейкхолдерами.

Обовʼязки:

• Проєктувати, впроваджувати та підтримувати enterprise-рівня Kubernetes-платформи та cloud-інфраструктуру
• Очолювати процеси delivery інфраструктури від етапу discovery до production rollout
• Приймати архітектурні та технічні рішення щодо платформи відповідно до вимог Customer
• Автоматизувати provisioning інфраструктури та management конфігурацій із використанням практик Infrastructure as Code
• Впроваджувати та підтримувати CI/CD pipelines і GitOps workflows
• Налаштовувати та підтримувати безпечну роботу кластерів, management секретів і platform hardening
• Напряму співпрацювати з Customers, vendors та зовнішніми стейкхолдерами під час технічних воркшопів і обговорення рішень
• Аналізувати наявні інфраструктурні середовища та визначати можливості для оптимізації
• Готувати технічні пропозиції, плани імплементації, оцінки та delivery roadmaps
• Troubleshoot production-середовища та проводити root cause analysis
• Підтримувати вимоги compliance, security та operational readiness для державних середовищ

• Менторити інженерів і сприяти технічному лідерству в команді

   

Вимоги:

• 5+ років комерційного досвіду роботи DevOps Engineer в enterprise-середовищах
• Глибока експертиза в адмініструванні, networking та security Kubernetes
• Досвід роботи з Infrastructure as Code tools, такими як Terraform
• Практичний досвід роботи з cloud-платформами AWS та/або Azure
• Досвід впровадження GitOps practices із використанням ArgoCD або подібних інструментів
• Сильні навички адміністрування Linux і troubleshooting
• Досвід роботи з CI/CD automation та software delivery pipelines
• Знання рішень для management секретів, таких як OpenBAO або HashiCorp Vault
• Досвід роботи з рішеннями для identity and access management, такими як Keycloak
• Розуміння infrastructure security, CIS benchmarks та platform hardening
• Досвід роботи з production enterprise-інфраструктурними середовищами
• Здатність працювати самостійно та приймати технічні рішення
• Досвід прямої комунікації з Customers і стейкхолдерами
• Сильні аналітичні навички та навички розв’язання проблем

• Рівень англійської — Upper-Intermediate або вище

   

Буде плюсом:

• Досвід адміністрування OKD або OpenShift
• Досвід роботи з рішеннями для зберігання даних Ceph
• Знання Helm packaging і customization
• Досвід роботи з air-gapped environments та restricted infrastructure
• Досвід адміністрування vSphere
• Досвід delivery рішень для external hosting providers
• Досвід роботи з government, eGov або registry-based systems

• Розуміння compliance та operational requirements у середовищах державного сектору

   

Особистий профіль:

• Сильне відчуття ownership та здатність очолювати технічні ініціативи
• Здатність ефективно працювати в умовах невизначеності та змін
• Відмінні навички комунікації та stakeholder management
• Структурований і проактивний підхід до розв’язання проблем
• Здатність пріоритизувати завдання та керувати кількома зонами відповідальності
• Сильні навички співпраці в distributed teams
• Лідерське мислення з фокусом на delivery та quality

Company Description

Our customer is a leading Swedish telecommunications company, recognized for delivering innovative large-scale technology solutions across complex infrastructure environments. Sweden’s telecom sector is known for its advanced networks, high-speed connectivity, and pioneering role in 5G development. The company operates internationally, serving millions of users and partnering with global technology leaders to drive digital transformation.

Job Description

You will join one of two AI initiatives: ChatCPI, an LLM-powered assistant for intelligent search and question answering over large technical documentation, or a Knowledge Graph Platform focused on structuring and connecting enterprise information for AI-driven use cases.

What you will do

• Design and implement LLM-based features and RAG pipelines, from data ingestion to answer generation
• Build and optimize retrieval using vector embeddings and hybrid (semantic + keyword) search
• Process, clean and structure source information to improve the accuracy and relevance of AI output
• Evaluate model quality, experiment with new approaches and bring proven solutions into production

• Work closely with the team to integrate AI components into the wider platform 

   

What we expect

• 3+ years of experience on AI/ML projects
• Strong Python skills and hands-on implementation experience
• Solid understanding of the modern AI stack, LLMs and current industry developments
• Practical experience with RAG architecture, vector embeddings and hybrid search

• Experience with information processing aimed at improving AI quality (data preparation, chunking, metadata enrichment, relevance tuning)

   

Ways of working

• Comfortable owning a change end-to-end: design, implement, test, and deploy.
• Can work independently but communicates proactively when blocked or when scope/tradeoffs need a decision
• Experience working in an Agile team will be considered a plus

• Soft skills: since this is a fully remote position, we expect a highly proactive attitude - showing results, actively participating in all initiatives, etc

   

Nice to have

• Experience with knowledge graphs or graph databases
• Background in the telecom domain

We are looking for a Project Manager to join Sigma Software’s IT Solutions department and lead cross-functional transformation initiatives across the company. In this role, you will coordinate enterprise-level projects focused on process optimization, automation, and adoption of modern digital and AI-driven solutions

You will work in a complex environment with multiple stakeholders, balancing strategic goals with operational delivery while ensuring measurable business value. The position is open in a remote or hybrid format depending on your location

We at Sigma Software continuously invest in internal innovation and digital transformation to provide our employees with the best tools and environments for effective work. This role offers the opportunity to influence company-wide initiatives, work with modern technologies, and contribute to the adoption of AI-supported approaches across the organization

CUSTOMER 

Sigma Software’s IT Solutions department is responsible for building and evolving internal organizational capabilities through the implementation and development of business applications and digital solutions. The department supports multiple business functions across the company and focuses on improving operational efficiency, collaboration, automation, and employee experience through modern technologies and transformation initiatives.

PROJECT 

The project portfolio includes enterprise-wide transformation initiatives aimed at improving operational efficiency, optimizing internal processes, and implementing scalable digital and AI-powered solutions across the company. The Project Manager will coordinate multiple parallel initiatives involving business and technical stakeholders while ensuring transparent delivery, effective communication, and incremental business value

Key Technologies: Azure DevOps, Confluence, Enterprise Collaboration Tools, Automation Platforms, AI-assisted Productivity Tools

Job Description

• Plan, manage, and monitor project execution to ensure delivery on time and within budget
• Drive end-to-end project lifecycle management using appropriate delivery methodologies and best practices
• Lead cross-functional transformation initiatives involving multiple business units and internal teams
• Align business and technology stakeholders around project goals, priorities, and expected outcomes
• Identify opportunities for process optimization, automation, and operational efficiency improvements
• Promote and support the adoption of AI-driven approaches within project delivery and workflows
• Perform risk analysis and proactively manage delivery risks and dependencies
• Monitor project KPIs and implement corrective actions when needed
• Ensure transparent communication and structured project documentation
• Coordinate and support delivery teams, including onboarding and professional growth activities
• Contribute to the continuous improvement of delivery processes and project management practices

Qualifications

• At least 5 years of experience in project management
• Proven experience managing cross-functional or transformation initiatives
• Experience working in enterprise environments with multiple stakeholders and parallel projects
• Strong understanding of project management methodologies and delivery frameworks
• Experience collaborating with technical teams and managing IT-related projects
• Understanding of modern technologies, integrations, and automation approaches
• Knowledge of Agile, Scrum, Kanban, or hybrid delivery approaches
• Strong risk management and decision-making capabilities
• Awareness of AI capabilities and willingness to integrate AI into workflows
• Intermediate English level or higher

Will be a plus

• Experience with enterprise digital transformation programs
• Experience implementing automation or AI-driven business solutions
• PMP, PRINCE2, Agile, or similar certifications
• Experience with process improvement methodologies

Personal Profile

• Proactive and ownership-driven mindset
• Strong organizational and prioritization skills
• Strong communication and stakeholder management skills
• Excellent leadership, negotiation, and problem-solving abilities
• Ability to work effectively in dynamic environments
• Collaborative and team-oriented approach
• Strong analytical and strategic thinking
• Ability to build trust with stakeholders across different business functions
• Continuous improvement mindset and openness to innovation

We are looking for a Senior Full Stack Engineer with AI (Healthcare) to help design, develop, and operate modern cloud-based applications for the healthcare domain.

In this role, you will work across Front-end, Back-end, and DevOps domains while designing and integrating AI-powered features into business applications used by doctors and clinics. The position requires hands-on commercial experience with modern AI and LLM technologies.

CUSTOMER AND PROJECT

Our Customer operates in the medical domain and develops applications for doctors and clinics.

The project combines .NET Full-Stack development, cloud-native engineering, DevOps practices, and the integration of AI-powered capabilities into healthcare applications.

TECHNOLOGY STACK

• React, Angular
• Java/Spring Boot, Python, C#Kafka, Terraform
• Kubernetes, Helm, ArgoCD
• Azure
• OpenAI or similar AI platforms

RESPONSIBILITIES

• Develop and maintain modern web applications using .NET and modern Front-end technologies
• Design, develop, and integrate AI-powered features into business applications
• Build AI agents, intelligent workflows, and automation solutions
• Work with modern LLM platforms and AI development tools
• Build and operate cloud-native services with a strong focus on reliability, security, and scalability
• Collaborate with Product, UX, Architecture, and Engineering teams
• Drive engineering excellence and AI adoption within development teams

REQUIREMENTS

• Senior-level .NET Full-Stack development experience
• Strong Front-end expertise with React or Angular
• Strong Back-end expertise in C# and .NET
• At least 1 year of hands-on commercial experience developing and integrating AI-powered features into software products
• Practical experience building AI agents, intelligent workflows, or automation solutions
• Practical experience with modern LLM ecosystems and AI platforms, such as Azure OpenAI or similar
• Experience with cloud-native architectures and DevOps practices
• Demonstrated practical use of AI tools in software engineering
• Degree in Computer Science or an equivalent technical background
• Strong English communication skills

Join a large-scale infrastructure modernization initiative focused on secure and enterprise-grade government platforms. We are looking for a Senior/Lead DevOps Engineer who is ready to take ownership of technical decisions, lead platform delivery, and contribute to complex cloud and Kubernetes environments.

We at Sigma Software value engineering excellence, collaboration, and continuous improvement. You will have the opportunity to work on impactful public sector solutions, contribute to modern infrastructure transformation, and grow within an international engineering environment.

PROJECT

The project is focused on building and maintaining secure enterprise infrastructure platforms for the public sector. The team designs, automates, and operates Kubernetes-based environments with strong emphasis on cloud infrastructure, platform hardening, Infrastructure as Code, and CI/CD automation.

As part of the project, you will contribute to large-scale infrastructure modernization initiatives involving Kubernetes orchestration, GitOps practices, enterprise security solutions, and air-gapped deployment environments. The role includes active participation in technical discovery, architecture design, implementation planning, and stakeholder communication.

Responsibilities:

• Design, implement, and maintain enterprise-grade Kubernetes platforms and cloud infrastructure
• Lead infrastructure delivery activities from the discovery phase through production rollout
• Make architectural and technical platform decisions aligned with Customer requirements
• Automate infrastructure provisioning and configuration management using Infrastructure as Code practices
• Implement and maintain CI/CD pipelines and GitOps workflows
• Configure and support secure cluster operations, secrets management, and platform hardening
• Collaborate directly with Customers, vendors, and external stakeholders during technical workshops and solution discussions
• Analyze existing infrastructure environments and identify optimization opportunities
• Prepare technical proposals, implementation plans, estimates, and delivery roadmaps
• Troubleshoot production environments and perform root cause analysis
• Support compliance, security, and operational readiness requirements for government environments

• Mentor engineers and contribute to technical leadership within the team

   

Requirements:

• 5+ years of commercial experience as a DevOps Engineer in enterprise environments
• Deep expertise in Kubernetes administration, networking, and security
• Experience with Infrastructure as Code tools such as Terraform
• Hands-on experience with AWS and/or Azure cloud platforms
• Experience implementing GitOps practices using ArgoCD or similar tools
• Strong Linux administration and troubleshooting skills
• Experience with CI/CD automation and software delivery pipelines
• Knowledge of secrets management solutions such as OpenBAO or HashiCorp Vault
• Experience with identity and access management solutions such as Keycloak
• Understanding of infrastructure security, CIS benchmarks, and platform hardening
• Experience working with production enterprise infrastructure environments
• Ability to work independently and make technical decisions
• Experience communicating directly with Customers and stakeholders
• Strong analytical and problem-solving skills

• Upper-Intermediate or higher level of English

   

Would be a plus:

• Experience with OKD or OpenShift administration
• Experience with Ceph storage solutions
• Knowledge of Helm packaging and customization
• Experience with air-gapped environments and restricted infrastructure
• Experience with vSphere administration
• Experience delivering solutions to external hosting providers
• Background in government, eGov, or registry-based systems

• Understanding of compliance and operational requirements in public sector environments

   

Personal profile:

• Strong ownership mindset and ability to lead technical initiatives
• Ability to work effectively in ambiguous and evolving environments
• Excellent communication and stakeholder management skills
• Structured and proactive approach to problem-solving
• Ability to prioritize tasks and manage multiple responsibilities
• Strong collaboration skills within distributed teams
• Leadership mindset with focus on delivery and quality

_____________________________________________________________

Приєднуйся до масштабної ініціативи з модернізації інфраструктури, зосередженої на безпечних та enterprise-рішеннях для державних платформ.
Ми шукаємо Senior/Lead DevOps Engineer, який готовий брати відповідальність за технічні рішення, очолювати delivery платформи та працювати зі складними cloud- і Kubernetes-середовищами.

У Sigma Software ми цінуємо engineering excellence, співпрацю та безперервне вдосконалення. Ти матимеш можливість працювати над важливими рішеннями для державного сектору, долучатися до трансформації сучасної інфраструктури та розвиватися в міжнародному engineering-середовищі.

ПРОЄКТ

Проєкт зосереджений на побудові та підтримці безпечних enterprise-платформ інфраструктури для державного сектору. Команда проєктує, автоматизує та підтримує Kubernetes-середовища з особливим акцентом на cloud-інфраструктурі, platform hardening, Infrastructure as Code та CI/CD automation.

У межах проєкту ти долучишся до масштабних ініціатив із модернізації інфраструктури, що включають Kubernetes orchestration, GitOps practices, enterprise security solutions та air-gapped deployment environments. Роль передбачає активну участь у technical discovery, проєктуванні архітектури, плануванні імплементації та комунікації зі стейкхолдерами.

Обовʼязки:

• Проєктувати, впроваджувати та підтримувати enterprise-рівня Kubernetes-платформи та cloud-інфраструктуру
• Очолювати процеси delivery інфраструктури від етапу discovery до production rollout
• Приймати архітектурні та технічні рішення щодо платформи відповідно до вимог Customer
• Автоматизувати provisioning інфраструктури та management конфігурацій із використанням практик Infrastructure as Code
• Впроваджувати та підтримувати CI/CD pipelines і GitOps workflows
• Налаштовувати та підтримувати безпечну роботу кластерів, management секретів і platform hardening
• Напряму співпрацювати з Customers, vendors та зовнішніми стейкхолдерами під час технічних воркшопів і обговорення рішень
• Аналізувати наявні інфраструктурні середовища та визначати можливості для оптимізації
• Готувати технічні пропозиції, плани імплементації, оцінки та delivery roadmaps
• Troubleshoot production-середовища та проводити root cause analysis
• Підтримувати вимоги compliance, security та operational readiness для державних середовищ

• Менторити інженерів і сприяти технічному лідерству в команді

   

Вимоги:

• 5+ років комерційного досвіду роботи DevOps Engineer в enterprise-середовищах
• Глибока експертиза в адмініструванні, networking та security Kubernetes
• Досвід роботи з Infrastructure as Code tools, такими як Terraform
• Практичний досвід роботи з cloud-платформами AWS та/або Azure
• Досвід впровадження GitOps practices із використанням ArgoCD або подібних інструментів
• Сильні навички адміністрування Linux і troubleshooting
• Досвід роботи з CI/CD automation та software delivery pipelines
• Знання рішень для management секретів, таких як OpenBAO або HashiCorp Vault
• Досвід роботи з рішеннями для identity and access management, такими як Keycloak
• Розуміння infrastructure security, CIS benchmarks та platform hardening
• Досвід роботи з production enterprise-інфраструктурними середовищами
• Здатність працювати самостійно та приймати технічні рішення
• Досвід прямої комунікації з Customers і стейкхолдерами
• Сильні аналітичні навички та навички розв’язання проблем

• Рівень англійської — Upper-Intermediate або вище

   

Буде плюсом:

• Досвід адміністрування OKD або OpenShift
• Досвід роботи з рішеннями для зберігання даних Ceph
• Знання Helm packaging і customization
• Досвід роботи з air-gapped environments та restricted infrastructure
• Досвід адміністрування vSphere
• Досвід delivery рішень для external hosting providers
• Досвід роботи з government, eGov або registry-based systems

• Розуміння compliance та operational requirements у середовищах державного сектору

   

Особистий профіль:

• Сильне відчуття ownership та здатність очолювати технічні ініціативи
• Здатність ефективно працювати в умовах невизначеності та змін
• Відмінні навички комунікації та stakeholder management
• Структурований і проактивний підхід до розв’язання проблем
• Здатність пріоритизувати завдання та керувати кількома зонами відповідальності
• Сильні навички співпраці в distributed teams
• Лідерське мислення з фокусом на delivery та quality

Are you looking for an opportunity to manage enterprise-scale solutions in an international environment? Join a long-term project as a Junior Project Manager and work with one of the world’s leading network and infrastructure providers. In this role, you will coordinate software delivery, collaborate with multinational teams, and work closely with both engineering and business stakeholders.

At Sigma Software, we value transparency, collaboration, and continuous growth. You will join a people-oriented environment where modern engineering approaches, AI-driven practices, and knowledge sharing are encouraged across teams.

CUSTOMER
Our customer is a globally recognized provider of network infrastructure and enterprise communication solutions, serving businesses and service providers worldwide. The company operates in a highly complex technological ecosystem, supporting large-scale services and digital transformation initiatives across multiple regions.

PROJECT
The project focuses on the development and support of a core enterprise component used in customer support services. The team works within a large-scale distributed environment that combines cloud infrastructure, enterprise Java solutions, and telecom-related integrations.

RESPONSIBILITIES

• Plan project activities, estimates, milestones, and dependencies
• Track scope, schedule, budget, risks, and delivery progress
• Clarify and document business and technical requirements
• Coordinate the development process and remove delivery blockers
• Keep stakeholders informed and manage expectations
• Support the team and maintain a productive, human-oriented working environment
• Maintain project documentation and reporting
• Support resource planning, assignments, and team development
• Apply current development and AI practices to improve project delivery

REQUIREMENTS
 

• At least 2 years of practical Project Management experience in software development
• Hands-on experience delivering projects in a complex technical domain
• Understanding of modern software development and AI practices
• Solid knowledge of project planning, estimation, risk management, budgeting, and delivery control
• Ability to understand and discuss technical requirements with engineers and Customers
• Strong organisation, prioritisation, and problem-solving skills
• Human-oriented approach to team and people management
• Customer-oriented mindset focused on business goals and delivery outcomes
• Clear and confident communication with technical and non-technical stakeholders. Experience working in a multinational environment
• Upper-Intermediate or higher English level

WOULD BE A PLUS
 

• Experience with Java or cloud-based projects

Шукаєш можливість керувати enterprise-рішеннями в міжнародному середовищі? Приєднуйся до довготривалого проєкту на позиції Junior Project Manager та працюй з одним із провідних світових постачальників мережевої інфраструктури та комунікаційних рішень. У цій ролі ти координуватимеш delivery програмного забезпечення, співпрацюватимеш із міжнародними командами та тісно взаємодіятимеш як з engineering-, так і з business-стейкхолдерами.

У Sigma Software ми цінуємо прозорість, співпрацю та постійний розвиток. Ти станеш частиною people-oriented середовища, де команди активно використовують сучасні engineering-підходи, AI-driven практики та обмін знаннями.

КЛІЄНТ
Наш клієнт — всесвітньо відомий постачальник рішень у сфері мережевої інфраструктури та enterprise-комунікацій для бізнесів і сервіс-провайдерів по всьому світу. Компанія працює у складній технологічній екосистемі, підтримуючи масштабні сервіси та ініціативи цифрової трансформації в різних регіонах.

ПРОЄКТ
Проєкт зосереджений на розробці та підтримці ключового enterprise-компонента, який використовується у customer support сервісах. Команда працює у масштабному distributed-середовищі, що поєднує cloud-інфраструктуру, enterprise Java-рішення та telecom-інтеграції.

ОБОВ’ЯЗКИ

• Планувати проєктні активності, оцінки, milestones і залежності
• Відстежувати scope, графік, бюджет, ризики та прогрес delivery
• Уточнювати та документувати business і technical requirements
• Координувати процес розробки та усувати delivery blockers
• Інформувати стейкхолдерів і керувати очікуваннями
• Підтримувати команду та сприяти продуктивному, people-oriented робочому середовищу
• Підтримувати проєктну документацію та звітність
• Допомагати з resource planning, assignment процесами та розвитком команди
• Застосовувати сучасні development та AI practices для покращення delivery процесів

ВИМОГИ

• Від 2 років практичного досвіду у Project Management у software development
• Практичний досвід delivery проєктів у складному технічному домені
• Розуміння сучасної software development методології та AI practices
• Ґрунтовні знання у сфері планування проєктів, estimation, risk management, budgeting і delivery control
• Здатність розуміти та обговорювати technical requirements з engineers і Customers
• Сильні організаційні навички, навички пріоритизації та вирішення проблем
• People-oriented підхід до management команди
• Customer-oriented mindset із фокусом на business goals та delivery results
• Чітка та впевнена комунікація з technical і non-technical стейкхолдерами
• Досвід роботи в міжнародному середовищі
• Рівень англійської — Upper-Intermediate або вище

БУДЕ ПЛЮСОМ

• Досвід роботи з Java або cloud-based проєктами

ROLE OVERVIEW

We are looking for a Senior Full-Stack Software Developer with strong experience in Uniface and C#/.NET to develop and modernize healthcare software.

You will work across Back-end, Front-end, and AI-assisted development, building new features, improving existing functionality, and contributing to the evolution of an established healthcare product. Front-end development will involve React or Angular, while AI tools and modern development approaches will be used to support analysis, development, and modernization.

CUSTOMER AND PROJECT

Our Customer is a leading provider of software solutions for the healthcare sector, operating in 19 countries with more than 9,000 employees.

You will join an agile Scrum team developing software for medical information systems used by doctors and healthcare professionals.

The project focuses on the continuous development and modernization of an established healthcare platform. You will work with Uniface and C#/.NET alongside modern Front-end technologies and AI-powered development tools.

You will collaborate closely with Product Owners, QA specialists, architects, and other engineers to deliver reliable software and improve the product over time.

TECHNOLOGY STACK

• Uniface
• C#, .NET / .NET Core
• React / Angular
• Microservices, Vertical Slice Architecture
• Windows, Visual Studio
• Jira, Confluence
• Claude Code, AI Agents

• AI Pipelines, Skills, Workflows, Context Engineering

   

RESPONSIBILITIES

• Design and develop new features using C#, .NET, and Uniface
• Maintain, refactor, and optimize existing functionality and software architecture
• Develop and maintain Front-end features using React or Angular
• Contribute to architectural improvements, including Microservices and Vertical Slice approaches
• Use AI tools such as Claude Code and AI agents to support code analysis, development, refactoring, and documentation
• Build or integrate AI-powered features and intelligent workflows where relevant
• Explore and apply AI-assisted engineering practices, including agents, skills, workflows, and context engineering
• Collaborate with Product Owners, QA specialists, architects, and other engineers
• Participate in an agile Scrum team and contribute to high-quality releases

• Document development and optimization activities using Jira and Confluence

   

REQUIREMENTS

• Several years of commercial experience in software development
• Strong hands-on experience with Uniface and C#
• Good knowledge of .NET / .NET Core
• Commercial experience with React or Angular
• Experience with software development under Windows
• Understanding of modern software architecture, such as Microservices or Vertical Slice Architecture
• Experience working in an agile/Scrum environment
• Practical experience using AI tools in software engineering
• Experience with Claude Code, AI agents, skills, workflows, AI pipelines, or context engineering is a strong plus
• Experience developing or integrating AI-powered features is a plus
• Strong problem-solving, communication, and collaboration skills
• Degree in Computer Science, Software Engineering, or a comparable technical field
• Good English communication skills

ROLE OVERVIEW

We are looking for a Senior AI Software Engineer – Full Stack to design, build, and operate modern web applications and AI-powered solutions for the healthcare domain.

In this role, you will work across Front-end, Back-end, and DevOps, building AI-native features and agentic experiences using LLMs, retrieval, tool use, and structured workflows. You will also contribute to cloud-native services and help drive the adoption of modern AI engineering practices within the team.

CUSTOMER AND PROJECT

Our Customer is a leading provider of software solutions for the healthcare sector, operating across 19 countries with more than 9,000 employees.

The project focuses on developing and operating modern SaaS applications used in the healthcare domain. You will work on integrating AI-powered capabilities into products for clinicians and patients, while also contributing to cloud-native architecture, reliability, security, and developer productivity.

The role combines Java Full-Stack development, AI engineering, cloud-native technologies, and DevOps, with a strong focus on building practical AI features and agentic experiences that deliver real value to healthcare users.

TECHNOLOGY STACK

• React, Angular
• Java, Spring Boot
• Kafka, Terraform
• Kubernetes, Helm, ArgoCD
• Azure OpenAI, Anthropic SDK, MCP
• LLMs, AI agents, skills, workflows, AI pipelines and context engineering

RESPONSIBILITIES

• Design, develop, and operate modern web applications across Front-end and Back-end
• Develop scalable backend services using Java and Spring Boot
• Build AI-native features and agentic experiences using LLMs, retrieval, tool use, and structured workflows
• Develop AI agents, skills, and intelligent workflows that deliver practical value to healthcare users
• Design, evolve, and operate cloud-native services with a strong focus on reliability, security, and scalability
• Work with modern AI development tools and contribute to shared AI agents, skills, pipelines, and engineering workflows
• Collaborate closely with Product Management, UX, Architects, and other Engineering teams
• Contribute to engineering excellence and the adoption of modern AI engineering practices within the team

• Stay close to users and understand healthcare workflows to deliver outcome-driven solutions

   

REQUIREMENTS

• Several years of Senior-level Full-Stack development experience
• Strong commercial experience with Java and Spring Boot
• Solid Front-end expertise with React or Angular
• Experience with Kafka and Terraform
• Experience with cloud-native architectures and DevOps practices
• Hands-on experience with Kubernetes, Helm, and ArgoCD
• At least 1 year of hands-on commercial experience developing and integrating AI-powered features into software products
• Practical experience building AI agents, intelligent workflows, or automation solutions
• Experience with modern LLM ecosystems and AI platforms, such as Azure OpenAI, Anthropic SDK, or MCP
• Demonstrated practical use of AI tools in software engineering
• Experience with AI agents, skills, workflows, AI pipelines, or context engineering is a strong plus
• Degree in Computer Science, Software Engineering, or a comparable technical field
• Strong problem-solving, innovation, and proactive mindset

• Strong English communication skills

   

LANGUAGE REQUIREMENTS

English: B2 – Upper-Intermediate or above

Sigma Software delivers high-quality software development, design, testing, and support services for customers worldwide. We create scalable digital solutions across industries including banking, healthcare, telecommunications, automotive, gaming, real estate, aviation, and more. Our teams combine strong engineering expertise with a collaborative culture focused on delivering measurable business value.

Project Overview

We are looking for a Senior Business Analyst to join a project focused on building a Financial Management System with a strong emphasis on AI-powered process optimization. In this role, you will work closely with business and technical stakeholders to improve financial and operational workflows, transform business needs into clear requirements, and contribute to the delivery of scalable, efficient solutions.

You will become part of a cross-functional environment where AI tools are actively integrated into business analysis and product delivery processes.

Job Description

• Collaborate with stakeholders to gather, analyze, refine, and prioritize business requirements aligned with strategic goals
• Work closely with Product Owners, developers, QA engineers, and designers to ensure accurate implementation of requirements
• Analyze existing business processes, systems, and workflows to identify optimization opportunities and propose scalable solutions
• Create and maintain high-quality documentation including user stories, acceptance criteria, process flows, functional specifications, and user guides
• Decompose high-level business needs into detailed and actionable requirements
• Ensure requirements traceability throughout the delivery lifecycle
• Support backlog refinement, prioritization, and estimation preparation activities
• Facilitate effective communication between business and technical stakeholders
• Conduct demos and presentations to showcase delivered functionality and maintain stakeholder engagement
• Prepare user documentation and support solution adoption
• Contribute to continuous improvement of business analysis practices and the effective use of AI-powered tools in daily workflows

Qualifications

• Strong commercial experience as a Business Analyst in Agile/Scrum environments
• Expertise in requirements gathering, user story creation, decomposition, and backlog structuring
• Understanding of APIs and system integrations
• SQL skills for data extraction and validation
• Experience working with wireframing and prototyping tools
• Strong analytical, problem-solving, and stakeholder management skills
• Practical experience using AI-powered tools for documentation, analysis, process optimization, or data interpretation
• Strong AI prompting skills and ability to integrate AI into everyday work processes
• Excellent verbal and written English communication skills
• Ownership mindset with a proactive and delivery-oriented approach

Nice to Have

• Experience with financial management or accounting systems
• Understanding of financial accounting processes
• Experience with advanced UX or prototyping tools
• Experience integrating AI tools into product or business analysis workflows

Are you passionate about building reliable automation solutions for products that make an impact in healthcare?

We are seeking a Senior Test Automation Engineer with extensive experience in designing and implementing automated quality assurance strategies across desktop, web, and backend systems. This role focuses on developing scalable automation frameworks, validating application performance, integrating automated testing into CI/CD pipelines, and driving continuous quality improvement.

At Sigma Software, we offer the flexibility of working in a collaborative international environment, access to challenging technical projects, and opportunities for continuous professional growth. Why join us? You will help improve the quality and reliability of healthcare solutions, where stability and precision truly matter.

Project
Our client is a company operating in the healthcare/medical industry that specializes in developing desktop software solutions. The company builds large-scale desktop systems used in medical environments, with a strong focus on software quality, reliability, and stability.

Responsibilities

• Design, implement, and own end-to-end test automation strategies across desktop, web, and backend systems
• Develop and maintain scalable, reusable, and maintainable automated test frameworks
• Integrate automated testing into CI/CD pipelines and improve quality gates
• Perform functional, integration, system, UI, stress, load, and performance testing
• Collaborate closely with software engineers, architects, and product stakeholders to improve overall product quality
• Analyze test results, identify quality risks, and support defect resolution processes
• Contribute to continuous improvement of QA methodologies, tooling, and engineering practices
• Evaluate and implement modern automation tools and AI-assisted testing capabilities
• Support delivery of reliable software solutions within a regulated medical environment

• Participate in code reviews, technical discussions, and test strategy planning

   

Requirements

• 6+ years of hands-on experience in test automation engineering
• Strong expertise across multiple testing layers, including unit, integration, system, UI, performance, and stress testing
• Strong programming skills in at least one of the following languages: JavaScript/TypeScript or Python 
• Practical experience with modern test automation frameworks and tools such as Playwright, Cypress
• Experience with AI-assisted development and testing tools
• Experience working with CI/CD pipelines and version control systems
• Strong understanding of software development lifecycle and quality engineering best practices
• Experience designing scalable and maintainable automation frameworks
• Good analytical, troubleshooting, and communication skills
• Upper-Intermediate or higher English level

Will be a plus

• Experience with Java or C#
• Experience with Ranorex
• Penetration testing experience
• Experience working in regulated industries, especially healthcare or medical technology

• German language skills

   

Чи захоплюєтесь ви створенням надійних рішень для автоматизації тестування продуктів, які мають реальний вплив на сферу охорони здоров’я? 

Ми шукаємо Senior Test Automation Engineer із ґрунтовним досвідом у розробці та впровадженні стратегій автоматизованого забезпечення якості для desktop-, web- та backend-систем. Ця роль передбачає створення масштабованих фреймворків автоматизації, перевірку продуктивності застосунків, інтеграцію автоматизованого тестування в CI/CD-пайплайни та постійне вдосконалення процесів забезпечення якості.

У Sigma Software ми пропонуємо можливість працювати в міжнародному середовищі, брати участь у складних технічних проєктах і безперервно розвиватися професійно. Чому варто приєднатися до нас? Ви допомагатимете покращувати якість і надійність рішень для сфери охорони здоров’я, де стабільність і точність мають вирішальне значення.

Клієнт

Наш клієнт - компанія, що працює у сфері охорони здоров’я та медичних технологій і спеціалізується на розробці desktop-рішень. Вона створює великомасштабні програмні системи для медичних установ, приділяючи особливу увагу якості програмного забезпечення, його надійності та стабільності.
 

Обов’язки

• Проєктувати, впроваджувати та підтримувати масштабовані наскрізні (end-to-end) стратегії автоматизації тестування
• Розробляти та підтримувати фреймворки автоматизації тестування
• Створювати й оптимізувати quality gates у CI/CD та пайплайни автоматизованої валідації
• Виконувати stress-, load- та performance-тестування
• Тісно співпрацювати з розробниками, архітекторами та QA-інженерами для підвищення якості й надійності продукту
• Впроваджувати та використовувати AI-підхід до тестування й автоматизації там, де це доцільно
• Аналізувати результати тестування, виявляти вузькі місця та сприяти безперервному вдосконаленню якості
   

Вимоги

• Понад 6 років практичного досвіду в автоматизації тестування
• Глибока експертиза в різних рівнях тестування, включаючи unit, integration, system, UI, performance та stress testing
• Впевнене володіння принаймні однією з мов програмування: JavaScript/TypeScript or Python 
• Практичний досвід роботи із сучасними інструментами автоматизації тестування, такими як Playwright, Cypress
• Досвід використання AI-інструментів для розробки та тестування
• Досвід роботи з CI/CD-пайплайнами та системами контролю версій
• Практичний досвід використання GitLab CI або аналогічних CI/CD-платформ
• Глибоке розуміння методологій забезпечення якості програмного забезпечення та найкращих практик автоматизації тестування
• Розвинені аналітичні навички, навички пошуку й усунення проблем, а також ефективної комунікації
• Рівень англійської мови Upper-Intermediate або вище
   

Буде перевагою

• Досвід роботи з Java або C#
• Досвід роботи з Ranorex
• Досвід роботи в регульованих галузях
• Знання німецької мови

Join Sigma Software to build large-scale data infrastructure powering a real-time AdTech platform processing hundreds of millions of auction requests daily. We are looking for a Senior Data Engineer who enjoys solving complex distributed data challenges and building production-grade ML-oriented data systems.

You will become part of a dedicated Sigma Software team developing predictive modeling and optimization capabilities for a live advertising ecosystem. The role combines large-scale event processing, streaming and batch pipelines, experimentation infrastructure, and high-throughput data engineering in a cloud-native environment.

We as a company offer the opportunity to work on impactful global products, collaborate with experienced engineers, and contribute to architecture decisions while growing your expertise in large-scale distributed systems and modern data platforms.

Customer

Our Customer is a technology company operating supply-side infrastructure within the programmatic advertising ecosystem. The company manages a large-scale ad exchange handling hundreds of millions of auction requests per day and is actively investing in predictive decisioning technologies to optimize advertising outcomes in real time.

Project

The project focuses on building a predictive modeling and optimization platform on top of a live ad exchange environment. The platform performs real-time supply scoring and filtering, contextual performance estimation, look-alike audience generation, and multi-objective optimization under business constraints.

The solution processes massive-scale event and auction datasets and includes feature engineering pipelines, streaming and batch ingestion, experimentation infrastructure, point-in-time-correct training data generation, and ML-oriented data services with strict operational reliability and compliance requirements.

Requirements

• 5+ years of experience in Data Engineering
• At least 2 years of experience working with production ML or large-scale analytics pipelines
• Expert-level SQL skills including window functions and incremental processing patterns
• Strong Python skills for production-grade pipeline development
• Hands-on experience with Spark or PySpark
• Experience designing ETL / ELT pipelines with Airflow, Cloud Composer, Dagster, or similar tools
• Experience working with cloud data warehouses at scale, preferably BigQuery
• Strong understanding of data modeling and point-in-time correctness
• Experience working with event-driven or clickstream datasets at very large scale
• Experience supporting business-critical production pipelines

• Upper-Intermediate English level or higher

   

WILL BE A PLUS

• Experience with GCP services including Dataflow, Pub/Sub, GCS, and Beam
• Experience building streaming or near-real-time ingestion systems
• Understanding of feature stores, train/serve skew, and label leakage prevention
• Experience in AdTech or auction-based environments
• Experience handling delayed or incomplete labels in ML systems
• Experience with dbt or similar transformation frameworks
• Experience delivering solutions into Customer-owned infrastructure
• Knowledge of GDPR/CCPA-related privacy engineering practices
• Experience with experimentation infrastructure and statistical validation pipelines
• Experience working in hybrid cloud/on-prem Linux environments
• Terraform and Kubernetes experience

• Experience optimizing warehouse cost and performance

   

Personal Profile

• Strong analytical and problem-solving skills
• Ownership-oriented mindset
• Ability to work independently in a client-facing environment
• Strong communication and documentation skills
• Comfortable working in a fast-paced engineering environment
• Collaborative and proactive attitude

Responsibilities

• Write and defend diagnostic SQL queries against large-scale production datasets
• Build and maintain ingestion pipelines for bid, win, and impression logs into BigQuery
• Harmonize fields across independently designed datasets and maintain versioned field mappings
• Develop point-in-time-correct feature tables and aggregation pipelines
• Design and maintain conversion and labeling pipelines with delayed label handling
• Own the data serving write path, schema contracts, publishing flows, and freshness SLOs
• Build experimentation infrastructure including traffic splitting and reporting pipelines
• Perform large-scale historical backfills and safe reprocessing after mapping changes
• Implement data isolation and safe-aggregation controls for advertiser data protection
• Develop automated data quality validation frameworks
• Collaborate closely with Customer engineers and prepare operational documentation
• Contribute to architecture discussions and platform scalability improvements

Are you passionate about building production-grade AI systems that continuously learn and improve from real-world feedback? We are looking for a Senior ML Engineer / Data Scientist to help develop intelligent recognition and entity-matching solutions for a large-scale media data platform.

In this fully remote role across Europe, you will work with Large Language Models, evaluation frameworks, and cloud-based ML pipelines to improve automation quality and reduce manual processing efforts. You will collaborate closely with Data Engineering teams and Customer stakeholders while owning the ML lifecycle end-to-end.

We at Sigma Software create impactful technology solutions for global customers and provide engineers with opportunities to work on meaningful, high-scale products using modern AI technologies. This role offers significant ownership, challenging engineering tasks, and the ability to influence production AI systems at scale.
 

Customer

Our Customer operates a large-scale platform focused on processing and structuring advertising and media operational data. The company is actively investing in intelligent automation and machine learning solutions to improve recognition accuracy across multiple station and network layouts while minimizing manual intervention in data processing workflows.
 

Project

The project focuses on building a self-learning Postlog and Prelog recognition system capable of automatically understanding new layouts, extracting structured data, and improving from production feedback. The solution leverages Large Language Models and modern ML practices to optimize recognition quality, entity matching, and confidence-based automation.

You will contribute to the development of scalable AI-driven workflows designed to achieve high automation accuracy, observability, and operational efficiency in production environments.

Responsibilities

• Design and develop a self-learning Postlog and Prelog recognition system using modern ML and LLM techniques
• Build and maintain versioned prompts, evaluation datasets, and few-shot exemplars
• Apply production-grade LLM practices including schema-constrained extraction, grounding strategies, and low-confidence fallback handling
• Improve recognition quality and optimize layout and header mapping performance
• Analyze production failures and enhance prompts, retrieval pipelines, and model behavior
• Run evaluation pipelines and shadow-mode comparisons against legacy systems and gold datasets
• Monitor confidence scores, latency, operational quality, and infrastructure costs
• Develop entity-matching systems for Station, Advertiser, and CreativeID master data
• Implement confidence scoring, thresholding, and auditability mechanisms
• Transform human and machine corrections into labeled signals for continuous model improvement
• Monitor prompt and model drift in production environments
• Collaborate with Data Engineering teams on ML integration and operationalization
• Communicate technical findings and recommendations to engineering teams and Customer stakeholders

Requirements

• At least 5 years of experience in Machine Learning, Data Science, or ML Engineering
• Proven experience delivering ML models or LLM-powered systems into production
• Strong hands-on experience with Large Language Models in real products or pipelines
• Deep understanding of prompt engineering, prompt versioning, evaluation methodologies, and grounding strategies
• Experience handling low-confidence scenarios and optimizing cost and latency for LLM systems
• Strong Python and SQL skills
• Solid knowledge of statistics, confidence estimation, sampling, hypothesis testing, and threshold optimization
• Experience with classification, ranking, matching, or recommendation-related problems
• Understanding of offline evaluation metrics, holdout validation, and production monitoring
• Hands-on experience with AWS cloud services including S3, IAM, CloudWatch, and orchestration services
• Strong communication and collaboration skills
• Upper-Intermediate English level or higher
   

Will be a plus

• LLM-related certifications
• Experience with Amazon Bedrock or equivalent enterprise LLM platforms
• Production experience with Claude/Sonnet-class models
• Experience with Excel or layout extraction systems
• Knowledge of confidence calibration, active learning, or weak supervision techniques
• Experience with cost-aware LLM operations including caching, routing, and fallback models
• Advertising or media domain knowledge
• Familiarity with Glue, Airflow, or similar orchestration and data pipeline tools

Join Sigma Software to help build advanced machine learning solutions for one of the large-scale players in the programmatic advertising ecosystem. We are looking for a Senior Machine Learning Engineer with strong production ML expertise and deep interest in real-time optimization systems, large-scale behavioral data, and AdTech challenges.

In this role, you will work with a dedicated Sigma Software team on a predictive modeling platform integrated with a live ad exchange processing hundreds of millions of auction requests daily. You will contribute to sophisticated ML solutions involving bid optimization, calibration, counterfactual evaluation, and constrained decision-making systems.

We as a company offer the opportunity to work on technically challenging products, collaborate with experienced engineers and data scientists, and make a direct impact on large-scale production systems.

CUSTOMER

Our Customer is a technology company operating supply-side infrastructure within the programmatic advertising ecosystem. The company manages a high-scale ad exchange platform and is investing in predictive decisioning capabilities to improve advertising performance, audience targeting, and campaign optimization through advanced machine learning technologies.

PROJECT

The project focuses on building a predictive modeling and optimization platform on top of a live ad exchange environment. The platform evaluates and filters advertising supply in real time, predicts high-performing audience contexts, builds look-alike audiences from small seed datasets, and optimizes campaign performance across multiple business objectives and operational constraints.

The team works on complex machine learning challenges including censored bid-landscape modeling, sparse and delayed conversion attribution, calibration systems, counterfactual evaluation, and constrained optimization models. The solution is designed for large-scale production use and close collaboration with the Customer’s internal data science organization.

Job Description

• Build and improve censored bid-landscape models to estimate clearing-price distributions from partially observed auction data
•  Develop real-time win probability estimation models responsive to bid pricing dynamics
• Design and implement hierarchical lift estimation models with confidence-bound-based selection strategies
• Build conversion propensity models using sparse, delayed, and aggregate-only labels
• Develop look-alike audience modeling approaches using positive-unlabeled learning and embedding-based nearest-neighbor techniques
• Implement advertiser-level calibration strategies while independently monitoring ranking and calibration quality
• Design robust offline evaluation frameworks using inverse-propensity scoring, doubly-robust estimators, and importance reweighting
• Define exploration strategies and propensity logging approaches to ensure reliable downstream correction and evaluation
• Develop constrained optimization mechanisms for campaign objectives, pricing constraints, and volume targeting
• Contribute to data diagnostics, capability assessments, and evidence-based model recommendations
• Collaborate with the Customer team during post-launch tuning and performance validation cycles
• Prepare technical documentation and knowledge transfer materials for the Customer’s internal data science team
• Participate in architecture discussions and contribute to scalable ML platform design decisions

Qualifications

• 5+ years of experience in Machine Learning or Data Science with production-grade models measured against business KPIs
• Strong Python skills including numpy, pandas, and scikit-learn
• Strong SQL skills and experience working with large-scale datasets
• Deep practical experience with XGBoost, LightGBM, or CatBoost
• Strong understanding of regularization, calibration methods, and categorical feature handling
• Strong knowledge of probability, statistics, confidence intervals, and statistical power analysis
• Experience with feature engineering for structured and behavioral datasets
• Hands-on experience with Spark or PySpark
• Practical knowledge of experimentation frameworks and A/B testing methodologies
• Experience with advanced validation approaches including temporal splits, leakage detection, drift analysis, and slice-based metrics
• Understanding of explainability techniques such as SHAP and permutation importance
• Upper-Intermediate English level or higher

WILL BE A PLUS

• Experience in AdTech modeling including CTR/CVR prediction, bid-landscape modeling, audience segmentation, and RTB mechanics
• Experience working with sparse, delayed, or censored labels
• Knowledge of attribution modeling, survival analysis, and positive-unlabeled learning
• Practical experience with counterfactual and off-policy evaluation techniques
• Understanding of calibration methods including isotonic regression and Platt scaling
• Experience with hierarchical, empirical-Bayes, or partial-pooling models
• Knowledge of constrained or multi-objective optimization approaches
• Experience with uplift modeling and causal inference methods
• Experience with Vertex AI or similar managed ML training environments
• Publications, competitive modeling achievements, or open-source contributions related to Machine Learning or AdTech

PERSONAL PROFILE

• Strong analytical and problem-solving skills
• Ability to work effectively in a highly data-driven environment
• Strong communication and stakeholder management abilities
• Ability to explain complex modeling decisions to technical and non-technical audiences
• Proactive mindset with strong ownership mentality
• Attention to detail and scientific rigor in experimentation and evaluation

We are looking for a Senior MLOps Engineer to join Sigma Software and help build a production-grade ML platform for a large-scale AdTech ecosystem. You will work on infrastructure powering predictive decision-making systems that process hundreds of millions of auction requests daily.

As part of a dedicated engineering team, you will contribute to scalable ML orchestration, model lifecycle automation, observability, and real-time optimization workflows. This role is ideal for engineers with strong production experience who enjoy solving complex platform and operational challenges.

We at Sigma Software offer the opportunity to work on cutting-edge ML infrastructure projects, collaborate with experienced engineers, and influence architecture decisions in a long-term strategic engagement.

CUSTOMER

Our Customer is a technology company operating supply-side infrastructure within the programmatic advertising ecosystem. The company manages a high-load ad exchange platform handling hundreds of millions of auction requests every day and is investing in advanced predictive decision-making capabilities to improve advertiser outcomes and real-time optimization processes.

PROJECT

Sigma Software is building a predictive modeling and optimization platform integrated with a live ad exchange environment. The solution enables real-time supply scoring and filtering, audience look-alike generation, contextual performance estimation, and multi-objective optimization under operational constraints.

The project combines large-scale ML infrastructure, automated model lifecycle management, multi-tenant architecture, and advanced observability practices. The team focuses on delivering reliable, reproducible, and scalable ML systems ready for long-term Customer ownership.

Key Technologies: Python, Kubernetes, Docker, GCP, Vertex AI, MLflow, Airflow, Kubeflow, Argo Workflows, Terraform

Job Description

• Build and maintain ML training orchestration pipelines across hourly, daily, and weekly schedules
• Implement retries, backfills, and idempotent execution mechanisms
• Design and support model registry workflows including versioning, lineage, evaluation gates, and promotion processes
• Develop isolated per-advertiser model environments with namespace and configuration separation
• Build scalable refresh pipelines and publishing workflows for serving infrastructure
• Implement shadow mode and champion/challenger deployment strategies
• Develop monitoring and alerting for ML-specific metrics including feature drift, prediction drift, train/serve skew, and calibration decay
• Ensure reproducibility of ML workflows using containerized environments, pinned dependencies, and data snapshots
• Monitor training and scoring costs across tenants
• Collaborate with DevOps and SRE engineers on CI/CD and infrastructure automation
• Prepare operational documentation and platform handover materials

Qualifications

• 5+ years of experience in MLOps, ML platform engineering, or infrastructure engineering supporting production ML systems
• Strong Python skills and experience building platform-level tooling and automation
• Hands-on experience with Kubernetes and Docker
• Experience building CI/CD pipelines for ML workloads
• Hands-on production experience with MLflow, Kubeflow, Airflow, Argo Workflows, Vertex Pipelines, or similar orchestration and ML lifecycle platforms
• Experience with ML platforms and model lifecycle tools such as Vertex AI, MLflow, or Kubeflow
• Strong understanding of ML observability including drift detection, train/serve skew monitoring, and incident response
• Experience designing or supporting multi-tenant ML systems and isolated model environments
• Experience working with cloud platforms, preferably GCP
• Experience with infrastructure-as-code tools such as Terraform
• Experience with Linux environments
• Understanding of the ML lifecycle and productionization processes
• Upper-Intermediate English level or higher

WILL BE A PLUS

• Experience with feature stores and feature consistency management
• Experience with large-scale batch scoring systems operating under freshness SLAs
• Familiarity with experiment tracking platforms and evaluation gates
• Experience with on-premises Kubernetes or bare-metal Linux infrastructure
• Knowledge of DVC, lakeFS, or other data versioning tools
• Experience with Bigtable, Redis, Aerospike, or similar low-latency serving databases
• GPU scheduling and training cost optimization experience
• Familiarity with SOC 2, ISO 27001, or GDPR-related compliance requirements

PERSONAL PROFILE

• Strong ownership mindset and focus on operational reliability
• Ability to work independently in complex distributed systems environments
• Strong collaboration and communication skills
• Analytical thinking with attention to scalability and maintainability
• Comfortable working in fast-paced product-oriented environments

Our Customer is a Sweden-based AdTech company specializing in advanced self-serve advertising platforms that automate direct transactions between advertisers and major global publishers. Their solutions improve transparency and operational efficiency in digital advertising and are trusted by globally recognized brands including TripAdvisor, Bloomberg, The Washington Post, Opera, and Dow Jones. The company processes millions of advertising transactions worldwide and is actively investing in AI-driven data capabilities.

PROJECT

The project focuses on building a modern data platform from the ground up with an emphasis on immutable event streams, governed canonical models, semantic layers, and scalable analytics infrastructure. The platform will support analytical workloads, operational data products, AI applications, and future customer-facing data experiences.

As a Principal / Staff Data Platform Engineer, you will own key architectural decisions, define scalable engineering standards, and help deliver the first production-ready version of the platform in a high-scale AdTech environment.

Key Technologies: Apache Iceberg, Spark, Flink, Trino, AWS, Python, Scala, Java, CI/CD, Infrastructure as Code

Job Description

• Lead the technical design and architecture of a modern enterprise-scale data platform
• Define scalable data flows from Iceberg-based event storage into analytical and operational data products
• Evaluate and select technologies for orchestration, transformation, querying, serving, and storage
• Design reusable canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains
• Establish scalable engineering patterns for batch and near-real-time processing
• Build reliable and observable data pipelines for high-volume AdTech workloads
• Implement data quality, lineage, observability, and reconciliation capabilities
• Collaborate with Platform Engineering teams to introduce CI-enforced data contracts and governance standards
• Define tenant isolation, access control, and regional data boundary strategies
• Establish standards for testing, deployment automation, schema evolution, and versioning
• Optimize platform performance, scalability, and infrastructure costs
• Mentor engineers and contribute to engineering excellence across the team
• Partner closely with leadership and cross-functional stakeholders

Qualifications

• 8+ years of experience designing and operating production-grade data platforms
• Strong expertise in distributed data systems and high-volume event-driven architectures
• Deep understanding of modern lakehouse architectures and Apache Iceberg
• Advanced SQL skills and production experience with Python, Java, Scala, or similar languages
• Experience with distributed processing and query technologies such as Spark, Flink, or Trino
• Strong knowledge of data modeling, partitioning strategies, and performance optimization
• Proven experience building batch and near-real-time data pipelines
• Hands-on experience with AWS cloud infrastructure
• Strong understanding of CI/CD pipelines, Infrastructure as Code, and production observability
• Experience implementing data contracts, schema evolution, and data quality frameworks
• Ability to make pragmatic architectural decisions in greenfield environments
• Upper-Intermediate or higher English level
• Strong communication and technical leadership skills
   

Will be a plus
 

• Experience in AdTech or other high-volume event-processing domains
• Experience designing multi-tenant SaaS data architectures
• Familiarity with semantic layer technologies
• Experience supporting both analytics and ML/AI workloads
• Understanding of privacy regulations and data residency requirements

Additional information

What success looks like within your first six months:

• The first production data foundation is running.
• Clear architectural decisions have been made and documented.
• Events entering the data platform have enforceable contracts.
• Core canonical entities exist and are tested.
• Data quality and lineage are observable.
• Other engineers can contribute without needing to understand every implementation detail.