Jobs DevOps

Hey there!

It’s an amazing time to join Digicode as we continue empowering as many innovators as possible to change the world. We deliver outstanding technology consulting, R&D, design, and software development services in the USA, UK, and EU markets. This is where you come in.

Join an engineering team developing a cutting-edge AI-powered platform that leverages Artificial Intelligence and Large Language Models (LLMs) to deliver highly relevant, privacy-focused digital experiences through low-latency, real-time distributed systems.

As a DevOps Engineer, you will play a key role in designing, automating, and maintaining a secure, scalable AWS cloud infrastructure that supports high-throughput, business-critical applications. You will collaborate closely with software engineers to enhance platform reliability, performance, security, and deployment automation while applying modern DevOps practices, Infrastructure as Code, and cloud-native technologies.

Requirements:

• 3+ years of DevOps, Cloud Infrastructure, or Systems Engineering experience.
• Strong hands-on experience with Amazon Web Services (AWS).
• Experience administering Linux production environments.
• Strong knowledge of networking, security, and cloud infrastructure.
• Hands-on experience with Terraform and Infrastructure as Code.
• Experience with Docker and containerized workloads
• Experience building and maintaining CI/CD pipelines.
• Experience with monitoring, logging, and incident response.
• Understanding of cloud migration strategies and infrastructure automation.
• Experience supporting PCI-compliant or security-sensitive environments.

• Good spoken and written English level (you will use it on the daily basis)

   

Nice-to-have:

• AWS Certifications (Solutions Architect, SysOps Administrator, DevOps Engineer, or similar).
• Experience with Kubernetes or container orchestration.
• Knowledge of high-availability and disaster recovery architectures.
• Experience with scripting (Bash, Python).

• Experience supporting high-throughput, low-latency distributed systems.

   

Responsibilities:

• Design, implement, and maintain AWS cloud infrastructure.
• Manage Linux servers, monitoring, alerting, and incident response.
• Build and maintain Infrastructure as Code (IaC) using Terraform.
• Automate infrastructure provisioning, deployments, and operational workflows.
• Manage containerized environments and cloud-native services.
• Maintain network configuration, security, and access controls.
• Support cloud migration and infrastructure modernization initiatives.
• Ensure platform availability, scalability, and disaster recovery readiness.
• Implement and maintain CI/CD pipelines. Support PCI compliance, security best practices, and IT governance.
• Collaborate with engineering teams to improve operational efficiency and reliability.

What To Expect From Digicode?

• 🌎 Work from Anywhere: From an office, home, or travel continuously if that’s your thing. Everything we do is online. You’re all set as long as you’re in the same time zone as your project colleagues.
• 💼 Professional Development: We offer great career development opportunities in a growing company, international work environment, paid language classes, conference and education budget, & internal 42 Community training.
• 󰩔 Work-life Balance: We provide employees with 18+ paid vacation days and paid sick leave, a flexible schedule, medical insurance for employees and their children, and a monthly budget for things like a gym or pool membership.
• 🙌 Culture of Openness: We’re committed to fostering a community where everyone feels welcome, seen, and heard, with minimal bureaucracy, and flat organization structure.
  And, also, corporate gifts, corporate celebrations, free food & snacks, and play & relax rooms for those who visit the office.
• Our culture is unique, and we live by our beliefs and core values. For more information on what it’s like to work at Digicode, please take a look at our career page.

• We offer official type of employment via GIG-contract.

   

Did we attract your attention? Send your CV and let’s talk:)

*By submitting your resume, you automatically agree to the storage and processing of your personal data in accordance with the current legislation of Ukraine. We guarantee confidentiality at all stages of cooperation.

We are seeking a talented Senior DevOps Engineer to join our dynamic team.

🕐 Engagement: Part-time, approximately 4 hours per day

📍 Polygraph: On-site in Kyiv

🏠 Work format: Fully remote
 

What is this project about?
An analytics platform for the defense domain that uses artificial intelligence to analyze data from multiple sources, generating meaningful insights and recommendations. By automating data analysis and highlighting key findings, the platform helps organizations make faster, more informed decisions, reduce manual effort, and improve overall business performance.
 

What is the team size and structure?
Project Manager, Architect, ML Engineers, UI/UX Designer, Business Analyst, Backend Engineers, DevOps.
 

What is the interview process like?
Recruiter interview — up to 30 minutes;
Technical interview — up to 1.5 hours;
Polygraph screening (on-site in Kyiv).
 

Requirements:

● 4+ years of hands-on experience in DevOps or infrastructure engineering;
● Strong experience with on-premise or hybrid infrastructure setup, including Linux OS configuration, networking, storage, and environment preparation;
● Experience with containerization and deployment tooling, including Docker, container runtime configuration, and service deployment;
● Strong experience building and maintaining CI/CD pipelines for development, testing, and technical validation environments;
● Understanding of AI/ML infrastructure needs, including inference serving setup, GPU-based workloads, model-serving environments, and evaluation harness support;
● Experience with monitoring, logging, access control, secrets management, and troubleshooting of infrastructure and deployment issues;
● Intermediate level of English;
 

Responsibilities:
● Configure base infrastructure for the first phase, including Linux OS setup, networking, storage, containerization, and required development environments;
● Set up and maintain CI/CD pipelines to support development, deployment, and validation activities;
● Support inference serving stack setup, including deployment environment preparation for model serving and evaluation harness;
● Ensure infrastructure stability, access control, secrets management, logging, and basic monitoring for technical validation environments;
● Collaborate with architects, backend engineers, and ML engineers to identify infrastructure needs, deployment constraints, risks, and required improvements;
 

We're looking for an SRE / DevOps engineer to build the reliability layer for a platform that commands live power plants. No unified log pipeline, no dashboard anyone watches, no rehearsed restore - the app runs in production, the layer underneath it is a set of habits. You decide what the observability stack looks like, what an alert may wake a person up for, and how failover is designed and tested.

Second part is physical: with the Infra Lead, dispatch control room - workstations, UPS, local network, secured remote access to plants. Grafana in one tab, a rack in the other.

Must have

• 4+ years SRE / DevOps / systems engineering, Linux daily: services, systemd, storage, performance diagnostics
• Real experience with physical or VPS servers, not cloud consoles only - UPS, RAID, remote management. Cloud-only profile is an automatic no
• Cloud VMs: provisioning, patching, hardening, capacity planning, TLS, nginx
• Docker / Docker Compose in production: dev/staging/prod layouts, registry, zero-downtime deploys
• Observability you built yourself: Prometheus + Grafana or equivalent, log pipeline (fluent-bit / ELK class), and an alerting philosophy you can defend
• Redundancy you tested: PostgreSQL backup/restore and replication, Redis failover, measured recovery. You can describe a backup you personally restored
• Networking: WireGuard or similar, firewalls, DNS, TLS, diagnosing cloud ↔ office ↔ plant links
• CI/CD as code (GitHub Actions or similar), promotion through environments
• Bash + Python for automation
• English B2

We are looking for a Middle+/Senior DevOps Engineer to take ownership of the infrastructure and operational reliability of Talisa, an established e-commerce platform.

The primary focus of this role is to ensure the stability, availability, security, and predictable operation of our production and staging environments. Talisa is a mature product, so the role is less about building new infrastructure from scratch and more about maintaining and continuously improving an existing production environment.

You will be responsible for infrastructure maintenance and upgrades, monitoring and incident response, security patching, infrastructure automation, CI/CD, capacity and cost optimization, and reducing operational risk.

We value operational discipline, careful change management, automation, documentation, and proactive identification of reliability or security issues.

Key responsibilities

Infrastructure Management:

• Operate and maintain Talisa production and staging AWS environments, ensuring stability, performance, and availability.
• Plan and execute infrastructure upgrades with proper testing, rollback procedures, and documentation.

• Monitor capacity, backups, recovery readiness, and AWS costs.

   

Security Ownership:

• Own infrastructure security, including OS patching, hardening, and vulnerability remediation.
• Maintain protection against malicious traffic, bots, and DDoS attacks using CloudFront, AWS WAF, and related services.
• Support infrastructure security and compliance requirements.

Observability & Monitoring:

• Maintain monitoring, logging, dashboards, health checks, and actionable alerts.
• Investigate production incidents, perform root-cause analysis, and escalate application issues when needed.
• Improve alert quality and maintain operational runbooks.

Automation & Efficiency:

• Automate repetitive operational tasks using Bash/Python and CloudFormation.
• Maintain and improve CI/CD pipelines.
• Ensure infrastructure changes are documented and reproducible.

Team Collaboration:

• Work with development and QA teams on deployments, troubleshooting, and infrastructure changes.
• Prioritize planned infrastructure work alongside production and monitoring issues.

Requirements

• Experience: 4–6+ years in DevOps/SRE (Strong Middle/Senior).
• AWS: Strong hands-on experience with EC2, RDS/MySQL, VPC, CloudFront, WAF, IAM, CloudWatch, and S3.
• Linux & Docker: Strong production administration and troubleshooting skills.
• IaC & Automation: Experience with CloudFormation, Bash/Python, Git, and CI/CD.
• Security: Good understanding of infrastructure security, patching, access control, and DDoS/web protection.
• Operations: Experience with monitoring, incident response, backups, recovery, and safe production changes.
• Ownership: Proactive, disciplined, and focused on reliable, documented infrastructure.
• AI Tools: Comfortable using AI-assisted engineering tools.
• Communication: Strong communication skills; Intermediate+ English.

Technical Stack

• Cloud & IaC: AWS (EC2, VPC, ALB, Lambda, S3, CloudFront), CloudFormation, Docker.
• Main Platform: Magento2 (PHP).
• Databases: RDS (MySQL), ElastiCache (Redis), MongoDB.
• Observability: AWS CloudWatch, Route53 health checks, Graylog.
• Process: GitHub, GitHub Actions, JIRA/Confluence.

Work Schedule

8 hours per day, 5 days a week.

Sometimes it’s necessary to react to nightly alerts/outages.

What We Offer

• 100% Remote.
• Ownership: Direct influence on the observability and security/compliance of the project.
• Direct Access: transparent team collaboration.
• Stability: Competitive salary with long-term growth potential.

What You Will Do

• Advise teams on DevOps best practices, processes, and tools.
• Improve the overall Software Development Life Cycle (SDLC).
• Design, implement, and maintain monitoring, tracing, and logging infrastructure.
• Build and maintain CI/CD pipelines and supporting cloud infrastructure.
• Maintain and optimize custom-built systems, with scalability, reliability, and security in mind.
• Support the migration of services from GCP-hosted Kubernetes environments to AWS using serverless frameworks and architectures.
• Help establish and reinforce development best practices and deployment procedures.
• Create automation scripts for system deployment, monitoring, maintenance, and operational workflows.
• Support both cloud-based and on-premises or distributed systems.
• Produce clear and detailed technical documentation for systems, processes, and procedures.

• Promote continuous improvement across infrastructure, operations, and software delivery.

   

Requirements

• At least 3 years of professional experience working with AWS and/or GCP cloud services.
• At least 3 years of experience with technologies such as:
  • AWS Lambda or other cloud functions
  • Amazon Route 53
  • Amazon VPC
  • Amazon EC2
  • Pub/Sub messaging systems
  • Kubernetes
  • Serverless Framework
• At least 2 years of experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, AWS CodeBuild, and AWS CodePipeline.
• At least 2 years of experience with source-control platforms such as GitHub and AWS CodeCommit.
• At least 2 years of experience monitoring distributed systems, preferably with Datadog.
• Experience implementing secure Software Development Life Cycle practices.
• Strong scripting skills using PowerShell, Bash, or Node.js. Python experience is an advantage.
• Fundamental knowledge of Linux and Windows operating systems.
• Practical experience with Docker, Kubernetes, and REST APIs.
• Experience working with on-premises or distributed solutions.
• Solid understanding of ITIL principles and a proactive approach to continuous improvement.
• Ability to create accurate, detailed, and well-structured technical documentation.
• Strong problem-solving skills and a self-driven, hands-on working style.
• Passion for technology and the ability to influence technical decisions across software-development teams.

• Commitment to completing tasks with precision, accountability, and integrity.

   

Advantages

Experience with any of the following would be an advantage:

• AI or MLOps, including NVIDIA Jetson or other NVIDIA technologies
• Agile software-development methodologies
• Cloudflare services
• Helm
• Docker Compose
• Swagger or OpenAPI documentation
• SQL and NoSQL databases, including DynamoDB, MongoDB, and MySQL
• AWS or GCP professional certifications

Innovecs is a global digital services company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Collaboration Tech, and Gaming.

For the fifth year in a row, Innovecs is included in the Inc. 5000, the list of fastest-growing private companies in the US, and a ranking of the best global outsourcing service providers by IAOP. Recently, Innovecs was honored with the prestigious Global Good Awards for the Employee Engagement & Wellbeing, won gold at the Employer Brand Management Awards, and was included in the Global Top 100 Inspiring Workplaces Ranking.

Our value to you:

• Flexible hours and remote-first mode,
• Competitive compensation,
• Complete Hardware/Software setup – anything you need for work,
• Open-door culture, transparent communication, and top management at a handshake distance,
• Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave,
• Access to our learning & development center: workshops, webinars, training platform, and edutainment events,
• Virtual team buildings and social activities.

If you feel like you’re the perfect match for this role, drop us your CV! 

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.
 

Requirements

Education & Experience:

• 5+ years of experience in DevOps roles with deep,
• Strong hands-on experience with Microsoft Azure,
• Hands-on experience with CI/CD pipeline development, maintenance, and improvement, preferably using GitLab Ultimate,
• Hands-on experience with Docker and Kubernetes (AKS & EKS),
• Proficiency in Infrastructure as Code (IaC), primarily using Terraform,
• Experience in monitoring, performance optimization, and system security,
• Excellent problem-solving skills,
• Cost-conscious approach to infrastructure and DevOps solutions,
• Proactive mindset: ability to identify gaps, risks, inefficiencies, and propose improvements,
• Strong ownership attitude and ability to work independently with minimal supervision.

Nice-to-Have Skills:

• Practical experience with AWS, especially in hybrid or multi-cloud environments,
• Advanced Cloud Security: Experience with cloud-native security tools, identity management, and implementing security best practices,

• MLOps Experience: Exposure to building or managing infrastructure for machine learning pipelines (e.g., Azure Machine Learning, AWS SageMaker, MLFlow, KubeFlow).

   

Responsibilities

• Design, build, and maintain secure, scalable, and resilient cloud infrastructure across Azure,
• Develop and automate CI/CD pipelines for application deployment using GitLab Ultimate,
• Manage and optimize containerized environments using Docker and Kubernetes (AKS/EKS),
• Implement and maintain Infrastructure as Code, primarily using Terraform,
• Monitor system performance, ensure high availability, and proactively address issues,
• Apply cloud security best practices, including identity management and threat detection,
• Continuously evaluate and integrate new tools and technologies to improve DevOps processes.

Project Description:

Monitoring and diagnostics system which fulfills both local and remote data access and analytics requirement, as well as local and remote
troubleshooting purpose.

Responsibilities:

-Analyze, design and implementing solutions for Edge using AWS greengrass components
-Building the code and logic required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python or programming languages.
-Building analytics solutions that provide valuable insights for clients and end users.
-Work in an agile project team which has specific goals and deliverables.
-Translate business demands into architecture requirements.
-Responsible for providing technical support and / or leadership in the creation and delivery of technology solutions designed to meet customers' business needs and, consequently, for understanding customers' businesses.
-Shape technical direction and technical strategies within the organization and for external customers.
-Guide the project team members on specific deliverables.

Mandatory Skills Description:

• Degree in Computer Science, IT, or similar field
• 6+ years of relevant working experience as a Devops Engineer or in a similar role
• Technical expertise with CI/CD
•Terraform and Infrastructure as Code.
•CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).
•Docker and Kubernetes.
•Python and/or Bash scripting.
•Monitoring and observability tools (CloudWatch, Grafana, Prometheus).
•Understanding of cloud security and networking.
• Understanding of Industrial IoT
• AWS, GreenGrass IoT - must
• Experience in real-time data processing systems
• Hands-on experience with SQL database design
• Great numerical and analytical skills

• Strong ownership, accountability, and committed to delivery deadlines
•Resilience
•Proactive and effective communication

Nice-to-Have Skills Description:

AWS certification
GreenGrass

Project overview

The project focuses on building a modern observability platform for AI driven applications and autonomous agent ecosystems. The solution provides comprehensive tracing, metrics collection, logging, and monitoring capabilities across cloud based services, enabling reliable operations, performance analysis, and operational insights.

Position overview

We are looking for a Senior Observability Engineer with strong experience in OpenTelemetry, AWS observability services, and Python based instrumentation. You will design and implement observability solutions for AI powered applications and agent based systems, ensuring end to end visibility, monitoring, tracing, and telemetry collection across distributed environments.

Team

You will work with observability engineers, software engineers, AI engineers, cloud specialists, and platform architects. The team collaborates closely on designing scalable telemetry solutions, defining observability standards, and supporting production grade AI and cloud workloads.

Technology stack

Python, OpenTelemetry, AWS Distro for OpenTelemetry (ADOT), AWS CloudWatch, AWS X Ray, AWS AgentCore Observability, LangChain, W3C Trace Context, W3C Baggage Propagation, YAML, Git, CI/CD, Cloud Infrastructure
 

Responsibilities

• Develop and maintain observability solutions for cloud native and AI powered applications
• Implement OpenTelemetry instrumentation for Python services and distributed systems
• Design telemetry pipelines using AWS Distro for OpenTelemetry
• Configure and optimize metrics, logs, and tracing integrations with AWS CloudWatch and AWS X Ray
• Implement distributed tracing using W3C Trace Context and Baggage propagation standards
• Integrate and monitor LangChain based workflows and AI application components
• Design structured logging standards and telemetry data models
• Collaborate with engineering teams to define observability requirements and establish monitoring best practices
• Support performance analysis, troubleshooting, and incident investigation activities
• Contribute to the evolution of observability architecture for agent based systems and AI workloads

Requirements

• 3+ years of experience in observability engineering
• Experience implementing OpenTelemetry instrumentation for Python applications and services
• Experience with AWS CloudWatch including Metrics, Logs, and Structured Logs
• Experience integrating AWS X Ray for distributed tracing and performance analysis
• Strong understanding of telemetry concepts including metrics, traces, logs, and distributed observability
• Experience working with cloud environments and production systems
• Knowledge of W3C Trace Context and Baggage propagation standards
• Experience working with source control systems and collaborative development practices

Nice to have

• Experience with LangGraph or Strands agent frameworks
• Knowledge of OpenTelemetry GenAI SIG semantic conventions
• Experience configuring AWS Distro for OpenTelemetry collectors and export pipelines
• Familiarity with AWS AgentCore Observability capabilities
• Experience supporting observability for AI applications, agentic systems, or LLM powered solutions
• Knowledge of cloud native monitoring and distributed systems architectures

We're looking for a Senior Azure Platform / AI Engineer for a long-term engagement with an enterprise client. You'll work directly with the client's IT and Security teams in a sprint-based model. 

What you'll do:

• Design and maintain Azure infrastructure: AKS, Entra ID, Private Endpoints, VNets, Network Security Perimeters, multi-region
• Deploy and operate AI/ML workloads: Azure OpenAI, AI Foundry, RAG, multi-agent systems, vLLM, embedding pipelines
• Own IaC & CI/CD: Terraform, GitHub Actions, OIDC federation, Helm/Kustomize, secret management
• Data integrations: Microsoft Fabric, PostgreSQL, Python ETL, Power BI API
• Backend/frontend support: Python/FastAPI (async), React + TypeScript (Vite)

Stack:
Azure AKS Entra ID RBAC Key Vault APIM AI Search Azure OpenAI AI Foundry Azure ML Terraform GitHub Actions Helm Microsoft Fabric PostgreSQL FastAPI React TypeScript

Requirements:

• 5+ years of Azure platform engineering
• Strong communication with enterprise clients (English)
• Experience working with IT/Security stakeholders

Nice to have:

• Production AKS & Azure ML model serving
• Azure OpenAI in production
• Locked-down / regulated Azure tenants
• FDE or embedded team experience

Format: Remote, Europe, long-term , sprint model, start ASAP.

Your future responsibilities:

• Integrate security tools and practices into CI/CD pipelines (SAST, DAST, SCA, container scanning, etc)
• Implement security as a service in AWS and Kubernetes environments, enforce security policies across infrastructure and applications
• Implement integrations and perform DevOps tasks for authentication and authorization platforms, collaborate with Golang/Java developers
• Design, implement, and deploy scalable, reliable, and secure devops infrastructure
• Monitor and troubleshoot production systems to ensure optimal performance, low latency, and high availability. Implement and maintain monitoring, logging, and alerting systems
• Automate security checks and compliance validation in deployment workflows
• Own and maintain critical infrastructure and DevOps services end-to-end
• Contribute to technical documentation, security guidelines, and knowledge sharing
• Leverage AI tools and automation to accelerate development, troubleshooting, and security operations

Your skills and experience:

• Proficiency in managing and orchestrating containerized applications with Kubernetes (deployment, scaling, monitoring, security)
• Hands-on experience with Git, AWS, k8s, Vault, Helm, Prometheus, Grafana, PostgreSQL
• Experience with GitOps tools such as Argo CD, Flux, or similar
• Solid understanding of CI/CD pipeline implementation with integrated security scanning
• Knowledge of DevSecOps practices and shift-left security principles
• Experience with security scanning tools (Trivy, Snyk, SonarQube, Checkov, or similar)
• Experience with infrastructure-as-code tools (Terraform/Terragrunt)
• Understanding of container security best practices and image hardening
• Experience with secrets management solutions (HashiCorp Vault, AWS Secrets Manager, or similar)
• Strong problem-solving and troubleshooting abilities
• Solid understanding of Linux systems and networking fundamentals
• Proactive mindset with a sense of ownership and accountability

Nice to have

• Knowledge of OAuth 2.0, OpenID Connect, or similar authentication protocols
• Background in high-availability and secure system design
• Knowledge of network security, firewalls, and zero-trust architecture
• Experience automating security tasks with AI-powered tools or scripts
• Openness to using AI-assisted development tools

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral reward program for attracting new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional “maternity leave” for fathers, and financial assistance for parents upon the birth of children
• Comfortable working conditions: the possibility of a hybrid work format, offices equipped with shelters and generators, provision with modern equipment
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist or lawyer; discount program for sports and shopping; family days for children and adults; massage in the office
• Learning and development: access to over 130 online educational resources; corporate training programs, online library, mentoring program
• A great team: our colleagues are a community where curiosity, talent and innovation are welcomed. We support each other, learn together and grow. You can find like-minded people in over 15 professional communities, reading or sports clubs
• Career opportunities: we encourage advancement within the bank between functions
• Innovation and technology. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Andorid)Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink, we develop expertise in AI and actively integrate it into processes
• Support program for defenders: we preserve jobs and pay the average salary to mobilized people. We have a support program for veterans, and the Bank’s veteran community is developing. We are working to raise awareness among managers and teams on the issues of veterans’ return to civilian life. Raiffeisen Bank is recognized as one of the best employers for veterans (Forbes)
  ______________________________________________________________
  Твої майбутні обов’язки: 
• Впровадження безпеки як сервісу в середовищах AWS і Kubernetes, забезпечення політик безпеки в інфраструктурі та застосунках
• Реалізація інтеграцій і виконання DevOps-задач для платформ автентифікації та авторизації, співпраця з розробниками Golang/Java
• Проєктування, впровадження та розгортання масштабованої, надійної й безпечної DevOps-інфраструктури
• Моніторинг і усунення несправностей у продакшн-системах для забезпечення оптимальної продуктивності, низької затримки та високої доступності; впровадження і підтримка систем моніторингу, логування та сповіщень
• Автоматизація перевірок безпеки та валідації відповідності у процесах розгортання
• Повна відповідальність за критичну інфраструктуру та DevOps-сервіси (end-to-end)
• Участь у створенні технічної документації, рекомендацій із безпеки та обміні знаннями
• Використання AI-інструментів і автоматизації для пришвидшення розробки, діагностики та операцій безпеки
• Твій досвід та навички:
• Впевнені навички керування та оркестрації контейнеризованих застосунків із Kubernetes (деплоймент, масштабування, моніторинг, безпека)
• Практичний досвід роботи з Git, AWS, k8s, Vault, Helm, Prometheus, Grafana, PostgreSQL
• Досвід роботи з GitOps-інструментами, такими як Argo CD, Flux або аналогами
• Ґрунтовне розуміння побудови CI/CD пайплайнів із вбудованим скануванням безпеки
• Знання практик DevSecOps і принципів shift-left security
• Досвід використання інструментів сканування безпеки (Trivy, Snyk, SonarQube, Checkov або аналогів)
• Досвід роботи з інструментами інфраструктури як коду (Terraform/Terragrunt)
• Розуміння найкращих практик безпеки контейнерів і харденінгу образів
• Досвід роботи з рішеннями для управління секретами (HashiCorp Vault, AWS Secrets Manager або аналогами)
• Сильні навички розв’язання проблем і діагностики
• Добре розуміння Linux-систем і основ мереж
• Проактивний підхід, почуття відповідальності та власності
• Буде плюсом:
• Знання OAuth 2.0, OpenID Connect або подібних протоколів автентифікації
• Досвід проєктування високодоступних і безпечних систем
• Знання мережевої безпеки, фаєрволів і архітектури zero-trust
• Досвід автоматизації завдань безпеки за допомогою AI-інструментів або скриптів
• Відкритість до використання інструментів розробки з підтримкою AI
• Пропонуємо те, що має значення саме для тебе: 
• Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми, онлайн бібліотека, програма менторства
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid) Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink, розвиваємо експертизу в AI та активно інтегруємо в процеси
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes)

Lead stability, scalability, and operational excellence at scale.

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced Infrastructure Lead who’s ready to grow with us and shape high-load, data-driven solutions used by international partners.

 

Your key responsibilities will include:

– Owning and managing cloud infrastructure across production, staging, and development environments.
– Designing, implementing, and maintaining CI/CD pipelines and deployment automation.
– Ensuring production stability, high availability, and scalability of all platform services.
– Configuring and maintaining monitoring, alerting, and observability tooling.
– Leading incident response for infrastructure-related issues and driving post-incident reviews.
– Planning and executing capacity management to support platform growth.
– Optimizing infrastructure costs: tracking spend, eliminating waste, right-sizing resources.
– Maintaining disaster recovery procedures, runbooks, and on-call readiness.
– Coordinating with development teams on infrastructure requirements and service dependencies.
– Managing developer tooling and internal platform services to support engineering productivity.
– Ensuring security best practices and compliance requirements across infrastructure.
– Continuously improving deployment processes, reliability, and operational efficiency.
– Leading, mentoring, and growing a team of infrastructure engineers.
– Validating and challenging technical estimates to ensure realistic commitments and early risk visibility.
– Reviewing team output for quality, completeness, and alignment with technical standards.

It’s a match if you have:

– 5+ years of experience in infrastructure, DevOps, or platform engineering roles, including at least 2 years in a lead or senior position.
– Strong hands-on experience with AWS (EC2, RDS, S3, ECS/EKS, Lambda, VPC, IAM, CloudFront, Route53, ElastiCache, SQS/SNS).
– Experience with AWS Organizations (multi-account management, SCPs, consolidated billing).
– Proficiency with Infrastructure as Code tools (Terraform, Ansible).
– Deep knowledge of Docker and Kubernetes (autoscaling, network policies, cluster management).
– Experience with Helm, ArgoCD (GitOps workflows), GitLab CI or GitHub Actions.
– Strong monitoring expertise (Datadog, Prometheus, Grafana, ELK, PagerDuty, JSM).
– Experience with Cloudflare (CDN, WAF, DDoS mitigation, Zero Trust).
– Solid networking fundamentals (DNS, ALB/NLB, VPN, VPC peering, firewalls).
– Strong security practices (IAM, Secrets Manager/Vault, CSPM, patch management, compliance readiness).
– Experience with high-load systems, load testing (k6, Locust, Gatling), capacity planning.
– Experience with databases (RDS PostgreSQL/MySQL, DocumentDB, Redshift, Redis/ElastiCache, Kafka).
– Strong Linux administration and scripting skills (Bash, Python).
– Proven ability to mentor engineers and validate technical estimates.
– Strong communication skills and ability to proactively surface risks.

Nice to have:

– Experience in regulated or high-availability environments.

You see infrastructure not as a support function, but as a strategic driver of business stability and growth?
Send over your CV now — we’d love to get to know you better!

We are seeking a hands-on AI Platform Engineer to join our team. The primary mission of this role is to operate, automate, manage, and evolve
our enterprise AI Platform so that internal development teams can rely on a stable, secure, scalable, and well-governed environment for building AI solutions.
This is a platform engineering and operations role, not an application development position. The ideal candidate is proactive, autonomous, understands cloud platform engineering principles, and can execute technical initiatives with minimal supervision.
The role spans infrastructure, CI/CD automation, API management, platform governance, and AI services, with a strong emphasis on Infrastructure as Code and operational excellence.

Requirements:

• Hands-on experience operating enterprise platforms in Microsoft Azure environments
• Strong experience with Terraform and Infrastructure as Code practices
• Experience designing and maintaining CI/CD pipelines using Azure DevOps
• Practical knowledge of Azure API Management (APIM)
• Experience with Azure AI Foundry, Azure OpenAI, or related Azure AI services
• Understanding of cloud networking, security, identity management, and access control
• Strong troubleshooting and problem-solving skills.
• Proven ability to work autonomously and manage tasks end-to-end

Nice-to-Have Skills:

• Experience with Portkey AI for LLM routing, observability, guardrails, caching, or governance
• Knowledge of multi-model AI platforms and model gateway architectures
• Familiarity with AWS Bedrock or other cloud AI platforms
• Experience implementing platform observability solutions and operational dashboards

• Knowledge of enterprise AI governance, compliance, and security controls

   

Candidate Profile:

• Operates independently while keeping stakeholders informed and aligned
• Has a platform-first mindset and understands how developers consume shared services
• Is comfortable working across infrastructure, DevOps, API management, and AI services
• Takes ownership of operational excellence, automation, and continuous improvement
• Is proactive, reliable, and capable of driving technical tasks from design through implementation
• Learns quickly and adapts to an evolving cloud and AI technology landscape

• Values documentation, standardization, and long-term maintainability of platform solutions

   

Job responsibilities:

AI Platform Operations

• Troubleshoot platform-level issues and coordinate resolution across multiple Azure services
• Support platform scalability, reliability, availability, and operational excellence
• Manage lifecycle operations for LLMs, embedding models, AI services, and platform environments across development, non-production, and production
• Administer and maintain Azure AI Foundry workspaces, projects, model deployments, connections, and platform configuration

Infrastructure as Code & Automation

• Develop, maintain, and enhance Infrastructure as Code using Terraform
• Build and manage reusable infrastructure modules, templates, and deployment patterns
• Automate environment provisioning, configuration management, and platform operations
• Ensure consistency and repeatability across environments through automation
• CI/CD & DevOps
  Design, implement, and maintain CI/CD pipelines using Azure DevOps
• Manage build, release, deployment, validation, and rollback processes
  Improve deployment reliability through testing, automation, and release governance
  Promote DevOps best practices across the platform ecosystem

API Platform & Integration Management

• Operate and maintain Azure API Management (APIM) as a core component of the AI Platform
• Configure APIs, policies, authentication, authorization, throttling, and routing mechanisms
• Support secure exposure of AI capabilities to internal development teams
• Assist in troubleshooting API connectivity, authentication, and integration challenges

Observability & Monitoring

• Configure and maintain platform-wide logging, monitoring, tracing, and telemetry
• Build dashboards and reporting for platform usage, performance, adoption, cost, and operational health
• Monitor platform capacity, quotas, consumption, and service reliability
• Implement alerting and diagnostics to ensure stable platform operations

We are seeking a skilled Middle Ops/DevOps Engineer with practical experience in the Microsoft Azure cloud ecosystem. In this role, you will be responsible for designing, developing, and maintaining modern cloud-based solutions while ensuring their reliability, scalability, and security in accordance with established engineering best practices.

The primary focus will be on the Microsoft cloud stack, including Azure and Microsoft 365. This is a fully remote position, with responsibilities covering automation, operations, and support for both our internal infrastructure and Cloud Solution Provider (CSP) customers.

We are looking for a highly proactive and engaged team member who is passionate about research and development. You should enjoy tackling complex and non-trivial challenges, demonstrate a strong attention to quality, carefully analyze potential solutions, and take pride in delivering robust, well-considered results.

Main Responsibilities

– Automate operational processes using tools such as PowerShell

– Provide support and troubleshooting for environments managed on behalf of our CSP customers.

– Monitor Azure, Microsoft 365, and CSP environments, respond to incidents, and help drive overall system stability.

– Administer and utilize Jira and Confluence for project and documentation management.

– Research and evaluate new Microsoft cloud technologies and features to enhance our services.

– Maintain and improve our internal cloud infrastructure.

– Support the team with Ops/DevOps-related questions and tasks.

– Design, develop, and deploy applications and services within the Azure cloud environment.

– Participate in architecture design activities and assist in selecting appropriate Azure services and technologies.

– Conduct R&D activities within the Microsoft Fabric platform, exploring new technologies and proposing innovative solutions.

– Implement and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.

– Optimize the performance, reliability, and security of cloud solutions.

– Integrate with other Microsoft services, such as Power BI, Azure SQL, and Azure Functions.

– Collaborate with cross-functional teams, including project managers, data teams, operations, and business stakeholders.

Mandatory Requirements

– At least 2 years of experience in an Ops/DevOps role.

– Experience automating operational processes using PowerShell, Python, Azure Logic Apps, Power Automate, and similar tools.

– Ability to support and troubleshoot environments for CSP customers.

– Proficiency in monitoring Azure, Microsoft 365, and CSP environments, incident response, and ensuring system stability.

– Experience administering and using Jira and Confluence.

– Ability to research and evaluate new Microsoft cloud technologies and features.

– Experience maintaining and improving internal cloud infrastructure.

– Capability to support the team with Ops/DevOps-related tasks and questions.

– A minimum of 2 years of hands-on experience with Microsoft Azure, including services such as App Services, Azure Functions, Logic Apps, Azure SQL, and Storage.

– Experience with CI/CD tools, such as Azure DevOps and GitHub Actions.

– Knowledge of DevOps practices and tools in cloud environments.

– Familiarity with Agile development processes and tools like Jira.

– Familiarity with containerization technologies, such as Docker and Azure Container Instances; experience with Kubernetes is a plus.

– English proficiency sufficient for reading technical documentation and participating in team discussions.

Preferred Qualifications

– Experience with Infrastructure as Code tools, including ARM, Bicep, and Terraform.

– Knowledge of security best practices in cloud development.

– Microsoft Azure certifications, such as AZ-104 minimum

– Experience with monitoring and logging tools, including Azure Monitor and Application Insights.

We offer

– Opportunities for professional growth and international certification.

– Free technical and business training, as well as access to top bootcamps worldwide, including Microsoft HQ courses in Redmond.

– Participation in innovative data and analytics projects and hands-on experience with cutting-edge Microsoft technologies.

– Long-term employment, not just temporary project-based work.

– An individual development plan tailored to your career goals.

– Access to an English-speaking club to help develop your language skills.

We are looking for a Senior DevOps Engineer to design, build, and operate scalable, highly available infrastructure on AWS. This role is primarily focused on AWS-native container platforms, while also requiring hands-on Kubernetes experience for hybrid workloads, tooling, and platform support.

Experience Level

• 5+ years of professional experience in DevOps, SRE, or cloud infrastructure roles
• 3+ years of hands-on experience operating production workloads on AWS

What You’ll Do

• Design and manage AWS infrastructure using Terraform
• Build and maintain CI/CD pipelines using Jenkins and GitHub Actions
• Deploy, operate, and scale containerized applications using AWS-native container services, including: 
  • Amazon ECS and ECS on Fargate
  • Amazon ECR
  • Application and Network Load Balancers
• Configure and tune autoscaling, high availability, and fault-tolerant architectures
• Work with Kubernetes environments, including cluster-level operations and local cluster setup for development
• Support and improve local developer build environments
• Ensure production systems are reliable, secure, and observable

What We’re Looking For

• Strong hands-on experience with AWS and Infrastructure as Code (Terraform)
• Production experience running containers on ECS and/or Fargate
• Hands-on experience with Kubernetes, including working with clusters in production or development environments
• Solid understanding of autoscaling, redundancy, and resilient system design
• CI/CD expertise with Jenkins and GitHub Actions
• Strong Linux, networking, and troubleshooting skills

Nice to Have

• Experience operating EKS or hybrid ECS/Kubernetes environments
• GitOps or deployment automation experience
• Familiarity with AWS observability and cost-optimization tooling
• AWS certifications

We are looking for a Senior VoIP / Unified Communications Engineer to design, deploy, and support a centralized VoIP phone system for six retail locations in the United States.

The role is highly hands-on and requires strong production experience with Asterisk or FreeSWITCH, US telephony, SIP infrastructure, networking, and multi-location environments.

The initial stage will focus on architecture and deployment, with an opportunity for ongoing maintenance and further development.

About the project

Each location will have its own:

• US phone numbers / DIDs
• Extension range
• Outbound Caller ID
• Business hours and holiday schedules
• IVR
• E911 emergency address

Employees must also be able to call extensions across locations.

The VoIP platform will be centrally managed and integrated with CRM systems.

Responsibilities

• Design and document the VoIP architecture
• Recommend and deploy Asterisk / FreePBX or FreeSWITCH / FusionPBX
• Configure 6 locations as separate sites or tenants
• Configure local and cross-location extension dialing
• Configure US DIDs, SIP trunks, inbound/outbound routing and Caller ID
• Implement E911 and per-location emergency addressing
• Configure IVRs, ring groups, queues, voicemail, call recording, business hours and holidays
• Provision IP phones and softphones
• Troubleshoot SIP, RTP, NAT, codecs and one-way audio
• Review network requirements: VLAN, QoS, PoE, firewalls and Internet failover
• Implement security against toll fraud, brute-force attacks and unauthorized registrations
• Set up monitoring, alerting, backups and disaster recovery
• Maintain technical documentation and train internal administrators
• Provide post-launch support

Requirements

• 4+ years of hands-on production VoIP experience
• Strong production experience with Asterisk or FreeSWITCH
• Strong knowledge of SIP, SDP, RTP, NAT and codec negotiation
• Experience with sngrep, Wireshark and packet captures
• Strong Linux and networking skills
• Experience with US SIP trunk providers and DID routing
• Experience with multi-site or multi-tenant VoIP environments
• Experience with monitoring, backups, PBX security and disaster recovery
• Strong written technical documentation skills
• Ability to communicate technical decisions clearly in English

• Availability to overlap with US business hours

   

Nice to have

• Experience with UCaaS / CCaaS, hosted PBX, CPaaS or telecom SaaS
• Experience with call-center or automotive/dealership products
• Telephony integration with CRM, APIs and webhooks
• Experience with FusionPBX, Kamailio, OpenSIPS, SBCs or RTPengine
• Experience with Telnyx, Bandwidth, Twilio, Flowroute or similar US carriers
• Knowledge of E911, STIR/SHAKEN, CNAM and caller reputation
• Experience with Yealink, Poly or Grandstream provisioning
• Experience with SMS/MMS and A2P 10DLC
• CDR, call events and call-recording storage
• Bash, Python or Node.js
• High Availability / Disaster Recovery experience

• Previous experience working for a VoIP, UCaaS, contact-center or telecom company serving the US market

   

Work format

Remote

The project is focused on the US market, so partial overlap with US business hours is required.

We are looking for a specialist who can take ownership of the technical solution from architecture and deployment through launch and ongoing support.