GlobalLogic

Description

Our Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

Project goals include automation of tests and processes for new firmware releases; creating tools and reports to help other teams perform better and get data and summaries more easily.

Requirements

• Good Python knowledge and experience
• Experience in the usage of automated testing frameworks
• Experience in BDD Automation
• Good Software Testing skills (good knowledge of test design and testing techniques; excellent reporting and documentation skills)
• At least intermediate English level
• Self-motivated person who is able to work independently and in the team
• Good communication skills
• Ability to learn new technologies quickly

Job responsibilities

• Working with automated test framework 

• Creating automated scripts, tools and reports

• Debugging issues and creating bug reports

• Developing test plans for new features and ensure good level of test coverage

• Contributing to team processes

• Communication with clients and team members

One of the biggest SportTech company infrastructure powers millions of live sports events worldwide – from raw video capture at remote venues to real-time stream delivery and ML-driven monetization. As a DevOps & Platform Engineer, you will be a core contributor to the reliability, scalability, and
operational excellence of our cloud platform.
You’ll work inside a self-service, pod-based engineering model where your job is to build the platforms, pipelines, and guardrails that let product teams ship independently – at high velocity and with full operational ownership. This is a high-autonomy, high-impact individual contributor role with a clear technical growth path.

Why you’ll working here:
• Real Impact: your decisions affect millions of fans, coaches, and venues globally.
• Unique challenges at scale: real-time video, K8S and CDN optimizations, from HW to SW.
• Ownership & Growth: high autonomy, influence platform strategy, clear path to leadership.
• AI-First Culture: cutting-edge AI tools, define how Pixellot leverages AI across engineering.

Join the Team!
If you’re passionate about Kubernetes, cloud infrastructure, and platform engineering – and want to buildself-service systems in a high-scale, 100% hands-on environment – we’d love to hear from you.
 

Requirements:

• 3–6 years in infrastructure, DevOps, or platform engineering roles
• Production-grade Kubernetes experience: EKS/GKE, GitOps (ArgoCD/Flux), service mesh, multi-tenant cluster operations, resource management
• Deep hands-on GitOps and CI/CD: ArgoCD or Flux, kustomize/Helm, rollout strategies, deployment safety, change ownership, audit trails
• AWS platform depth: EC2, EKS, S3, CloudFront, IAM/IRSA, VPC networking, RDS, cost optimization levers
• Platform engineering orientation – you think in platforms and self-service, not one-off scripts or manual runbooks
• AI-first approach – actively uses AI tools to accelerate development and operations; not just aware of them, but fluent
• Ownership mentality – own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact 2
• People leadership skills – You’ve hired, mentored, and grown engineers; conducted performance reviews; and built high-trust, high-performing teams
• Ownership & Communication – own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact

Bonus points if you have:
• GCP experience (GKE, GCS, Cloud Run) or hybrid multi-cloud operations
• Video streaming infrastructure: HLS, RTMP, CDN optimization, live video pipelines
• FinOps / cost optimization: cost attribution, right-sizing, storage lifecycle policies
• Development background (Python, Go, Node.js, or similar) 

Job responsibilities:

• Build and maintain GitOps-based delivery pipelines (ArgoCD) so product pods deploy safely without DevOps intervention
• Design and evolve self-service tooling – golden paths, deployment templates, scaffolding – that reduce pod dependency on the platform team
• Implement deployment safety guardrails: config diffing, change ownership, rollout strategies, and audit trails
• Leverage AI to accelerate development and delivery – leverage industry leading tools and our company’s agentic concepts to speed up development and operational workflows

Description

The company is one of the largest global independent private equity fund administrators, administering over $300 billion of private capital on behalf of its clients with offices in New York, San Francisco, Boston, Stamford, Dallas, and Luxembourg. They offer private fund sponsors a best-in-class combination of people, process, and technology, enabling fund sponsors to most effectively manage their operational infrastructure, financial reporting, and investor communications. The company represents the most experienced and longest-tenured team in the private equity fund administration industry, with broad expertise across buyout, funds of funds, real estate, energy, infrastructure, credit, co-investment, hybrid funds, feeder funds, venture capital, retail, and managed accounts.

Requirements

• 4+ years of commercial software development experience
• Strong hands-on experience with Java and Spring Boot
• Strong hands-on experience with JavaScript and React
• Solid understanding of SDLC and CI/CD concepts
• Experience with RESTful web services and API design
• Strong experience in designing and implementing software modules and systems
• Experience working with SQL databases (MySQL / MS SQL)
• Experience with Git and build tools
• Good understanding of frontend fundamentals (HTML, CSS)
• Practical experience using AI-powered development tools and agentic coding workflows 
• Experience with Claude Code and other AI coding assistants for code generation, refactoring, debugging, and testing
• Understanding of Model Context Protocol (MCP) and experience integrating or using MCP servers and tools
• Familiarity with AI-assisted software development best practices, including prompt engineering, code validation, and security considerations
• English – upper-intermediate

Job responsibilities

• Research, design, develop, and maintain enterprise-wide systems and application software
• Develop and implement new features across both backend and frontend
• Design, implement, and maintain REST APIs and frontend integrations
• Write and execute unit tests to ensure code quality and reliability
• Leverage AI-powered development tools and agentic coding workflows to accelerate software development
• Use Claude Code and other AI coding assistants for code generation, refactoring, debugging, and test automation
• Integrate and leverage MCP servers and tools to extend AI capabilities within development workflows
• Apply AI-assisted development best practices, ensuring code quality, security, and maintainability
• Participate in system design, code reviews, and technical discussions
• Collaborate with cross-functional teams to deliver high-quality solutions

Description

Our client is an innovative U.S. medical device manufacturer that produces devices and software applications.

The project focuses on the development, maintenance, and enhancement of a healthcare technology platform that supports remote diagnostic testing, patient monitoring, and medical reporting.

The platform enables healthcare providers and diagnostic service organizations to manage diagnostic workflows, including test ordering, patient data collection, result processing, and report generation.

Requirements

## Requirements

– Preferred 5–10 years of experience in backend software engineering, with strong hands-on expertise in Node.js, TypeScript, and NestJS, and a proven track record of delivering high-quality software solutions.
– Strong knowledge of JavaScript (ES6+), TypeScript, Node.js, NestJS, and backend application architecture.
– Experience designing, developing, and maintaining scalable APIs, backend services, and integrations with third-party systems.
– Strong experience with PostgreSQL, TypeORM, Redis, and database design, optimization, and performance troubleshooting.
– Understanding of backend architectural patterns, including CQRS, Event Sourcing, asynchronous processing, and message queues (Bull, AWS SQS/SNS, or similar).
– Ability to analyze, understand, and work with existing complex codebases, including legacy components and limited technical documentation.
– Experience investigating existing system architecture, identifying dependencies, and documenting technical solutions.
– Hands-on experience with AWS services, including Lambda, ECS Fargate, S3, RDS, and CloudFront.
– Understanding of authentication, authorization, and API security principles, including JWT, OAuth 2.0, and Auth0.
– Experience writing unit and integration tests using Jest or similar testing frameworks.
– Experience with Git, Docker, code reviews, CI/CD pipelines, and infrastructure deployment processes.
– Upper-Intermediate English (B2+) or higher.

## Nice to Have

– Experience with serverless architectures, microservices, and real-time communication using WebSockets or Socket.IO.
– Experience developing software solutions in the healthcare or medical technology domain.
– Familiarity with HIPAA, healthcare data privacy, and secure handling of sensitive patient information.
– Experience with Infrastructure as Code (Terraform) and GitHub Actions.
– Exceptional problem-solving and analytical skills, with the ability to investigate complex systems and make informed technical decisions.
– Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and lead by example.
– A proactive approach to learning, adapting to new technologies, and driving technical improvements.

Job responsibilities

System Discovery & Technical Analysis

– Analyze and understand the existing application, its architecture, codebase, dependencies, and integrations.
– Investigate existing functionality, business logic, and technical workflows to build comprehensive system knowledge.
– Identify technical risks, architectural limitations, legacy components, and areas requiring improvement.
– Create and maintain technical documentation covering application architecture, key components, integrations, and dependencies.
– Participate in knowledge transfer sessions and collaborate with stakeholders to clarify existing system behavior and requirements.

Application Development & Maintenance
– Lead the design and development of robust, high-availability applications, ensuring they align with our architectural vision and business needs.
– Maintain, enhance, and extend existing applications using React Native and TypeScript.
– Design and implement new features based on business and technical requirements.
– Troubleshoot and resolve application defects, performance issues, and production incidents.
– Refactor and improve existing code to increase maintainability, reliability, and scalability.

If you are tired of patching up legacy code and want to build something from the ground up, this might be for you.

We are looking for an Embedded Architect to spearhead a complete technological shift. We are sunsetting our Embedded Linux setup and migrating the entire ecosystem to NXP microcontrollers running Zephyr OS. You will be working on this project in close collaboration with our client, a global leader in the home appliance industry.

This is a pure greenfield opportunity where you will write the new architectural blueprint, rewrite the core code from scratch, and strategically guide the porting process. It’s an ideal playground for someone who wants full technical ownership and knows how to push Zephyr to its limits.
 

Requirements
 

• Proven experience as a Software Architect.
• Full lifecycle experience: from Start of Development (SoD) to Start of Production (SoP), including familiarity with production-related topics.
• Strong knowledge of the arc42 framework.
• Expert knowledge of RTOS-based development (preferably Zephyr).
• C++ programming skills and experience in embedded software development.
• Deep embedded software know-how, including hands-on experience or solid understanding of the NXP RW610 wireless MCU.
• Practical experience using AI tools/technologies.
• Experience in connectivity and UI development.
• Expert skills in writing requirements and architectural documentation.
• Basic knowledge of security and encryption.
• iSAQB-F certification and one or more advanced training courses (ARCEVAL, SOFT, or IMPROVE) would be an advantage.
• Good command of English.
• Strong communication and collaboration skills.
   

Job responsibilities
 

• Architect robust and scalable software solutions for embedded systems within the LaundryCare domain
• Design and define the software architecture for M3uC (Microcontroller Unit)-based systems, ensuring modularity and maintainability.
• Develop comprehensive architecture documentation, including design specifications, interface definitions, and technical guidelines.
• Drive the implementation of core software components using C++ in an RTOS environment.
• Ensure adherence to architectural standards and quality gates throughout the software development lifecycle.
• Optimize software performance and resource utilization within embedded constraints.
• Conduct architectural reviews and provide constructive feedback to ensure design integrity and alignment with strategic goals.
• Troubleshoot and resolve complex technical issues related to software architecture and embedded system integration.

We are looking for Senior Embedded C Developer to join our team in Lviv, Ukraine.

Our customer is one of the world’s largest manufacturers of construction tools, looking to expand its market presence through new functional and hardware solutions.

As an experienced developer, you will implement functionality for a new type of device that is not yet available on the market, maintain existing embedded system libraries, and develop integrated automated Hardware-in-the-Loop (HIL) testing systems to improve production code quality. You will work on software development for industrial construction tools.

Requirements

• Proficiency in C programming
• Programming experience with ARM Cortex-M-based microcontrollers (STM32 preferred)
• Knowledge of Hardware-in-the-Loop (HIL) testing
• Experience with real-time operating systems and multithreading
• Knowledge of embedded interfaces (SPI, UART, CAN, I2C, etc.)
• Experience with CI/CD tools: Git and Jenkins
• Familiarity with Agile/Scrum methodologies
• Intermediate or higher level of English proficiency

Nice to have:

• Ability to read and understand electrical schematics
• Python programming skills
   

Job responsibilities

• Design and implement new features
• Participate in architecture discussions and propose technical solutions and directions
• Maintain and update existing embedded software
• Communicate with the customer on a daily basis

Project Description

GlobalLogic Ukraine is inviting an Embedded C Developer to join its Lviv office.

The customer is one of the biggest enterprise construction tools producer. They want to extend their market with new functional and HW solutions.

As an experienced developer, you will implement functionality for a new type of device that is not yet on the market, support existing of embedded system libraries, and create integrated automatic hardware-in-the-loop testing systems to leverage production code quality.

You will work on software development of industrial construction tools.

Job Description

• Pro-active, team player, good soft skills
• C programming language
• Good programming experience with ARM Cortex-M based MCUs (STM32 preferable)
• HIL (Hardware-in-the-Loop)
• Experience with real-time operating systems/Multithreading
• Networking — Useful background
• Embedded interfaces knowledge (SPI, UART, CAN, I2C...)
• CI/CD: git, Jenkins
• Agile/SCRUM

• Intermediate+ English level

  Nice to have:

• Read and understand electrical schematics
• Python
•  

Job Responsibilities

• Design, implement new features
• Architecture & Technical Direction — Participate in architecture discussions and bring forward technical decision proposals
• Update/maintenance of existing embedded software
• Customer communication on daily basis - Work directly with PM/PO to translate business priorities into technical plans

Job Description

• Good JavaScript / TypeScript knowledge and basic experience with modern IDEs/Dev tools (e.g., VS Code, Chrome DevTools)
• General knowledge of operating systems, REST APIs, network protocols (HTTP/HTTPS), and databases (SQL/NoSQL basics)
• Fundamental knowledge of QA tools and version control (Cypress, Mocha/Chai, Git)
• Eagerness to learn test automation, modern web testing patterns, and front-end frameworks
• Solid software testing fundamentals (test design techniques, boundary value analysis, test case creation, and clear bug reporting)
• At least intermediate English level (written and spoken)
• Good interpersonal and communication skills

Job Responsibilities

• Working closely with a Mentor on a production project
• Working with the automated end-to-end (E2E) test framework (written in JavaScript/TypeScript with Cypress) and maintaining/extending it
• Creating and maintaining automated test scripts for web applications
• Analyzing test failures, fixing broken Cypress tests, and submitting clear bug reports
• Monitoring CI/CD automation test runs and reporting results to the team
• Communicating effectively with team members and project stakeholders

Department/Project Description

Our customer operates an innovative, decentralized care model designed for patients with serious, complex, or high-risk illnesses. Rooted in the medical home model, the organization emphasizes coordinated, accessible, and continuous care led by primary care physicians, integrating medical, social, and behavioral health services to achieve comprehensive patient outcomes.

The project objective is to design, implement, and maintain robust end-to-end automation for modern web applications and API integrations across the customer's healthcare ecosystem. You will participate in developing and maintaining test plans, test cases, and Cypress automation scripts to ensure high quality and patient data reliability.

About the project:
You will work with the leader of the US Broadcasting Market and one of the biggest companies that is providing Broadcasting Media Entertainment to users on OTT.

Job Description

• 5+ years of software development experience building backend/fullstack services
• 2+ years of experience in and knowledge of React.js and Next.js (incl. solid understanding of core React.js principles)
• Advanced level of knowledge of Python
• Advanced level of AI assisted development (code analysis and generation, agentic workflows, multi-agent pipelines)
• Strong level of knowledge of JavaScript and TypeScript
• Experience with AWS
• Experience withLangChain + LangGraph
• Experience with RESTful, MCP and RAG
• Strong verbal and written communication skills
• BS or MS degree in Computer Science or equivalent
• Good culture fit and excellent team player

It would be a plus if you have:

• Experience with Onyx
• Experience with Go
• Experience with Docker, Kubernetes

Job Responsibilities

• Build innovative functionality for AI Hub website
• Code, test, document and deliver fullstack features
• Determine the strategic and tactical direction of the back-end architecture
• Participate in Agile development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
• Collaborate with program managers, marketing, designers, software engineers in tests to build and enhance the UI

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

OU’s: Currently, Nuero, Cardio, Diabetes is the OU that HDP data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.
 

Requirements

• Business analyst
• API specifications
• Product management
• Requirements definition
• Validation

Technical Person, has expertise with writing requirements.

• 5+ years of previous BA experience.
• Excellent written and spoken skills in English. Advanced level of English;
• Knowledge of SDLC;
• Analytical set of mind;
• Strong communication skills;
• Teamwork
• Presentation skills;
• UML modeling experience;
• SW QA or Dev experience.

NICE TO HAVE

• Previous Healthcare or Medical Device experience
• Experiance working with AI
• Experiance working with Cloud
• Experience working with Healthcare Data
• Building software classified as Software as a Medical Device (SaMD)
• Experience implementation enterprise grade cyber security & privacy by design into software products
• Experience working in Digital Health software
• Experience developing global applications
• Strong understanding of SDLC – Waterfall & Agile methodologies
• Software estimation
• Experience leading software development teams onshore and offshore
• AWS Cloud Native Services

Job Description:
 

• 4+ years overall commercial experience in software quality assurance
• 1+ years of experience in API Test Automation
• Practical experience with Python programming and some (or all) tools like GIT, Gerrit, Jenkins
• Strong understanding of testing theory (testing types, levels, technics, etc.)
• Practical experience with Web services testing, a good understanding of REST, HTTP, client-service architecture
• Understanding of a software development life cycle and Agile principles
• Understanding of best practices in software development (code reviews, CI\CD, etc.)
• Upper-Intermediate English level (read / write / speak)

• Good analytical and problem-solving skills, proactive and innovative
   

  Job Responsibilities:

• Active participation in design, implementation and maintenance of automated acceptance test framework performed after install, updates and upgrades for further using by internal and external customers
• Review of new features’ requirements, review of test-cases, test-case coverage
• Creating and maintaining automated test cases for feature and system functional and non-functional testing
• Maintaining and contributing into the test automation framework based on Python & Pytest & Allure
• Bugs reporting, tracking and verification
• Collaborating with client’s team lead, subject matter experts and developers of a big distributed team
   

Our customer:

• is a leader in OSS/BSS IT space (350+ customers) over years
• Is a leader in Gartner OSS Magic Quadrant for 7th year in a row
• executing and securing projects and competence on long-term strategies
• transforming and changing to meet edging technology demands

Our product

• Provides a complete end-to-end solutions covering : Orchestration of Private cloud Resources and Services, CNF/VNF testing and onboarding, Closed loop Assurance
• Key component for enterprise and 5G use cases fulfilment within OSS/BSS domain
• Supporting multivendor cloud environments (Kubernetes, Openstack, KVM, Virtual Cloud Director, AWS and Azure)
• Deployed over 60+ global telco operators (CSP)
• Used by 5 world lead CSPs in US, Europe, Asia and Australia

Our opportunity

• You will enhance practical experience in latest python test coding to cover cool new features in complex OOP based back-end automation project in space of Private cloud orchestration
• Python based framework development, improvement and support for automating complex workflows
• Following best practices . Your brave ideas appreciated and always supported for implementation
• Practice with threads and async python features, python libs (Rest , ssh, db etc) in performance area testing for large-scale applications.
• Working in a team of passionate engineers who are keen to bring to life best quality testware
• Constant opportunity to learn and grow professionally by solving interesting and diverse working tasks

Job Description

At least 2 years of experience in IT project management
At least 3 years of purely development background with great understanding of underlying base technology (-ies) in one of the following: C++, Java, .NET
Experience in managing team(s) of at least 5 team members
Experience with variety of methodologies including (waterfall and agile ones)
Experience with different source control and task tracking systems (preferably Jira and Git)
Advanced English
Goal oriented mindset
Leadership attitude
Ability and willingness to learn, grow and travel
At least one project driven through the whole project life-cycle

Optional Requirements:

Financial side of delivery management experience
Visit oversees client and host clients in the office
Experience with media
Experience with video streaming
Experience with applications consuming REST APIs
Experience building backend
Experience with mobile (Android/iOS)
Experience with GANTT tools (i.e. MS Project)

Job Responsibilities

Lead several projects at a time
Drive project from initiation to closure within budget and schedule
Drive fix bid project estimations in coordination with sales team and delivery leads
Manage team and talent acquisition
Coordinate cooperation with internal departments
Coordinate and/or resolve technical issues

Department/Project Description

A project in the advertising industry for the media 
 

Job Description

Candidate evidence
Candidates should be prepared to present a sanitised example of work they personally led or substantially
contributed to, such as an enterprise conceptual model, business or domain ontology, taxonomy or cross-system
semantic harmonisation initiative. Experience limited to physical schemas, dimensional models or ERDs derived
from source systems is not sufficient.

Must-have experience

• Demonstrable hands-on delivery of conceptual data models in complex enterprise environments.
• Practical experience developing or applying business or domain ontologies, taxonomies or related knowledge-representation models.
• Experience defining concepts independently of application schemas and vendor technologies.
• Experience reconciling conflicting terminology and entity representations across systems or business
  domains.
• Strong understanding of identity, classification, relationships, cardinality, grain, time, lifecycle and business
  rules.
• Proven ability to facilitate decisions with business experts and architecture stakeholders and communicate clearly in English.
• Ability to translate conceptual work into logical models and practical implementation guidance.

Nice-to-have experience

• Energy, utilities, industrial infrastructure, asset management or service domains.
• Modelling assets, equipment, telemetry, maintenance, documents, media evidence or AI-generated
  observations.
• Metadata management, business glossaries, lineage, provenance and data governance.
• Knowledge graphs or standards such as RDF, RDFS, OWL, SKOS or SHACL.
• Dimensional modelling, Data Vault, modern lakehouse patterns and open semantic specifications such as
  Apache Ossie.
• Awareness of Microsoft Azure, Fabric, Databricks, dbt and multi-region or multi-tenant data platforms.

Job Responsibilities

Key responsibilities
 

• Work with business experts and architects to define important concepts, terminology, classifications and
  relationships.
• Develop and maintain enterprise and domain conceptual data models, taxonomies and pragmatic business
  ontologies.
•  Distinguish business concepts from source-system records, application objects, tables and APIs.
   Reconcile conflicting terminology, identifiers and representations across SAP, Salesforce, IoT and other
  systems.
• Define entity identity, lifecycle, temporal meaning and relationships, including evidence, observations and
  machine-derived assertions.
• Translate conceptual models into logical models, data contracts and implementation guidance together with
  data architects and engineers.
• Maintain traceability from business definitions to source data and downstream data products.
• Facilitate modelling workshops, document semantic decisions and establish practical modelling standards.

Expected deliverables

•  Enterprise and domain conceptual data models
• Governed vocabulary, definitions and synonyms
• Taxonomies, classification models and a pragmatic business or domain ontology
• Entity identity, relationship, lifecycle and temporal definitions
• Concept-to-source and concept-to-logical-model mappings
• Modelling standards, semantic decision records and implementation guidance

Department/Project Description

Project context
The project  is a long-term data platform initiative for the energy infrastructure domain. It will
integrate enterprise data from SAP, Salesforce and legacy systems with IoT telemetry, documents, images and
machine-derived observations. The platform will support analytics, applications and governed AI use cases
across multiple regions, tenants and cloud environments.

Role purpose
Lead the development of the enterprise conceptual data model and supporting ontology. Establish consistent
business meaning across domains and source systems, then guide its translation into logical models, data
products and semantic definitions.

Description

We are seeking a Senior Software Engineer to join our Fleet Migration Team. The team develops software tools that automate customer VM movement across data center clusters without service disruption. You will write the automation services and coordination scripts that power our large-scale transition to ARM hardware.

Requirements

Education & experience: Bachelor of Science in Computer Science, Systems Engineering, or a related field, plus heavy experience in systems automation and backend tool development.
Programming Languages: High proficiency in Python and Go, along with Bash scripting.
Virtualization & OS: Good understanding of Linux hypervisors, VM storage snapshots, and state transfer mechanisms.
API & Systems: Experience building CLI tools, REST APIs, and database-backed workflow engines.

Job responsibilities

Build and maintain backend services and CLI scripts to automate customer-driven warm/cold VM migrations.
Implement state tracking, validation checks, and rollback logic for automated migration jobs.
Integrate migration automation with central database state stores and orchestration APIs.
Troubleshoot migration failures and performance bottlenecks during operational test runs.

Description

Step into a mission-critical role at the intersection of Generative AI and life-saving technology. We are partnering with a titan of Japanese industry to revolutionise how medical and industrial equipment is managed in hospitals and facilities worldwide. You will be a founding member of a team building a sophisticated GenAI platform designed to provide instant, intelligent access to complex product knowledge—from assembly and configuration to intricate repair procedures. This project is in its infancy, offering you the unique “greenfield” opportunity.

Requirements

Must Have
Extensive experience as a Senior DevOps / Cloud Engineer supporting cloud-native platforms.

Strong hands-on experience with Microsoft Azure, including:
Azure Data Lake Storage (ADLS Gen2)
Azure Functions
Azure Event Grid
Azure AI Services / Azure OpenAI (from an infra & security perspective)
Azure Monitor, Log Analytics, Azure Cost Management

Solid experience with Infrastructure as Code (IaC) using Terraform and/or Bicep.
Strong knowledge of CI/CD pipelines using Azure DevOps (pipelines, artifacts, environments).
Experience designing and operating event-driven architectures.
Strong understanding of security best practices:
– Microsoft Entra ID (Azure AD)
– RBAC, Managed Identities
– Azure Key Vault
Experience supporting data platforms (ETL pipelines, storage layers, batch processing).
Comfortable working with evolving architectures.
Strong troubleshooting skills across cloud infrastructure, networking, and application layers.

Nice to Have
Experience operating or designing on-prem or hybrid Kubernetes environments.
Experience with Azure Databricks and data engineering workloads.
Familiarity with AI/ML platform operations (model deployments, quotas, scaling, monitoring).
Experience with cost optimization for data- and AI-heavy Azure workloads.
Exposure to regulated or industrial domains (Healthcare, Manufacturing, Industrial Equipment).
Knowledge of security/compliance frameworks.

Job responsibilities

As a Senior DevOps Engineer, you will be responsible for designing, implementing, and operating the infrastructure that supports a modern data and AI-driven platform. You will play a key role in enabling a secure, scalable, and reliable environment that supports data ingestion, AI-driven enrichment, semantic search, and user-facing applications.

Your responsibilities include:
Designing and maintaining Azure cloud infrastructure for data ingestion, processing, enrichment, and search workloads.
Implementing and managing CI/CD pipelines for application, data processing, and infrastructure components.
Establishing secure access patterns using Entra ID, Managed Identities, and Azure Key Vault.
Operating and monitoring event-driven processing pipelines based on Azure Functions and Event Grid.
Collaborating closely with data engineers, ML engineers, and solution architects to ensure infrastructure aligns with platform evolution.
Implementing monitoring, logging, and alerting to ensure operational reliability.
Managing cost visibility and optimization as cloud usage grows.
Contributing to future initiatives involving Kubernetes-based ingestion, advanced data processing, and enterprise-scale operations