GlobalLogic

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.

Requirements

• 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)
• Upper-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

Job Description

1. Ability to work on-site from GlobalLogic’s Lviv office on a regular basis is a mush
2. 2+ years of commercial experience in testing web applications
3. Intermediate (B2) or higher English level – both written and spoken (good grammar, ability to understand native speakers, and respond clearly)
4. Strong understanding of principals & approaches to software testing
5. Experience and confidence in testing task estimation
6. Strong understanding of Agile principles and ceremonies, with practical experience working in Agile environments
7. Basic SQL skills – ability to write simple queries independently
8. Basic REST API testing skills – hands-on experience with Postman and/or Swagger

Job Responsibilities

1. Requirement analysis and task estimation
2. Planning and organizing own work within sprint scope
3. Test scope analysis, researching application logic, and creating comprehensive test suits
4. Executing tests, reporting issues, tracking progress, and maintaining active communication with BAs, developers, and project leadership
5. Reporting results and conducting internal (team-level) and external (client-facing) sprint demo sessions
6. Collaborating with other Scrum teams, Automation QA, and Performance Testing teams
7. Maintaining office hardware environments in operational condition and cooperating with Scrum teams and L3 Support on hardware-related tasks

Department/Project Description

People
USA: Client’s base location, including top management, R&D, several manufacturing facilities, and testing labs.

Ukraine / Poland: GlobalLogic management (project, release, architecture) and 4 Scrum teams with full competencies: Business Analysis, Development, and Testing. Additional teams include Performance Testing, Test Automation, L3 Support, and Design. The Lviv office hosts a large hardware lab. The GlobalLogic team counts 100+ specialists and continues to grow.

Product
We develop a POS solution that enables both attended (employee) and unattended (customer) tunnel car wash services.

There are two hardware labs supporting the U.S. and Canadian markets: Ohio, USA and Lviv, Ukraine. A single hardware set includes multiple points of sale, various sensors, readers, cameras, payment terminals, servers, and automatic gates. The Ukrainian team develops a PWA and a hybrid web application (.NET & Angular) that runs on both hardware and cloud, covering the complete customer flow: from account creation to recognition to sale and car guidance through the tunnel. All embedded development is handled by the client’s team in the USA.

GL Scrum teams have hardware dependencies based on the functional areas they support, therefore on-site presence in the Lviv office is required.

Flow
The project follows SAFe at the product level and base Agile practices with 2-week sprints at the team level. The scope is planned quarterly using SAFe planning principles and maintained in a product roadmap. Each sprint includes mandatory daily stand-ups, grooming, planning, demo, and retrospective sessions.

Releases are scheduled a year in advance and occur every 4 weeks, each including a comprehensive stabilization cycle covering manual, automated, and performance testing.

General Project QA structure
Each Scrum team has its own Manual QA Lead and several Manual QA Engineers, typically 2-3 per team with varying levels of seniority. Across GlobalLogic teams, there are 11 Manual QA, 6 Automation QA, and 5 Performance Engineers, all managed by a single Quality Manager.

On the customer side, there is a QA Director overseeing all of the client’s products - both those developed by GlobalLogic and those handled internally - supported by a pool of 10 Manual QA Engineers. Collaboration between GlobalLogic and U.S.-based QA teams is frequent and closely aligned.

Description

GlobalLogic/Hitachi Digital is partnering with a leading global threat intelligence platform to design and deliver an enterprise-scale Human-in-the-Loop (HITL) AI agent platform. The initiative aims to accelerate expert analyst decision-making by combining generative and agentic AI with human expertise.

As a Senior ML Ops Engineer – GCP, you will play a key role in building and operating the Google Cloud infrastructure behind this platform. Your responsibilities will include infrastructure as code, deployment automation, model serving, automated retraining pipelines, and secure integration with enterprise data systems. You will also lead production operations and Hypercare, ensuring the platform remains reliable, secure, and scalable after go-live. The initial engagement is planned for 4 months, with the possibility of extension depending on project needs.

Fully remote.

Requirements

• 5+ years of experience in DevOps or platform engineering, including at least 2 years supporting ML workloads in production.
• Strong hands-on experience with Google Cloud Platform (GCP) and Terraform.
• Experience with Vertex AI Pipelines, Endpoints, and Model Registry, or an equivalent MLOps platform.
• Experience building CI/CD pipelines using Cloud Build or GitHub Actions, working with containers, and deploying workloads on Kubernetes.

• Experience implementing enterprise security controls, including IAM, secrets management, and network security perimeters.

  Nice to have:

• Experience with inference optimization techniques, such as ONNX and quantization.
• Familiarity with MLflow, LLM observability tools, and data engineering in BigQuery.

• Relevant Google Cloud certifications, such as Google Cloud Professional-level certifications.

   

Job responsibilities

• Design, provision, and manage cloud infrastructure using Terraform, including Vertex AI, Cloud Run/GKE, Pub/Sub, BigQuery, Cloud SQL, Secret Manager, IAM, and VPC Service Controls.
• Build and maintain CI/CD pipelines for services and ML models, including model registry and experiment tracking capabilities.
• Deploy and optimize ModernBERT model serving to achieve low-latency, cost-efficient inference at scale.
• Automate model retraining based on feedback volume or model drift, with validation and approval gates before promoting models to production.
• Build and operate the data infrastructure supporting analyst feedback and precedent data, using BigQuery and a vector store.
• Implement secure, auditable access to the client’s MCP servers, including authentication, token management, and Cloud Logging.
• Establish observability for system performance, inference latency, cost, and model quality; lead Hypercare, production monitoring, and incident response.

Job Description
8+ years of software development experience, including experience working on complex backend, distributed systems, data infrastructure, or data-intensive projects.
Proven experience designing and developing scalable backend platforms, distributed services, query engines, data-processing systems, or infrastructure components handling large volumes of data or high-throughput workloads.
Strong hands-on experience with Scala, Java, or another JVM-based language, with the ability to work effectively in Scala-based production codebases.
Hands-on experience with Apache Spark, preferably with Scala, for large-scale distributed data processing.
Experience building or working with distributed query engines, SQL engines, or data access/query platforms, such as Trino, Presto, Spark SQL, Hive, or similar technologies.
Hands-on experience with modern data lake and table formats, such as Apache Iceberg, Delta Lake, Apache Hudi, or similar technologies.
Strong understanding of data lake architecture, including table formats, partitioning, schema evolution, snapshots, versioning/time travel, data consistency, transactions, and compaction.
Experience working with large-scale production data platforms, including environments with large numbers of tables, partitions, or high-volume data processing workloads.
Deep understanding of distributed systems, data processing, storage engines, or data infrastructure, including scalability, fault tolerance, concurrency, and performance optimization.
Experience developing and troubleshooting high-throughput, low-latency, production-grade systems.

The role is primarily focused on backend, distributed systems, data infrastructure, and system-level engineering rather than full-stack application development.
Job Responsibilities
Architect & Build: Lead the architecture, design, and implementation of highly scalable, complex backend systems and robust data infrastructure using Scala.
Data Lake Engineering: Design and manage enterprise-grade data lake solutions leveraging Apache Iceberg or equivalent table formats, ensuring optimal data consistency, transactions, schema evolution, partitioning, and compaction.
Performance Optimization: Maximize system throughput, minimize latency, and optimize resource utilization across large-scale distributed data processing systems.
Production Excellence: Systematically diagnose, troubleshoot, and resolve complex, high-impact production and customer-facing infrastructure issues.
Codebase Modernization: Champion the gradual improvement and modernization of a mature, production-critical codebase without causing disruption to active customers or services.
Technical Leadership & Collaboration: Act as a technical authority, fostering strong communication and collaboration across engineering teams to align on technical objectives.
Navigate Ambiguity: Exercise a strong ownership mindset to operate effectively and deliver high-quality outcomes in areas with limited documentation or historical knowledge.
Department/Project Description
We are seeking an expert Data/Backend Infrastructure Engineer with strong distributed systems experience, large-scale data processing, cloud-native architecture, data lake/table formats, query engines, and production systems engineering.

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.

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)

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.

Job Description:

• Bachelor’s or master’s degree in computer science, Computer Engineering, Machine Learning, or a related field, with 5+ years of overall industry experience;
• Strong computer science fundamentals; able to design and implement efficient algorithms with ease;
• 1+ years of hands-on experience with agentic AI and/or LLM-based agents or applications;
• Proven experience designing and building middleware platforms, REST APIs, and distributed systems at scale;
• Advanced proficiency JavaScript and/or Python, with deep familiarity with AI/ML libraries (PyTorch, Transformers, LangChain, etc.);
• Solid understanding of microservices architecture, message queues (Kafka, Pub/Sub etc), and cloud-native development (AWS/GCP);
• Experience working with vector databases and retrieval-augmented generation (RAG) pipelines;
• Demonstrated success building and deploying agentic AI use cases in production, such as sales automation, operations agents, or analytics bots;

Job Responsibilities:

• Build intelligent agents that plan, reason, and take actions using LLMs (GPT, Gemini, Claude, LLaMA, etc.);
• Implement RAG pipelines, long-term memory, action orchestration, and multi-agent collaboration;
• Translate business requirements into autonomous workflows and smart features that generate business value;
• Apply advanced prompt engineering, tool use, and function-calling strategies to drive agent behavior;
• Design and implement robust middleware that connects APIs, AI models, databases, and services in scalable ways;
• Architect service-oriented and event-driven systems that enable real-time decision-making by agents;
• Build secure, resilient integration layers that facilitate communication between business systems (CRM, ERP, OMS, etc.);
• Ensure observability, monitoring, and governance of agent operations and system interactions;
• Partner with product managers, data engineers, and backend teams to align system capabilities with business goals;
• Lead architectural discussions and make trade-off decisions regarding scalability, modularity, and performance;
• Mentor engineers and contribute to architectural standards and AI enablement framework

Project Description:

Our client is the leading American company that pioneered the TV streaming platform, connecting consumers to streaming content through its operating system and devices. It develops and sells a range of hardware, such as streaming players, branded smart TVs, and audio products, while also licensing its OS to other TV manufacturers. The company generates revenue through device sales, platform services, licensing, advertising, and subscriptions facilitated through its platform.

Client sells various hardware, including streaming players and sticks, that allow users to access streaming services on their TVs.
Client also sells smart TVs that come with its own operating system pre-installed, often referred to as its top streaming platform in the US and Canada;
This is the foundation of the company's platform, powering both its own devices and TVs from other manufacturers that license the software.
A free, ad-supported streaming platform that offers a mix of on-demand and live content.
Provides digital advertising services to help businesses reach consumers on its platform.
This position is for highly specialized, senior-level engineers focused on designing, building, and deploying autonomous, intelligent software agents powered by LLMs. The core mission involves translating complex business needs into real-time, autonomous workflows by implementing advanced LLM capabilities, including Reasoning, Planning, RAG, long-term memory, and tool use/function calling.

Job Description

Required Qualifications:

• 7+ years in software engineering, including 3+ proven experience as a Solution Architect or senior technical lead in IoT-related projects.
• Strong understanding of IoT ecosystems including hardware, firmware, connectivity options, and cloud platforms (AWS IoT, Azure IoT, GCP IoT alternatives).
• Hands-on experience with microservices, APIs, messaging systems, and event-driven architectures.
• Familiarity with data ingestion, edge computing, and real-time analytics.
• Solid understanding of security best practices for IoT (device identity, encryption, data protection).
• Proficiency in more than one programming languages (Python, .NET/C#, C/C++, Node.js).
• Experience with containerization and orchestration (Docker, Kubernetes) is a plus.

Nice-to-Have Skills:

• Energy domain knowledge and experience
• Experience with digital twins, device management platforms, or industrial IoT systems.
• Experience in monitoring or responsible AI practices.
• Knowledge of embedded systems or hardware design.
• Certifications (AWS/Azure/GCP Architect) are an advantage.

Job Responsibilities

Key Responsibilities:

• Actively participate in the presale and discovery activities.
• Collaborate with cross-functional teams to translate business needs into architectural requirements, constraints, and quality attributes.
• Design and document distributed IoT solution architectures including devices, connectivity, cloud components, APIs, data pipelines, and integrations.
• Lead technical decision-making and ensure architectural coherence across IoT initiatives.
• Evaluate IoT technologies, frameworks, and standards (e.g., MQTT, DNP3, OPC, Azure/AWS IoT, vector databases, agentic frameworks).
• Define NFRs, ensure high standards of security, reliability, performance, and data governance across workloads.
• Guide development teams through implementation and provide architectural oversight throughout the project lifecycle.
• Produce architecture diagrams, documentation, and technical guidelines.

Department/Project Description

We are looking for an experienced Solution Architect with strong expertise in IoT. You will actively participate in presale activities, discovery phases and design and guide the implementation of end-to-end solutions that combine IoT data and cloud services. You will work closely with engineering teams, product managers, and business stakeholders to build architectures that are scalable, secure, and aligned with business goals.

Department/Project Description

The project focuses on developing and modernizing a global data platform that supports data-driven marketing and advertising analytics for a leading international company.
The goal is to improve data quality, scalability, performance, and the reliability of data processing.

Job Description

 - Familiarity with Google Cloud Platform, including BigQuery, Cloud Composer (Airflow), Compute Engine, and Monitoring.
 - If you have hands-on with AWS or Azure, this experiecne is also considerable.
 - Strong proficiency in Python, including experience in building, testing, and deploying ETL/ELT pipelines in production
 - Experience developing data quality frameworks, including automated tests, cross-dataset validations, and anomaly detection across diverse data assets
 - Advanced SQL skills, including data modeling (star/snowflake/3NF), optimization, and writing performant queries tailored to BigQuery’s slot-based execution model
 - Solid working knowledge of DBT, including incremental models, testing, documentation, and advanced features like custom macros
 - Demonstrated ability to optimize BigQuery workloads through partitioning, clustering, materialized views, and cost-aware development practices
 - Experience working with ETL orchestration tools, ideally Cloud Composer or similar frameworks (Kestra, Dagster, etc.).
 - Hands-on experience consuming and managing APIs for data extraction.
 - Exposure to Site Reliability Engineering (SRE) best practices, including ticket triage, incident management, and documenting runbooks/SOPs
 - Familiar with Git and modern software development workflows, including pull requests and code reviews
 - Comfortable working in an agile team environment, with the ability to multitask and reprioritize based on changing project needs
 - English speaking and writing B2+, with the ability to engage technical and non-technical stakeholders alike
 

Job Responsibilities

 - Designing, building, and maintaining scalable, reliable data pipelines using Python,SQL, DBT, and Google Cloud Platform (GCP) services like BigQuery and Cloud Composer.
 - Contributing to the development and evolution of our data quality framework, ensuring robust automated testing and cross-dataset validation across all critical data assets
 - Writing and optimizing advanced SQL to power data models, analytics, and reporting pipelines, with a focus on performance and efficiency within BigQuery
 - Developing and maintaining DBT models, including testing, documentation, incremental loading strategies, and the creation of reusable macros
 - Supporting day-to-day incident and ticket resolution, including root cause analysis and documentation of runbooks/SOPs to drive platform reliability
 - Working with APIs and external data sources to extract, normalize, and integrate new datasets into the platform
 - Participating in agile ceremonies (stand-ups, retros, planning), contributing to sprint goals and helping support the wider team objectives
 - Actively contributing to code reviews, documentation, and peer learning - helping to raise engineering standards and share knowledge within the team
 - Monitoring system health and pipeline performance using GCP-native tools and dashboards, and proactively identifying opportunities for cost or performance optimization

Bachelor's or Master's degree in Telecommunications, Software Engineering, Computer Science, or a related field

At least 3 years of experience in software testing, test automation, administration, or another IT-related field

Proficient understanding of various software testing methodologies and techniques

Experience in creating and maintaining testing documentation

Strong background working with Linux (or other Unix-based) operating systems

Knowledge of computer networks (Ethernet, TCP/IP)

Intermediate spoken and written English skills

Desired skills:

Experience with testing and developing embedded systems

Basic knowledge of one or more programming/scripting languages

Job Responsibilities

• Analyse and diagnose system regression tests to identify issues and improve performance
• Perform daily reporting about product quality to stakeholders
• Participate in the definition of test specifications for embedded systems
• Execute tests according to defined specifications, documenting results and reporting bugs
• Troubleshoot complex software/hardware systems and work with the development team to resolve issues
• Collaborate with cross-functional teams to ensure comprehensive testing and quality assurance of our products.

Department/Project Description

This organization is a prominent entity within the global semiconductor industry, specializing in the design and development of advanced integrated circuits and related technologies. It serves a diverse range of clients across various sectors, including telecommunications, automotive, and consumer electronics, by providing foundational components for next-generation devices. The company is recognized for its innovative contributions to wireless communication and embedded systems, enabling high-performance and energy-efficient solutions. Its market role involves driving technological advancements that underpin critical digital infrastructure and smart applications worldwide. The focus remains on delivering robust and scalable semiconductor products that meet evolving industry demands.

Project: 

The client is one of the world’s leading providers of elevators, escalators, and moving walkways, as well as maintenance and modernization services. The group operates in over 100 countries and has production sites and research and development facilities in the US, Brazil, Europe, China, and India. In other words, we all use their products on a daily basis.

Azure cloud-based platform built on a microservices architecture that processes telemetry data from thousands of connected IoT devices (elevators and escalators) worldwide.

The platform integrates with mobile applications, web portals, and other cloud services to provide real-time monitoring, diagnostics, and digital services.

Requirements:

• Strong knowledge of Python and experience in backend test automation (2+ years)
• Experience with Pytest framework and test architecture design
• Hands-on experience with REST API testing and automation
• Experience testing microservices-based architectures
• Experience with Azure cloud services or other cloud platforms
• Understanding of CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.)
• Experience with API contract validation (OpenAPI / Swagger)
• Experience with database testing (SQL / data validation)
• Experience with Allure reporting or similar test reporting tools
• Experience in QA documentation (Test Plan, Test Strategy, Test Cases, Test Reports, Metrics)
• Strong understanding of SDLC and testing methodologies
• At least Intermediate English

Nice to have:

• Experience testing cloud-native applications
• Experience with IoT systems or device communication
• Experience with performance or load testing
• Experience with UI testing (Selenium / Playwright)
• Experience with contract testing or service virtualization

Responsibilities:

• Contribute to the development and improvement of the automated backend testing platform
• Design, develop, and maintain automated tests for microservices and REST APIs
• Execute automated tests across multiple environments and regions
• Analyze test results, identify issues, and collaborate with developers to resolve them
• Develop emulator models simulating elevators and escalators for automated test verification
• Participate in test strategy definition and test architecture improvements
• Perform release verification and regression testing across multiple environments
• Analyze system behavior using logs, monitoring tools, and telemetry data
• Collaborate closely with Architects, Developers, DevOps engineers, Product Owners, and QA engineers
• Take ownership of quality validation for backend services and APIs

Job Description

• Education & experience: Bachelor of Science in Computer Science, Systems Engineering, or a related field, >4 yrs experience in developing software with a strong understanding of building reliable, production-quality code and following rigorous software development practices.
• Programming Languages & Data: High proficiency in Python for backend automation, REST APIs, CLI and system scripting, alongside experience with SQL databases.
• Test Frameworks: Fluent with pytest framework, optionally testing UI especially with Cypress framework. Working knowledge of continuous integration tools such as Jenkins, GitHubActions and git
• Soft Skills: Be a good team player that enjoys collaborating and solving problems with others.
   

Job Responsibilities

Job Responsibilities
Design, develop, and maintain automated test suites for fleet hypervisor upgrade services, APIs, and CLI tools using Pytest and Python framework.
Build and scale continuous integration/continuous deployment (CI/CD) pipelines in Jenkins for continuous testing of infrastructure components.
Automate functional, integration, regression, and performance testing on VM lifecycle automation, KVM stack, and state management workflows.
Collaborate with development and operations teams to identify, reproduce, and resolve software defects early in the maintenance deployment cycle.
Have basic working knowledge of relational databases, like MySQL, PostgreSQL
Have working knowledge of continuous integration tools such as Jenkins, Github Actions or GitLab

Department/Project Description

We are seeking a Software Engineer in Test to join our Fleet Operations Team. The team ensures uninterrupted service reliability and system health during major software platform maintenance cycles. You will be responsible for tooling to automate tests for new features, improving test automation harnesses and improving existing continuous integration pipelines.

Must have:

• Strong hands-on experience with AWS cloud platform, including services such as ECS (Fargate), Lambda, API Gateway, DynamoDB, ElastiCache,
• OpenSearch, VPC networking, and AWS Security Hub
• Deep experience with Infrastructure as Code using Terraform, including designing reusable modules and managing multi-environment, multi-region infrastructure
• Strong experience designing and maintaining CI/CD pipelines (GitLab CI)
• Experience implementing automation-driven infrastructure and deployment processes
• Experience implementing GitOps or automated infrastructure lifecycle management
• Strong knowledge of Git workflows and collaborative development practices
• Experience implementing security and compliance controls in cloud infrastructure and CI/CD pipelines
• Ability to design secure, scalable cloud infrastructure platforms with security embedded by default

Nice to have:

• Strong scripting and automation skills using Python / PowerShell / Bash
• Experience with Datadog monitoring and observability platform
• Experience working with multi-account AWS environments
• Knowledge of Linux and Windows environments
• Experience integrating cloud security tooling (Orca Security or similar)
• Experience designing cloud governance frameworks, guardrails, and security policies
• Experience designing infrastructure governance and guardrails
• AWS or Terraform certifications

Job Responsibilities

• Platform Engineering
• Design and develop automation frameworks for provisioning, deploying, and managing cloud infrastructure
• Build and maintain reusable Terraform modules and shared infrastructure components
• Ensure infrastructure modules and automation frameworks include security controls, secure defaults, and compliance guardrails
• Develop, improve and standardize CI/CD pipelines and deployment automation across services and environments
• Develop self-service infrastructure capabilities that allow engineering teams to provision environments and services through automation
• Identify and eliminate manual operational processes through automation and platform capabilities
• Developer Enablement
• Work closely with development teams to improve deployment workflows and development lifecycle efficiency
• Enable teams through automation, tooling, and self-service infrastructure capabilities
• Platform Reliability & Observability
• Improve platform monitoring, observability, and operational visibility using tools such as Datadog
• Ensure security and reliability best practices are integrated into infrastructure and deployment automation

Department/Project Description

Department/Project Description
GL Healthcare Division Program is looking for a DevOps Engineer to join the Reliability Engineering team responsible for the mission-critical medical data processing systems infrastructure development and operation.

We have a trusted relationship with the Client, a multinational MedTech corporation with which we have been cooperating for over 20 years.

Description

Join GlobalLogic’s Presales Team within the Healthcare Business Unit, supporting clients across the EMEA region. This strategic role focuses on engaging new clients, solving real-world healthcare challenges, and launching data-driven AI/ML projects. You will work closely with clients and internal stakeholders to translate complex business needs into impactful solutions. If you’re passionate about applying data science in a meaningful domain and want to shape the future of healthcare, we’d love to hear from you.

Requirements

• Bachelor’s or Master’s degree in Software Engineering, Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• 5+ years of experience in Senior Engineer or Lead Engineer or Tech Lead roles, ideally with exposure to healthcare projects.
• Good expertise and skills using Claude/Codex or equivalent AI tools to do research, planning, software development and testing.
• Proficiency in Python and/or any other programming language (C/C++, JAVA, C#, etc)
• Strong communication and visualization skills for storytelling with data.
• Familiarity with cloud environments (Azure, AWS, or GCP) and their native services.
• Experience with LLM and GenAI constraints and limitations and how to overcome those.
• English proficiency at Advanced level.
• Good presentation and demonstration skills

Preferred Qualifications (Nice to Have)

• Experience working with medical data (EHR, imaging, wearables, clinical trials, etc.).
• Familiarity with healthcare regulations related to data and AI (e.g., HIPAA, GDPR, FDA AI/ML guidelines).
• Knowledge of FHIR, HL7, or other healthcare interoperability standards.
• Involvement in presales, proposal writing, or technical advisory work.
• Experience working with data ingestion and data processing frameworks
• Understanding of MLOps/AIOps concepts and tools.

Job responsibilities

• Lead the design and development of solutions across HealthTech and MedTech projects.
• Be comfortable with ambiguity, onsite/embedded work, have willingness to travel and work directly at the customer’s environment, building solutions under a hard deadline with incomplete requirements.
• Participate in technical presales by analyzing business cases and identifying opportunities for AI/ML application.
• Lead Discovery and/or Advisory projects, understand cusmoter’s needs, collect inputs and painpoints from the customer and create working SW prototypes within limited time to demonstrate feasibility & value.
• Collaborate with software engineers, cloud architects, and QA to further develop prototypes into scalable production systems.
• Contribute to the development of GlobalLogic’s healthcare-focused AI accelerators and reusable components.
• Present technical solutions to clients, both business and technical audiences.
• Ensure adherence to privacy, security, and compliance standards for data and AI usage.
• Author clear documentation and contribute to knowledge sharing within the team.

Working hours - 14:00/15:00-22:00/23:00 Kyiv time.

Job Description

- Strong experience with Microsoft Azure Cloud services.
- Hands-on expertise in Azure DevOps, CI/CD pipelines, and release management.
- Experience with AEM deployment and environment management.
- Experience supporting Java applications and microservices.
- Knowledge of Terraform, ARM Templates, or Infrastructure as Code (IaC).
- Experience with Docker, Kubernetes (AKS preferred), Git, and scripting (PowerShell/Bash).
- Exposure to monitoring tools such as Azure Monitor, Application Insights, or Splunk.

Job Responsibilities

- Manage and support Azure cloud infrastructure and services.
- Design, build, and maintain CI/CD pipelines using Azure DevOps.
- Deploy, monitor, and support Java-based applications and services.
- Manage AEM deployments across Dev, SIT, UAT, and Production environments.
- Automate infrastructure provisioning and deployment processes.
- Monitor application and infrastructure performance, troubleshoot issues, and provide production support.
- Collaborate with development, QA, and infrastructure teams to ensure smooth releases.
- Implement security, backup, and disaster recovery best practices.

Department/Project Description

Customer is one of the world's leading healthcare organizations, operating across 170+ countries with a strong focus on diabetes, obesity, and rare disease care. We are in managed service contract for 55+ AEM websites.