GlobalLogic

Job Description
Extensive software development experience, including experience working on complex backend or data infrastructure projects.
Strong hands-on experience with Apache Iceberg .

Experience with Scala.

Hands-on experience developing backend services, data-processing engines, infrastructure components.
Programming experience in C /or C++ is highly desirable / preferred, the role is primarily focused on backend/system-level engineering rather than full-stack application development.
Deep understanding of distributed systems, data processing, storage engines, or data infrastructure.

Strong knowledge of data consistency, transactions, schema evolution, partitioning, compaction, and performance optimization.

Proven ability to troubleshoot complex production and customer issues.

Strong ownership mindset and the ability to operate effectively in areas with limited documentation or historical knowledge.

Excellent communication and collaboration skills.

Preferred Qualifications: 
Big Data Frameworks: Hands-on experience with distributed data-processing technologies such as Apache Spark, Flink, Trino, or Presto.
Cloud Object Storage: Experience working with cloud storage platforms, including Amazon S3, Google Cloud Storage (GCS), or Azure Data Lake Storage (ADLS).
Legacy Modernization: Proven track record of modernizing or gradually improving a mature codebase without disrupting existing customers.
Job Responsibilities
Architect & Build: Lead the architecture, design, and implementation of highly scalable, complex backend systems and robust data infrastructure using Iceberg.
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 Iceberg Engineer to design, optimize, and scale our next-generation multi-cloud data lakehouse architecture across AWS and Azure. The ideal candidate is a backend/system engineer with strong experience building engines, infrastructure, or high-performance backend components. In this role, you will leverage client's Open Lakehouse (integrated with Client's Talend Cloud) to establish a low-overhead, high-throughput data foundation. You will manage automated data ingestion, implement continuous table optimization, handle cross-cloud data mirroring, and ensure seamless multi-engine access without vendor lock-in.
 

Description:

We’re a part of the team that has been developing software to help construction companies streamline their operations. Today, our product is recognized as a pioneer and leader in the market, serving thousands of construction companies across the nation. Year after year, they continue to innovate, refine, and expand their products as the industry evolves. Now we build a cloud platform for planning and optimising resources for the construction, industry, and energy sectors.

We develop software that helps our clients manage every stage of construction from pre-construction through construction to its final support.

Requirements:

• Senior Individual Contributor with 5+ years of software engineering experience.
• Primary Scope: Architecting, building, and maintaining backend systems using Go and PHP, deployed on AWS.
• Database: Strong proficiency in MySQL schema design, complex query optimization, and performance tuning.
• Hands-on experience deploying and managing backend services on AWS
• English: Professional working proficiency (required for clear technical documentation and team syncs).

• Collaboration: Self-driven with strong communication skills and experience operating in agile/scrum environments.

   

Nice-to-Have:

• Experience with Terraform for automated provisioning.
• Working knowledge of React to support full-stack tasks when required.
• French: Conversational or professional working proficiency (strongly preferred for smoother integration with the France-based team).

Job responsibilities:

• Design, develop, and maintain high-performance backend microservices and web applications.
• Collaborate daily with a France-based product and engineering team to estimate and plan the implementation of large features.
• Create new or build upon existing features that solve complex customer problems.

Job Description

6+ years of software development experience with the .NET platform (ASP.NET Core, C#)
Strong experience building and consuming REST APIs (OpenAPI, FluentValidation)
Knowledge of OAuth 2.0 flows is a plus
At least 2+ year of proven experience with Azure Cloud services (Service Bus, Azure Functions, CosmosDB)
Solid understanding of client-server application design and asynchronous programming
Experience with CI/CD pipelines in Azure DevOps or equivalent tools
Knowledge of containerization (Docker, Kubernetes) is a strong plus
Familiarity with low-code/no-code integrations (Power Apps, Power Automate) is desirable
Experience with Azure ML/AI services, document recognition, or data-driven workflows is an advantage
Proficiency in debugging, refactoring, and clean code design
Strong analytical skills with ability to ramp up quickly in new domains
Good written and verbal communication skills in English (Upper-Intermediate+)

Job Responsibilities

Design and implement cloud-native applications leveraging Azure Functions, Service Bus, and CosmosDB
Build and maintain microservices and APIs that integrate with multiple systems, including D365 and data platforms
Collaborate with stakeholders to define and negotiate API contracts and ensure reliable system integrations
Implement data processing and workflow services with a focus on scalability, performance, and resilience
Contribute to the design of low-code solutions integrating Azure ML/AI services for automation (e.g., document recognition, intelligent data extraction)
Participate in planning, estimation, and architecture discussions, providing technical guidance
Debug and resolve issues of various complexities across the stack
Work closely with DevOps and QA to ensure CI/CD pipelines, automated testing, and deployment processes are efficient and robust
Follow coding standards and contribute to continuous improvement initiatives within the development team

Department/Project Description

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.

You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.

We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people's lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Job Description

6+ years of software development experience with the .NET platform (ASP.NET Core, C#)
Strong experience building and consuming REST APIs (OpenAPI, FluentValidation)
Knowledge of OAuth 2.0 flows is a plus
At least 2+ year of proven experience with Azure Cloud services (Service Bus, Azure Functions, CosmosDB)
Solid understanding of client-server application design and asynchronous programming
Experience with CI/CD pipelines in Azure DevOps or equivalent tools
Knowledge of containerization (Docker, Kubernetes) is a strong plus
Familiarity with low-code/no-code integrations (Power Apps, Power Automate) is desirable
Experience with Azure ML/AI services, document recognition, or data-driven workflows is an advantage
Proficiency in debugging, refactoring, and clean code design
Strong analytical skills with ability to ramp up quickly in new domains
Good written and verbal communication skills in English (Upper-Intermediate+)

Job Responsibilities

Design and implement cloud-native applications leveraging Azure Functions, Service Bus, and CosmosDB
Build and maintain microservices and APIs that integrate with multiple systems, including D365 and data platforms
Collaborate with stakeholders to define and negotiate API contracts and ensure reliable system integrations
Implement data processing and workflow services with a focus on scalability, performance, and resilience
Contribute to the design of low-code solutions integrating Azure ML/AI services for automation (e.g., document recognition, intelligent data extraction)
Participate in planning, estimation, and architecture discussions, providing technical guidance
Debug and resolve issues of various complexities across the stack
Work closely with DevOps and QA to ensure CI/CD pipelines, automated testing, and deployment processes are efficient and robust
Follow coding standards and contribute to continuous improvement initiatives within the development team

Department/Project Description

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.

You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.

We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people's lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Skill Category

.NET

Job Description

6+ years of software development experience with the .NET platform (ASP.NET Core, C#)
Strong experience building and consuming REST APIs (OpenAPI, FluentValidation)
Knowledge of OAuth 2.0 flows is a plus
At least 2+ years of proven experience with Azure Cloud services (Service Bus, Azure Functions, Cosmos DB)
Solid understanding of client-server application design and asynchronous programming
Experience with CI/CD pipelines in Azure DevOps or equivalent tools
Knowledge of containerization (Docker, Kubernetes) is a strong plus
Familiarity with low-code/no-code integrations (Power Apps, Power Automate) is desirable
Experience with Azure ML/AI services, document recognition, or data-driven workflows is an advantage
Proficiency in debugging, refactoring, and clean code design
Strong analytical skills with ability to ramp up quickly in new domains
Good written and verbal communication skills in English (Upper-Intermediate+)

Job Responsibilities

Design and implement cloud-native applications leveraging Azure Functions, Service Bus, and Cosmos DB
Build and maintain microservices and APIs that integrate with multiple systems, including D365 and data platforms
Collaborate with stakeholders to define and negotiate API contracts and ensure reliable system integrations
Implement data processing and workflow services with a focus on scalability, performance, and resilience
Contribute to the design of low-code solutions integrating Azure ML/AI services for automation (e.g., document recognition, intelligent data extraction)
Participate in planning, estimation, and architecture discussions, providing technical guidance
Debug and resolve issues of various complexities across the stack
Work closely with DevOps and QA to ensure CI/CD pipelines, automated testing, and deployment processes are efficient and robust
Follow coding standards and contribute to continuous improvement initiatives within the development team

Department/Project Description

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.

You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.

We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people's lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Description

The company operates within the financial services sector, providing essential technology solutions that underpin modern financial operations. It specializes in developing robust platforms and applications designed to enhance efficiency and security for a diverse range of financial institutions. These solutions often involve advanced data processing, secure transaction management, and sophisticated analytical tools. The organization plays a crucial role in enabling its clients to navigate complex regulatory landscapes and deliver superior services to their own customers. Its focus is on leveraging cutting-edge technology to drive innovation and stability across the financial ecosystem.

Requirements

• Enterprise Java Development: 3 to 6 years of professional software engineering experience, focusing on building robust backend systems (experience in the financial sector is highly valued).
• Spring Boot & Spring AI: Solid intermediate experience developing and maintaining microservices with Spring Boot. Practical experience utilizing Spring AI to seamlessly connect enterprise Java applications with modern AI models.
• Generative AI & LLM Integration: Hands-on experience developing solutions that leverage Large Language Models (LLMs), with specific practical application of Anthropic Claude models for natural language processing and generation tasks.

• AI Rate Limits & Token Economics: A solid understanding of LLM operational mechanics and cost awareness, including:

  – The ability to develop and handle API workflows within RPM (Requests Per Minute) and TPM (Tokens Per Minute) constraints.

  – Understanding the pricing structures and technical differences between Input, Output, and Cache tokens.

  – Applying best practices to optimize prompts and context to manage latency and operational costs effectively.

•  Engineering Fundamentals: Proven ability to implement and consume RESTful APIs securely and efficiently. Strong practical knowledge of Git version control, including branching strategies and standard collaborative workflows.

Job responsibilities

• Implement robust backend services and APIs using Java and Spring Boot frameworks.
• Develop scalable and efficient solutions for integrating Generative AI and LLM capabilities into existing systems.
• Build and maintain core components of financial applications, ensuring high performance and reliability.
• Enhance existing Java-based microservices to support new features and optimize performance.
• Analyze system requirements and technical specifications to design effective software solutions.
• Develop and integrate RESTful APIs for seamless communication between various system modules.
• Maintain code quality, perform code reviews, and ensure adherence to best practices in software development.
• Troubleshoot and resolve complex technical issues within the Java application stack.
• Contribute to the continuous improvement of development processes and tools, including Git workflows.
• Develop unit and integration tests to ensure the stability and correctness of implemented features.

Project Description

Our customer is an international company with offices in more than 20 countries and headquarters in Tokyo, Japan. It is one of the largest Tier 1 semiconductor and microcontroller vendors for automotive, industrial, home electronics, and other industries worldwide. The Company is cooperating with the world’s biggest car manufacturers, providing them with high-quality, cutting-edge, and comprehensive integrated cockpit and automotive computing platforms.

The team at GlobalLogic is providing a full-cycle R&D service to the customer. The main responsibility is the bring-up of the latest versions of the Android OS on customer-specific hardware, including system requirements analysis, new feature development, bug fixing, system integration, validation, and customer support.

Job Description

• Bachelor’s or Master’s degree in Computer Science or a related field
• Basic understanding of software testing
• Basic knowledge of Linux
• Basic understanding of embedded systems
• Basic programming knowledge in C/C++ or Python
• Understanding of SDLC
• Good analytical and problem-solving skills
• Motivated and willing to learn

• Intermediate spoken and written English

   

Job Responsibilities

• Perform manual testing of embedded software
• Create and execute test cases
• Analyze test results and report defects
• Reproduce and investigate issues
• Analyze logs and basic diagnostic information
• Verify bug fixes and perform regression testing
• Support system and integration testing
• Work closely with developers and QA engineers
• Maintain testing documentation

Job Description

6+ years of software development experience with the .NET platform (ASP.NET Core, C#)
Strong experience building and consuming REST APIs (OpenAPI, FluentValidation)
Knowledge of OAuth 2.0 flows is a plus
At least 2+ year of proven experience with Azure Cloud services (Service Bus, Azure Functions, CosmosDB)
Solid understanding of client-server application design and asynchronous programming
Experience with CI/CD pipelines in Azure DevOps or equivalent tools
Knowledge of containerization (Docker, Kubernetes) is a strong plus
Familiarity with low-code/no-code integrations (Power Apps, Power Automate) is desirable
Experience with Azure ML/AI services, document recognition, or data-driven workflows is an advantage
Proficiency in debugging, refactoring, and clean code design
Strong analytical skills with ability to ramp up quickly in new domains
Good written and verbal communication skills in English (Upper-Intermediate+)

Job Responsibilities

Design and implement cloud-native applications leveraging Azure Functions, Service Bus, and CosmosDB
Build and maintain microservices and APIs that integrate with multiple systems, including D365 and data platforms
Collaborate with stakeholders to define and negotiate API contracts and ensure reliable system integrations
Implement data processing and workflow services with a focus on scalability, performance, and resilience
Contribute to the design of low-code solutions integrating Azure ML/AI services for automation (e.g., document recognition, intelligent data extraction)
Participate in planning, estimation, and architecture discussions, providing technical guidance
Debug and resolve issues of various complexities across the stack
Work closely with DevOps and QA to ensure CI/CD pipelines, automated testing, and deployment processes are efficient and robust
Follow coding standards and contribute to continuous improvement initiatives within the development team

Department/Project Description

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.

You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.

We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people's lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Description

Project Overview
GlobalLogic is partnering with a client, a global leader in in-vitro diagnostics and medical devices, to execute a critical compliance and software remediation initiative. We are building a dedicated team to retrospectively update the Design History File (DHF) for legacy medical device software, ensuring full compliance with modern FDA regulations and IEC 62304 standards.

Position Overview
We are looking for a Senior Software Architect or highly experienced Lead Software Engineer with a strong background in technical documentation and reverse-engineering. In this role, you will lead the remediation of the Software Architecture and Detailed Design documentation for an existing medical device. You will act autonomously to reconstruct system blueprints—mapping out components, interfaces, and data flows—while utilizing the existing development team primarily as Subject Matter Experts (SMEs) and reviewers.

Requirements

Experience: 10+ years of experience in software engineering, with at least 3+ years acting as a Software Architect, Lead Developer, or Systems Designer.

Code Literacy: Exceptional ability to read, navigate, and comprehend large, complex, and legacy codebases (experience with C++, C#, Java, or Embedded C is highly preferred).

Modeling & Diagramming: High proficiency in UML, SysML, or similar modeling languages to visually represent architectures, sequence diagrams, and component relationships using tools like Enterprise Architect, MagicDraw, or Visio.

Technical Writing: Excellent technical writing skills with the ability to translate complex software behaviors into clear, formal, and audit-ready documentation.

Autonomy: Strong ability to work independently, driving the documentation process proactively rather than relying on others to supply the architecture.

Job responsibilities

Architecture Reconstruction: Reverse-engineer and deeply analyze existing legacy software to thoroughly understand its structure, behaviors, and design paradigms.

Documentation Leadership: Lead the creation and remediation of formal Software Architecture and Software Detailed Design documents in alignment with IEC 62304 requirements.

System Mapping: Accurately document software components, internal and external interfaces, complex data flows, state machines, and system dependencies.

Design Rationale: Identify, capture, and document key historical design decisions and their rationales.

SME Collaboration: Conduct targeted technical interviews and code review sessions with the current development team to extract necessary architectural knowledge without disrupting their daily operations.

Regulatory Alignment: Ensure that all architectural documentation supports risk management mitigations (ISO 14971) and integrates seamlessly with the broader DHF remediation effort.

Nice to Have:

– Familiarity with in-vitro diagnostic (IVD) systems or embedded hardware-software interfaces.

Job Description

Key Responsibilities

Architecture & Delivery: Lead the end-to-end design, implementation, and optimization of enterprise Azure cloud solutions, taking full ownership of project outcomes from concept to production.

DevOps & Infrastructure as Code: Build, maintain, and scale automated CI/CD pipelines and infrastructure deployments using Bicep, Azure DevOps, and modern git-based workflows.

Technical Leadership & Mentoring: Act as a principal-level engineering guide, delegating technical tasks to junior team members, conducting thorough code reviews, and fostering engineering best practices.

Compliance & SDLC Execution: Design and enforce secure software development lifecycles (SDLC) tailored to the stringent security, governance, and audit requirements of a professional services environment.

Stakeholder & Cross-Time-Zone Collaboration: Work directly with senior stakeholders and technical counterparts across EMEA and US Eastern time zones, translating business requirements into robust architectural designs.

Job Responsibilities

Infrastructure as Code: Extensive, hands-on experience using Bicep for provisioning and managing Azure infrastructure.

Domain Experience: Proven track record working within professional services, financial institutions, banking, or similarly regulated environments with strict governance and SDLC standards.

Seniority & Autonomy: Demonstrated background operating as a Principal/Lead Engineer with a proven ability to work independently, manage delivery risks, and drive technical decision-making.

Communication: Great written and verbal English communication skills, with the ability to convey complex architecture concepts to non-technical stakeholders.

Time Zone Flexibility: Based in the EMEA region, with willingness to adjust working hours to support key project partners in the US Eastern Time zone.

Nice to have:

Certifications: Microsoft Certified: Azure Solutions Architect Expert AND Microsoft Certified: DevOps Engineer Expert.

Department/Project Description

We are seeking a high-performing Principal Azure Architect & DevOps Engineer to lead the architecture, automation, and delivery of cloud solutions for one of the world's leading networks of independent assurance, tax and advisory firms.

Description

A program of projects within the Energy domain. We will work on various applications covering generation control, distribution control, transmission control, and service crews control. The implementation area of these products is very high-scale (e.g. country-wide systems).

Requirements

7+ years in DevOps/infrastructure roles
• Expert familiarity with Microsoft Azure Tech stack
• Experience with CI/CD tooling (GitHub Actions, Jenkins, Azure DevOps, etc.)
• Experience with cloud infrastructure
• Familiarity with secrets/token management for third-party API integrations
• Experience supporting regulated or access-controlled environments
Good written and spoken communication skills in English

Job responsibilities

– Own the deployment, hosting, and operational reliability of the platform, including its integration touchpoints with
downstream systems and identity providers.
– Set up and maintain CI/CD pipelines for the platform build
– Manage deployment/hosting infrastructure for the platform
– Support secure integration between the platform, downstream systems of record, and identity providers
– Implement monitoring/alerting for API integrations (system sync, document ingestion pipelines)
– Manage environment/access-token handling securely across integrated systems
– Support staged rollout and UAT environments during the hardening phase
– Ensure infrastructure supports data governance requirements (no customer data leaving approved boundaries)

The Lead IAM Engineer (Tech Lead) is a key technical specialist responsible for driving the deployment and upgrade of the target Bravura Identity environment. This role requires deep Identity and Access Management (IAM) expertise to ensure a seamless transition to the new platform without disrupting the client's business operations. The engineer will collaborate closely with the Delivery Lead, Security Architect, and the rest of the engineering squad.

• Deep expertise in Identity and Access Management (IAM) systems, with direct experience configuring and upgrading Bravura Identity.
• Strong technical background in integrating and provisioning to Active Directory (AD) and Microsoft Exchange.
• Familiarity with enterprise authentication and integration protocols, including LDAP, APIs, SCIM, and Microsoft Entra ID.
• Proven experience acting as a Technical Lead in planning and executing rehearsed production cutovers and rollback strategies.
• Solid understanding of underlying infrastructure components (e.g., SQL Server, Windows environments) relevant to IAM platform upgrades.
• Experience and strong knowledge of Identity Governance and Identity Lifecycle Management

Job Responsibilities

• Lead the core upgrade build process and cutover support.
• Ensure the continuity of automated provisioning to Active Directory and Exchange during and after the migration.
• Provide technical support during the production cutover and hypercare phases.
• Ensure the existing architecture and operating model remain intact throughout the implementation of changes

Department/Project Description

The project involves upgrading the Bravura Identity platform to a supported version ahead of its End of Support for a major banking and financial institution. This is a "like-for-like" upgrade that preserves the current architecture and operating model. 

Skill Category

Engineering - Other

Keyskills - Must Have

• IAM
• Active Directory

About the role
We are looking for a Lead AI Engineer to own the technical direction, design, and long-term health of the agentic AI solutions that accelerate our software development lifecycle. This is a hands-on leadership role: you will architect and build LLM-powered agents and internal AI tools, then scale them reliably and cost-effectively across an engineering organization of hundreds of people. Beyond delivery, you set the technical standard. You proactively identify gaps, challenge and improve existing solutions, guide other engineers and AI champions, and advise on build/reuse/buy and architecture decisions that keep our AI capability robust as it grows. You are the senior technical voice peers turn to - and someone who listens as carefully as they lead.

What you’ll bring

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Machine Learning, or a related field , or equivalent practical experience
• 6-8+ years of progressive software engineering experience, with a strong track record of designing, developing, and deploying scalable solutions in an enterprise environment
• 2+ years of hands-on experience building agentic AI and/or LLM-based applications in production with Python
• Strong computer science fundamentals: data structures, algorithms, system design, major cloud platforms, and distributed systems - able to design and implement efficient solutions with ease
• Proven experience with agent frameworks such as LangGraph / LangChain (or equivalents like LlamaIndex, AutoGen,n or the OpenAI Agents SDK)
• Knowledge of enterprise SDLC tooling and ecosystems (e. g., GitHub Copilot, Claude Code)
• Demonstrated success building and deploying agentic AI SDLC use cases for internal use: requirements engineering, development, testing, DevOps, and similar
• The maturity and communication skills to lead technically, influence without authority, and align diverse stakeholders around the best solution

Nice to have

• Experience standing up an internal AI platform, skill marketplace, or shared tooling used by many engineering teams
• Cost-optimization experience: model routing, prompt caching, and token-usage management at scale
• Experience defining security, permissions, and governance models (risk tiers) for AI agents
• Familiarity with self-hosted / open-weight models and fine-tuning where appropriate. Experience mentoring or enabling a community of practice or champions network

Job Responsibilities

Technical leadership & strategy

• Set the engineering standards, patterns, and guardrails for how agents are designed, built, evaluated, and operated.
• Influence architectural discussions and make well-reasoned trade-off decisions across scalability, modularity, cost, and performance. nce
• Design and build intelligent agents that plan, reason, and take action using LLMs
• Implement RAG pipelines, long-term memory, action orchestration, and multi-agent collaboration.n
• Deliver agentic use cases across the full SDLC: requirements engineering, development, testing, and DevOps.
• Work on complex integrations that connect APIs, models, databases, and services for (near) real-time, agent-driven workflows

Scale, governance,e and collaboration

• Optimize models and infrastructure for efficiency and cost-effectiveness (e. g., model routing, prompt caching, token budgets)
• Maintain the internal AI tools - treat them as long-lived internal products
• Establish observability, monitoring, and evaluation for agent operations and system interactions. ions
• Define and enforce guardrails, permissions, and risk controls for what agents can and cannot ot do.
• Troubleshoot and resolve complex technical issues affecting platform operations and performance
• Work closely with engineers, domain experts, and AI champions across teams; listen to their needs and translate them into practical solutions.
• Mentor and grow the technical capability of others so adoption becomes self-sustaining.

Department/Project Description

Broadband team works on 2nd generations of Harmonic (NASDAQ: HLIT) Cable Access products: actively developing the industry’s first software-based CCAP solution (“Cable OS”) and cloud native CMTS.

These solutions allow to cable operator companies to deliver the IP-based data, video, and voice services to millions of customers. Focus is given to CableOS, which will allow getting rid of the existing HW equipment and migrating to the cloud, saving customers the enormous expenses for the support of HW network equipment.

The system is based on microservice architecture and is running on general-purpose CPUs. It doesn’t require using ASICs and make possible to run the SW both on bare-metal servers as well as on the private cloud infrastructure. CableOS is a pioneer in DOCSIS software-defined networking (SDN) with all the benefits it gives to the service providers.

GlobalLogic team is involved in development, manual and automated testing, as well as in solution integration at customers’ headends and further technical support 24/7, providing professional services for Customers.

To learn more, please visit.

HTTPS://WWW.HARMONICINC.COM/BROADBAND/
HTTPS://WWW.GLOBALLOGIC.COM/UA/HARMONIC-AND-GLOBALLOGIC/

Job Description

Preferred qualifications & skills:

• Education & experience: Bachelor of Science in Computer Science, Engineering, or a related field, plus extensive commercial experience in cloud orchestration.
• Core Languages: Strong proficiency in Go and Perl (Perl is the primary language for our codebase).
• Virtualization & OS: Deep knowledge of Linux OS internals, QEMU orchestration, and CPU flag management.
• Architecture: Understanding of ARM architecture, memory unified models, and CPU-to-CPU inter-process communications.

Nice to have skills:

• Familiarity with Python for control plane operations.
• Previous experience dealing with NUMA allocation logic.

Job Responsibilities

• Port and upgrade existing x86 orchestration codebases (primarily Go and Perl) to ensure full compatibility with the new ARM architecture.
• Manage and update QEMU flag configurations and networking feature support tailored for the ARM based platform.
• Evaluate and tune NUMA memory allocation logic in Python to maximize performance for the multi-core, multi-processor hardware.
• Perform initial code analysis to identify and refactor architecture specific implementation

Department/Project Description

We are seeking a Senior Software Engineer to join our Core Compute team, managing the application and orchestration layers that allow virtual machines to run seamlessly for our customers across the cloud ecosystem. We are embarking on a strategic project to integrate a new ARM-based multi-core multi-processor into our infrastructure. This initiative involves porting our orchestration stack from x86 to ARM, updating QEMU configurations, and optimizing NUMA memory allocation logic to prepare the platform for future integrations.

Skill Category

Engineering - Other

Keyskills - Must Have

• Linux
• KVM/QEMU
• GOlang Programming language
• Perl

Keyskills - Nice to Have

• Virtualization
• ARM

Description

We are looking for a Middle/Senior Automation Test Engineer to join a team developing and testing an advanced healthcare medical device that combines embedded hardware, software, and user-facing applications.

The project involves a complex hardware-software system used in a regulated medical environment. The main focus of this role is developing and maintaining automated tests using a custom Python-based test automation framework, as well as supporting system and integration testing of the device.

Requirements

• 5+ years of experience in Software Testing / QA
• Strong hands-on experience with Python
• Solid experience in test automation
• Experience creating and maintaining automated test suites
• Good understanding of software testing methodologies and test design techniques
• Experience with system and/or integration testing
• Experience testing systems that interact with hardware
• Good debugging and troubleshooting skills
• Experience working with Git and defect tracking systems
• Ability to understand technical requirements and system behavior
• Good English communication skills

Job responsibilities

• Design, develop, and maintain automated tests using a custom Python automation framework
• Analyze system and software requirements and translate them into automated test scenarios
• Perform system, integration, and functional testing of a medical device
• Work with real hardware, devices under test, simulators, and supporting test equipment
• Investigate test failures, analyze logs, and support root cause analysis
• Maintain and improve the existing automation framework and test infrastructure
• Review test results and report defects with clear technical analysis
• Collaborate closely with software developers, system engineers, and other QA engineers
• Participate in test planning, estimation, and technical discussions
• Contribute to improving test coverage, reliability, and overall test automation efficiency
• Support CI/CD and automated test execution where applicable