GlobalLogic

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• +5 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
• Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
• Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
• Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
• Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting tailored solutions, and demonstrating the potential impact of our ML technologies.

• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

   

Preferred Qualifications:

• Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
• Certifications or advanced training in machine learning, cloud architectures, or similar fields.
• Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.

Job Responsibilities:

• Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
• Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
• Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
• Build and optimized RAG and vectorized databases
• Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
• Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
• Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.
• Implement security measures to protect sensitive information processed by chatbots

What we offer:

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

We are seeking a Senior ML to join our AI & Data project. In this role, you will combine high-end machine learning engineering with a revolutionary approach to software delivery. You will not just build AI; you will build AI using AI, orchestrating agentic workflows to deliver complex solutions at a velocity traditional teams cannot match.

You will focus on building practical, production-ready solutions that bridge the gap between unstructured data and structured logic using LLMs, agentic workflows, and knowledge representations (ontologies, knowledge graphs). You are expected to be an "AI-Native" pioneer, utilizing tools like Claude Code, Cursor, Antigravity, and custom MCP servers to automate your own development lifecycle - from data exploration and model evaluation to code generation and documentation.

Requirements:

• 4+ years of professional experience in machine learning, data science, or AI engineering.
• Software development background 
• Strong proficiency in Python and the modern ML/AI ecosystem (e.g., PyTorch, Hugging Face, LangChain/LangGraph, Scikit-learn).
• Hands-on experience with data ingestion, RAG pipeline optimization, model evaluation, deployment (MLOps), and monitoring.
• Deep understanding of generative AI (LLMs, embeddings, RAG, prompt engineering, and agentic reasoning) and its practical constraints (latency, cost, safety, hallucinations).
• Experience turning complex business needs into "machine-ready" technical specifications and acceptance criteria.
• Strong experience with major cloud platforms; hands-on Azure knowledge (Azure AI Search, Azure OpenAI) is highly desirable.
• Evidence of using modern GenAI tools (Claude Code, GitHub Copilot, etc.) to significantly accelerate your development and testing process.
• Good English to work in a multinational team

Responsibilities: 

• Work with stakeholders to translate domain-specific knowledge into "Spec-Driven" ML architectures and agentic workflows.
• Design and implement solutions that combine the reasoning power of LLMs with the precision of structured knowledge (ontologies/knowledge graphs).
• Pilot the Claude Code CLI and other agentic tools to generate code, run automated tests, and maintain "Context Hygiene" within the project repository.
• Apply structured 4-phase debugging to ML pipelines, focusing on root-cause analysis of hallucinations, retrieval failures, and data drift.
• Define and automate "Skills" (prompt libraries, evaluation scripts, and deployment templates) to be re-used across multiple AI-Native pods.
• Define and implement quality gates, safety metrics, and cost-control practices for GenAI components.
• Lead by example in adopting AI-Native practices, mentoring the AI Apprentice and other team members in the "People + Agents" delivery model.
• Strong problem-solving and follow-up skills; must be proactive and take initiative
• Work independently on development tasks with a minimal amount of supervision

What is in for You: 

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

The client 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 client 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.

The project aims to provide well-prepared and formatted analytic data for the customer.

Requirements

• 6+ years of backend engineering
• Strong REST API architecture experience
• Redis
• Distributed systems
• Multi-tenant security models
• API normalization / DTO patterns
• Experience in Azure cloud environments
• Production-grade logging & monitoring experience

Job responsibilities

Own backend architecture and delivery of an enterprise-grade LLM-powered chatbot integrated with APIs. Lead secure middleware design, orchestration runtime implementation, and multi-tenant data isolation.

Architecture & Design

• Design and own Tool Execution Layer (secure middleware wrapper)
• Implement and govern Agent Orchestrator (Java-based)
• Define DTO normalization and API abstraction strategy
• Design multi-tenant context filtering and data isolation logic

Lead development of:

• API connectors
• Redis-based session management
• Audit logging integration
• Error handling, retry and resilience patterns
• Define performance hardening strategy

Governance & Security

• Enforce context-aware authorization logic
• Ensure no cross-client data exposure
• Support Azure Application Insights & Sentinel integration
• Conduct backend code reviews & quality control

Leadership

• Technical ownership of backend scope
• Estimation & risk management
• Cross-team alignment (AI/ML, FE, DevOps, QA)

Project Description

Aetion is a healthcare technology company that provides real-world evidence (RWE) solutions and analytics software to biopharmaceutical companies, payers, and regulatory agencies.

Job Description

Must-Have

Candidates must be able to demonstrate real, hands-on CLI experience in the following areas:

AWS Infrastructure
- Working via CLI with core AWS services
- Solid understanding of networking, storage, IAM, and common AWS components

Kubernetes
- Accessing, managing, and troubleshooting Kubernetes clusters using CLI tools (kubectl, contexts, basic cluster operations)

Python
- Practical coding experience
- Ability to read, understand, and modify existing Python code (not scripting-only or theoretical knowledge)

Required Technologies & Skills
- Cloud: AWS (EC2, VPC, IAM, S3, Transit Gateway, SSM, CloudWatch, Route53)
- IaC: Terraform (modules, state, providers), Packer
- OS & Networking: Windows environments, WSL, VPN technologies (OpenVPN, GlobalProtect)
- CI/CD: GitHub Actions (workflows, runners, OIDC)
- Strong ownership mindset and ability to work independently

Job Responsibilities

Infrastructure Stabilization & Migration
- Troubleshoot and repair Image Builder / Packer pipelines to ensure secure and reliable base image generation
- Manage patching for isolated Windows environments
- Execute final migration steps from OpenVPN to GlobalProtect, including troubleshooting edge cases involving WSL and DNS

Infrastructure as Code
- Manage, refactor, and modernize a complex Terraform codebase migrated from CloudFormation
- Improve state management, modularization, and long-term maintainability
- Safely import and standardize legacy resources

Platform & Environment Ownership
- Operate confidently in legacy systems with incomplete documentation
- Make technical decisions that prioritize security, stability, and delivery

The client is a luxury skincare and beauty group. The client is based in San Francisco and sells luxury skincare products worldwide.

Its main IT “product” is its e-commerce website, which functions as a digital platform to sell products, educate customers, and personalize experiences.

• Runs on Salesforce Commerce Cloud (formerly Demandware) — an enterprise e-commerce platform that supports online shopping, order processing, customer accounts, and product catalogs.
• Hosted on cloud infrastructure (e.g., AWS, Cloudflare) for reliable performance and security
  Uses HTTPS/SSL encryption to secure data transfers.
• Integrated marketing and analytics technologies such as Klaviyo (email & SMS automation), Google Tag Manager, and personalization tools to track behavior, optimize campaigns, and increase conversions

It’s both a shopping platform and a digital touchpoint for customers worldwide.

Requirements

• 4+ years of experience as a Data Engineer, Analytics Engineer, or in a similar data-focused role.
• Strong SQL skills for complex data transformations and analytics-ready datasets.
• Hands-on experience with Python for data pipelines, automation, and data processing.
• Experience working with cloud-based data platforms (AWS preferred).
• Solid understanding of data warehousing concepts (fact/dimension modeling, star schemas).
• Experience building and maintaining ETL/ELT pipelines from multiple data sources.
• Familiarity with data quality, monitoring, and validation practices.
• Experience handling customer, transactional, and behavioral data in a digital or e-commerce environment.
• Ability to work with cross-functional stakeholders (Marketing, Product, Analytics, Engineering).

Nice to have:

• Experience with Snowflake, Redshift, or BigQuery.
• Experience with dbt or similar data transformation frameworks.
• Familiarity with Airflow or other orchestration tools.
• Experience with marketing and CRM data (e.g. Klaviyo, GA4, attribution tools).
• Exposure to A/B testing and experimentation data.
• Understanding of privacy and compliance (GDPR, CCPA).
• Experience in consumer, retail, or luxury brands.
• Knowledge of event tracking and analytics instrumentation.
• Ability to travel + visa to the USA

Job responsibilities

• Design, build, and maintain scalable data pipelines ingesting data from multiple sources:
  e-commerce platform (e.g. Salesforce Commerce Cloud), CRM/marketing tools (Klaviyo), web analytics, fulfillment and logistics systems.
• Ensure reliable, near-real-time data ingestion for customer behavior, orders, inventory, and marketing performance.
• Develop and optimize ETL/ELT workflows using cloud-native tools.
• Model and maintain customer, order, product, and session-level datasets to support analytics and personalization use cases.
• Enable 360° customer view by unifying data from website interactions, email/SMS campaigns, purchases, and returns.
• Support data needs for personalization tools (e.g. product recommendation quizzes, ritual finders).
• Build datasets that power marketing attribution, funnel analysis, cohort analysis, and LTV calculations.
• Enable data access for growth, marketing, and CRM teams to optimize campaign targeting and personalization
• Ensure accurate tracking and validation of events, conversions, and user journeys across channels.
• Work closely with Product, E-commerce, Marketing, Operations, and Engineering teams to translate business needs into data solutions.
• Support experimentation initiatives (A/B testing, new digital experiences, virtual stores).
• Act as a data partner in decision-making for growth, CX, and operational efficiency.
• Build and manage data solutions on cloud infrastructure (e.g. AWS).
• Optimize storage and compute costs while maintaining performance and scalability.

Facility Management technology platform, including integrated SaaS software and mobile apps serving facility management, maintenance management, service dispatch, and field service management organizations of all sizes. The platform delivers real-time visibility into and control of the quality and cost of building and field service operations.
 

Requirements:

• Providing vision and direction to the Agile development team and stakeholders throughout the project and create requirements
• Ensure that the team always has an adequate amount of prior prepared tasks to work on
• Plan and prioritize product feature backlog and development for the product
• Define product vision, roadmap and growth opportunities
• Assess value, develop cases, and prioritize stories, epics and themes to ensure work focuses on those with maximum value that are aligned with product strategy
• Provide backlog management, iteration planning, and elaboration of the user stories
• Work closely with Product Management to create and maintain a product backlog according to business value
• Lead the planning product release plans and set expectation for delivery of new functionalities
• Provide an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals
• Research and analyze market, the users, and the roadmap for the product

Job responsibilities:

• Proven experience working in an Agile environment (Scrum/Kanban) as a Product Owner, Product Manager, or similar role
• Strong ability to define product vision, strategy, and roadmap, and translate them into clear, actionable requirements
• Hands-on experience with product backlog management: prioritization, refinement, iteration planning, and user story elaboration
• Solid understanding of value-driven delivery: ability to define business value, prioritize features, and align work with product strategy
• Experience creating and managing user stories, epics, themes, and acceptance criteria
• Strong collaboration skills with cross-functional teams, including Product Management, Engineering, and Stakeholders
• Ability to plan and coordinate product releases and manage expectations regarding scope, timelines, and delivery outcomes
• Demonstrated capability to identify, mitigate, and resolve impediments impacting Sprint or Release goals
• Analytical mindset with experience in market research, user analysis, and identifying growth opportunities
• Excellent communication skills, with the ability to clearly articulate requirements, priorities, and product direction to both technical and non-technical stakeholders

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.

Requirements

• 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

Job Description

3-4 years of commercial experience as a software engineer
Backend development with Python or Golang
Experience with modern frontend frameworks (Ember.js, React, Vue, Angular)
Knowledge and hands-on experience with DB
Experience with Restful APIs and Microservices
Github Actions and general CI/CD experience
Strong commitment to master Ember.js framework and other required technologies
Upper-intermediate English level
Unit testing experience

Nice to have:

Experience with Amazon Web Services is a plus
Experience with Linux, Docker, Kubernetes
Very good communication skills – work with global distributed team
Strong analytical and problem solving skills, proactive and innovative

Job Responsibilities

• Design, develop, and maintain full-stack web applications
• Implement RESTful APIs and integrate with relational databases
• Participate in the analysis, diagnosis and troubleshooting issues and defects
• Collaborate with cross-functional teams to deliver scalable, secure solutions
• Ensure application performance, security, and code quality through best practices and code reviews
• Participate in troubleshooting, debugging, and continuous improvement efforts

Department/Project Description

The groundbreaking model for in-home care and support has given us the inspiration to create our new technology solution. Through a HIPAA-compliant platform that is intuitive and user-friendly we will enhance and empower care and communication between caregivers and their extended care team to improve outcomes and quality of life.

Job Description

• 0+ years of experience in SW testing or customer support in network provider companies
• Understanding and knowledge of computer networks and L2/L3 networking protocols
• Basic hands-on experience with Linux command-line
• Understanding and knowledge of computer networks and L2/L3 networking protocols
• High level of interpersonal skills. Ability to communicate effectively with different groups

• At least Intermediate level of English (writing and speaking)

  Would be a plus:

• Knowledge in DOCSIS / PON (Passive Optical Network)
• Knowledge in CI/CD (Jenkins)
• Data traffic generators (Ixia, iPerf.) and analyzers (Wireshark)
• Script tools/languages (Python, Bash, etc.)
• Hands-on experience with virtualization technologies (Kubernetes, Docker).

Job Responsibilities

• Active collaboration with mentor
• Deep involvement in the commercial project workflow and practical tasks
• Test end-to-end complex embedded systems by analyzing automation test results, which are part of Continuous Integration (CI)
• Maintain test suites (CI) by adding new tests (Python) developed by other teams, and optimizing their structure to increase coverage
• Ramp up and maintain a shared pool of setups dedicated to the CI/CD activities
• Work in agile mode and cooperate with multiple scrum teams

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 to get rid of the existing HW equipment and to migrate 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 the general purpose CPUs. It doesn’t require using ASICs and make possible to run the SW both on the bare metal servers as well as on the private cloud infostructure. 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’ headend and further technical support 24/7 with 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

• 5+ years of experience in native Android development
• Proven experience delivering production-ready Android apps
• Hands-on with Jetpack Compose, MVVM architecture, and Android Jetpack libraries
• Familiarity with REST API integration and dependency injection (Hilt/Dagger)
• Ability to take full ownership of features and their quality
• Optional: experience with wearables, IoT devices, and startup environments

Job Responsibilities

• Develop a greenfield native Android application from design to production
• Collaborate closely with one existing engineer and client team
• Apply modern Android best practices to ensure scalable, maintainable code
• Implement triggers, backend integration, and AI-first features using AI-assisted tools
• Recreate and maintain all automation and scheduled tasks (triggers)
• Ensure high-quality code, test coverage, and performance

Department/Project Description

Product: Smartwatch application for kids

Platform: Native Android

Stage: Greenfield development, designs and requirements already prepared

Team: Client’s internal engineering team + you as lead Android developer

Skill Category

Mobile

Keyskills - Must Have

• Mobile (Android/iOS)
• Kotlin
• Copilot

Job Description

Uses best practices and knowledge of AI/ML methodologies to improve products and services through intelligent automation. Solves complex business problems by designing novel AI agent solutions that combine existing technologies in innovative ways.
 

Job Responsibilities

• 4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
• 4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
• 4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
• 4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications
• Experience working with vector databases, knowledge graphs, and RAG pipeline development
• Advising on best practices for AI agent development and enterprise AI integration processes
• Experience in deploying AI models and agents in multiple environments (dev, staging, production)
• Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks, and reporting them.
   

Department/Project Description

This position will design and build intelligent AI agent systems, LLM-based applications, and autonomous
workflow solutions within the context of our enterprise applications. We are looking for a candidate to provide
expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI
services, and enterprise AI integration. This individual will have broad experience in developing and deploying
agentic AI solutions that can autonomously perform complex business tasks.

Requirements:

• BS degree in Computer Science field or equivalent hands-on experience
• 5+ years of hands-on experience with C#/.NET
• Experience with containerized microservices and serverless architectures.
• Experience with distributed systems and related concepts
• Experience with SQL and NoSQL datastores including but not limited to MSSQL, Postgres, Mongo, MySQL, and Elasticsearch
• Experience with .NET WCF Services, ASP.NET
• Hand-on experience with cloud providers such as AWS
• Experience with Front End Development using ReactJS is a plus
• Focused, dependable, detail-oriented and hands-on – completes tasks quickly and thoroughly

Job Responsibilities

Position Overview

• Design, develop, and maintain software applications using .NET Core and C#
• Collaborate with cross-functional teams to gather requirements, understand business needs, and translate them into technical solutions
• Implement and integrate with relational and NoSQL databases such as PostgreSQL and Mongo
• Leverage AWS primitives like S3, RDS, SQS, Elasticache, etc - to build scalable and reliable applications
• Containerize applications using Docker for consistent deployment across environments
• Write clean, maintainable, and well-documented code following best practices and coding standards
• Participate in code reviews and ensure adherence to quality standards
• Troubleshoot and resolve technical issues, bugs, and performance bottlenecks
• Stay up to date with the latest trends, technologies, and industry best practices

Department/Project Description

Our customer is a global leader in digital media and entertainment services across film, video and online content from capture to consumption.

Since 1915, our customer has been the trusted partner for the world's most successful Hollywood studios, independent film companies, TV networks, exhibitors, advertisers and others, offering best-in-class solutions in production, post production, distribution, asset and workflow management and new digital solution-based technologies.

This position is ideal for individuals who have the drive and desire to ‘create things’. It requires a highly motivated individual with attention to details and a hunger to learn and solve problems.

Job Description

3+ years of experience
Strong knowledge and experience in C++ development
Solid understanding and experience with multithreading
Proficiency in Object-Oriented Programming (OOP)
Experience in programming under Linux or Unix-like systems
Practical experience with STL and Boost.asio

Considered as a significant plus:
- Understanding of networking stack and protocols (OSI model, L1–L4)
- Knowledge of shell scripting and Python
- Experience with Golang
- Experience with Kubernetes (k8s)
 

Job Responsibilities

Design and implementation of network-oriented applications (Linux, userspace)
Emphasis on generic design with careful memory and processing considerations
Design and implement new modules and features, as well as evolve existing ones
Regular communication with the remote team
 

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 to get rid of the existing HW equipment and to migrate 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 the general purpose CPUs. It doesn’t require using ASICs and make possible to run the SW both on the bare metal servers as well as on the private cloud infostructure. 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’ headend and further technical support 24/7 with 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

• Total of 7+ years of development/design experience with a minimum of 5 years of experience in Big Data technologies on-prem or on cloud.
• Experience with architecting, building, implementing, and managing Big Data platforms On Cloud, covering ingestion (Batch and Real-time), processing (Batch and Real-time), Polyglot Storage, Data Analytics, and Data Access
• Good understanding of Data Governance, Data Security, Data Compliance, Data Quality, Meta Data Management, Master Data Management, Data Catalog
• Proven understanding and demonstrable implementation experience of big data platform technologies on cloud (AWS and Azure), including surrounding services like IAM, SSO, Cluster monitoring, Log Analytics, etc.
• Experience working with Enterprise Data Warehouse technologies, Multi-Dimensional Data Modeling, Data Architectures or other work related to the construction of enterprise data assets
• Strong Experience implementing ETL/ELT processes and building data pipelines including workflow management, job scheduling and monitoring
• Experience building stream-processing systems, using solutions such as Apache Spark, Databricks, Kafka etc.
• Experience with Spark/Databricks technology is a must
• Experience with Big Data querying tools
• Solid skills in Python
• Strong experience with data modelling and schema design
• Strong SQL programming background
• Excellent interpersonal and teamwork skills
• Experience to drive solution/enterprise-level architecture, collaborate with other tech leads
• Strong problem solving, troubleshooting and analysis skills
• Experience working in a geographically distributed team
• Experience with leading and mentorship of other team members
• Good knowledge of Agile Scrum
• Good communication skills

Job Responsibilities

• Work directly with the Client teams to understand the requirements/needs and rapidly prototype data and analytics solutions based upon business requirements
• Design, implement, and manage large-scale data platform/applications, including ingestion, processing, storage, data access, data governance capabilities and related infrastructure
• Support design and development of solutions for the deployment of data analytics notebooks, tools, dashboards and reports to various stakeholders
• Communication with Product/DevOps/Development/QA team
• Architect data pipelines and ETL/ELT processes to connect with various data sources
• Design and maintain enterprise data warehouse models
• Take part in the performance optimization processes
• Guide on research activities (PoC) if necessary
• Manage cloud based data & analytics platform
• Establishing best practices with CI\CD under BigData scope

Founded in 1981, our client is a leading global omnichannel retailer of sports fashion and outdoor brands, operating over 4,500 stores across 36 countries with a strong presence in the UK, Europe, North America, and Asia-Pacific.

Guided by a vision to connect globally, inspire locally, and empower individuals, the company engages a new generation of consumers through the universal culture of sport, music, and fashion, while continuously setting global standards for retail excellence.

Our team supports this international growth by designing, building, and evolving a custom eCommerce platform that underpins the client’s core e-commerce and retail systems within a global omnichannel ecosystem.

Job Description

We are looking for a skilled Full Stack Developer who can take ownership of designing, building, and evolving scalable web applications. This role combines strong hands-on development with technical leadership, decision-making, and team mentorship across the full development lifecycle.

• Strong hands-on experience with ReactJS and Next.js for building modern, scalable web applications
• Solid backend experience with Node.js
• Advanced proficiency in TypeScript and modern JavaScript (ES6+)
• Experience designing and integrating GraphQL and REST APIs
• Practical knowledge of unit and integration testing (e.g., Jest)
• Ability to drive technical decisions, enforce best practices, and review code
• Advanced English, sufficient for daily communication with international stakeholders
  Nice-to-have
• Experience with serverless and event-driven architectures
• Familiarity with Agile / Scrum development processes
• Understanding of performance optimization and security best practices
• Exposure to Infrastructure as Code (Terraform or CloudFormation)
• Previous experience mentoring developers or acting in a technical leadership role

Key Responsibilities

• Lead the design and development of complex, scalable, and high-performance applications.
• Define and enforce coding standards, best practices, and architectural guidelines.
• Collaborate with architects, product managers, and business stakeholders to design system solutions.
• Development & Technical Leadership:
• Build end-to-end features using ReactJS/Next.js (frontend) and Node.js (backend).
• Design and implement APIs using GraphQL and REST where appropriate.
• Ensure test coverage and reliability through unit/integration testing with Jest.Mentorship & Team Collaboration:
• Mentor and guide engineers, ensuring continuous technical growth within the team.
• Collaborate with cross-functional teams including UX/UI, QA, and DevOps.
• Lead technical discussions, proof of concepts, and design reviews.

Job Responsibilities

• Work with team to ensure that the initiatives are lead and delivered to closure
• Collaborate with the product managers , challenge them in terms of features and keep the delivery time line intact
• Ensure that the solution is technically robust and scalable to meet all the fascia needs
• Have Unit tests, integration tests, mocks as part of the solution
• Direct the teams in terms of development, testing and integration
• Be hands-on and write code, review code of the team before it goes to the client
• Zero tolerance towards bad coding practices and lack of tests
• Look at the features to be indedependtly deployable and release independently
• Look at the cost optimization and scale optimization for the features deployed
• Guide the team with the implementation in terms of tech, design and be accountable for the work package delivery