GlobalLogic

Description

The GlobalLogic technology team is focused on next-generation health capabilities that align with the client’s mission and vision to deliver Insight-Driven Care. This role operates within the Health Applications & Interoperability subgroup of our broader team, with a focus on patient engagement, care coordination, AI, healthcare analytics, and interoperability. These advanced technologies enhance our product portfolio with new services while improving clinical and patient

experiences.

Requirements

An AWS Data Engineer designs, develops, and maintains scalable data solutions using AWS cloud services.

Key Responsibilities:
    • Design, build, and manage ETL (Extract, Transform, Load) pipelines using AWS services (e.g., Glue, Lambda, EMR, Redshift, S3).
    • Develop and maintain data architecture (data lakes, warehouses, databases) on AWS.
    • Implement data quality and governance solutions.
    • Automate data workflows and monitor pipeline health.
    • Ensure data security and compliance with company policies.
Required Skills:
    • Proficiency with AWS cloud services, especially data-related offerings (S3, Glue, Redshift, Athena, EMR, Kinesis, Lambda).
    • Strong SQL and Python skills.
    • Experience with ETL tools and frameworks.
    • Familiarity with data modelling and warehousing concepts.
    • Knowledge of data security, access management, and best practices in AWS.
Preferred Qualifications:
    • AWS certifications (e.g., AWS Certified Data Analytics – Speciality, AWS Certified Solutions Architect).
    • Background in software engineering or data science.

• Hands-on experience with Oracle Database and log-based Change Data Capture (CDC) replication using AWS Database Migration Service (DMS) for near real-time data ingestion.

Job responsibilities

– Develops, documents, and configures systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.

– Involved in planning of system and development deployment, as well as responsible for meeting compliance and security standards.

– API development using AWS services in a scalable, microservices-based architecture

– Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.

– May document testing and maintenance of system updates, modifications, and configurations.

– May act as a liaison with key technology vendor technologists or other business functions.

– Function Specific: Strategically design technology solutions that meet the needs and goals of the company and its customers/users.

– Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or if a customisation solution would be required.

– Test the quality of a product and its ability to perform a task or solve a problem.

– Perform basic maintenance and performance optimisation procedures in each of the primary operating systems.

– Ability to document detailed technical system specifications based on business system requirements

– Ensures system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc.)

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.

Description

Our client is a performance rights organization in the United States. It collects blanket license fees from businesses that use music, entitling those businesses to play or sync any songs from the client’s repertoire of over 22.4 million musical works. On a regular basis, the client distributes the money to songwriters, composers, and music publishers as royalties to those members whose works have been performed.

Requirements

Education:

• Bachelor’s degree in business, computer science, or a related field.

Experience:

• Minimum of five (5) years of product owner experience.
• Two (2) years of agile / scrum team experience
• Domain knowledge of musical rights management

Skills and Abilities:

Required technical skills:

• Data analysis skills

PO/BA skills:

• Demonstrated experience in learning new technologies quickly.
• Experience mocking up user interface requirements using prototyping.
• Experience writing user stories for a development team.
• Organization and planning skills
• Excellent attention to detail.
• Conflict resolution skills.
• Strong facilitation skills.
• Ability to build and sustain collaborative working relationships at all levels.
• Flexibility with changing priorities.
• Critical thinking skills.
• Customer service oriented.

Communication skills:

• Very strong written and verbal communication skills.
• Advanced English skills with ability to perform customer facing functions.

Job responsibilities

• Translates Product Managers’ strategies into user stories and acceptance criteria that are clearly understood by operational partners, developers to code against and QA to test from. Provides artifacts such as wireframes, data flows, etc. to support that effort.
• Serves as an internal customer expert for development and engineering teams by learning the customer and market requirements.
• Works closely with cross-functional teams to identify user needs and ensure the product meets customer expectations.
• Oversees all stages of product delivery : research, planning, execution release, refinement analysis and where needed retirement.
• Assesses the day’s work and make any necessary adjustments to the product backlog.
• Works closely with Product Manager to prioritize backlog to align to Roadmap and keeps the Roadmap up to date with execution.
• Interprets a product and the requirements, evaluates all the options, works with developers/architects to understand any software limitations.
• Examines existing/new business models and flows of data and discusses findings with the Operational Partners, Product Manager and Engineering team as applicable.
• Assists in designing the most efficient and cost-effective solutions.
• Assists in the design of, and migration to, new platforms.
• Oversees the creation of user stories.
• Contributes to user manuals.
• Creates appropriate data dictionary.
• Oversees data migration mapping.
• Delivers both functional and non-functional requirements (business rules).
• Creates wire frames, story boards and workflow models.
• Other duties as assigned.

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:

• 1+ years QA experience
• REST API
• Web applications
• Postman
• Basic automation

Job Responsibilities:

• Support end-to-end testing of an enterprise AI-powered chatbot integrated with backend APIs and web UI. 
• Work under guidance of QA Lead and participate in regression, API validation, UI testing and golden dataset execution.
• Execute golden dataset test cases
• Compare structured outputs against expected results
• Validate response format consistency
• Flag hallucination-like deviations
• Re-run manual drift validation scenarios
• Execute API tests
• Run regression test suite
• Support performance test execution
• Log defects clearly with reproduction steps

Job Description

• 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 (but not mandatory):

• 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

   

Department/Project Description:

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.

Our team is tackling high-complexity challenges in computational modeling and GenAI-driven analytics. We are currently building a next-generation acceleration layer for predictive simulations that requires a blend of deep theoretical knowledge and low-level GPU optimization. You will be responsible for ensuring our mathematical models don’t just work they run at the theoretical limits of available hardware.

Requirements

• PhD in Computer Science, Physics, Mathematics, or a related quantitative field with a focus on high-performance computing or numerical methods
• 3+ years of experience in Python Engineering (Middle/Senior level) with a deep understanding of asynchronous programming and system architecture
• 1+ year of hands-on experience with NVIDIA NIM and Triton Inference Server for deploying optimized LLMs or specialized AI models
• Strong proficiency in CUDA C++ and CuPy for developing and accelerating custom GPU kernels and parallel algorithms
• Proven track record of translating complex theoretical papers/models into production-ready, GPU-accelerated code

Job responsibilities

• Design and Architect high-performance inference pipelines using NVIDIA NIM to serve LLMs and custom generative models at scale
• Develop and Optimize custom GPU-accelerated operators using CuPy and raw CUDA kernels to bypass CPU bottlenecks in mathematical computations
• Profile and Debug GPU memory utilization and compute kernels using NVIDIA Nsight Systems/Compute to hit aggressive latency targets
• Bridge the Gap between research-grade prototypes and production systems, ensuring code is modular, tested, and scalable
• Implement GPU-efficient data structures for real-time processing of large-scale industrial or scientific datasets
• Collaborate with cross-functional teams to integrate specialized AI microservices into broader cloud-native architectures (Kubernetes/Azure)
• Stay at the forefront of GPU computing, evaluating new NVIDIA hardware features (like H100 Transformer Engines) for project applicability

Tools

• NVIDIA: NIM, CUDA, CuPy, TensorRT, Triton Inference Server, Nsight, DCGM
• Backend/AI: Python (Expert), FastAPI, PyTorch, NumPy/SciPy, Numba
• Platform: Docker, Kubernetes, Helm, gRPC/REST, Prometheus/Grafana

Our Client is the fast-paced digital healthcare company which creates the growing portfolio of online health communities for people with chronic conditions. Company’s mission is to improve patient’s quality of life by connecting them with each other, with caregivers and healthcare industry partners, building beneficial social interactions and meaningful health conversations. 

About project:
The core of the project is working with the data; the target is to re-design and enhance data-driven solutions. The team is responsible for expanding and optimizing the data flow and data pipeline architecture, model and analyze data, interpret trends or patterns in complex data sets and translate them into product and marketing insights. If you are excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of products and data initiatives, we would be thrilled to have you apply!

Requirements:

● Good Python skills

● Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

● A successful history of manipulating, processing and extracting value from large disconnected datasets

● Experience building and optimizing data pipelines, architectures and data sets

● Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

● Strong analytic skills related to working with unstructured datasets

Technologies:

• Python
• AWS: SES, RDS (MySQL), EC2, Elasticsearch Service, Route 53, VPC, etc
• Snowflake
• Docker
• dbt
• Airflow
   

Job responsibilities:

● Manage and optimize core data infrastructure

● Develop custom data infrastructure not available off-the-shelf

● Build monitoring infrastructure to give visibility into the pipeline’s status

● Monitor all jobs for impact on cluster performance

● Run maintenance routines regularly

● Tune table schemas to minimize costs and maximize performance

● Build and maintaining custom ingestion pipelines

● Build non-SQL transformation pipelines

● Build processes supporting data transformation, data structures, metadata, dependency and workload management

Our Client is the fast-paced digital healthcare company which creates the growing portfolio of online health communities for people with chronic conditions. Company’s mission is to improve patient’s quality of life by connecting them with each other, with caregivers and healthcare industry partners, building beneficial social interactions and meaningful health conversations. 

About project:
The core of the project is working with the data; the target is to re-design, transition to cloud and enhance data-driven solutions. The team is responsible for expanding and optimizing the data flow and data pipeline architecture, model and analyze data, interpret trends or patterns in complex data sets and translate them into product and marketing insights. 

About position:

The Data Analytics Engineer is responsible for bringing data from different data sources, modelling data with dbt, developing and performing data quality checks across all data assets. That includes ETL jobs, reports, dashboards, data pipelines and data applications. The primary goal for this role is to ensure high quality of data delivered to internal stakeholders and customers. 

Requirements

• Working knowledge of SQL, and data transformation
• Understanding of data warehouses and business intelligence tools
• Have 5+ years of experience as a data analyst
• Problem-solving and analytical skills to troubleshoot data issues and technical challenges
• Good English skills

 Nice to have:

• Experience with Looker
• Experience with dbt
• Experience writing analytical Python

Technologies:

• AWS
• Databases – Snowflake, Postgre, BigQuery
• DBT
• BI Tools – Looker, Tableau (optional)
• Metaplane
• Git
   

Job responsibilities

• Model and analyze data
• Work on data quality validation
• Leverage various data warehouses, ETL tools and BI platforms for client projects
• Maintain deliverables, projects, and timelines for your client engagements
• Communicate findings clearly to a broad range of stakeholders
• Write SQL scripts to validate data in the data warehouse against the data in the source system(s); write SQL scripts to validate data surfacing in BI assets against the data sources
• Provide training and support to users, improving their experience with BI tools

Job Description

5+ years as DevOps Engineer in Linux environment

5+ years of Python development

Deep knowledge of networking and security

Hands-on experience with Linux, Containers, Kubernetes and AWS

Strong skills in Shell scripting and CI/CD pipelines

Excellent problem-solving and communication skills

Lead activities using Agile/Scrum methodologies

Job Responsibilities

Maintain and improve CI/CD pipelines

Administer on-prem Linux (Debian-based) servers

Manage AWS infrastructure

Lead Kubernetes (K8s) operations

Build internal DevOps tools (Python, Shell)

Troubleshoot systems, monitor performance, and identify bottlenecks

Collaborate with Automation and R&D teams as support tier

Participate in the DevOps on-call routine

Mentor and promote DevOps best practices and team members

Department/Project Description

Our customer is a leading provider of innovative broadband solutions that deliver video, voice and data to communications providers around the world. GL team participates in development, QA and support of several generations of these solutions.

DevOps team:
• Develops and maintains a tool set and a framework for building customer product. These include a
variety of Linux systems, including Embedded Systems, Data Center Servers and Containerized
solutions. This framework builds Debian packages and Docker images, and assembes a deliverable
product.
• Maintains on-premise Debian servers, Cloud and VMs for running this framework. The build system
consists of an array of Python, Perl and Bash modules, and uses REST API servers and clients, and
some Jenkins automation.

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

Project goals include automation testing of the video and audio content and other services available via digital media players using a custom test automation framework.
 

The candidate must be ready for a week-long onboarding in Lviv.


Job Description

1+ years of hands-on experience in Python Web Automation testing
Strong practical experience with Selenium WebDriver
Experience writing and maintaining automated tests within an existing framework
Solid understanding and practical usage of the Page Object Model (POM) pattern
Basic understanding of test automation architecture principles
Basic experience or understanding of API testing (REST, JSON, HTTP)
Basic understanding of CI/CD processes (experience running automated tests in Jenkins, GitHub Actions, GitLab CI, etc. is a plus)
Confident working knowledge of Git (clone, branch, merge, pull requests)
Basic working knowledge of Linux/Unix systems (navigation, running tests, working with logs)
Understanding of QA methodologies, SDLC, and defect lifecycle
Good analytical and problem-solving skills
Intermediate level of English (written and verbal) for working in an international team
Basic practical experience using AI tools to support test automation activities is a plus

 

Job Responsibilities

Designing, developing, and maintaining automated test frameworks using Python and Selenium;
Developing new automated tests and improving existing ones (refactoring, stability, performance);
Analyzing test failures, identifying root causes, and reducing flaky tests;
Participating in automation strategy discussions and decisions on what and how to automate;
Reviewing automation code and ensuring best practices are followed;
Extending automation coverage across UI and API levels;
Integrating and maintaining automated tests in CI/CD pipelines;
Collaborating closely with Manual QA, Developers, and Product teams;
Creating and maintaining technical documentation for automation solutions;
Mentoring junior automation engineers and sharing best practices;
Communicating with an international team (US).

Job Description

Experience: 3+ years of dedicated experience as a Scrum Master in a software development or IT environment.

Certifications: Advanced Agile/Scrum certifications are highly preferred (e.g., PSM II, PSM III, A-CSM, CSP-SM, or PMI-ACP).

Framework Knowledge: Deep, practical understanding of Scrum, Kanban, and other Agile methodologies. Experience working in a scaled agile environment is a major plus.

Technical Literacy: Strong understanding of the software development lifecycle (SDLC) and CI/CD practices. You don't need to code, but you must be able to "speak developer."

Tool Proficiency: Expert-level experience with agile management tools such as Jira, Confluence

Soft Skills: Exceptional communication, facilitation, negotiation, and conflict-resolution skills. Proven ability to influence without authority.

Job Responsibilities

Facilitation & Process Leadership: Lead all Scrum ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, Retrospectives and Refinements) 

Coaching & Mentoring: Act as an agile coach for the development team, Product Owner, and broader organization.

Product Owner Partnership: Work closely with the Product Owner to ensure the product backlog is healthy, refined, and properly prioritized to maximize value delivery, help Product owner to capture/improve user stories

Impediment Removal: Proactively identify and resolve systemic blockers, dependencies, and conflicts that impact team performance and delivery.

Metrics & Continuous Improvement: Track and communicate agile metrics (velocity, cycle time, burndown, etc.) to the team and stakeholders. Use data to drive conversations around process improvements and team health.

Cross-Team Collaboration: Facilitate coordination with other teams and departments.

Culture Building: Foster a safe, high-trust environment where team members feel comfortable experimenting, failing, and learning.

Delivery overseeing: prepare release notes and deployment plans

Department/Project Description

Our customer is a private, family-owned company, founded by scientists and dedicated to providing the world’s highest quality, innovative research and diagnostic products to accelerate biological understanding and enable personalized medicine. Our employees operate worldwide from our U.S. headquarters in Massachusetts, and our offices in the Netherlands, China, and Japan.

Job Description

- Basic understanding of software testing principles, types, techniques, and the software development lifecycle.
- Familiarity with Windows operating systems.
- Knowledge of relational databases (preferably SQL Server); ability to write and execute simple SQL queries (SELECT, UPDATE, DELETE).
- Attention to detail and strong analytical skills.
- Ability to document test cases and results clearly.
- Basic knowledge of virtualization tools such as VMware and Oracle VirtualBox.
- English at a level sufficient to read technical documentation.
- Willingness to learn and grow in the QA field.

Job Responsibilities

- Training and performing software testing tasks for a project.
- Executing test cases, documenting results, and reporting issues.
- Setting up and working with virtual machines in VMware and Oracle VirtualBox for testing purposes.
- Collaborating with developers and other QA team members to ensure software quality.
- Learning and applying best practices in quality assurance.

Department/Project Description

Our client is a big medical equipment manufacturer located in the United States. We have completed a lot of projects for them during the last 20 years and continue our strong relationship. We are creating a desktop application that allows to connect to customer equipment in the field via USB or Bluetooth and allows customers to perform common device maintenance tasks.

Description

As the Business Analyst for the Data Platform, you will be the vital link between our business stakeholders and the technical engineering team. You will be responsible for translating high-level business goals into clear, actionable requirements that will shape the development of our new analytics dashboards. Your work will ensure that the final product is not just technically sound, but that it delivers meaningful and impactful insights to the business.

Requirements

Required Skills (Must-Haves)

– Business Process Analysis: Proven experience in analyzing and documenting complex business processes.
– Requirements Engineering: Strong skills in writing clear and concise user stories and requirements documents.
– Data Literacy: Good understanding of database (DB) concepts, schemas, and data relationships.
– SQL: Basic to intermediate SQL skills for data exploration and validation.
– BI Knowledge: Familiarity with Business Intelligence (BI) concepts and experience working on BI or data warehousing projects.

– Hands-on Tableau Experience: Ability to build proof-of-concept reports and perform data exploration directly in Tableau.

Nice-to-Have Skills:

– Agile Certification: Formal certification in an Agile methodology, such as Certified Scrum Product Owner (CSPO).
– Data Governance Familiarity: Understanding of data governance principles.

– Proficiency in GenAI tools usage.

Job responsibilities

– Requirements Gathering: Lead workshops and interviews with business stakeholders to elicit, analyze, and document business requirements
– Translate to Technical Needs: Convert business needs into clear user stories and functional specifications for the data engineers and BI developer.
– Data Mapping & Analysis: Create source-to-target mapping documents and use SQL to explore source data, validate business rules, and ensure the technical team understands the data’s context.
– Dashboard Collaboration: Work closely with the BI Developer to design intuitive and effective Tableau dashboards that directly address the defined business questions.
– Facilitate Communication: Act as the primary communication bridge, ensuring there is a shared understanding between all project members and stakeholders.

– Collaboaration with Architect defining solution architecture and specifications

– Work closely with PM/Scrum master supporting Sprints/PIs plannings

Job Description

Qualifications
You will succeed in this role if you:
● Have at least 3 years of experience with On Prem and/or Cloud Providers (AWS, Azure, or GCP), with Azure being a must.
● Have worked with Azure cloud environments to manage and deploy Java applications built on Spring Boot and Spring MVC.
● Possess deep experience with Spring Batch for high-volume data processing and Spring Data (referenced as String Data) for robust RDBMS/NoSQL integration.
● Have a proven track record of setting up and configuring CI/CD pipelines using tools such as Jenkins or GitHub Actions to enforce the 80% unit test coverage requirement.
● Understand container technology, such as Docker and its ecosystem, for packaging Spring-based microservices.
● Have experience with build and delivery processes for enterprise web applications and complex backend systems.
● 5+ years of experience working on large development projects using TypeScript and modern frontend ecosystem tools.
● 3+ years of experience building high-performance web applications using Next.js, including deep knowledge of App Router, Server Components, and SSR/SSG patterns.
● 3+ years of experience implementing enterprise-grade UI components using the Hitachi Design System (or similar enterprise design systems) to ensure visual and functional consistency.
● 3+ years of experience building robust unit and component tests using tools like Jest, Vitest, or React Testing Library to meet the 80% line coverage mandate.
● Are always looking for ways to automate testing, deployment, and regression suites.
● Can explain the advantages and disadvantages of containerization in a microservices architecture.
● Are interested in improving the software delivery lifecycle using frameworks like Kubernetes and Terraform.
● Are comfortable working in polyglot environments (debugging code in Java, Node.js, Python, Groovy, or Golang).
● Understand the benefits of static code analysis, open-source scanning, and mandatory peer reviews by at least two engineers.
● Are ready to help inform “build vs. buy” decisions and participate in Change Control Board (CCB) reviews for scope or schedule shifts.
● Could field questions on topics like “DevOps,” “Microservices,” “Continuous Delivery,“ or “Batch Processing.”
● Understand RBAC, the principles of least privilege, and AI data security protocols to ensure client data is not used for model training.
● Are familiar with both NoSQL (Mongo, Redis) and RDBMS (Postgres, MySQL, SQL Server) systems, specifically utilizing Spring Data for abstraction.
● Understand SLIs, SLOs, and Error Budgets and how to apply the four golden signals to backend services.
● Are comfortable challenging the status quo, thinking outside the box, and adhering to a formal Definition of Done.

● Have experience with or the desire to lead others, including managing technical expectations with the Program and Product Manager.
● Work well with others and enjoy the journey of delivering high-quality products.
● Enjoy working in and learning to use a wide variety of technologies and languages.

Nice to have
● Experience building and managing scaled architectures like Microfrontends, Monorepos (Turbo/Nx), and shared internal component libraries.
● Experience managing and evolving CI/CD pipelines (Jenkins, GitHub Actions) and related DevOps tools.
● Experience building QA test automation (Cypress, Playwright) and ensuring software conforms to designs verified by the UX Lead.
● Experience building and maintaining application analytics, real-user monitoring (RUM), and securing frontend applications.
● Experience building Authentication and Authorization (NextAuth, OAuth) for protected enterprise applications.

Job Responsibilities

• Design and develop enterprise applications using Java (Spring Boot, Spring MVC, Spring Batch) and modern frontend technologies (TypeScript, React, Next.js).
• Deploy and manage applications in Azure cloud environments and support containerized microservices using Docker.

• Build and maintain CI/CD pipelines (Jenkins, GitHub Actions) and ensure high code quality and testing standards.

   

• Integrate backend services with RDBMS and NoSQL databases using Spring Data.

   

• Support microservices architecture, container orchestration, and infrastructure automation using tools like Kubernetes and Terraform.

   

• Collaborate with stakeholders and engineering teams to deliver scalable solutions and participate in architecture and technical decision-making.

   

• Contribute to DevOps practices, monitoring, and reliability using concepts such as SLIs, SLOs, and error budgets.

   

• Mentor engineers and support delivery planning in collaboration with Product and Program Managers.

Department/Project Description

The client is one of the largest energy providers in the United States, operating across power generation, transmission, and distribution, and driving innovation in grid modernization, digitalization, and AI-enabled energy infrastructure. They play a critical role in supporting large-scale data centers and future AI factories with reliable, secure, and efficient energy solutions.

Description

Client is a luxury skincare and beauty brand. The brand is based in San Francisco and sells luxury skincare products worldwide.

Tatcha’s 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

• 6+ 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.

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.

Job Description

Required

• Bachelor’s degree in Computer Engineering or Computer Science.
• 5+ years of relevant software development experience. 
• Able to work and influence in a highly cross-functional team environment
• Management: 3 or more projects in parallel 
• Experience in interviewing and candidate selection 
• Experience in introducing and driving Agile development processes (Scrum and Scaled Scrum) within the organization.
• Continues improvement attitude, change driver
• Understanding of Unit Testing, Continuous Integration and debugging of complex software systems
• Ability to work in a multinational and geographically distributed team 
• Excellent communication and negotiation skills, for both internal and external audiences, at all levels
• Excellent written and spoken English level

Nice to have

• Experiences with medical deveice development processes and communication standards.
• Experience with cross-platform development.
• Excellent time management and organizational skills and experience establishing guidelines in these areas for others.
• Medical device development process knowledge

Job Responsibilities

• Coordinate teamwork
• Handle communication with the team, client, and other subteams
• Train and coach on ceremonies: daily stand-ups, planning meetings, retrospective meetings, etc
• People management
• Processing of new opportunities
• Hold regular technical team meetings to determine progress and address any technical questions or challenges related to projects
• Collaborate with cross-functional teams to define, design, and ship new features
• Handle project documentation so it is always up to date

Department/Project Description

GL cooperates with eye care products industry leading US based company. Wide portfolio of project is growing on a weekly basis and covers technologies from embedded world through mobile applications to the cloud solutions, from System design through cybersecurity advisory to the test automation projects.