GlobalLogic

Job Description

• 5+ years of experience in developing full-stack applications.
• Experience with React frameworks such as Redux and React Router.
• Experience with Java, Spring Boot, and RESTful API development.
• Experience with cloud services and containerization using Azure and Docker.
• Familiarity with integrating Payment Gateways and CRM systems.
• Understanding of SQL and and NoSQL databases.
• Knowledge of implementing Single Sign-On (SSO) using OKTA or similar authentication providers.
• Good Understanding of SDLC process, version control, code review, continuous integration and automated deployment tools.
• Experience working on large-scale, production-grade projects.
• Knowledge of CI/CD methodology.
• Strong communication and collaboration skills
• Problem-solving skills with the ability to tackle challenges proactively and efficiently.
• B.Sc in Computer Science is an advantage.
• Advanced level of English

Job Responsibilities

• You will be part of a team responsible for integrating payment gateways and Customer Relationship Management (CRM) system.
• Collaborate with team members to design, develop, and deploy dynamic and responsive fullstack applications using React and Java.
• Participate in the integration of payment gateways and CRM systems, ensuring seamless operation and data flow.
• Contribute to the development of scalable and secure software systems, utilizing both SQL and NoSQL databases.
• Assist in the deployment of applications on cloud services, such as Azure Kubernetes Service (AKS), and manage containerized applications using Docker.
• Implement testing strategies including unit, integration, and automation tests to ensure the delivery of high-quality code.
• Work with product management and UX/UI teams to deliver user-centric designs and features.
• Maintain comprehensive technical documentation, including code structure, API documentation, and user guides.
• Communicate effectively with cross-functional teams and stakeholders.
• Stay updated on new technologies and methodologies to ensure continuous improvement of the development process

Department/Project 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.

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

Requirements:

• Terraform

• AWS Platform: Working experience with AWS services - in particular serverless architectures (S3, RDS, Lambda, IAM, API Gateway, etc…) supporting API development in a microservices architecture

• Programming Languages: Python (strong programming skills)

• Data Formats: Experience with JSON, XML and other relevant data formats

• CI/CD Tools: experience setting up and managing CI/CD pipelines using GitLab CI, Jenkins, or similar tools

• Scripting and automation: experience in scripting language such as Python, PowerShell, etc…

• Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, ELK, Dynatrace, Prometheus, etc…

• Source Code Management: Expertise with git commands and associated VCS (Gitlab, Github, Gitea or similar) 

NICE TO HAVE:

• Strongly Preferred: Infrastructure as Code: Experience with Terraform and CloudFormation - Proven ability to write and manage Infrastructure as Code (IaC)
• Documentation: Experience with markdown and in particular Antora for creating technical documentation
• Experience working with Healthcare Data, including HL7v2, FHIR and DICOM
• FHIR and/or HL7 Certifications
• Building software classified as Software as a Medical Device (SaMD)
• Understanding of EHR technologies such as EPIC, Cerner, etc…
• Experience implementation enterprise grade cyber security & privacy by design into software products
• Experience working in Digital Health software
• Experience developing global applications
• Strong understanding of SDLC – Waterfall & Agile methodologies
• Software estimation
• Experience leading software development teams onshore and offshore

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
• Experience with Infrastructure as Code (IaC)
• 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 meets 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 customization solution would be required.
• Test the quality of a product and its ability to perform a task or solve a problems.
• Perform basic maintenance and performance optimization 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…)

Job Description

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

Job Responsibilities

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

Bonus points for

GCP Data Engineer certification
Prior experience in media, marketing, or digital advertising analytics
Experience implementing data quality frameworks and governance tools
Familiarity with cost optimization strategies for BigQuery and other GCP services

Department/Project Description

The client is transforming its global data infrastructure to deliver faster, more scalable, and more intelligent analytics capabilities. As part of this journey, we're hiring a Data Engineering to manage the technical delivery and operational resilience of our core data platform.

This role sits at the intersection of engineering leadership, platform reliability, and architecture - helping us ensure that data flows are healthy, scalable, and ready for production. You’ll work across project delivery, production support, and platform enhancement initiatives while mentoring a growing team of engineers.

Project Description

The client is transforming its global data infrastructure to deliver faster, more scalable, and more intelligent analytics capabilities. As part of this journey, we're hiring a Data Engineering to manage the technical delivery and operational resilience of our core data platform.

Job Description

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

Job Responsibilities

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

Bonus points for

GCP Data Engineer certification
Prior experience in media, marketing, or digital advertising analytics
Experience implementing data quality frameworks and governance tools
Familiarity with cost optimization strategies for BigQuery and other GCP services

Department/Project Description

The company operates within the healthcare technology sector, specializing in solutions that enhance patient safety and data integrity. It develops advanced platforms that leverage biometric identification to accurately link individuals with their medical records. These innovations are crucial for preventing medical errors, reducing administrative redundancies, and safeguarding sensitive patient information against fraud. The organization's offerings support healthcare providers in addressing critical compliance and security challenges while simultaneously improving operational productivity. Its strategic focus includes building scalable, cloud-native SaaS products designed to revolutionize patient access and care delivery.

Job Description

• Experience using AI-assisted development tools such as ChatGPT, Claude, GitHub Copilot, or similar.
  Good experience with C#, .NET Framework, .NET 8, WPF, T-SQL, Git, and related technologies.
• Understanding of software architecture principles and ability to follow established architectural guidelines.
• Experience with code refactoring and improving existing code maintainability.
• Knowledge of tools such as Azure DevOps, InstallShield, MS SQL Server, and Git.
• Experience with .NET Core, ASP.NET Core, Entity Framework, and Telerik is a plus.
• Experience writing unit and integration tests.
• Experience supporting application modernization or migration to newer .NET versions.
• Experience working with development pipelines.
• Good knowledge of modern development patterns.
• Analytical skills that support solving technical tasks and reaching product goals.
• Clear communication, both verbal and written.

Job Responsibilities

• Collaborate with cross-functional teams to develop and maintain Windows desktop software.
  Work with Architects, System Engineering, and senior developers to align implementation with the intended architecture.
• Participate in refactoring activities to improve application performance, maintainability, coding standards, and existing flows.
• Support migration efforts, including upgrading to .NET 8.
• Write unit and integration tests.
• Follow cybersecurity protocols and best practices to support the security and integrity of healthcare data.
• Utilize WPF for desktop application development, enhancing user interfaces and user experiences.
• Apply Agile development principles to deliver quality software on schedule.
• Collaborate with team members and participate in continuous learning and improvement.

• Participate in architecture design and technology discussions involving in-house and third-party software solutions.

   

About The Project
We are building a large-scale automated advertising platform that powers the buying and selling of digital ads globally. The solution is used by leading publishers and applications to connect with brands and deliver ads to a massive audience worldwide.

The platform operates as a high-load, distributed system that supports multiple ad formats (including display, video, and digital out-of-home) across various devices. It focuses on real-time transactions, scalability, and efficient data processing to ensure seamless ad delivery and optimization.

Job Description

- Experience building and operating large-scale, high-throughput, enterprise apps
- 5+ years coding experience in server-side Java
- Excellent Java Core knowledge (Java 8 or higher, Collections, Exceptions, Concurrency)
- Experience with RDBMS (MySQL, PostgreSQL), native SQL, ORMs (Hibernate)
- Experience with automated testing frameworks (TDD, Mocking, Unit/Functional/Integration)
- Handy use of cloud services (AWS)
- Understanding of VCS (Git)
- Experience working in a Linux environment.
- Fluent English verbal and written communication skills
- Shifted working hours 1pm till 9pm EEST time zone

Nice to have experience with:
- Familiar with Scala, Spark
- Commercial experience with Spring Framework (Boot, Core, MVC, Data)
- Experience with Redis, Aerospike, RabbitMQ, Kafka, Camel
 

Job Responsibilities

- Write production-ready code and unit tests that meet both system and business requirements.
- Respond to feature requests, bug reports, performance issues, and ad-hoc questions.
- Work collaboratively with multiple teams to deliver quality software.
- Comfortable in multi-tasking and fast-pacing dev process.
- Support operation of services in production.