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Java Full Stack Engineer
Builds and maintains Java/Spring Boot microservices and REST APIs, deploys cloud-native apps on AWS/Azure, and collaborates in Agile teams using Docker, CI/CD, and DevOps practices.
Software Engineer
Builds and maintains bespoke software solutions for law enforcement clients, using Java, cloud platforms (AWS/Azure), and DevOps tools like GitLab for CI/CD pipelines and security-focused deployments.
Software Developer
Develop and maintain APIs and systems for secure archiving and distribution of human genetic data using Java/Spring Boot and Kubernetes, ensuring FAIR data principles and high-volume encrypted data streaming.
Software Engineer
Build cloud platforms and microservices for connected vehicles and OTA updates using Java, Spring Boot, and GCP, while owning DevOps and IaC pipelines.
Java Full Stack Developer
Build and test full-stack applications using Java, Spring Boot, and C#/.NET, with TDD/BDD practices and tools like GitHub, SonarQube, and WireMock.
DevOps Engineer (Junior/Mid)
Build and maintain AWS-based infrastructure for a B2B food-safety SaaS platform, automating CI/CD pipelines and ensuring compliance with Docker, Kubernetes, and IaC.
Full Stack Engineer at Virtusa
Build and maintain full-stack web apps using React/Next.js on the frontend and Java/Spring Boot or Go/Python on the backend, with cloud and CI/CD pipelines.
Senior Java Developer
Senior Java Developer About the Role We are looking for a Senior Java Developer to design, develop, and support enterprise applications within a fast-paced technology environment. You will work closely with…
Cloud Engineer
Design and maintain scalable cloud infrastructure on GCP/AWS/Azure to support drug-discovery software, using Terraform, CI/CD, and Linux administration.
Principal Software Engineer - AI & Software Factory Engineering
Leads AI and software factory engineering initiatives, focusing on containerization, GitLab CI/CD, and Kubernetes orchestration to optimize software delivery pipelines for a government contractor.
Platform Engineer / DevOps Engineer OpenShift
You’ll design, automate, and secure a private OpenShift/Kubernetes cloud platform for Switzerland’s healthcare data network, enabling self-service deployments and CI/CD pipelines while ensuring high availability and ISO 27001 compliance.
Principal iOS Engineer
Lab49 is an award-winning specialist consultancy that creates bespoke technology in partnership with the most important companies in finance. We were founded in 2002 to bring Silicon Valley solutions to Wall Street’s…
2026-7971 QA Engineer III (Data-Actuarial) (Night Shift)
Designs and runs automated test suites (Selenium, Cucumber, Java) for web apps, troubleshoots frameworks, and mentors junior QA engineers on best practices.
Databricks Unified Data Analytics Platform Engineer- Cebu
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Delta Lake, and Unity Catalog, then expose clean data to BI tools and GenAI datasets.
QA Engineer III (Data-Actuarial)
QA Engineer builds and maintains automated test scripts (Python/Java/JavaScript/C#) using Selenium, Cucumber, and Jenkins to validate features, troubleshoot frameworks, and mentor junior team members.
System Engineer - Data Platform (APAC Region)
Administer and automate enterprise Oracle and PostgreSQL databases across OCI, AWS, and hybrid clouds, ensuring performance, security, and reliability for APAC operations.
Databricks Unified Data Analytics Platform Engineer
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Delta Lake, and Unity Catalog, ensuring data quality and enabling secure analytics and GenAI-ready datasets.
Lead Data Platform Engineer
Lead a team to build and optimize cloud-native data platforms, pipelines, and MLOps workflows for a large Philippine bank, ensuring scalability, security, and compliance.
Data and Platform Engineer
Build and maintain full-stack, cloud-native apps using React/Next.js, Node.js/Python, and AWS serverless services to power data-driven business decisions.
Data Platform Engineer
Design and maintain cloud-native data platforms (Databricks, dbt, Kafka) for banking analytics and ML, using DataOps/MLOps practices to ensure secure, scalable pipelines.