Top Engineering Jobs

Design, build, test, and maintain core Java applications while optimizing automated build pipelines (Gradle, GitHub Actions). Manage dependencies and artifacts, use containerization, develop AI-assisted developer tooling, perform code reviews, mentor engineers, and deliver biweekly Agile/Scrum releases.

Design, develop, and maintain high-performance .NET/Angular applications on Azure. Own full SDLC, build CI/CD pipelines, troubleshoot performance, mentor junior engineers, and integrate DevOps, databases, and security best practices while evaluating new technologies including AI/ML.

Full‑stack developer building and enhancing Java/Angular applications: design, develop, and deploy features; collaborate with architects, leads, and analysts; drive technical quality; analyze issues; and build AI-enabled solutions using no/low-code where applicable.

Design and implement automated test strategies and frameworks for ETL/data platforms and AI workflows. Perform data validation, reconciliation, API/integration testing, LLM and prompt validation, integrate tests into CI/CD, collaborate with engineering/product teams, and drive defect resolution and scalable quality processes.

Design, code, unit test and deliver full-stack Java/J2EE applications. Collaborate with QE and deployment teams, fix defects, support CI/CD/DevOps, mentor peers, follow SDLC and coding standards, and optimize application performance.

Design, build, and maintain mainframe-based healthcare and reporting systems. Troubleshoot production issues, analyze requirements, support availability and performance, manage code migrations and deployments, and participate in agile development and off-hours production support.

Lead full‑stack engineer on an Agile Scrum team: design and develop UIs, secure web services, and database schemas; deploy AI‑powered solutions; perform testing; mentor junior engineers; collaborate with product and stakeholders.

Lead production operations and incident management for customer-facing applications. Coordinate releases, drive P1/P2 incident response and RCAs, execute DR exercises, manage capacity and CMDB, support cloud platform operations (Kubernetes, Kafka, GCP/HCP), and lead automation and reliability improvements with engineering and vendor partners.

Lead large engineering teams to design, build, and deploy enterprise-scale software and AI-powered solutions; drive architecture, DevSecOps/CI-CD, cloud-native patterns, responsible AI, and stakeholder collaboration to improve healthcare delivery.

Manage Azure infrastructure, deploy workloads on AKS, enhance performance, drive automation, and oversee code security. Collaborate on CI/CD and AI implementation.