Top Engineering Jobs

Design, build, and support HL7 v2.x interfaces using InterSystems Ensemble/IRIS and Epic Bridges. Translate clinical requirements into mappings, perform Epic-side builds, troubleshoot production interface failures, monitor queues, support Epic upgrades, and ensure HIPAA-compliant data exchange in a 24x7 healthcare environment.

Design and develop backend services and APIs, implement microservices, manage databases, and integrate AI/ML features, ensuring production readiness and engineering best practices.

Design, build, and maintain scalable full-stack enterprise web applications using HTMX/modern front-ends and Go/Java backends. Architect microservices and RESTful APIs, integrate messaging/event-driven systems, deploy cloud solutions with CI/CD (Azure DevOps/GitHub), and use AI-assisted tools to streamline development.

Lead quality engineering strategy and end-to-end test automation across web, API, mobile, cloud, and AI applications. Design and maintain automation frameworks, validate APIs and microservices, develop LLM/GenAI validation, ensure data integrity, integrate CI/CD quality gates, mentor QE engineers, and drive shift-left testing and quality metrics.

Design, build, and maintain end-to-end web applications and scalable microservices using Java, Spring Boot, and Angular. Participate across the SDLC, ensure secure and high-quality code via testing and CI/CD, deploy and operate apps on AWS, and integrate AI tools to improve development workflows and application features.

Full-stack senior engineer responsible for designing, coding, unit testing, and delivering Java/J2EE applications. Mentor peers, support QE with defect fixes and automation, follow SDLC and coding standards, participate in deployments and CI/CD, and optimize application performance.

As Director of Software Engineering, you will lead AI-first platform development, manage engineering teams, define architecture, and ensure quality delivery across projects.

The Principal Software Engineer will lead architecture and design of AI applications, ensuring scalable systems while mentoring teams and driving best practices in full stack development.

Design, automate, and operate large-scale Red Hat Enterprise Linux and KVM virtualization platforms on HPC infrastructure. Build automation with Ansible and scripting, manage storage (GPFS, LVM, dm-crypt/LUKS2), implement security/hardening, support networking (bonding, bridging, VLANs, macvtap), integrate monitoring (Grafana/Prometheus/Loki/AlertManager/Thanos), troubleshoot complex OS/virtualization/network/storage issues, and collaborate across Kubernetes, networking, security, and application teams to modernize and standardize platforms.

Lead design, automation, operation, and hardening of enterprise-scale OpenShift/Kubernetes platforms on HPC infrastructure. Administer clusters, implement IaC and monitoring, troubleshoot platform issues, enable HA/disaster recovery, support multi-cluster architectures, and drive platform modernization and operational excellence.