Top Engineering Jobs

Design, implement, test, and deploy full‑stack software for commercial lab/medical products. Serve as secondary technical lead, shape architecture, build front‑end and back‑end services, APIs, CI/CD pipelines, automated tests, and support cloud and on‑prem deployments while collaborating with product, science, and cross‑functional teams.

Designs, provisions, migrates, and administers Azure resources and databases; implements RBAC, backups, cost optimization, logging and dashboards; automates infrastructure with Terraform and PowerShell; implements Azure DevOps CI/CD pipelines; supports ETL using Azure Data Factory; documents processes and provides user/cloud support.

Lead design and delivery of cloud-native, distributed full‑stack systems; own end-to-end projects and incident response; mentor engineers; write ADRs and RFCs; optimize performance and apply secure SDLC and AI‑augmented development practices.

Design, develop, and maintain Palantir Foundry solutions: build ontology objects, workspaces, dashboards, and forms; manage datasets and data transformations; gather and translate business requirements; troubleshoot, document, and support Foundry applications while collaborating with cross-functional stakeholders.

Work with enterprise customers to design and implement Neo4j graph solutions across the project lifecycle: graph data modeling, architecture, data ingestion, AI/analytics integrations, deployment, training, and technical consulting to ensure production-ready outcomes.

Design, develop, and deploy Tungsten TotalAgility document capture and workflow solutions. Configure classification, extraction, OCR, forms, queues, and business rules. Build integrations with APIs, ERP/CRM/ECM, databases and cloud platforms. Troubleshoot production issues, support deployments, participate in code reviews, and contribute to AI/IDP innovation.

Build and ship end-to-end product features across frontend, backend, and infrastructure. Prototype and run experiments to move product metrics. Own production systems (debugging, performance, reliability). Use AI/ML tools and LLM APIs to create intelligent experiences. Contribute to code quality, documentation, and reviews.

Design, develop, test, and maintain scalable payment applications and backend services. Build secure, PCI DSS-compliant APIs, debug production issues, participate in code review and architecture discussions, optimize performance, and collaborate with cross-functional teams while mentoring junior engineers.

Design, build, and maintain CI/CD pipelines and cloud infrastructure using Azure DevOps, Terraform/Ansible, Docker, and Kubernetes. Support Windows/Linux systems, monitoring and observability, incident response, and on-call rotation. Collaborate with development teams to automate deployments, troubleshoot reliability issues, document processes, and report system health.

Design, implement, and maintain backend APIs, services, and data pipelines. Optimize database performance, manage Docker-based microservice architecture, ensure software quality with testing and monitoring, collaborate across teams, and serve on-call roughly one week per month.