Top Tech Jobs & Startup Jobs

Owns end-to-end data engineering on Microsoft Fabric, including Bronze, Silver, and Gold medallion pipelines, event-driven ingestion, CDC, schema evolution, data quality, orchestration, and production observability. Manages Azure DevOps CI/CD and environment promotion, integrates data feeds with Pecan AI models, and supports Power BI semantic models and governance. Requires advanced SQL, Python, PySpark, Delta Lake, Azure, KQL, Power BI, Git, and data engineering experience.

Build and maintain complex backend APIs and system integrations using Python and TypeScript. The role requires 10+ years of backend engineering experience and collaboration with a U.S.-based team for at least 2–4 overlapping hours. Dental practice management system or healthcare integration experience is strongly preferred. Experience with GraphQL, Hasura, PostgreSQL, GCP, or AWS is valuable.

Design, develop, and maintain Playwright-based automation frameworks and automated regression/functional test suites. Integrate tests into CI/CD pipelines, execute API, UI, and integration testing, perform root cause analysis, standardize QA processes, collaborate with developers across the SDLC, and produce test documentation and QA metrics.

Design, implement and maintain network protocol stacks and communication systems. Develop software in Go/.NET/Java/C++/C, work on cloud networking, SaaS/microservices deployments on AWS/Azure/GCP, use Kubernetes, gRPC, WireGuard tunnels, NATS pub/sub, and operate on Linux.

Design, build, and operate enterprise-grade platform services across hybrid and on-prem environments. Implement IaC with Terraform, GitOps deployments (ArgoCD, GitHub Actions), manage production Kubernetes clusters, large-scale data platforms (Hadoop/EMR), distributed storage (MinIO/S3), caching (Redis/Memcached), and observability (OpenTelemetry, Prometheus, Grafana, Loki). Automate CI/CD, troubleshoot production issues, ensure scalability and reliability, and collaborate with cross-functional teams.

Engineer and implement network protocol stacks and services. Requires deep networking knowledge, protocol expertise, programming in Go/.NET/Java/C++/C, cloud-native and Kubernetes experience, and familiarity with gRPC, WireGuard tunnels, NATS pub/sub, major cloud providers, and Linux.

Lead architecture and delivery of scalable AI/ML and computer vision platforms for Manufacturing and Automotive customers. Own end-to-end solution design across cloud, edge, and embedded systems, mentor senior teams, drive ADAS and industrial AI initiatives, support pre-sales, and ensure technical governance and delivery excellence.

Lead and mentor cross-functional engineering teams to deliver high-quality Java/Oracle-based systems. Provide hands-on technical guidance in system design and architecture, enforce governance (Jira, release management, RCA), drive process improvements, and align execution with strategic IT roadmaps while managing risks and escalations.

Design, build, and operate scalable GenAI platforms (AI Agents, RAG, Knowledge Graphs). Develop backend services, implement IaC and CI/CD, deploy on cloud-native and Kubernetes environments, and collaborate with data scientists and ML engineers to deliver production-grade AI infrastructure.

Design, develop, test, and maintain scalable healthcare full-stack applications. Build React/Material UI front ends and Java/Spring Boot backends, create RESTful APIs, support microservices and cloud-native deployments (Azure), participate in Agile ceremonies, CI/CD, testing, production support, troubleshooting, and documentation.