Top Tech Jobs & Startup Jobs

Build, administer, and optimize enterprise Databricks data platforms in Azure. Responsibilities include platform operations, Terraform-based infrastructure automation, data ingestion enablement, governance through Unity Catalog, access controls, monitoring, troubleshooting, incident response, and reliability improvements. The role partners with data engineers, architects, analysts, infrastructure, and security teams to support scalable production analytics and data workloads.

Design, build, and operate scalable APIs and event-driven backend services using TypeScript, Node.js, Python, Kafka, and PostgreSQL. Develop infrastructure as code and CI/CD pipelines, troubleshoot production systems, and participate in on-call support. Provide technical leadership through architecture reviews, API and event standards, code reviews, mentoring, and cross-team guidance. Help improve engineering quality, reliability, scalability, development tooling, and adoption of AI-assisted development practices.

Design, develop, test, and deploy scalable frontend and backend software across distributed cloud architectures. Lead complex feature and service implementation, translate requirements into technical designs, contribute to architecture, and promote quality, security, observability, and maintainability. Collaborate cross-functionally, conduct code reviews, mentor engineers, mitigate technical risks, improve development practices, and evaluate tools that enhance engineering productivity and product quality.

Lead and develop a software engineering team modernizing a legacy enterprise platform. Drive re-architecture, define target-state architecture and technical strategy, guide scalability and reliability decisions, and establish engineering standards for testing, code review, CI/CD, infrastructure automation, observability, and operational excellence. Partner with Architecture, Product, Security, and business stakeholders while recruiting talent, supporting career development, and balancing technical priorities with delivery commitments.

Provide analytics and data-driven insights for CoverMyMeds clients, prioritize work that drives commercial outcomes, build relationships with account teams, apply statistical and predictive methods, monitor portfolio health, deliver client-facing visuals and recommendations, support complex requests and escalations, and inform strategic decisions across product, analytics, and operations.

Lead design, development, and deployment of end-to-end AI healthcare solutions. Integrate LLMs, imaging, and document parsing into EHRs, build HIPAA-compliant data pipelines, evaluate models with clinical metrics, mentor engineers, and rapidly prototype AI features with product teams.

The role involves designing authentication and authorization solutions, integrating applications with identity platforms, and maintaining security practices within identity services. A focus on collaboration with Security and Product teams is important.