Top Tech Jobs & Startup Jobs

Manage high-volume inbound calls from labs and providers; coordinate specimen pickups, routing, and processing; troubleshoot specimen handling and transport issues; document interactions in systems; resolve customer complaints; follow lab policies and regulatory requirements; collaborate with couriers and lab staff to ensure timely, accurate service.

Senior Quality Engineer responsible for validating EDW ETL processes, source-to-target mappings, data transformations, and reports/dashboards. Develop and execute test plans and automation for databases, Power BI, and reporting; mentor testers; collaborate with data engineers, analysts, and developers; leverage AI/LLM tools to accelerate test generation, anomaly detection, and pipeline validation.

Lead technical direction and people management for an AI/ML engineering squad. Design, build, and deploy production-grade ML and Generative AI solutions (LLMs, RAG, agentic systems), drive MLOps/CI-CD, ensure Responsible AI and HIPAA-compliant practices, conduct architecture/code reviews, and mentor engineers to deliver measurable business outcomes.

Design, build, operate, and maintain enterprise AI platform services and agent runtimes. Develop APIs, SDKs, MCP servers, tool interfaces, retrieval and embedding pipelines, model serving, evaluation infrastructure, and distributed data foundations. Establish engineering, security, testing, CI/CD, and infrastructure standards while optimizing platform cost and scale. Apply AI/ML capabilities to healthcare workflows, ensure PHI protection and tenant isolation, evaluate emerging technologies, and mentor engineers while influencing technical strategy.

Field-based account manager responsible for enrolling members in Essential Plan, Medicaid, and Child Health Plus programs; developing B2B and community relationships; presenting health plan information; managing sales pipelines; meeting enrollment goals; tracking leads and activities in internal systems; and providing accurate member and partner support. Requires local territory travel, independent work, and occasional nights or weekends.

Leads the architecture, development, deployment, and governance of production-grade machine learning and generative AI solutions. Responsibilities include hands-on work with traditional ML, deep learning, LLMs, NLP or computer vision, MLOps, cloud infrastructure, model security, and responsible AI. The role leads proof-of-concept initiatives, transitions models into scalable production systems, mentors technical teams, documents architecture, and advises cross-functional stakeholders and leadership.

Develops and maintains mainframe system performance reporting, monitors system health, resolves complex incidents, and recommends performance improvements. Researches coupling facility performance, LPAR weights, and capping across z/OS and z/Linux platforms. Participates in 24x7 on-call support, designs technical solutions and documentation, develops product proofs of concept, and supports future technologies using AI. Requires extensive Parallel Sysplex and multi-LPAR performance expertise.

Perform application performance forensics and code-level tuning across large z/OS and Parallel Sysplex environments. Analyze DB2, SQL, batch, and exception-report metrics; develop and review COBOL, Java, Python, Go, JCL, and REXX code; support production war rooms and 24/7 application improvements. Provide technical education, proof-of-concept support, mentorship, and leverage AI tools to improve analysis and support efficiency.

Provides technical leadership for enterprise full-stack applications and microservices using React, Node.js, .NET, and Azure. Leads legacy-platform modernization, cloud migration, data integration, messaging, SQL and Delta Lake architecture, AI-powered automation, frontend UI migration, security compliance, and technical debt reduction. Mentors cross-functional engineering teams and guides platform innovation.

Designs, deploys, configures, and maintains enterprise Privileged Access Management solutions across hybrid-cloud environments. Automates vault operations, privilege elevation, and credential rotation using PowerShell and infrastructure-as-code. Integrates privileged accounts and target systems with enterprise PAM architecture, monitors performance, troubleshoots issues, manages upgrades, and ensures high availability and disaster recovery. Maintains least-privilege compliance, auditing, technical documentation, standard operating procedures, and operational guides.