Top Tech Jobs & Startup Jobs

Design, develop, test, and maintain scalable full-stack enterprise applications using .NET, Angular, React, SQL Server, microservices, APIs, Azure, Docker, and Kubernetes. Build secure, high-performance solutions, maintain CI/CD pipelines, develop AI-powered applications, troubleshoot production issues, and implement automated testing. Collaborate in Agile teams, participate in architecture and code reviews, monitor system performance, and mentor junior developers while contributing to engineering standards and continuous improvement.

Manage end-to-end clinical and non-clinical IT projects for healthcare clients, including scope definition, planning, resource allocation, risk mitigation, stakeholder communication, compliance documentation, and status reporting. Lead cross-functional teams, serve as the primary client contact, mentor team members, and ensure timely project delivery aligned with healthcare regulations and organizational objectives.

Leads healthcare quality measurement consulting, including analyzing claims and EHR data, developing and implementing CMS quality measures, writing technical specifications, automating calculations, and conducting quantitative analyses. Manages project delivery teams, supports proposals and business development, advises clients on health policy, and mentors technical staff. The role focuses on Medicare and Medicaid payment models, eCQMs, clinical data, and federal quality measurement requirements.

Design, develop, test, deploy, monitor, and maintain secure, scalable software components and services. Own complex features end to end, shape architecture and APIs, implement CI/CD and quality automation, diagnose production issues, and improve observability and reliability. Lead risk-based testing across multiple levels, apply governed AI-assisted development, integrate LLM and agentic capabilities where valuable, mentor engineers, conduct technical reviews, and promote engineering standards and continuous delivery improvements.

Leads Salesforce development teams and provides architecture, technical direction, code review, and mentoring. Designs and delivers scalable Sales Cloud, Service Cloud, and CPQ solutions using Apex, LWC, and Flow. Manages integrations through REST/SOAP APIs and middleware, drives governance, security, performance, Agile delivery, CI/CD, testing, deployment, documentation, and issue resolution.

Build and mature the cyber threat intelligence program by collecting and analyzing threat data, monitoring adversary activity, conducting threat hunts, producing intelligence reports, and supporting incident response. Translate intelligence into detection logic, assess vulnerability exploitation risks, advise security teams, map behaviors to MITRE ATT&CK, support red and purple team exercises, research emerging threats, and brief technical, business, and executive stakeholders.

Design, develop, test, deploy, monitor, and maintain full-stack production software using Java, Python, APIs, services, data workflows, and cloud-native components. Build automated testing and CI/CD quality gates, apply secure and maintainable engineering practices, improve observability and operational reliability, modernize legacy systems, and collaborate across product, architecture, security, data, and operations teams. Use approved AI-assisted development tools responsibly throughout the software delivery lifecycle.

Lead design and delivery of scalable, secure cloud-native AI platforms and agentic AI solutions. Own end-to-end AI service lifecycle, optimize backend performance, deploy mission-critical AI workloads, collaborate with product/security/governance teams, and mentor junior engineers.

Design, build, and deploy AI/ML and generative AI solutions and full-stack applications. Develop frontend experiences, backend services, microservices, APIs, and cloud-native data integrations. Implement RAG, LLMs, vector DBs, dashboards, reporting, and self-service analytics to support quality, patient safety, and workflow automation. Provide technical leadership, mentor engineers, and apply CI/CD, testing, observability, security, and performance best practices.

Lead design, prototyping, and deployment of enterprise AI solutions (Generative/Agentic AI, LLMs, digital workers). Partner with business and engineering to scale AI, establish governance/responsible AI practices, and drive automation and measurable outcomes across platforms.