Top Tech Jobs & Startup Jobs

Lead and scale engineering across a 100+ person federal digital modernization portfolio. Establish technical standards, guide talent and career development, support technical leads, drive architecture and modernization strategy, and improve tooling and delivery. Partner with program leaders and government clients, contribute to proposals and capture efforts, and provide technical thought leadership across AI/ML, cloud engineering, Agile delivery, and DevSecOps.

Owns full-lifecycle federal capture efforts from opportunity qualification through post-submittal. Develops capture plans, win themes, competitive positioning, and price-to-win strategies; leads SWOT and Black Hat reviews; coordinates business development, solutions, pricing, proposal, engineering, and program teams; manages teaming partners; reports pipeline and bid health to executives; and uses AI-enabled tools to improve capture research and solution development.

Build and maintain CI/CD pipelines, deployment automation, and cloud infrastructure across Azure and AWS. Manage observability with Datadog or Dynatrace, improve incident response and MTTR, provision infrastructure with Terraform, and develop automation scripts using Python, Bash, or PowerShell. Collaborate across VA engineering programs, improve platform stability, mentor junior engineers, and establish DevOps standards in a remote Agile environment.

Manage a large-scale federal Medicare Part A claims processing program for CMS. Serve as the primary government and contractor contact, oversee staffing, costs, schedules, performance reporting, risks, dependencies, O&M, and modernization workstreams. Build stakeholder relationships, represent the company in program meetings, and coordinate Agile delivery, sprint planning, and releases across matrixed teams.

Owns the technical integrity and evolution of a Medicare claims processing system running on a large COBOL mainframe. Defines architecture standards, reviews technical decisions, guides AWS and API integrations, ensures safe CICS and VSAM changes, and serves as the technical escalation point. Collaborates with Java modernization engineers and communicates across technical and non-technical teams.

Build and maintain low-code solutions with Microsoft Power Platform, PowerApps, and Power Automate for federal modernization efforts. Support frontend and backend development, translate ambiguous requirements into working products, troubleshoot complex issues, participate in code reviews, and collaborate with product managers, designers, and stakeholders in a remote Agile environment.

Build and maintain React and TypeScript interfaces, Go backend services, APIs, and GraphQL integrations for federal healthcare policy tools. Collaborate on API contracts, write tested and accessible code, participate in reviews and Agile ceremonies, and work cross-functionally in a remote environment. The role requires familiarity with Docker, Git, Cypress, relational databases, federal accessibility standards, and regulated environments.

Design, build, and iterate on software ranging from prototypes to production systems. Collaborate with architects, designers, product partners, and engineers across evolving problem spaces. Develop and integrate generative AI applications, evaluate emerging technologies, write tested and maintainable code, contribute to architecture, and mentor less senior engineers. Apply security, privacy, and accessibility principles when handling sensitive or regulated data.

Leads Oddball Labs’ technical vision and engineering team, establishes architecture standards, partners with product and leadership, and delivers scalable, reliable products. Responsibilities include hands-on technical leadership, roadmap development, agile experimentation, production deployments, infrastructure and CI/CD oversight, team growth, and support for sales efforts. The role requires expertise in cloud platforms, microservices, distributed systems, security, observability, and technical leadership, with federal systems and AI/ML experience preferred.

Design, develop, deploy, and iterate production machine learning and generative AI solutions. Responsibilities include model development, NLP, prediction, anomaly detection, LLM and RAG integration, data pipelines, feature engineering, evaluation, monitoring, API integration, and architecture decisions. The role collaborates cross-functionally to balance accuracy, latency, cost, scalability, and maintainability.