Top Tech Jobs & Startup Jobs

Build and maintain reusable React components, forms, and shared libraries for VA.gov. Extend the VA Design System, fix bugs, write automated tests and Storybook documentation, and ensure accessible implementation meeting Section 508 and WCAG 2.2 AA standards. Collaborate with designers and engineers to translate Figma designs into code, participate in code reviews and Agile ceremonies, and use AI-assisted development tools to improve delivery quality.

Leads the migration of legacy data warehouses and pipelines to an Azure and Databricks lakehouse. Defines technical architecture, reusable Azure Data Factory and Databricks pipelines, reconciliation methods, quality gates, and performance solutions. Mentors data engineers, reviews technical work, and collaborates with product, QA, platform, and customers in a remote Agile environment.

Build and secure CI/CD pipelines for an enterprise data platform in a cloud environment, preferably Azure. Responsibilities include automated security scanning, policy enforcement, secrets and credential management, Zero Trust implementation, infrastructure as code, continuous compliance, ATO evidence collection, and collaboration with cloud, data, governance, and security teams. The role is fully remote and contingent on contract award.

Administer enterprise data platforms and infrastructure, including Tableau Server, MOVEit, Linux, Windows Server, and AWS GovCloud environments. Manage configurations, access controls, provisioning, patching, monitoring, logging, troubleshooting, documentation, and operational sustainment. Collaborate with data engineers and analysts while supporting RMF- and NIST-aligned security and compliance activities in a remote Agile environment.

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 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.

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.