Top Tech Jobs & Startup Jobs

Designs, develops, troubleshoots, and maintains databases, software applications, data workflows, pipelines, and scalable data platforms. Leads technical teams, develops metrics and reporting products, documents technical work, trains users, and supports mission-critical analytics initiatives. The role requires expertise in Python, R, or SQL; knowledge of Naval Aviation maintenance and supply systems; and the ability to support classified work under a Secret clearance.

Develop production-ready full-stack web applications from concept through deployment. Build responsive React interfaces, design maintainable application architectures, integrate REST APIs, and use Git, CI/CD, automated testing, and Agile practices. Translate mission needs and user workflows into effective solutions, identify system improvements, and consider current and future architecture. Secret clearance and a high school diploma or GED are required.

Develop, manage, and secure container platforms and cloud environments. Build and maintain infrastructure CI/CD pipelines, Git-based change control, automation, validation, testing, and release processes. Support container orchestration, advise clients on secure cloud adoption, recommend infrastructure resources, and contribute to platform strategy and design while maintaining technical standards.

Design, build, and maintain scalable data platforms and pipelines using Python and SQL. Migrate and integrate on-premises data to cloud environments, implement CI/CD workflows, apply data modeling and governance practices, and support metadata tagging and access controls. Collaborate with analysts, AI engineers, developers, and stakeholders while providing technical guidance and mentoring in a complex enterprise environment.

Leads enterprise IT transitions for mergers, acquisitions, divestitures, and technology integrations. Establishes repeatable diligence, readiness, governance, and post-close integration practices; manages Day 1 through stabilization, risks, dependencies, cutover, testing, communications, and executive reporting. Partners with corporate development, CIO leadership, and business stakeholders while leading and developing transition teams.

Designs, builds, operates, secures, and modernizes cloud infrastructure across AWS, GovCloud, and Azure. Responsibilities include multi-account networking, infrastructure as code, CI/CD automation, container and Kubernetes management, cloud cost optimization, billing analysis, financial controls, and infrastructure security. The role collaborates with cloud architects, engineers, stakeholders, and clients to deliver managed platforms and mission-critical technical solutions.

Design enterprise web applications and self-service cloud platform experiences through user research, service design, information architecture, wireframing, prototyping, and interface design. Create complex workflows, design systems, and build-ready specifications while collaborating with product managers, engineers, and senior leaders. Use AI design and coding assistants responsibly, validate outputs, and advocate for user-centered improvements.

Implements validated AI solutions for customers by integrating enterprise systems, configuring environments, adapting agent workflows, and deploying applications. Establishes evaluation baselines, instrumentation, and technical acceptance criteria; troubleshoots model, retrieval, integration, latency, and cost issues. Prepares deployment, rollback, runbook, and knowledge-transfer materials, coordinates readiness reviews, manages dependencies, and hands off accepted solutions to operations and Customer Success. Returns reusable improvements and recurring defects to engineering.

Implement validated AI solutions for customers by integrating enterprise systems, configuring environments, adapting agent workflows, and meeting technical acceptance criteria. Diagnose retrieval, model, workflow, and integration issues using instrumentation, traces, logs, and metrics. Build evaluation suites, coordinate readiness reviews, prepare deployment and rollback materials, and hand off solutions to operational owners and Customer Success. Feed reusable improvements and recurring defects back to engineering.

Leads technical discovery for agentic AI opportunities, qualifies customer use cases, designs workflows and architectures, and builds demonstrations or proofs of concept. Assesses data, integration, infrastructure, security, and implementation requirements; defines acceptance criteria and success measures; explains limitations, guardrails, and observability; validates feasibility with engineering teams; and transitions accepted solutions to delivery and customer success teams.