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Trase Systems

Platform for deploying autonomous enterprise AI

Senior/Staff Full Stack Software Engineer - Federal

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • U.S. citizenship is required.
  • At least 10 years of software engineering experience, including shipping and supporting production applications, with scope and technical leadership appropriate to Senior or Staff level.
  • At least 5 years of hands-on full-stack development spanning modern web frontends, backend services, APIs, and databases.
  • Strong frontend skills with TypeScript/JavaScript and React, Next.js, or comparable frameworks, including state management, API integration, and accessible user experiences.
  • Strong backend engineering skills in Python, TypeScript/Node.js, Go, Java, or a similar language, including API design, service integration, validation, and error handling.
  • Experience designing data models and working with relational databases, migrations, caching, and asynchronous or event-driven processing.
  • Experience implementing authentication, authorization, secure API access, secrets handling, and audit logging in production applications.
  • Hands-on experience with automated testing, code review, Git, containers, CI/CD, and deploying or troubleshooting applications in cloud or Kubernetes environments.
  • Ability to debug across browser, service, API, and data layers using logs, metrics, and traces, and to own issues through validated resolution.
  • Strong technical judgment, clear written and verbal communication, and experience translating ambiguous customer requirements into maintainable solutions and useful documentation.
  • Experience using AI-assisted engineering tools to improve implementation, testing, troubleshooting, or code review, with careful validation of resulting changes.

Responsibilities

  • Build full-stack features for RCF/RCP partners, from responsive user interfaces and administrative tools to backend services, data models, and production integrations.
  • Work directly with partner engineers and Product to clarify use cases, reproduce issues, define acceptance criteria, and deliver small increments; surface scope, dependencies, and risks with the TPM before committing dates.
  • Integrate partner applications and agents with Trase OS APIs and SDKs, external APIs, MCP tools, and model-provider endpoints; provide working examples and integration documentation.
  • Build reliable agent and workflow integrations, including asynchronous execution, event streaming, state handling, retries, timeouts, and error recovery, preserving correctness and data integrity across failures.
  • Create interfaces for configuring agents, managing connections and policies, reviewing runs, and inspecting logs, traces, costs, and audit history; make failures and recovery actions understandable to users.
  • Implement authentication, authorization, role-based access, secrets integration, and audit events across frontend and backend services; partner with Governance, Risk and Compliance on application security findings and engineering evidence for applicable federal requirements.
  • Adapt application configuration and dependencies for customer-managed cloud, private-network, and on-premises environments; work with DevOps/SRE on packaging, deployment prerequisites, and end-to-end validation.
  • Own quality through code reviews, unit and integration tests, end-to-end tests, representative workflow evaluations, and regression coverage; verify application behavior in the target environment before partner handoff.
  • Diagnose and resolve partner-reported defects across the user interface, APIs, SDK, data stores, and runtime services; add telemetry, support incident investigations, and validate fixes with partners.
  • Support releases, upgrades, and ongoing application maintenance, including federal deployments such as Second Front where applicable; review and integrate partner contributions, maintain API/SDK compatibility, and coordinate security fixes with platform and DevOps/SRE owners.
  • Document architecture, setup, known limitations, and troubleshooting steps; provide partner walkthroughs and knowledge transfer; share reusable solutions with the platform team and mentor other engineers.

Desired Qualifications

  • Prior full-stack software engineering experience supporting national security, defense, federal agencies, or other government programs.
  • An active U.S. government security clearance.
  • Experience with federal application security and delivery requirements, such as STIG hardening, NIST controls, RMF/ATO evidence, FedRAMP, or DoD impact-level environments.
  • Experience integrating identity providers such as Keycloak using OAuth/OIDC, or implementing fine-grained access and sensitive-data controls.
  • Experience building AI/LLM applications, agent integrations, RAG, tool/MCP connections, evaluations, or workflow systems such as Temporal.
  • Customer-facing or forward-deployed engineering experience across multiple partner organizations, including onboarding, technical handoffs, and ongoing support.
  • Experience adapting applications for government cloud, restricted-network, or on-premises deployments, including Second Front or comparable federal delivery platforms.

About the Company

Trase Systems

Platform for deploying autonomous enterprise AI

Trase Systems provides an enterprise AI platform that enables large organizations to deploy, manage, and optimize autonomous AI agents. It offers an end-to-end, model-agnostic solution with an agent builder, multi-agent orchestration, and full observability, designed to automate complex administrative workflows in regulated sectors such as healthcare, national security, and energy. The platform can run across cloud, on-premises, or air-gapped environments to support sensitive workloads, with SOC 2 and HIPAA compliance. Trase differentiates itself through a shared-savings business model (no upfront costs) and a focus on measurable efficiency gains from AI agents, lowering barriers to ROI while ensuring enterprise-grade governance and security. Its goal is to simplify AI adoption for large organizations by addressing the “last mile” of AI implementation and delivering practical, auditable automation at scale.

Company size
11-50
Company stage
Seed
Total funding
$107M
Headquarters
Not listed
Founded
2023

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