[Hiring] Senior Platform Engineer @Improvix Technologies

Role Description

Improvix Technologies is hiring a Senior Platform Engineer to build and own the application services, APIs, and enterprise integrations that turn a federal data and AI program into working capability. You’ll take capabilities from design through production — through the security pipeline and the authorization process — and you’ll own what you build after it goes live.

• This is a hands-on software engineering role, and it’s fully remote.
• The team already has deep AI and data expertise in an AI Solutions Architect, platform and agent infrastructure depth in a Senior Agentic Platform Engineer, and a Technical Delivery & Integration Lead who clears the path across partner teams.
• What it needs is the engineer who builds and connects the services between them.

Qualifications

• 8+ years of software engineering experience, including 3+ years building and owning production services end to end.
• Strong programming ability in at least one backend language — Python, Java, Go, or TypeScript — and a track record designing RESTful APIs and services other systems depend on.
• Hands-on experience integrating with enterprise platforms — ServiceNow or a comparable system — through APIs, messaging, or event streaming.
• Identity integration experience: OAuth 2.0 and OIDC (or SAML), working with an enterprise identity provider such as Entra ID, Okta, or Keycloak.
• Experience building and maintaining CI/CD pipelines — GitLab CI, GitHub Actions, Azure DevOps, or Jenkins — with integrated security scanning.
• Hands-on ATO or equivalent compliance work: producing control evidence, hardening systems to a baseline, and remediating findings.
• At least one AI or ML capability delivered to production — an LLM-backed service, a RAG feature, or a model integration — not a notebook and a demo.
• Working experience deploying to AWS or Azure with infrastructure as code (Terraform, CloudFormation, or Bicep) and containers (Docker and Kubernetes or a managed equivalent).
• Experience building observability into systems and supporting them in production, including incident response.
• The ability to work independently on a remote team and explain a technical tradeoff to engineers and non-technical stakeholders alike.
• Bachelor’s degree in a technical field, or an equivalent combination of education and directly relevant experience.
• U.S. citizenship and an active Secret clearance.
• Availability during East Coast business hours to stay in sync with the program.

Requirements

• Build and maintain backend services and APIs in Python, Java, Go, or TypeScript.
• Hold the line on code quality through reviews, automated testing, and shared engineering standards.
• Design services for failure: timeouts, retries, idempotency, and clear behavior when a dependency is down.
• Build and maintain integrations with ServiceNow, enterprise data platforms, and internal APIs.
• Integrate services with enterprise identity providers using OAuth 2.0, OIDC, and SAML.
• Build and own CI/CD pipelines with automated build, test, security scanning, and deployment.
• Embed security across the lifecycle: SAST and DAST, dependency and container scanning, secrets management, and least-privilege access.
• Turn designs from the AI Solutions Architect into production features.
• Deploy and run services in AWS or Azure, using infrastructure as code and containers.
• Break capabilities into deliverable increments, estimate honestly, and surface risks and dependencies.
• Write the runbooks, technical documentation, and handoff material that let someone else support what you built.
• Lead post-incident fixes for the capabilities you own.

Benefits

• Competitive compensation and performance-based incentives.
• 401(k) with company match.
• Three weeks of paid annual leave that increases with tenure.
• Comprehensive medical, dental, and vision insurance.
• Life insurance and disability coverage.
• Transit and commuting benefits.
• Professional development and paid training opportunities.