Senior Platform Engineer, AI Applications

🕒 October 10

☕ Washington – Remote

☕ Washington – Remote

💵 $180k - $220k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 6%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Improvix Technologies

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

🏛️ Government

🔒 Cybersecurity

Consulting • Government • Cybersecurity

Improvix Technologies is a U. S. -focused IT services and consulting firm that partners with federal agencies to deliver mission-aligned solutions across Data & AI, Application Services, Cloud & Infrastructure, and Cybersecurity. The company emphasizes regulatory compliance, security engineering, DevSecOps, cyber analytics, data engineering, and enterprise monitoring, and operates an innovation lab (IPX CREATE) to develop next‑generation capabilities for national security customers. Improvix positions itself as a trusted partner delivering measurable mission value while upholding values of Respect, Honesty, Integrity, and Performance.

📋 Description

• Design, build, and maintain backend services and APIs in Python, Java, Go, or TypeScript • Build front-end components or internal tooling when needed • Maintain code quality through code reviews, automated testing, and shared engineering standards • Design services with timeouts, retries, idempotency, and resilient dependency-failure behavior • Build and maintain integrations with ServiceNow, enterprise data platforms, and internal APIs using REST, messaging, and event-driven patterns • Integrate services with enterprise identity providers using OAuth 2.0, OIDC, and SAML • Provide technical detail for cross-team requests and execute engineering work after dependencies clear • Build and own CI/CD pipelines with automated build, testing, security scanning, and deployment • Embed SAST, DAST, dependency and container scanning, secrets management, and least-privilege access • Own ATO work, including control evidence, STIG or equivalent hardening, and remediation of findings • Turn AI Solutions Architect designs into production LLM-backed services, RAG features, and model API integrations • Build prompt and configuration management, evaluation hooks, guardrails, and usage/cost tracking • Monitor AI features for quality, latency, cost, and safety and tune them as usage grows • Deploy and run services in AWS or Azure government regions using infrastructure as code and containers on Kubernetes or managed equivalents • Build observability with logging, metrics, tracing, alerting, and dashboards • Break capabilities into deliverable increments, estimate work, and surface risks and dependencies • Write runbooks, technical documentation, and handoff material • Lead post-incident fixes for owned capabilities

🎯 Requirements

• 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 • Track record designing RESTful APIs and services other systems depend on • Hands-on experience integrating with enterprise platforms such as ServiceNow or a comparable system through APIs, messaging, or event streaming • Identity integration experience with OAuth 2.0 and OIDC or SAML, using an enterprise identity provider such as Entra ID, Okta, or Keycloak • Experience building and maintaining CI/CD pipelines with integrated security scanning • Hands-on ATO or equivalent compliance work, including control evidence, system hardening, and remediation of findings • At least one AI or ML capability delivered to production, such as an LLM-backed service, RAG feature, or model integration • Working experience deploying to AWS or Azure with infrastructure as code and containers • Experience building observability into systems and supporting them in production, including incident response • Ability to work independently on a remote team and explain technical tradeoffs to technical and non-technical stakeholders • Bachelor's degree in a technical field, or an equivalent combination of education and directly relevant experience • U.S. citizenship • Active Secret clearance • Availability during East Coast business hours • Bonus: ServiceNow IntegrationHub, MID Server, Scripted REST APIs, or Flow Designer • Bonus: AWS GovCloud or Azure Government deployment experience • Bonus: FedRAMP, NIST 800-53, and RMF familiarity • Bonus: Amazon Bedrock, Azure OpenAI, vector databases, or LLM frameworks • Bonus: LLM evaluation or guardrail tooling • Bonus: AI-agent tools, tool-calling, or Model Context Protocol integrations • Bonus: CompTIA Security+, another DoD 8140 baseline, AWS or Azure certification, or CKAD • Bonus: Federal or defense customer experience in a cleared environment

🏖️ 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

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