Senior Platform Engineer, AI Applications

This is a fully remote position, open to applicants in Washington.

📋 Description

• Design, develop, and support backend services and APIs using Python, Java, Go, or TypeScript.

• Create front-end components or internal tools as necessary.

• Ensure code quality by conducting code reviews, implementing automated testing, and adhering to shared engineering standards.

• Architect services with features like timeouts, retries, idempotency, and robust dependency-failure handling.

• Develop and sustain integrations with ServiceNow, enterprise data platforms, and internal APIs utilizing REST, messaging, and event-driven patterns.

• Connect services with enterprise identity providers through OAuth 2.0, OIDC, and SAML.

• Provide technical insights for cross-team requests and carry out engineering tasks once dependencies are resolved.

• Create and manage CI/CD pipelines with automated build processes, testing, security scanning, and deployment.

• Incorporate SAST, DAST, dependency and container scanning, secrets management, and least-privilege access strategies.

• Oversee ATO activities, including control evidence, STIG or equivalent hardening, and addressing findings.

• Transform AI Solutions Architect designs into production-ready LLM-backed services, RAG features, and model API integrations.

• Develop prompt and configuration management, evaluation hooks, guardrails, and usage/cost monitoring.

• Monitor AI features for quality, latency, costs, and safety, making adjustments as usage increases.

• Deploy and manage services in AWS or Azure government regions using infrastructure as code and containers on Kubernetes or equivalent managed services.

• Establish observability with logging, metrics, tracing, alerting, and dashboards.

• Break down capabilities into deliverable increments, estimate work, and identify risks and dependencies.

• Write runbooks, technical documentation, and handoff materials.

• Lead post-incident remediation for the capabilities you own.

⛳️ Requirements

• A minimum of 8 years of software engineering experience, including at least 3 years of experience in building and managing production services end to end.

• Strong programming skills in at least one backend language: Python, Java, Go, or TypeScript.

• Proven experience designing RESTful APIs and services relied upon by other systems.

• Hands-on experience integrating with enterprise platforms like ServiceNow or a similar system through APIs, messaging, or event streaming.

• Experience in identity integration using OAuth 2.0 and OIDC or SAML, with an enterprise identity provider such as Entra ID, Okta, or Keycloak.

• Proven experience in building and maintaining CI/CD pipelines that include integrated security scanning.

• Hands-on experience with ATO or equivalent compliance tasks, including control evidence, system hardening, and resolution of findings.

• At least one AI or ML capability delivered to production, such as an LLM-backed service, RAG feature, or model integration.

• Experience with deployments to AWS or Azure using infrastructure as code and containers.

• Proven ability to build observability into systems and support them in production, including incident response.

• Capability to work independently within a remote team and effectively communicate technical tradeoffs to both technical and non-technical stakeholders.

• Bachelor's degree in a technical discipline, or an equivalent mix of education and relevant experience.

• U.S. citizenship is required.

• Active Secret clearance required.

• Must be available during East Coast business hours.

• Bonus: Experience with ServiceNow IntegrationHub, MID Server, Scripted REST APIs, or Flow Designer.

• Bonus: Familiarity with AWS GovCloud or Azure Government deployment.

• Bonus: Knowledge of FedRAMP, NIST 800-53, and RMF frameworks.

• Bonus: Experience with Amazon Bedrock, Azure OpenAI, vector databases, or LLM frameworks.

• Bonus: Experience with LLM evaluation or guardrail tooling.

• Bonus: Familiarity with AI-agent tools, tool-calling, or Model Context Protocol integrations.

• Bonus: CompTIA Security+, another DoD 8140 baseline certification, AWS or Azure certification, or CKAD.

• Bonus: Experience with federal or defense customers in a cleared environment.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• 401(k) plan with company matching contributions.

• Three weeks of paid annual leave, increasing with tenure.

• Comprehensive medical, dental, and vision insurance coverage.

• Life insurance and disability benefits.

• Transit and commuting assistance.

• Opportunities for professional development and paid training.