Senior Platform Engineer, AI Applications

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

📋 Description

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

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

• Ensure code quality through code reviews, automated testing, and adherence to shared engineering standards.

• Architect services incorporating timeouts, retries, idempotency, and robust dependency management.

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

• 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 maintain CI/CD pipelines featuring automated builds, testing, security scanning, and deployment.

• Implement SAST, DAST, dependency scanning, container scanning, secrets management, and least-privilege access protocols.

• Manage ATO efforts, control evidence, STIG or similar hardening, and remediation of issues.

• Translate AI architecture designs into operational LLM-backed services, RAG features, and model integrations.

• Oversee prompts and configurations, evaluation hooks, guardrails, usage tracking, and cost management.

• Monitor and optimize AI features for quality, latency, cost, and safety.

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

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

• Decompose capabilities into deliverable increments, estimate tasks, and highlight risks and dependencies.

• Create runbooks, technical documentation, and handoff materials.

• Lead post-incident resolution for owned capabilities.

⛳️ Requirements

• Over 8 years of software engineering experience, including a minimum of 3 years in building and managing production services from start to finish.

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

• Proven experience in designing RESTful APIs and services.

• Practical experience integrating with enterprise platforms like ServiceNow or similar systems.

• Experience in identity integration using OAuth 2.0 and OIDC or SAML, with enterprise identity providers like Entra ID, Okta, or Keycloak.

• Background in building and maintaining CI/CD pipelines with integrated security scanning.

• Hands-on experience with ATO or equivalent compliance efforts, including control evidence, system hardening, and remediation.

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

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

• Familiarity with observability and managing production incident responses.

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

• Bachelor’s degree in a technical discipline or an equivalent combination of education and relevant experience.

• U.S. citizenship and an active Secret clearance.

• Availability 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 deployments.

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

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

• Bonus: Understanding of LLM evaluation or guardrail tooling.

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

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

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

🏝️ Benefits

• Competitive salary and performance-driven incentives.

• 401(k) plan with company matching.

• Three weeks of paid annual leave that increases with tenure.

• Comprehensive medical, dental, and vision insurance plans.

• Life insurance and disability coverage.

• Transit and commuting benefits.

• Opportunities for professional development and paid training.