AI Platform & DevSecOps Engineer

Simple Technology Solutions is hiring an AI Platform & DevSecOps Engineer to build and operate secure, compliant AWS environments, CI/CD pipelines, and AI platform tooling for federal settings. The role also manages releases, security and compliance evidence, observability, and AWS platform engineering for client engagements.

Responsibilities:

• Design, build, and maintain the STS standard environment set (DEV and TST in a nonproduction account, STG and PRD in a production account) on AWS using Terraform and reusable infrastructure modules
• Build and operate CI/CD pipelines in GitHub Actions or the client's equivalent that enforce the STS SDLC gates, including automated test execution, coverage thresholds, security scanning, and promotion approvals between environments
• Serve as the team's release manager, orchestrating the release-management agents and skills, coordinating releases across environments, and maintaining release notes and rollback procedures
• Secure AI workloads on AWS, including Amazon Bedrock guardrails, model access controls, IAM least-privilege design, data encryption, logging, and network isolation for sensitive data
• Generate and maintain security and compliance evidence for federal frameworks such as FedRAMP, NIST 800-53, and CJIS, and support the client's ATO and continuous-monitoring processes
• Implement observability for AI applications, including application and model-call tracing, evaluation metrics, cost monitoring, and alerting across all environments
• Stand up and administer the team's AI development tooling, including Claude Code accounts and configuration, shared agent and skill repositories, and the connections between Jira, GitHub, and the pipelines
• Provide AWS platform engineering on client engagements that run on AWS-native services, including landing zones, account structure, and well-architected reviews
• Automate everything that sits between requirements and end-to-end testing, so that human effort concentrates on those two bookends of the lifecycle
• Document the platform, runbooks, and standards as reusable parts of the STS SDLC, and coach engineers on using them

Requirements:

• US Citizenship and the ability to obtain and maintain a Public Trust clearance are required
• Bachelor's Degree is required
• Minimum of 8 years' position related experience is required
• AWS Certified Solutions Architect – Associate or AWS Certified DevOps Engineer – Professional
• Claude Certified Developer – Foundations (CCDV-F) or Claude Certified Associate – Foundations (CCAO-F)
• Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or a related technical field, or equivalent professional experience in addition to the minimum below
• Minimum of 8 years of professional experience in DevOps, platform, cloud, or site-reliability engineering, including at least 4 years on AWS and at least 2 years supporting generative AI or machine-learning workloads
• Demonstrated experience delivering infrastructure as code with Terraform and CI/CD pipelines for a multi-environment application
• Experience supporting a federal or regulated system through an authorization process such as FedRAMP, RMF/ATO, or CJIS compliance
• Expert-level Terraform and AWS skills, including multi-account organization, IAM, VPC networking, KMS, CloudWatch, CloudTrail, and Security Hub
• Hands-on experience securing and operating Amazon Bedrock and related AI services, including guardrails, model access, and usage and cost controls
• Strong CI/CD skills with GitHub Actions (or equivalent), automated testing integration, container builds, and artifact and secrets management
• Working knowledge of Python or TypeScript sufficient to write automation, pipeline steps, and platform tooling
• Familiarity with Claude Code, agentic development tooling, and administering AI accounts and shared configuration for a team
• Security-minded by default while still optimizing for developer speed; treats friction in the pipeline as a bug
• Calm and methodical under release pressure, with strong attention to detail in evidence and change control
• Self-directed and comfortable owning outcomes on a small, senior team where everyone contributes across the lifecycle
• Curious and current on AI tooling; treats AI assistants as part of the team and holds their output to the same standard as human work
• Clear, candid communicator with federal clients and teammates; writes well and documents as a habit
• Bias toward fast delivery and early user feedback over conservative gating; learns from failure quickly
• AWS Solutions Architect (Associate) or DevOps Engineer (Professional) certification
• Candidates living in the DC Metro region (within driving distance for quarterly in-person team events) are strongly preferred
• residence in a HUBZone is favored for remote candidates
• AWS Certified Security – Specialty
• HashiCorp Certified: Terraform Associate
• CompTIA Security+ or CISSP
• Certified Kubernetes Administrator (CKA)