AI Platform & DevSecOps Engineer

At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they’re parents, friends, volunteers, artists, and athletes. That’s why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients.

Our culture is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a “Best Place to Work,” we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS, taking care of our people isn’t a perk—it’s the standard.

As a HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify!

Simple Technology Solutions is looking for an
AI Platform & Dev Sec Ops  Engineer to add to our team.

• 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 Solutions Architect (Associate) or Dev Ops Engineer (Professional) certification preferred for hire; the AWS and Anthropic Claude certifications listed under Required Certifications must be earned within 12 months of hire
• Remote position with occasional travel to client sites and STS events
• Candidates living in the DC Metro region (within driving distance for quarterly in-person team events) are strongly preferred; STS is a HUBZone company, so residence in a HUBZone is favored for remote candidates

The AI Platform & Dev Sec Ops  Engineer owns the environments, pipelines, and controls that let an STS AI team move fast safely in federal settings. You build and operate the standard DEV, TST, STG, and PRD environments with Terraform, automate the CI/CD gates that enforce the STS SDLC, and act as the team's release manager. Success looks like releases that are routine and boring, security and compliance evidence that is generated by the pipeline rather than assembled by hand, and AI services that are guarded, observable, and cost-controlled.

Because many federal contracts ask for this skill set by name, you also support client engagements that run entirely on AWS-native services.

• Design, build, and maintain the STS standard environment set (DEV and TST in a non-production account, STG and PRD in a production account) on AWS using Terraform and reusable infrastructure modules.
• Build and operate CI/CD pipelines in Git Hub 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, Git Hub, and the pipelines.
• Prov…