AI Platform & DevSecOps Engineer

simpletechnologysolutions; Washington (District of Columbia); Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

HUBZone incentives for eligible areas

Remote work with occasional travel

Job summary

Simple Technology Solutions is seeking an AI Platform & DevSecOps Engineer to own environments, pipelines, and controls for AI teams in federal settings. You will build and operate DEV, TST, STG, and PRD environments on AWS using Terraform, automate CI/CD gates, and act as release manager to ensure secure, observable, and cost-controlled AI workloads.

Responsibilities include securing workloads, generating compliance evidence, implementing observability, and coaching engineers on reusable

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or a related technical field, or equivalent professional experience in addition to the minimum below

Responsibilities

• Owns environments, pipelines, and controls for STS AI team on AWS
• Builds and operates DEV/TEST/STG/PRD environments with Terraform
• Automates CI/CD gates and release management processes
• Ensures security, compliance evidence, and observability across environments
• Supports client engagements on AWS-native services

Skills

Citizenship clearance

Public Trust readiness

Security mindset

Mentorship & leadership

Education

Bachelor's degree in CS/IS/Cybersecurity or related field

Tools

Terraform

AWS

GitHub Actions

CI/CD

Job description

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 & DevSecOps Engineer to add to our team.

Quick Position Overview:

• 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 DevOps 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 Role:

The AI Platform & DevSecOps 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.

The AI Platform & DevSecOps Engineer at STS will:

• 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.

Education and Experience:

Required

• 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,