AI Platform & DevSecOps Engineer

Simple Technology Solutions, LLC; Washington (District of Columbia); Remoto; USD 150.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health, dental, vision insurance

401(k) retirement plan

Work from home stipend

Unlimited PTO

Paid holidays

Dev budget for training/certs

Descrizione del lavoro

Simple Technology Solutions, LLC is seeking an AI Platform & DevSecOps Engineer to own environments, pipelines, and controls for federal projects. You will build and run standard DEV/TST environments in AWS using Terraform, and automate gates in the SDLC while maintaining security and cost controls.

Remote position with occasional travel to client sites and STS events; DC Metro region preferred. 8+ years of related experience with AWS, DevOps, and AI workloads is required, along with US

Competenze

• Bachelor's degree or equivalent professional experience in a technical field.
• Minimum 8 years of professional experience in DevOps/platform engineering with 4+ years on AWS and 2+ years with AI/ML workloads.
• Infra as code with Terraform and CI/CD pipelines across multi-environments.
• Experience supporting federal or regulated systems and compliance like FedRAMP/JMIS/CJIS.

Mansioni

• Design, build, and maintain STS standard environments (DEV/TST; STG/PRD) on AWS with Terraform.
• Build and operate CI/CD pipelines with automated tests, security scanning, and promotion approvals.
• Serve as release manager, coordinate releases, maintain release notes and rollback procedures.
• Secure AI workloads on AWS with guardrails, access controls, and cost controls.
• Generate security/compliance evidence for FedRAMP/NIST 800-53/CJIS and support ATO/continuous monitoring.
• Implement observability with tracing, metrics, cost monitoring, and alerting.
• Manage AI development tooling (Claude Code) and integration with Jira, GitHub, and pipelines.
• Provide AWS platform engineering on client engagements using landing zones and well-architected reviews.

Conoscenze

AWS

Terraform

CI/CD

GitHub Actions

Python/TypeScript

Security

Release management

Observability

Formazione

Bachelor's degree

Strumenti

Claude Code

Jira

GitHub

Bedrock

CloudWatch

Descrizione del lavoro

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 anAI 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, 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

Required Certifications (to be earned within 12 months of hire)

• AWS Certified Solutions Architect – Associate or AWS Certified DevOps Engineer – Professional
• Claude Certified Developer – Foundations (CCDV-F) or Claude Certified Associate – Foundations (CCAO-F)

Preferred Certifications

• AWS Certified Security – Specialty
• HashiCorp Certified: Terraform Associate
• CompTIA Security+ or CISSP

What We Offer:

• Competitive compensation package
• Comprehensive health, dental, and vision insurance plans
• Professional development and training
• Performance-based incentives
• 401(k) retirement savings plan
• Work from home stipend
• Unlimited PTO
• Paid holidays
• Professional development budget to be used for training and certifications

STS is committed to equal employment opportunity and merit-based employment practices. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in all employment practices and decisions in accordance with applicable federal, state, and local laws.

Employment decisions at STS are based on individual qualifications, performance, skills, and business needs, without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation, gender identity, genetic information, marital status, or any other status protected by applicable law.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, compensation, training, transfer, discipline, termination, layoff, recall, and leaves of absence.

As set forth in Simple Technology Solutions’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.