AI Platform & DevSecOps Engineer

Salary: $150,000 - 190,000 per year Requirements:

• Bachelors degree in Computer Science, Information Technology, Engineering, Cybersecurity, or a related technical field, or equivalent relevant professional experience.
• 5+ years of experience in DevSecOps, DevOps, cloud engineering, platform engineering, software engineering, or a related technical role.
• Hands-on experience designing, deploying, or operating workloads in AWS; AWS GovCloud experience is highly desirable.
• Experience with Docker/OCI containers and Kubernetes, preferably Amazon EKS.
• Experience developing and maintaining CI/CD pipelines with GitLab CI/CD, Jenkins, AWS CodePipeline, or comparable tools.
• Strong Infrastructure as Code experience with Terraform, CloudFormation, or similar technologies.
• Proficiency in Python and experience with Bash, PowerShell, or similar scripting languages.
• Experience with Git-based workflows, automated testing, artifact management, and modern software delivery practices.
• Experience integrating security into CI/CD and cloud environments, including vulnerability scanning, secrets management, IAM, secure configuration, and automated controls.
• Experience implementing monitoring, logging, alerting, and troubleshooting in production or production-like environments.
• Working knowledge of AI/ML and generative AI technologies, including LLMs, AI APIs, model inference, and cloud infrastructure for AI-enabled applications.
• Experience supporting, deploying, integrating, or operating AI/ML or AI-enabled applications in cloud or containerized environments.
• Understanding of cloud security, identity and access management, networking, encryption, secrets management, and least-privilege access.
• Strong troubleshooting, technical communication, documentation, and collaboration skills.
• U.S. citizenship and eligibility for a DoD Secret clearance.
• Preferred: Experience supporting DoD, federal civilian, or other highly regulated environments, and hands-on AWS GovCloud experience.
• Preferred: Knowledge of RMF, NIST 800-53, NIST 800-171, FedRAMP, DISA STIGs, and Zero Trust.
• Preferred: Experience with Amazon Bedrock, Amazon SageMaker, or other enterprise AI/ML platforms; familiarity with AI workload security, observability, scalability, availability, performance, and cost.
• Preferred: Experience with CI/CD or platform automation for AI-enabled applications, and familiarity with AI security and governance in federal or regulated environments.
• Preferred: Experience with Helm, Argo CD, Flux, or other Kubernetes/GitOps technologies; observability tools such as CloudWatch, Prometheus, Grafana, OpenTelemetry, Splunk, or ELK; or software supply-chain security practices such as SBOM generation, artifact signing, provenance, container hardening, and policy enforcement.

• Design, build, and maintain secure, scalable platform capabilities for application development and delivery in AWS GovCloud.
• Create reusable infrastructure, automation, deployment patterns, and platform services to strengthen consistency, security, and developer productivity.
• Design, implement, and manage compliant AWS GovCloud environments for DoD and federal applications using services such as EKS, ECS/Fargate, IAM, VPC, S3, and CloudWatch.
• Build and improve CI/CD pipelines, automating application and infrastructure deployments and integrating tests, security scans, compliance checks, and deployment controls.
• Automate infrastructure provisioning and configuration using IaC tools, with version control, peer review, validation, and repeatable deployment practices.
• Deploy and operate containerized applications on Docker/OCI and Kubernetes, managing configuration, networking, storage, secrets, scaling, upgrades, security, and troubleshooting.
• Integrate security across the software development lifecycle and support federal cybersecurity compliance; implement automated scanning, vulnerability management, secrets detection, and compliance validation.
• Provide cloud infrastructure and shared platform capabilities for secure deployment and operation of AI-enabled applications and services.
• Partner with AI and software engineering teams to establish repeatable deployment, configuration, access-control, security, monitoring, scaling, and operational patterns.
• Support secure integration and operation of approved AI and LLM services, including Amazon Bedrock and other enterprise AI platforms; assist with connectivity, authentication, automation, monitoring, and troubleshooting.
• Implement monitoring, logging, tracing, dashboards, and alerting across cloud infrastructure, Kubernetes, applications, and platform services.
• Participate in incident response, root-cause analysis, vulnerability remediation, and ongoing reliability improvements.
• Develop Python, Bash, PowerShell, or similar automation and platform tools to reduce repetitive work, integrate services and APIs, enforce standards, and improve deployment efficiency.
• Troubleshoot complex infrastructure, application, CI/CD, Kubernetes, networking, and cloud-service issues in production and production-like environments.
• Support operational readiness, reliability, capacity, performance, and continuous improvement.
• Collaborate with software, AI, cybersecurity, cloud, architecture, and mission teams to integrate secure automation and platform capabilities throughout the software development lifecycle.
• Create technical documentation, architecture diagrams, runbooks, and reusable engineering standards.

• AI
• AWS
• Bash
• CI/CD
• Cloud
• CloudWatch
• DevSecOps
• DevOps
• Docker
• ELK
• Git
• GitLab
• GitOps
• Grafana
• Helm
• IAM
• Support
• Jenkins
• Kubernetes
• LLM
• OpenTelemetry
• PowerShell
• Prometheus
• Python
• Security
• Splunk
• Terraform
• API
• Ansible

More:

We are Credence, a 1,700+ person organization with more than 1,500 AI and data experts and over 100 prime contracts. Our AI, cloud, cybersecurity, and modernization work supports federal agencies and national security, health, and humanitarian missions. We have been recognized as a Washington Post Top Workplace for six consecutive years and named to the Inc. 5000 Fastest Growing Private Companies list in 13 of the past 14 years. We foster growth and encourage our team to take on important federal challenges. This hands-on AI Platform & DevSecOps Engineer role supports federal programs hosted in AWS GovCloud and combines cloud infrastructure, platform engineering, security automation, DevSecOps, and AI platform enablement. The position offers mission-focused work, cross-functional collaboration, and opportunities to build expertise across cloud-native technologies, cybersecurity, automation, production operations, and AI.

last updated 41 week of 2026