Platform Engineer/DevSecOps
On-siteMcLean, Virginia, United States
McLean, Virginia, United StatesOn-siteFull TimeLarge
Full TimeLarge
Job Summary
Design, build, automate, secure, and operate AWS cloud platform capabilities supporting a large-scale GrantSolutions modernization program through iterative agile execution. Implement modern DevSecOps practices including secure CI/CD pipelines, Infrastructure as Code with Terraform, automated testing, vulnerability scanning, and release automation. Partner with software engineers, security teams, and Federal stakeholders to embed security early, standardize reusable pipeline templates, and ensure compliance with FedRAMP Moderate and NIST controls. Troubleshoot platform, deployment, and operational issues while maintaining observability through centralized logging, metrics, and alerting. Obtain and maintain a Federal or DoD Public Trust clearance prior to onboarding.
Required Qualifications
- Ability to Obtain Public Trust
- Bachelor's degree
- Minimum of FIVE (5) years of experience in platform engineering, DevSecOps, cloud engineering, infrastructure automation, site reliability engineering, systems engineering, or related technical roles
- Hands-on experience with AWS services including ECS/EKS, Lambda, API Gateway, EventBridge, S3, RDS, DynamoDB, CloudWatch, IAM, and Systems Manager
- Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, Azure DevOps, or similar tools
- Experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar automation frameworks
- Experience implementing and supporting DevSecOps practices, including automated testing, vulnerability scanning, secrets management, and secure software delivery
- Experience integrating security controls into pipelines, including static code analysis, dependency scanning, container/image scanning, infrastructure scanning, secrets detection, artifact management, and security quality gates
- Experience with AWS identity, access management, networking, logging, monitoring, encryption, secrets management, and security services, including practical application of least privilege and secure-by-default patterns
- Strong experience with containerization technologies including Docker and container orchestration platforms such as ECS, EKS, or Kubernetes
- Experience managing application deployments, environment configuration, release automation, and production support activities
- Experience implementing platform observability through monitoring, logging, alerting, tracing, and operational dashboards using tools such as CloudWatch, ELK, Grafana, Prometheus, Datadog, or similar
- Experience supporting highly available, scalable, and resilient cloud environments, including disaster recovery and operational readiness activities
- Experience with Linux administration, shell scripting, and automation using Python, Bash, or similar scripting languages
- Experience troubleshooting infrastructure, networking, application, and deployment issues across distributed cloud environments
- Familiarity with networking concepts including VPCs, load balancers, DNS, security groups, WAF, VPNs, and private connectivity patterns
- Ability to create reusable platform patterns, pipeline templates, runbooks, automation scripts, environment standards, and technical documentation for engineering teams
- Experience troubleshooting cloud infrastructure, pipelines, deployments, environment configuration, performance, availability, access, and integration issues across complex technical environments
- Strong understanding of the Software Development Life Cycle (SDLC), agile delivery, release management, change management, operational readiness, and continuous improvement practices
- Ability to collaborate effectively with software engineers, architects, security teams, vendors, operations teams, Product Owners, Scrum Masters, and Federal stakeholders
- Strong analytical, troubleshooting, and problem-solving skills with a focus on automation, operational excellence, and continuous improvement
- Exceptional communication skills, with the ability to explain technical concepts, platform standards, operational issues, and risk trade-offs clearly to technical and non-technical audiences
Desired Qualifications
- Experience supporting federal or government IT programs involving cloud modernization, DevSecOps implementation, platform engineering, security compliance, shared services, or phased capability delivery
- Experience supporting federal cloud environments, FedRAMP, FISMA, NIST 800-53, or similar compliance frameworks
- Experience with AWS services such as IAM, VPC, EC2, S3, RDS/Aurora, Lambda, ECS/Fargate, EKS, CloudWatch, CloudTrail, Config, Systems Manager, Secrets Manager, KMS, GuardDuty, Inspector, Security Hub, CodePipeline, CodeBuild, CodeDeploy, ECR, or comparable services
- Experience with Keycloak, OAuth/OIDC, SSO, and enterprise identity platforms
- Experience with artifact repositories, dependency management, container registries, software supply chain security, SBOM generation, signing, provenance, or secure release promotion practices
- Experience with observability and reliability engineering practices, including service-level indicators, service-level objectives, incident response, runbooks, automated recovery, and production readiness reviews
- Experience supporting multi-vendor delivery within a common platform architecture, including alignment to shared DevSecOps standards, environment management, release readiness, security expectations, and technical governance forums
- Cloud, DevSecOps, security, or agile certifications preferred, such as AWS Certified DevOps Engineer – Professional, AWS Certified Solutions Architect, AWS Certified Security – Specialty, Certified Kubernetes Administrator, Certified Kubernetes Security Specialist, Terraform Associate, Security+, SAFe, Certified ScrumMaster, or similar credentials
- Experience using generative AI and AI-assisted development tools to accelerate the software development lifecycle, including requirements analysis, solution design, code generation and modernization, automated testing, documentation, code review, troubleshooting, and release readiness, while applying appropriate security, privacy, governance, and human-review controls
- Experience prototyping or integrating generative AI capabilities using AWS Bedrock or comparable enterprise AI platforms
- Understanding of privacy, security, data-use restrictions, and responsible AI considerations in federal or regulated environments
- Experience with AI evaluation, prompt and model versioning, guardrails, monitoring, human-in-the-loop review, and mitigation of hallucination or unsafe output risks
- Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.