Platform EngineerDevSecOps

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The Platform Engineer / DevSecOps Engineer will design build automate secure and operate the AWS cloud platform capabilities that support a large-scale agile software development and platform modernization program for the GrantSolutions contract. This role is responsible for enabling reliable repeatable secure and compliant software delivery through modern DevSecOps practices including CI/CD pipeline automation Infrastructure as Code container platform support cloud security controls automated testing and scanning observability release automation and operational readiness. The Platform Engineer / DevSecOps Engineer will work closely with Product Owners Scrum Masters software engineers solution architects security teams vendors executive leadership and Federal stakeholders to ensure the modernized platform is scalable resilient secure maintainable and aligned to program objectives.

What You Will Do:

We are seeking a strong Platform Engineer / DevSecOps Engineer to support the GrantSolutions platform modernization effort by building and improving the cloud engineering automation deployment security and operational capabilities needed to deliver modern software at scale. This role will help establish and operate the AWS-based platform patterns shared DevSecOps services pipelines controls and automation that enable multiple Scrum teams and vendor partners to deliver securely and consistently while supporting continuity of the legacy system throughout the transition.

The Platform Engineer / DevSecOps Engineer will support cloud platform engineering CI/CD implementation infrastructure automation security integration environment management release enablement observability and operational readiness in an iterative modernization environment. This individual will help deliver a secure and automated engineering platform that enables new vendor-delivered capabilities to integrate with legacy components as the modernized platform is built out over time. The role requires hands-on AWS cloud experience strong automation skills practical DevSecOps judgment and close collaboration with Product Owners Scrum Masters project managers solution architects security teams vendors executive leadership and Federal stakeholders to align platform delivery with architecture standards governance expectations release readiness compliance requirements and long-term modernization objectives.

• Design build automate secure and operate AWS cloud platform capabilities that support a large-scale GrantSolutions platform modernization program delivered through iterative agile execution.

• Implement and maintain modern DevSecOps practices including secure CI/CD pipelines automated build and deployment workflows quality gates vulnerability scanning secrets management policy enforcement and release automation.

• Develop maintain and improve Infrastructure as Code using tools such as Terraform AWS CloudFormation AWS CDK or comparable technologies to support repeatable auditable and compliant environment provisioning.

• Support cloud-native application delivery patterns using AWS services container platforms serverless services managed databases networking identity and access management logging monitoring and security services.

• Partner with software engineering teams to standardize reusable pipeline templates deployment patterns environment configurations shared libraries and automation scripts that improve delivery speed consistency and reliability.

• Embed security early and continuously across the software delivery lifecycle through automated static analysis dependency scanning container/image scanning infrastructure scanning configuration validation and compliance evidence generation.

• Implement and support observability practices including centralized logging metrics dashboards alerts tracing operational health checks and production readiness monitoring across modernized and legacy-integrated capabilities.

• Support secure environment management including configuration management access control network segmentation encryption secrets handling backup considerations disaster recovery support and change/release coordination.

• Collaborate with solution architects security teams vendors and Federal stakeholders to ensure platform capabilities align with enterprise architecture guidance FedRAMP Moderate expectations NIST controls governance standards and program security requirements.

• Troubleshoot platform pipeline deployment integration performance and operational issues; identify root causes; implement automation or process improvements; and support continuous improvement of the engineering platform.

What You Will Need:

• Must be able to OBTAIN and MAINTAIN a Federal or DoD PUBLIC TRUST; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.

• Bachelors degree required.

• 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.

What Would Be Nice To Have:

• 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.

What We Offer:

Guidehouse offers a comprehensive total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical Rx Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Parental Leave

• 401(k) Retirement Plan

• Group Term Life and Travel Assistance

• Voluntary Life and AD&D Insurance

• Health Savings Account Health Care & Dependent Care Flexible Spending Accounts

• Transit and Parking Commuter Benefits

• Short-Term & Long-Term Disability

• Tuition Reimbursement Personal Development Certifications & Learning Opportunities

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• annual membership

• Employee Assistance Program

• Supplemental Benefits via Corestream (Critical Care Hospital Indemnity Accident Insurance Legal Assistance and ID theft protection etc.)

• Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity EmployerProtected Veterans Individuals with Disabilities or any other basis protected by law ordinance or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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