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Guidehouse

Advises agencies and runs regulated operations

Platform Engineer/DevSecOps Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeMcLean, VA, USAIn-person

About the Job

Requirements

  • Must be able to obtain and maintain a Federal or Department of Defense Public Trust, with approved adjudication before onboarding.
  • A bachelor's degree is required.
  • A minimum of five years of experience in platform engineering, DevSecOps, cloud engineering, infrastructure automation, site reliability engineering, systems engineering, or related technical roles is required.
  • Hands-on experience with AWS services including ECS/EKS, Lambda, API Gateway, EventBridge, S3, RDS, DynamoDB, CloudWatch, IAM, and Systems Manager is required.
  • Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, Azure DevOps, or similar tools is required.
  • Experience with Infrastructure as Code using Terraform, CloudFormation, or similar automation frameworks is required.
  • Experience implementing and supporting DevSecOps practices, including automated testing, vulnerability scanning, secrets management, and secure software delivery, is required.
  • 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, is required.
  • Experience with AWS identity and access management, networking, logging, monitoring, encryption, secrets management, and security services is required, 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 is required.
  • Experience managing application deployments, environment configuration, release automation, and production support activities is required.
  • Experience implementing platform observability through monitoring, logging, alerting, tracing, and operational dashboards using CloudWatch, ELK, Grafana, Prometheus, Datadog, or similar tools is required.
  • Experience supporting highly available, scalable, and resilient cloud environments, including disaster recovery and operational readiness activities, is required.
  • Experience with Linux administration, shell scripting, and automation using Python, Bash, or similar scripting languages is required.
  • Experience troubleshooting infrastructure, networking, application, and deployment issues across distributed cloud environments is required.
  • Familiarity with networking concepts including VPCs, load balancers, DNS, security groups, WAF, VPNs, and private connectivity patterns is required.
  • Ability to create reusable platform patterns, pipeline templates, runbooks, automation scripts, environment standards, and technical documentation for engineering teams is required.
  • Experience troubleshooting cloud infrastructure, pipelines, deployments, environment configuration, performance, availability, access, and integration issues across complex technical environments is required.
  • Strong understanding of the Software Development Life Cycle, agile delivery, release management, change management, operational readiness, and continuous improvement practices is required.
  • Ability to collaborate effectively with software engineers, architects, security teams, vendors, operations teams, Product Owners, Scrum Masters, and Federal stakeholders is required.
  • Strong analytical, troubleshooting, and problem-solving skills focused on automation, operational excellence, and continuous improvement are required.
  • Ability to explain technical concepts, platform standards, operational issues, and risk trade-offs clearly to technical and non-technical audiences is required.

Responsibilities

  • Design, build, automate, secure, and operate AWS cloud platform capabilities supporting the GrantSolutions platform modernization program and 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 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 throughout 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 align platform capabilities 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.

Desired Qualifications

  • Candidates with an active Public Trust or suitability are preferred.
  • 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 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.

About the Company

Guidehouse

Advises agencies and runs regulated operations

Guidehouse advises government agencies and companies in regulated industries on strategy, technology and day-to-day operations. Its work combines business advice with software implementation and ongoing management, so a client uses the same firm to plan a change, build the systems and run the resulting processes. Teams modernize cloud platforms, apply data analysis and artificial intelligence, and redesign organizations to meet operating and regulatory requirements. Clients pay for consulting projects and technology work or outsource continuing business functions to its managed services teams. Guidehouse was founded in 2018 and is headquartered in McLean, Virginia.

Company size
10,001+
Company stage
Acquired
Total funding
$750K
Headquarters
McLean, VA
Founded
2018

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