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Guidehouse

Platform Engineer / DevSecOps Engineer

LocationUS - VA, McLean
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentDevelopment Operations
Company size10,000+ people
First seenSep 10, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have22
Must be able to OBTAIN and MAINTAIN a Federal or DoD '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
Nice to have13
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
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 are preferred
Skills
AWS
GitHub Actions
Jenkins
GitLab CI
Azure DevOps
Terraform
CloudFormation
AWS CDK
Docker
ECS
EKS
Kubernetes
Lambda
API Gateway
EventBridge
S3
RDS
DynamoDB
CloudWatch
IAM
Systems Manager
Python
Bash
ELK
Grafana
Prometheus
Datadog
Linux
VPC
EC2
CodePipeline
CodeBuild
CodeDeploy
ECR
Keycloak
OAuth
OIDC
AWS Bedrock
GuardDuty
Inspector
Security Hub
Secrets Manager
KMS
CloudTrail
Config
Fargate
Benefits
Medical insurance
Dental insurance
Vision insurance
Paid time off
Parental leave
401(k) retirement plan
Life insurance
Travel assistance
Health savings account
Flexible spending account
Commuter benefits
Short term disability
Long term disability
Tuition reimbursement
Employee referral program
Employee assistance program
Bonus
Job Family:
Development Operations
Travel Required:
None
Clearance Required:
Requirements
Ability to Obtain Public Trust
What You Will Do:
About the role
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.
•
Bachelor’s 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
•
Care.com 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 Employer–Protected 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.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
Legal
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
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