

Catapult Federal Services
DevSecOps Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Level DevSecOps Engineer with a contract length of "unknown," offering a pay rate of "unknown." Located in Gaithersburg, MD (hybrid; 3 days onsite), it requires expertise in CI/CD, cloud platforms, and security practices.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
April 29, 2026
π - Duration
Unknown
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ποΈ - Location
Hybrid
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π - Contract
Unknown
-
π - Security
Yes
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π - Location detailed
Gaithersburg, MD
-
π§ - Skills detailed
#API (Application Programming Interface) #AI (Artificial Intelligence) #Security #Compliance #Observability #Jenkins #Microservices #Scala #DevSecOps #Docker #GitLab #Terraform #DevOps #ML (Machine Learning) #Kubernetes #Agile #Python #Monitoring #GitHub #Prometheus #Infrastructure as Code (IaC) #Bash #Computer Science #Programming #AWS (Amazon Web Services) #Anomaly Detection #Scripting #Cloud #Automation #Grafana
Role description
β’
β’
β’ Not Open to C2C
β’
β’
β’ Seeking a Mid-Level DevSecOps Engineer to support the development and sustainment of a Common Automation Platform that enables scalable, secure, and reusable automation capabilities across programs. This role will focus on building and integrating shared services, pipelines, and tooling that standardize DevSecOps practices enterprise-wide. You will combine strong integration skills with an emerging focus on AI-enabled automation to drive efficiency, consistency, and security across mission systems.
Clearance: Public Trust (OR being willing to obtain, U.S. Citizenship Required)
Location: Gaithersburg, MD (hybrid; 3 days onsite)
Primary Responsibilities
β’ Design, build, and maintain a Common Automation Platform supporting CI/CD, security, and infrastructure automation
β’ Develop reusable automation frameworks, templates, and pipelines for enterprise-wide adoption
β’ Integrate platform capabilities with internal and external systems via APIs, microservices, and event-driven architectures
β’ Embed security controls and DevSecOps best practices into platform services and workflows
β’ Implement infrastructure-as-code (IaC) to provision and manage scalable environments
β’ Enable self-service capabilities for development teams through automation and platform tooling
β’ Implement automated security testing including SAST, DAST, container, and dependency scanning
β’ Support containerized workloads using Docker and Kubernetes
β’ Apply AI/ML capabilities to enhance automation (e.g., intelligent pipeline optimization, anomaly detection, auto-remediation)
β’ Collaborate with engineering, security, and operations teams to drive platform adoption and standardization
β’ Monitor platform performance, reliability, and usage metrics, and continuously improve capabilities
β’ Ensure compliance with federal security standards and organizational policies
Basic Qualifications
β’ Bachelorβs degree in Computer Science, Engineering, or related field and 4+ years of relevant experience (or equivalent combination of education and experience)
β’ Experience building or supporting shared platforms, developer platforms, or automation frameworks
β’ Experience with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions
β’ Experience with cloud platforms such as AWS
β’ Proficiency in scripting or programming languages such as Python or Bash
β’ Experience with containerization (Docker) and orchestration (Kubernetes)
β’ Experience with security tools and practices including vulnerability scanning, secrets management, and identity/access management
β’ Experience with IaC tools such as Terraform
β’ Familiarity with infrastructure-as-code and configuration management tools
β’ Strong problem-solving skills and ability to work in a collaborative team environment
β’ US Citizenship required with the ability to obtain and maintain a Public Trust security clearance
Preferred Qualifications
β’ Experience designing or implementing internal developer platforms (IDP) or platform engineering concepts
β’ Experience applying AI/ML or intelligent automation within DevSecOps pipelines
β’ Familiarity with MLOps concepts and frameworks
β’ Knowledge of federal security frameworks such as NIST RMF, NIST 800-53, or CIS benchmarks
β’ Experience developing and integrating RESTful APIs and distributed systems
β’ Experience with observability and monitoring tools (e.g., Prometheus, Grafana, ELK stack)
β’ Experience with serverless and event-driven architectures
β’ Relevant certifications (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator, Security+)
Key Skills
β’ Platform engineering and automation mindset
β’ Systems integration and API development
β’ Cloud-native architecture
β’ Security-first engineering
β’ Analytical thinking and troubleshooting
β’ Strong written and verbal communication skills
Work Environment
β’ Hybrid or remote work options may be available based on program requirements
β’ Agile, fast-paced development environment supporting government customers
β’ Collaboration across distributed, cross-functional teams
β’
β’
β’ Not Open to C2C
β’
β’
β’ Seeking a Mid-Level DevSecOps Engineer to support the development and sustainment of a Common Automation Platform that enables scalable, secure, and reusable automation capabilities across programs. This role will focus on building and integrating shared services, pipelines, and tooling that standardize DevSecOps practices enterprise-wide. You will combine strong integration skills with an emerging focus on AI-enabled automation to drive efficiency, consistency, and security across mission systems.
Clearance: Public Trust (OR being willing to obtain, U.S. Citizenship Required)
Location: Gaithersburg, MD (hybrid; 3 days onsite)
Primary Responsibilities
β’ Design, build, and maintain a Common Automation Platform supporting CI/CD, security, and infrastructure automation
β’ Develop reusable automation frameworks, templates, and pipelines for enterprise-wide adoption
β’ Integrate platform capabilities with internal and external systems via APIs, microservices, and event-driven architectures
β’ Embed security controls and DevSecOps best practices into platform services and workflows
β’ Implement infrastructure-as-code (IaC) to provision and manage scalable environments
β’ Enable self-service capabilities for development teams through automation and platform tooling
β’ Implement automated security testing including SAST, DAST, container, and dependency scanning
β’ Support containerized workloads using Docker and Kubernetes
β’ Apply AI/ML capabilities to enhance automation (e.g., intelligent pipeline optimization, anomaly detection, auto-remediation)
β’ Collaborate with engineering, security, and operations teams to drive platform adoption and standardization
β’ Monitor platform performance, reliability, and usage metrics, and continuously improve capabilities
β’ Ensure compliance with federal security standards and organizational policies
Basic Qualifications
β’ Bachelorβs degree in Computer Science, Engineering, or related field and 4+ years of relevant experience (or equivalent combination of education and experience)
β’ Experience building or supporting shared platforms, developer platforms, or automation frameworks
β’ Experience with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions
β’ Experience with cloud platforms such as AWS
β’ Proficiency in scripting or programming languages such as Python or Bash
β’ Experience with containerization (Docker) and orchestration (Kubernetes)
β’ Experience with security tools and practices including vulnerability scanning, secrets management, and identity/access management
β’ Experience with IaC tools such as Terraform
β’ Familiarity with infrastructure-as-code and configuration management tools
β’ Strong problem-solving skills and ability to work in a collaborative team environment
β’ US Citizenship required with the ability to obtain and maintain a Public Trust security clearance
Preferred Qualifications
β’ Experience designing or implementing internal developer platforms (IDP) or platform engineering concepts
β’ Experience applying AI/ML or intelligent automation within DevSecOps pipelines
β’ Familiarity with MLOps concepts and frameworks
β’ Knowledge of federal security frameworks such as NIST RMF, NIST 800-53, or CIS benchmarks
β’ Experience developing and integrating RESTful APIs and distributed systems
β’ Experience with observability and monitoring tools (e.g., Prometheus, Grafana, ELK stack)
β’ Experience with serverless and event-driven architectures
β’ Relevant certifications (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator, Security+)
Key Skills
β’ Platform engineering and automation mindset
β’ Systems integration and API development
β’ Cloud-native architecture
β’ Security-first engineering
β’ Analytical thinking and troubleshooting
β’ Strong written and verbal communication skills
Work Environment
β’ Hybrid or remote work options may be available based on program requirements
β’ Agile, fast-paced development environment supporting government customers
β’ Collaboration across distributed, cross-functional teams






