Devsecops Engineer

Platform / DevSecOps Engineer [CLEARED - Secret or Top Secret Clearance]

Job Description

The DevSecOps Engineer will facilitate the successful integration of tenant applications into a Kubernetes platform, ensuring a seamless experience for internal and external application developers as they adopt and operate within the Kubernetes ecosystem. This role combines deep technical expertise in containerization and cloud-native infrastructure with strong communication and customer service skills to support platform tenants and drive secure, scalable, and reliable solutions.

Responsibilities

• Design, implement, and manage Kubernetes clusters to support microservices-based architectures across cloud and on-premises environments.
• Monitor and optimize Kubernetes clusters for performance, scalability, reliability, and efficient resource utilization.
• Implement and maintain security best practices to protect the integrity and confidentiality of workloads running in the Kubernetes environment.
• Collaborate closely with application developers and platform tenants to understand their requirements and design Kubernetes solutions that meet functional, performance, and security needs.
• Provide guidance, coaching, and training to platform tenants on Kubernetes best practices, deployment patterns, and operational procedures.
• Troubleshoot and resolve issues related to Kubernetes clusters, containerized applications, and associated infrastructure components.
• Develop and maintain automation scripts and tooling to streamline deployment, configuration, and operational workflows.
• Contribute to CI/CD pipeline design and implementation to enable reliable, repeatable, and secure application delivery.
• Stay current with industry best practices and emerging trends in Kubernetes, containerization, DevSecOps, and cloud-native technologies, and recommend improvements to the platform.
• Participate in collaborative engineering efforts with a large team to deliver new, innovative technology solutions to customers.

Essential Skills

• Proven experience designing, deploying, and managing Kubernetes clusters in production environments.
• Strong knowledge of containerization technologies such as Docker and container orchestration with Kubernetes.
• Hands-on experience with Kubernetes in both cloud and on-premises environments, including clustering and orchestration concepts.
• Proficiency in scripting and automation using tools such as Bash, Python, or Ansible.
• Familiarity with CI/CD pipelines and tools, such as GitLab CI, to support automated build, test, and deployment workflows.
• Ability to understand and translate application and tenant requirements into effective Kubernetes configurations and deployment strategies.
• Solid understanding of cloud and on-premises deployment models and how they interact with containerized workloads.
• Strong communication and interpersonal skills to work closely with tenants and cross-functional engineering teams.
• Must have a minimum of a DoD Secret Clearance
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.

Additional Skills & Qualifications

• Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• Kubernetes certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).
• Experience with Kubernetes ecosystem tools such as Helm, Istio, Argo CD, Flux CD, Prometheus, or Rancher.
• Knowledge of infrastructure as code (IaC) tools, including Terraform and Ansible, for automated provisioning and configuration.
• Experience working with major cloud providers such as AWS, Azure, or Google Cloud Platform (GCP).
• Experience with Azure Kubernetes Service (AKS) and hybrid or multi-cloud Kubernetes deployments.
• Experience in DevSecOps practices, including integrating security into CI/CD pipelines and containerized environments.
• Experience with automation frameworks and tooling to support large-scale engineering initiatives.
• Ability to work effectively within a large, collaborative engineering organization and contribute to innovative, bleeding-edge technology solutions.

Work Environment

The DevSecOps Engineer will work within a large, collaborative engineering organization of approximately 160 engineers, supporting a major program that delivers new and innovative technology to customers. The role offers a hybrid work arrangement, with three days onsite and two days remote each week, providing both in-person collaboration and flexibility. The engineer will be among the first members of a growing team at the Tampa location and will receive strong support from the broader engineering group. The environment focuses on all-new development, modern containerization and cloud-native technologies, and a high level of camaraderie and partnership with customers. Work will involve using tools and platforms such as Kubernetes, Docker, AKS, CI/CD pipelines, Terraform, Ansible, Bash, and Python in both cloud and on-premises settings, within a professional, technology-driven setting that emphasizes innovation, growth opportunities, and teamwork.

Job Type & Location

This is a Contract to Hire position based out of Tampa, FL.

Pay and Benefits

The pay range for this position is $55.00 - $95.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Tampa,FL.

Application Deadline

This position is anticipated to close on Aug 27, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.