Senior Kubernetes Solutions Architect

Accenture Federal Services • Tampa, FL

16h • $120,400 - $234,700

About The Position

Accenture Federal Services is seeking a Senior Kubernetes Solutions Architect to design, deploy, automate, and maintain Kubernetes-based platforms. The role focuses on implementing secure, scalable, and highly available container orchestration environments for business-critical workloads, building robust clusters, and enabling development teams to use self-service Kubernetes platforms effectively. The successful candidate will bring advanced expertise in Kubernetes cluster management, security, and scaling, along with Infrastructure as Code, CI/CD, and cloud-native automation. Experience with hybrid or private cloud environments such as VMware vSphere or OpenShift is an added distinction.

The position requires an active TS/SCI clearance and current DoD 8570/8140 certifications. Candidates need eight years of relevant experience and a bachelor’s degree in a relevant discipline or equivalent professional background. The listed base pay range for specified states and the District of Columbia is $120,400–$234,700 USD. Accenture Federal Services describes its workplace as collaborative and caring, with opportunities for hands-on experience, certifications, and industry training.

Requirements

• Must hold and maintain DoD 8570/8140 certifications.
• At least 8 years of relevant experience and a bachelor’s degree in a relevant discipline or equivalent professional background; extensive work in Kubernetes and container orchestration is required.
• Advanced Infrastructure as Code proficiency, especially Terraform, including targeted applies, imports, and complex module usage.
• Significant experience architecting, deploying, and managing Kubernetes clusters, such as Amazon EKS or equivalent.
• Strong command of Kubernetes RBAC, security policies, and best practices.
• Thorough understanding of Kubernetes networking, Linux/Unix systems, and platform security.
• Proficiency with Git and GitOps workflows for Kubernetes resource management.
• Active TS/SCI clearance is required.

Nice To Haves

• Experience with VMware vSphere or OpenShift in hybrid or private cloud contexts.
• Experience designing, building, and maintaining automated CI/CD pipelines for containerized workloads.
• Experience building custom Kubernetes Operators.
• Familiarity with configuration management tools such as Ansible.
• Exposure to public cloud platforms such as AWS, Azure, or GCP, and to DevOps methodologies.
• Advanced programming skills in Python, Go, or JavaScript/TypeScript.
• Understanding of authentication protocols including OIDC, OAuth2, LDAP, and SAML.
• Contributions to open-source Kubernetes or DevOps projects.
• Kubernetes certifications such as CKA, CKAD, CKS, or Kubestronaut.

Responsibilities

• Architect, build, and maintain Kubernetes clusters, emphasizing scalability, reliability, security, and cluster lifecycle best practices.
• Manage Kubernetes services, including networking, storage, workload scheduling, and RBAC access control.
• Oversee containerized workloads to ensure high availability, efficient scaling, and security in multi-tenant environments.
• Design, implement, and manage Kubernetes Operators to automate operational tasks and application lifecycle management, using custom-built and existing Operators.
• Lead Infrastructure as Code initiatives, using tools such as Terraform to automate Kubernetes resource provisioning.
• Design, implement, and optimize CI/CD pipelines for containerized applications, embedding security controls throughout the pipeline.
• Build automation tools and scripts in Python, Go, or Bash to improve Kubernetes operations, reduce manual tasks, and integrate through APIs.
• Serve as a senior Kubernetes expert, mentoring development teams and guiding their use of container orchestration technologies.
• Collaborate with stakeholders to assess Kubernetes-native solutions and recommend improvements to platform efficiency and capabilities.
• Promote Git workflow best practices and the use of AI tools to accelerate development and troubleshooting of container-based applications.

Benefits

• Hands-on experience, certifications, and industry training.
• A wide variety of benefits is offered; specific benefits are not listed in the posting.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior