Cloud DevOps Engineer - TS/SCI w/ Poly required

Leading Path Consulting; Warrenton (VA); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Fully paid medical/dental/vision premiums

Generous PTO

401K contribution

Job summary

A consulting firm is seeking a Cloud DevOps Engineer to manage and maintain robust cloud environments featuring Kubernetes. Responsibilities include automating and deploying workloads, enhancing CI/CD pipelines, and collaborating across teams. Candidates should possess a Bachelor's in Computer Science or related field with at least five years of Kubernetes experience. Benefits include competitive salary, comprehensive healthcare, and generous PTO.

Qualifications

• Bachelor’s degree or equivalent experience in a technical field.
• At least five years' related Kubernetes experience.
• Experience with cloud platforms like AWS, GCP, or Azure.

Responsibilities

• Build, automate, and deploy Kubernetes workloads.
• Collaborate with other engineering teams.
• Troubleshoot complex problems and provide customer support.

Skills

Kubernetes experience

AWS cloud platforms

Docker

IaC tools (Terraform, Ansible)

Python scripting

Linux OS

Education

Bachelor’s degree in Computer Science or related field

Tools

Helm

Prometheus

ElasticSearch

Job description

Cloud DevOps Engineer - TS/SCI w/ Poly required

The Cloud DevOps Engineer will architect, build, manage, maintain, and monitor a robust cloud environment featuring Kubernetes clusters for hosting a variety of software development and data processing workloads. The ideal candidate is a hands‑on DevOps engineer with significant experience in developing and deploying capabilities to the cloud. They must have strong, firsthand technical expertise in a variety of configuration automation, deployment, and continuous integration technologies and the proven ability to fashion robust solutions that can keep pace with mission. They must be at ease working in an agile environment with a cross‑functional team. In this role, the candidate will deliver containerized applications and services, enhance CI/CD pipelines, orchestrate and monitor workloads, and troubleshoot across Dev, Test, and Prod environments.

Key Responsibilities

• Work with a team to build, automate, and deploy Kubernetes workloads like containerized AI/ML solutions, data processing tools, and software applications to support mission critical applications
• Stand up or work with the necessary tooling for a robust CI/CD pipeline, including Helm, Kubernetes, Harbor, Nexus, and Terraform/Ansible
• Collaborate cross‑functionally with systems engineers, software engineers, data scientists, analysts, project managers, and other engineering groups
• Assist developers, DevOps engineers, and system administrators with an understanding of Kubernetes architectures to take advantage of the platform environment for future capabilities
• Troubleshoot complex problems and provide customer support for software systems and application issues
• Write and update technical documentation such as system documentation, training materials, processes and procedures
• Provide recommendations for continuous improvement
• Work alongside other engineers on the team to sustain and advance the organization’s capabilities

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or other related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience
• At least five (5) years of related Kubernetes experience
• Demonstrated experience with cloud platforms like AWS, GCP, or Azure and their associated services
• Demonstrated experience with container tools, including Docker, Kubernetes, or Rancher
• Design, develop, and maintain infrastructure using IaC tools (e.g., Terraform, Ansible)
• Proficiency in scripting languages including Python, Bash, and configuration formats like JSON and YAML
• Demonstrated experience with deploying Kubernetes within an on‑prem or cloud‑based environment
• Proficiency in utilizing Helm or other automated Kubernetes deployment methods
• Sound knowledge of Linux OS and demonstrated hands‑on experience with Linux‑based systems and shell scripting
• Understanding of PKI, TLS, and X.509 Authentication
• Demonstrated experience with infrastructure‑as‑code environments, large‑scale software deployments, and/or monitoring and testing such as continuous integration and continuous delivery (CI/CD)

Desired Qualifications

• Knowledge of monitoring and logging tools like Prometheus, ElasticSearch, Logstash, and Kibana
• Understanding of GitOps principles and tools like Flux and ArgoCD
• Experience in managing and troubleshooting GPU‑based workloads including CUDA
• Familiarity with popular Machine Learning Frameworks like TensorFlow, PyTorch, and ONNX
• Demonstrated hands‑on experience in programming and software development using Python
• Familiarity with authentication protocols such as OAuth and Keycloak
• Knowledge of container security technologies, such as Clair, Anchore, Rapid7, and/or NeuVector
• Knowledge of container registry technologies, such as Harbor, ECR, DockerHub, etc

Benefits

Leading Path is an award‑winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family‑friendly work environment with a strong work‑life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 paid holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement, and much more!

Seniority level

Mid‑Senior level

Employment type

Full‑time