- Build, automate, and deploy Kubernetes workloads such as containerized AI/ML solutions, data processing tools, and software applications to support mission‑critical applications.
- Stand up and/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 in understanding Kubernetes architectures to leverage platform capabilities for future enhancements.
- 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 to sustain and advance the organization's capabilities.
- Bachelor's degree in Computer Science, Information Technology, or 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 such as AWS, GCP, or Azure and their associated services.
- 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 such as JSON and YAML.
- Experience 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 hands‑on experience with Linux‑based systems and shell scripting.
- Understanding of PKI, TLS, and X.509 authentication.
- Experience with infrastructure‑as‑code environments, large‑scale software deployments, and monitoring/testing tools such as CI/CD.
- Knowledge of monitoring and logging tools such as Prometheus, ElasticSearch, Logstash, and Kibana.
- Understanding of GitOps principles and tools such as Flux and ArgoCD.
- Experience managing and troubleshooting GPU‑based workloads, including CUDA.
- Familiarity with popular machine learning frameworks such as TensorFlow, PyTorch, and ONNX.
- 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 Anchore, Rapid7, and NeuVector.
- Knowledge of container registry technologies such as Harbor, ECR, DockerHub, etc.
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Cloud DevOps Engineer - McLean - Leading Path Consulting
Description
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, strong technical expertise in configuration automation, deployment, and continuous integration technologies, and the proven ability to fashion robust solutions that can keep pace with mission‑critical demands. They must be comfortable working in an agile environment with a cross‑functional team and embody a passion for continuous improvement and innovation. 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
Required Qualifications
Desired Qualifications
Benefits
Leading Path is an award‑winning Information Technology and Management Consulting firm focused on delivering solutions in process, technology, and operations to 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, and opportunities for professional growth and advancement.
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Devops Engineer
Only for registered members Bloomington
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DevOps Engineer
Only for registered members Bloomington
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DevOps Engineer
Only for registered members Bloomington
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DevOps Engineer
Only for registered members Normal
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Sr. DevOps Engineer
Only for registered members Bloomington
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Senior DevOps Engineer
Only for registered members McLean
-
AI/ML DevOps Engineer
Only for registered members McLean
-
DevOps Engineer (35 LPA - 55 LPA)
Only for registered members Bloomington
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Sr. Java Developer
Contract Only for registered members McLean
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Cloud Engineer
Only for registered members McLean
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Salesforce Architect
Only for registered members Bloomington
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Dynatrace Observability Engineer
Russell Tobin- McLean
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Back End Developer
hackajob- McLean
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MLOps Engineer
Only for registered members Bloomington
-
DevSecOps Engineer
Only for registered members McLean
-
DevSecOps Engineer
Only for registered members Bloomington
-
F5 & Network Automation Engineer
Only for registered members Bloomington
-
Machine Learning Engineer
Only for registered members Bloomington
-
Senior AI Technical Lead
Full time Only for registered members McLean
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F5 & Network Automation Engineer
Only for registered members Bloomington
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Cloud Engineer
Only for registered members McLean