DevOps Engineer - Senior

Accenture Federal Services•Chantilly, VA

About The Position

The Senior DevOps Engineer designs, builds, maintains, and enhances Jenkins-based CI/CD pipelines using containerization and Kubernetes. The role supports software development and deployment across multiple environments, advances automation, and helps ensure applications and machine learning solutions are delivered reliably, securely, and at scale. The engineer is expected to work independently, apply strong analytical and problem-solving skills, and collaborate effectively with cross-functional stakeholders. The position involves technical work supporting an in-house custom-developed application and advanced AI, generative AI, and multi-model engineering. Relevant systems and capabilities include multi-model and multimodality orchestration; temporal, spatial, geographic, quantitative, and computer-vision AI; entity extraction and resolution; multi-step retrieval; structured output generation; data parsing and ingestion; and traceable, cited analytic outputs. Data engineering includes vector, graph, and multi-database orchestration; automated ETL creation, scheduling, and optimization; data-layer attribute-based access control; provenance and data-lineage tracking; and ingestion and normalization of structured and unstructured data. The role also supports air-gapped, hybrid, and on-premise environments; Kubernetes-based container orchestration and distributed systems; locally hosted GPU servers and hyperconverged nodes; and multitenant CrossDomain Solutions. Application and integration technologies listed include TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, and Kubernetes. Work includes integrating reasoning components, retrieval systems, databases, and AI/GenAI services. Applicants must be U.S. citizens with an active TS/SCI with CI Polygraph. The role requires a bachelor's degree in a relevant technical discipline or equivalent experience, and eight years of relevant professional experience. The position's listed base pay range for specified states and the District of Columbia is $94,000–$187,600 USD. Accenture Federal Services states that it offers a variety of benefits, with further information available through a benefits link in the posting.

Requirements

U.S. citizenship and an active TS/SCI with CI Polygraph.
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline, or equivalent experience.
Eight years of relevant professional experience.
Demonstrated experience designing and supporting enterprise CI/CD pipelines using Jenkins.
Experience with Docker and Kubernetes.
Experience supporting automated testing and software deployment across multiple environments.
Strong scripting and automation experience using Python, Bash, PowerShell, or similar languages.
Experience with Agile development methodologies and DevOps practices.
Knowledge of cloud platforms, infrastructure automation, and configuration management tools.
Experience troubleshooting complex software, infrastructure, and deployment issues.
Strong written and verbal communication skills.
Technical requirements include experience or capabilities related to multi-model and multimodality orchestration; AI implementations involving temporal, spatial, geographic, quantitative, and computer vision methods; named entity recognition, contextual entity extraction and resolution; multi-step retrieval and structured output generation; complex data parsing and streamlined ingestion; source citation and traceable analytic outputs; vector, graph, and multi-database orchestration; automated ETL pipelines; data-layer ABAC; provenance and end-to-end data lineage; schema-aligned ingestion and normalization of structured and unstructured data; air-gapped, hybrid, and on-premise environments; Kubernetes and distributed systems; locally hosted GPU servers and hyperconverged nodes; multitenant CrossDomain Solutions; and UI, backend, and middleware engineering.
Listed application and integration technologies include TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.
Applicants must have U.S. work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

Experience implementing DevSecOps and secure software delivery practices.
Experience supporting machine learning workflows, MLOps platforms, or AI/ML infrastructure.
Knowledge of Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.
Experience with source control platforms such as Git, GitHub, GitLab, or Bitbucket.
Familiarity with monitoring, logging, and observability platforms.
Experience leading technical initiatives and mentoring engineering teams.
Relevant industry certifications, such as AWS, Azure, Kubernetes, Jenkins, Security, or DevOps certifications.

Responsibilities

Design, build, maintain, and enhance Jenkins-based CI/CD pipelines leveraging containerization and Kubernetes.
Support software development and deployment activities across multiple environments.
Drive automation initiatives and support reliable, secure, and scalable delivery of applications and machine learning solutions.
Support automated testing and software deployment across multiple environments.
Troubleshoot complex software, infrastructure, and deployment issues.
Support advanced AI/GenAI and multi-model engineering, data architecture and ETL, enterprise infrastructure, and application development and integration.
Integrate reasoning components, retrieval systems, databases, and AI/GenAI services.
Collaborate with cross-functional stakeholders and work independently.