DevOps Engineer - Senior
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DevOps Engineer - Senior at Accenture Federal Services, Chantilly, VA (On-site). Pay posted by the employer: $94k–188k/yr. Posted Oct 14, 2026, last seen on the employer's hiring page Nov 5, 2026. Mentioned in the posting: AWS, Azure, Kubernetes.
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense...
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Who you'll be:
The Senior DevOps Engineer designs, builds, maintains, and enhances Jenkins-based CI/CD pipelines leveraging containerization and Kubernetes technologies. The role supports software development and deployment activities across multiple environments, drives automation initiatives, and ensures reliable, secure, and scalable delivery of applications and machine learning solutions. This position requires strong analytical and problem-solving skills, the ability to work independently, and effective collaboration with cross-functional stakeholders.
What you need:
- US Citizen with an Active TS/ SCI with CI Poly
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent experience).
- 8 years of relevant professional experience
- Demonstrated experience designing and supporting enterprise CI/CD pipelines using Jenkins.
- Experience with containerization technologies, including Docker and Kubernetes.
- Experience supporting automated testing and software deployment across multiple environments.
- Strong scripting and automation experience using languages such as Python, Bash, PowerShell, or similar.
- 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.
Unique Skills / Technical Requirements
- In-house custom developed application
- Advanced AI, GenAI & Multi-Model Engineering
- Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)
- Temporal, spatial, geographic, quantitative, and computer vision AI implementation
- Named Entity Recognition (NER), contextual entity extraction, and resolution
- Multi-step retrieval and structured output generation
- Complex data parsing and streamlined ingestion
- Deep source citation and traceable analytic outputs
- Data Architecture & ETL
- Vector, graph, and multi database orchestration
- Automated ETL pipeline creation, scheduling, and optimization
- Attribute Based Access Control (ABAC) at the data layer o Provenance and end to end data lineage tracking
- Schema aligned ingestion and normalization of diverse structured and unstructured data
- Enterprise Infrastructure & CrossDomain Solutions
- Air gapped, hybrid, and on premise operational environments
- Container orchestration and distributed systems management (Kubernetes)
- Locally hosted GPU servers and hyperconverged nodes
- Multitenant CrossDomain Solutions (CDS)
- Application Development & Integration
- UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)
- Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
- Use of modern programming languages and frameworks
Nice to have:
- 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 (e.g., AWS, Azure, Kubernetes, Jenkins, Security, or DevOps certifications).
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Read the full description on Accenture Federal Services's site
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