DevOps Engineer - Senior

Accenture Federal Services•Chantilly, VA

1d•$94,000 - $187,600

About The Position

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.

Requirements

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.
Strong written and verbal communication skills.
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
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 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 (e.g., AWS, Azure, Kubernetes, Jenkins, Security, or DevOps certifications).

Responsibilities

Designs, builds, maintains, and enhances Jenkins-based CI/CD pipelines leveraging containerization and Kubernetes technologies.
Supports software development and deployment activities across multiple environments.
Drives automation initiatives.
Ensures reliable, secure, and scalable delivery of applications and machine learning solutions.
Troubleshoots complex software, infrastructure, and deployment issues.