DevOps Engineer - Senior
Accenturefederalservices · Chantilly, VA
About this role
**Who you’ll be** Senior DevOps Engineer designs, builds, maintains, and enhances Jenkins-based CI/CD pipelines leveraging containerization and Kubernetes. Supports software development and deployment across multiple environments, drives automation initiatives, and ensures reliable, secure, and scalable delivery of applications and machine learning solutions. Works independently and collaborates 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 related field (or equivalent experience) - 8 years of relevant professional experience - Experience designing and supporting enterprise CI/CD pipelines using Jenkins - Experience with containerization (Docker) and Kubernetes - Experience supporting automated testing and software deployment across multiple environments - Strong scripting/automation (Python, Bash, PowerShell, or similar) - Experience with Agile and DevOps practices - Knowledge of cloud platforms, infrastructure automation, and configuration management tools - Ability to troubleshoot complex software, infrastructure, and deployment issues; strong written and verbal communication **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; provenance and end-to-end data lineage tracking - Schema-aligned ingestion and normalization of diverse structured/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/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 (Terraform, CloudFormation, Ansible) - Experience with source control (Git, GitHub, GitLab, Bitbucket) - Familiarity with monitoring, logging, and observability platforms - Experience leading technical initiatives and mentoring engineering teams - Relevant certifications (AWS, Azure, Kubernetes, Jenkins, Security, or DevOps) **Pay Transparency (Base Range)** - **$94,000 — $187,600 USD** (for the listed states/locations) **Equal Employment Opportunity** Accenture Federal Services is an Equal Employment Opportun
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