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DevOps Engineer with Security Clearance
ALKUBethesda, MD🇺🇸United StatesPosted 13 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
DevOps Engineer Program Description: We support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open-Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. This program advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. Day to Day Responsibilities: To deploy, triage and maintain a big data pipeline production using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging
Enhance, improve, and maintain CI/CD and DevOps scripts and processes to facilitate faster development, quicker error detection and resilient deployment
Design, develop, and support scalable, redundant infrastructure to include physical and virtualized environments
Use Helm to configure Kubernetes deployments to support new feature requirements.
Collaborate with System Engineers to design solutions for new features and requirements
Provide technical input to systems engineering documentation and diagrams/models working in coordination/collaboration with SE team members and Architect team
Participate in Agile release planning, scrum of scrums, bug triage, design sessions and other meetings
Enhance, improve, and maintain CI/CD and DevOps scripts and processes to facilitate faster development, quicker error detection and resilient deployment
Design, develop, and support scalable, redundant infrastructure to include physical and virtualized environments
Use Helm to configure Kubernetes deployments to support new feature requirements.
Collaborate with System Engineers to design solutions for new features and requirements
Provide technical input to systems engineering documentation and diagrams/models working in coordination/collaboration with SE team members and Architect team
Participate in Agile release planning, scrum of scrums, bug triage, design sessions and other meetings
Skills
Machine Learning
Scrum
Agile
Data Pipeline
Helm
Kafka
Kubernetes
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