DevOps Engineer - Absolute Business Solutions Corp. (ABSc)

OpenTalent; Bethesda (MD); Hybrid; USD 120,000 - 150,000; Full time

Job summary

ABSC is seeking a TS/SCI-cleared DevOps Engineer to design, deploy, and maintain a containerized microservices architecture for the DOMEX Technology Platform supporting DIA/NMEC. Most work is on-site with flexible scheduling and occasional remote tasks based on client needs.

You will collaborate with cross-functional teams to deliver scalable, secure infrastructure and advanced data analytics capabilities across the DoD/IC enterprise.

Qualifications

• TS/SCI clearance required.
• Experience with design, deployment, and maintenance of full stack containerized microservices architectures.
• Strong collaboration across systems engineering, development, security, operations, and integration teams.

Responsibilities

• Deploy, triage and maintain a production big data pipeline using microservices on Kubernetes, Elasticsearch, and Kafka.
• Enhance CI/CD pipelines and DevOps scripts to enable faster development and resilient deployments.
• Design, implement and support scalable, redundant infrastructure (physical and virtualized).
• Use Helm to configure Kubernetes deployments for new features.
• Collaborate with System Engineers to design solutions for new features and requirements.

Skills

DevOps

Kubernetes

CI/CD

Elasticsearch

Kafka

Helm

Docker

Tools

Docker

Job description

As ABSC’s next TS/SCI-cleared DevOps Engineer, you will play a critical role in the design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Department of Defense (DoD) and Intelligence Community (IC) enterprise. We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging 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. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multi-year research and development cycles.

Have impact as part of a mission-focused, solutions-oriented, and adaptive team that values innovation, collaboration, and professional development. If you are ready to join ABSC in enabling DIA’s NMEC to provide critical and unique capabilities to the Intelligence Community,

While most work is conducted on-site at our client location onsite, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables.

Responsibilities include, but are not limited to:

As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack containerized microservices architecture as well as technical systems administration, installation, and configuration. You will participate in fostering a DevOps culture, building strong cross functional collaboration with systems engineering, architecture, development, security, operations, and integration teams, in a dynamic and fast paced environment.

You will work closely with a multi-disciplinary team of developers, other software integrators and system administrators on the following key tasks:

• To deploy, triage and maintain a production big data pipeline 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 deployments
• 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