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Advanced Manufacturing Engineer Lead - P
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EC
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- $113,000 to $165,000 USD / year
Eaton’s Corporate Sector division is currently seeking a Supplier Development Engineer - Casting & Forging. This will be a hybrid remote/in-office position that can be located at one of the…
Added 2 mins ago
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Supplier Development Engineer - Breakers
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- $113,000 to $165,000 USD / year
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Automation Engineer II
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Software Engineer, Machine Learning RecSys
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- $100,000 to $115,000 USD / year
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Perform quality reviews on designs performed by others

LEIDOS, INC.

Senior DevOps Engineer

Bethesda, MD, United States

Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.

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Job details

Pay: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.
Posting language: English
Posted: Nov 4, 2026

Original job description

Leidos is looking for our next TS/SCI cleared Senior DevOps Software Engineer to join a high energy team building and deploying a cutting edge technology stack in support of the DIA NDOC (National Digital Exploitation and OSINT Center) DOMEX Technology Platform (DTP). Under this 10-year contract containing multiple Task Orders, we support the DOMEX Data Discovery Platform (D3P) Modernization program as well as NDOC’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.

While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely.

What You’ll Do As a Senior DevOps Engineer you will lead a DevOps team responsible for 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 engineers, architects, developers, software integrators, and system administrators on the following key tasks:

Deploy, triage and maintain a production big data pipeline built on Kubernetes, Elasticsearch, and Kafka
Enhance and maintain CI/CD pipelines and DevOps automation to accelerate development and improve reliability
Design and support scalable, redundant infrastructure across physical and virtual environments
Use Helm to configure Kubernetes deployments for new features and evolving 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
Support SAFe Program Increment (PI) planning and execution
Own and prioritize the Agile team backlog, ensuring work aligns with business priorities and delivers maximum value; break down features, prioritize work, and ensure requirements are clear and actionable; review and accept completed work to ensure it meets business requirements and quality standards

What You Bring You’re enthusiastic, collaborative, and comfortable working with teammates across a range of technical backgrounds. You also meet the following qualifications:

BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 12+ years in software development, system engineering or related field or 10+ years of experience with Master’s degree
Active TS/SCI security clearance with the ability to obtain and maintain a Polygraph.
Current DoD 8570.01M IAT Level II (or higher) certification, such as Security+, CySA+, SSCP, CCNA Security, or CISSP (or Associate)
Ability to obtain Privileged User Account (PUA) certification
Hands‑on experience with containers and Kubernetes
e.g., Ingress/Gateway API, Helm chart design/build, pod disruption budgets, affinity/anti-affinity rules, familiarity with external-secrets, ArgoCD, cert-manager, eck (elastic search)
Experience with GitLab pipeline development
e.g., integration of GitLab CI/CD components, code quality reports, coverage/test reports
Experience as a Product Owner or a similar role in an Agile software development team
Excellent communication skills (verbal and written) to articulate technical and non-technical concepts to diverse audiences
Proven ability to work cross-functionally with engineering, design, project management teams, and stakeholders

You will wow us even more if you have some of these:

Experience with development, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc.
Experience on a production/ enterprise system
Experience with any of the following technologies:
Kafka or other message passing systems (AMQP, JMS)
Kubernetes monitoring, e.g., Prometheus/ Graphana
GPU-based Kubernetes
SALT for deployment automation
Nexus
Linux, e.g., sysctls for K8s environments, FApolicyd, SELinux
Familiarity with Elasticsearch, Logstash, and Kibana

#NMECDTP-ALL #ASBA If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:

November 4, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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