Senior DevOps Engineer – TS/SCI

Jobtailor

Bethesda (MD)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Job summary

Jobtailor in Bethesda, MD is seeking an experienced Senior DevOps/Product Owner to lead big data pipelines built on Kubernetes with Elasticsearch and Kafka. You will own the agile backlog, facilitate SAFe PI planning, and drive CI/CD improvements across the team while coordinating with systems engineers and architects.

Ideal candidates hold TS/SCI clearance, DoD 8570.01M IAT Level II certification, and substantial experience in container orchestration, Helm, and GitLab pipelines.

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.
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
Experience with container orchestration, specifically Kubernetes and troubleshooting (Ingress/Gateway API, Helm charts, Pod disruption budgets, affinity rules)
Familiarity with External-Secrets, ArgoCD, cert-manager, eck (elastic search)
GitLab pipeline development experience including: CI/CD components, Code Quality, Code Coverage/Test reports
Knowledgeable in Linux OS navigation, sysctls for K8s, FApolicyd and SELinux, Elastic Search, Logstash, Kibana
Experience as a Product Owner or similar role in an Agile team; break down complex problems
Experience managing and prioritizing product backlogs effectively
Strong understanding of Agile methodologies
Experience facilitating scrum (Planning, Retrospective, Grooming, Demo)
Excellent communication skills, cross-functional collaboration, stakeholder management
Proven ability to work cross-functionally with engineering, design, and project management
Demonstrated ability to manage expectations and maintain stakeholder relationships

Responsibilities

Deploy, triage and maintain a production big data pipeline using a microservice architecture on Kubernetes, Elasticsearch backend, and Kafka messaging
Enhance, improve, and maintain CI/CD and DevOps scripts to accelerate development and reliable deployments
Design, develop, and support scalable, redundant infrastructure across physical and virtual environments
Use Helm to configure Kubernetes deployments to support new features
Collaborate with System Engineers to design solutions for new features and requirements
Provide technical input to systems engineering documentation and diagrams in coordination with SE and Architect teams
Own and prioritize the Agile team backlog to align with business priorities and maximize value
Break down features, prioritize work, and ensure requirements are clear and actionable
Support SAFe Program Increment planning and execution, including creating and managing work items and project docs
Participate in Agile ceremonies (planning, daily standups, reviews, retrospectives)
Monitor sprint and program progress, resolve dependencies, risks and impediments
Review and accept completed work to ensure it meets business requirements and quality standards
Collaborate with stakeholders, developers, and leadership to communicate priorities, progress and product goals

Skills

Kubernetes

CI/CD

Agile methodologies

Product Owner experience

SAFe PI planning

Stakeholder management

Cross-functional collaboration

Linux OS navigation

Cloud/container skills

Education

BS in Engineering/CS/Systems Engineering or related field

Master’s degree

Tools

GitLab

ArgoCD

Cert-Manager

External-Secrets

Helm

Elastic Stack

Kafka

Job description

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
Provide technical input to systems engineering documentation and diagrams/models working in coordination/collaboration with SE team members and Architect team
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
Support SAFe Program Increment (PI) planning and execution, including creating and managing work items and project documentation
Participate in Agile ceremonies, including sprint planning, daily standups, reviews, and retrospectives
Monitor sprint and program progress, helping resolve dependencies, risks, and impediments that impact delivery
Review and accept completed work to ensure it meets business requirements and quality standards
Collaborate with stakeholders, developers, and leadership to communicate priorities, progress, and product goals.

Requirements

BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 12+ years in software development, system engineering or related field
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
Experienced with container/container orchestration, specifically Kubernetes and troubleshooting experience with: Ingress/Gateway API Helm chart design/build Pod disruption budgets Affinity/anti-affinity rules
Familiarity with external-secrets, ArgoCD, cert-manager, eck (elastic search)
GitLab pipeline development experience including: Integration of GitLab CI/CD components Integration of GitLab Code Quality reports Integration of GitLab Code Coverage/Test reports
Knowledgeable in navigating Linux OS, specifically: Knowledgeable about sysctls for K8s environments FApolicyd and SELinux experience Comfortable with Elastic Search, Logstash, Kibana
Experience as a Product Owner or a similar role in an Agile software development team: Demonstrated ability to break down complex problems into actionable steps
Experience managing and prioritizing product backlogs effectively
Strong understanding of Agile methodologies
Experience with facilitating scrum for the team (Planning, Retrospective, Grooming & Review/Demo)
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, and project management teams.
Demonstrated ability to manage expectations and maintain strong relationships with stakeholders.

Core Competencies

Demonstrates expertise in deploying and maintaining big data pipelines using Kubernetes and Elasticsearch, while effectively managing Agile team backlogs and facilitating CI/CD processes. Possesses strong communication skills to collaborate with cross-functional teams and stakeholders.

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