Base-2 Solutions, LLC
Base-2 Solutions, LLC

DevOps Engineer Level 4

Bethesda, MD, US • Posted 22 hours ago • Updated 9 hours ago
Full Time
On-site
USD $166,061.06 - 188,202.53 per year
Fitment

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Job Details

Skills

  • System Administration
  • Production Support
  • Big Data
  • Microservices
  • Messaging
  • DevOps
  • Documentation
  • Systems Engineering
  • Release Management
  • Scrum
  • Cisco Certifications
  • Security+
  • Customer Engagement
  • SSCP
  • CISSP
  • Orchestration
  • API
  • Budget
  • GitLab
  • Continuous Delivery
  • Code Coverage
  • Linux
  • Operating Systems
  • Security-Enhanced Linux
  • Elasticsearch
  • Kibana
  • Collaboration
  • Agile
  • Scripting
  • Bash
  • Windows PowerShell
  • Python
  • Groovy
  • Java
  • Apache Kafka
  • AMQP
  • JMS
  • Grafana
  • GPU
  • Kubernetes
  • Nexus
  • DoD
  • Security Clearance
  • Continuous Integration
  • Business Development
  • PPO
  • Point Of Sale
  • HMO
  • Life Insurance
  • Taxes
  • Apache Flex

Summary

  • Requisition ID: 2517
  • Standard Title: Senior DevOps Engineer
  • Required Security Clearance: Top Secret/SCI
  • Location: Bethesda, MD
  • Work Type: On-Site
  • Shift: First
  • Referral Eligibility: Eligible
  • U.S. Citizenship Required? Yes

Pay Range

$166,061.06 - $188,202.53 Annually

Position Summary

Base-2 Solutions is seeking a DevOps Engineer to support the DOMEX Data Discovery Platform Modernization program in Bethesda, Maryland. This role supports the design, deployment, and maintenance of a full-stack containerized microservices architecture and contributes to DevOps, systems administration, installation, configuration, and production support activities.
Essential Duties and Responsibilities
  • 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 support faster development, quicker error detection, and resilient deployments.
  • Design, develop, and support scalable, redundant infrastructure, including physical and virtualized environments.
  • Use Helm to configure Kubernetes deployments to support new feature requirements.
  • Collaborate with Systems Engineers to design solutions for new features and requirements.
  • Provide technical input to systems engineering documentation, diagrams, and models in coordination with Systems Engineering and Architecture team members.
  • Participate in Agile release planning, scrum of scrums, bug triage, design sessions, and other meetings.
Required Qualifications
  • Active TS/SCI with ability to obtain a CI Polygraph.
  • Bachelor's degree with a minimum of ten years of experience in the category field.
  • Possess at least one DoD 8570.01-M IAT Level II or higher certification, such as CCNA Security, CySA+, Security+ CE, SSCP, CISSP, or CISSP Associate.
  • Ability to obtain Privileged User Account certification per DoD 8570 policy.
  • Experience with containers and container orchestration, specifically Kubernetes.
  • Experience troubleshooting Kubernetes environments, including Ingress/Gateway API, Helm chart design/build, pod disruption budgets, affinity/anti-affinity rules, external-secrets, ArgoCD, cert-manager, and eck/Elasticsearch.
  • Experience developing GitLab pipelines, including integration of GitLab CI/CD components, Code Quality reports, and Code Coverage/Test reports.
  • Knowledge of Linux operating systems.
  • Knowledge of sysctls for Kubernetes environments.
  • Experience with FApolicyd and SELinux.
  • Experience with Elasticsearch, Logstash, and Kibana.
  • Demonstrated ability to participate in cross-functional planning, coordination, and task execution.
Preferred Qualifications
  • Experience with systems at scale.
  • Experience or knowledge of key Agile processes and techniques.
  • Experience with development or scripting languages and tools, such as Bash, PowerShell, SALT, Python, Groovy, or Java.
  • Experience supporting a production or enterprise system.
  • Experience with Kafka or other message-passing systems, such as AMQP or JMS.
  • Experience with Kubernetes monitoring tools, such as Prometheus or Grafana.
  • Experience with GPU-based Kubernetes.
  • Experience with SALT for deployment automation.
  • Experience with Nexus.
Required Education and Experience Equivalency
EducationYears of ExperienceHigh School Diploma/GEDn/aAssociates Degreen/aBachelors' Degree10Masters' Degree10PhD10Required Certifications
  • At least one DoD 8570.01-M IAT Level II or higher certification
Required Security Clearance
  • Active TS/SCI with ability to obtain a CI Polygraph.

Pay & Benefit Highlights
Compensation
  • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
  • Employee referral bonuses up to $10,000 per hired referral.
  • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
Health
  • 100% company-paid medical premiums for employees and eligible dependents.
  • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
  • 100% company-paid dental premiums for employees and eligible dependents.
  • 100% company-paid vision premiums for employees and eligible dependents.
Income Protection
  • 100% company-paid premiums for short-term disability.
  • 100% company-paid premiums for long-term disability.
  • 100% company-paid premiums for accidental death & dismemberment (AD&D).
  • 100% company-paid premiums for life insurance up to $200,000.
Retirement
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
  • 401(k) pre-tax and Roth options.
Leave
  • Up to 20 days of flexible paid time off (PTO).
  • 11 paid floating holidays.
Work-Life Balance
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90984897
  • Position Id: d13e3969f490fb584b02b278072059df
  • Posted 22 hours ago
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