DevOps Software Engineer

Base-2 Solutions, LLC; Bethesda (MD); On-site; USD 130,000 - 190,000; Full time

Job summary

Base-2 Solutions is seeking a DevOps Software Engineer to join a high-energy team in Bethesda, MD, building a cutting-edge data discovery platform modernization. You will contribute to scalable, containerized microservices and collaborate with cross-functional teams to deliver innovative solutions.

Responsibilities include deploying production pipelines on Kubernetes, Elasticsearch, and Kafka; enhancing CI/CD with GitLab; designing scalable infrastructure; using Helm for deployments; and

Qualifications

• 8+ years of relevant experience in engineering/CS or a related field
• Strong Linux proficiency
• Hands-on experience with containers and Kubernetes
• Experience with CI/CD orchestration and GitLab
• Familiarity with Elasticsearch, Logstash, and Kibana
• Demonstrated success in cross-functional engineering environments

Responsibilities

• 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 reliability.
• Design and support scalable, redundant infrastructure across physical and virtual environments.
• Use Helm to configure Kubernetes deployments for new features and evolving requirements.
• Partner with Systems Engineers to architect solutions for new capabilities.
• Contribute technical input to engineering documentation, diagrams, and models.
• Participate in Agile release planning, scrums, design sessions, bug triage, and related activities.

Skills

Linux

Kubernetes

CI/CD

GitLab

Elasticsearch/Logstash/Kibana

Cross-functional collaboration

Scripting (Bash/Python)

Education

Bachelor's degree in Engineering/CS/Systems

Master's degree (6+ years)

Tools

Kubernetes

Helm

Nexus

Prometheus

Grafana

Job description

Position Summary

Base-2 Solutions is seeking a DevOps Software Engineer to join a high-energy team building and deploying a cutting-edge technology stack in support of a mission-critical data discovery platform modernization effort. The role involves contributing to scalable, containerized microservices architecture and collaborating with cross-functional teams to deliver innovative solutions.

Essential Duties and Responsibilities

• 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.
• Partner with Systems Engineers to architect solutions for new capabilities.
• Contribute technical input to engineering documentation, diagrams, and models.
• Participate in Agile release planning, scrums, design sessions, bug triage, and related team activities.

Required Qualifications

• Bachelor’s degree in Engineering, Computer Science, Systems Engineering, or related field (or equivalent experience) with 8+ years of relevant experience; 6+ years with a Master’s.
• Strong Linux proficiency.
• Hands‑on experience with containers and Kubernetes.
• Experience with CI/CD orchestration and GitLab.
• Familiarity with Elasticsearch, Logstash, and Kibana.
• Demonstrated success working in cross‑functional engineering environments.

Preferred Qualifications

• Experience operating systems at scale.
• Knowledge of Agile methodologies.
• Development experience (Bash, PowerShell, SALT, Python, Groovy, Java, etc.).
• Experience supporting enterprise or production systems.
• Familiarity with Kafka or other messaging systems (AMQP, JMS).
• Familiarity with Kubernetes monitoring tools (Prometheus, Grafana).
• Familiarity with GPU‑based Kubernetes.
• Familiarity with SALT for deployment automation.
• Familiarity with Helm / Helmfile.
• Familiarity with Nexus.

Required Education and Experience Equivalency

• Bachelor’s degree in Engineering, Computer Science, Systems Engineering, or related field (or equivalent experience) with 8+ years of relevant experience.
• Master’s degree with 6+ years of relevant experience.

Required Certifications

• None specified.

Required Security Clearance

• Active Top Secret/SCI