Job Description

About PUNCH:

We’re problem solvers first & foremost. PUNCH’s origin story involves frustration with available INFOSEC tools and techniques—we came up thru the industry using these inefficient tools and decided there had to be a better way. We bring this laser focus on efficiency to every customer engagement.

We have trust as a hallmark in everything we do. PUNCH provides its team members with the maximum amount of ownership over their careers, the direction of the company, and the flexibility & freedom to accomplish their job without interference. Trust requires accountability; we live that, company-wide.

We back each other up. PUNCH is a supportive place to work. We’ve worked hard to create an environment that makes people better, encourages teamwork, and rewards a “pitch in” mentality.

We give back. To those in need. To the community. To the industry.

Does this sound like you?

PUNCH is seeking a Senior DevOps Engineer with deep experience in containerization, CI/CD pipelines, and supporting large-scale data analytics workflows. This is a highly technical, hands-on role focused on transitioning, deploying, and integrating analytic capabilities into DoD systems. You will play a key part in maturing infrastructure to support mission-critical data pipelines and machine learning workloads.

• Build and maintain containers and Helm charts to package, deploy, and integrate analytic capabilities into government workflows
• Implement and maintain security hardening for all code, artifacts, and containers to meet or exceed DoD compliance standards
• Work within an agile team using DoD’s Atlassian suite (Jira, Confluence) for development, tracking, and documentation
• Develop and enhance data ingestion, transformation, and analytics pipelines, including:
  • Integrating various data types, formats, and systems (e.g., JSON, Parquet, SQL-based)
  • Adjusting ML analytics and feature engineering to accommodate new datasets
  • Scaling analytics to support new workloads and environments
  • Orchestrating workflows and job scheduling using tools like Airflow
• Improve and maintain DevOps and MLOps workflows with end-to-end metrics, health monitoring, and alerting
• Enhance processing architectures for resiliency, observability, and mission performance

• Significant experience with Kubernetes , including Helm chart development and maintenance
• Deep knowledge of CI/CD pipelines , including compliance with DoD security hardening checks
• Hands-on experience in DevOps environments supporting data ingestion, ETL pipelines, analytics, and visualization
• Expertise with:
  • Linux environments (RedHat/Rocky, distroless containers)
  • Python (pandas, PySpark) , Bash, SQL, and Terraform
  • Data and file formats such as JSON and Parquet
• Familiarity with distributed systems such as:
  • Apache Spark, Kafka, ELK stack, MinIO/Ceph, Nifi, and Airflow
• Experience with GitLab for source control and pipeline automation
• Working knowledge of DoD cyber operations is highly desired

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