DevOps Engineer - BeVera Solutions

BeVera Solutions, LLC is a rapidly growing public health and professional services company that provides innovative solutions to federal and state agencies. Our team supports mission-critical programs through expertise in program management, communications, acquisition, data analytics, and public health initiatives. BeVera’s CEO champions a people-first culture where every employee is valued. The company supports this commitment by offering competitive compensation and meaningful, impactful work assignments.

Recognized as one of Atlanta’s Best Places to Work (2024 & 2025 & 2026) by the Atlanta Business Chronicle, BeVera fosters a culture of integrity, excellence, and collaboration.

BeVera Solutions, LLC is seeking a Dev Ops Engineer to support development operations within a scientific computing (Sci Comp) and bioinformatics environment. The Dev Ops Engineer will assist with Git Lab administration, CI/CD pipeline development, containerization, workflow automation, scientific software deployment, and support of high-performance computing environments.

This position is well suited for a Dev Ops professional with experience in software development and automation who also has exposure to bioinformatics, high-performance computing (HPC), scientific computing, or data-intensive research environments .

The Dev Ops Engineer will work collaboratively with bioinformatics specialists, software developers, system administrators, and infrastructure teams to improve the reliability, security, automation, and reproducibility of scientific applications and computational workflows.

This position is contingent upon contract award, available funding, and applicable Government approval.

• Support administration of internal Git Lab environments, including repositories, source control, user access, issue tracking, branching, merge requests, and change-management activities.
• Develop, maintain, and troubleshoot CI/CD pipelines for scientific and custom-developed applications.
• Support automated build, testing, security scanning, packaging, and deployment processes.
• Develop and maintain automation scripts using languages such as Python, Java, Perl, Ruby, Bash, or similar technologies .
• Build, deploy, and maintain containerized applications using Docker, Singularity/Apptainer , or comparable technologies.
• Assist with the deployment and management of scientific and bioinformatics applications in Linux and high-performance computing environments.
• Support installation, upgrade, configuration, testing, and dependency management for scientific software and application modules.
• Assist with integration of commercial off-the-shelf (COTS), free/open-source (F/OSS), and internally developed software.