DM

DevOps Engineer with SCI eligibility

Data Machines
DevOpsOnsite • Herndon, Virginia, Sunset Hills Road 12100$120k-175kPosted about 13 hours ago

Job Description

At Data Machines, we are at the forefront of data-driven decision-making, providing cutting-edge data analytics, DevSecOps, machine intelligence, and data science solutions for our Federal government, defense, and commercial clients. Our team operates a High-Performance Computing (HPC) environment that serves numerous users supporting various crucial missions. We offer a competitive salary range from $120,000 to $175,000 per year along with a comprehensive benefits package that includes 401(k) matching, health and dental insurance, paid time off, professional development assistance, and tuition reimbursement. We are committed to fostering a skilled and dedicated team, and we welcome passionate developers to join us on this mission.

- At least 8 years of experience in systems administration or system operations, or 6 years with a Masters degree, or 3 years with a PhD.
- Proficient in Linux-based infrastructure and Linux/Unix administration.
- Experience with open-source configuration management tools such as Ansible or Chef.
- Familiarity with open-source cloud tools, including Docker, Kubernetes, and OpenStack.
- Experience with public cloud security (e.g., AWS, Azure).
- Strong communication skills with the ability to convey protocols and processes effectively.
- Over 6 years of experience in a DevOps Engineer role (or similar), with software development and infrastructure experience being beneficial.
- Willingness to learn and adapt in a dynamic environment.
- Active TS/SCI clearance required.



- Manage platform systems, including OpenStack, Kubernetes, Spark, and Hadoop.
- Act as an engineer to enable infrastructure and development facets of the systems.
- Develop and execute upgrades and automation across multiple environments.
- Enhance systems through updates and optimizations utilizing various technologies.
- Collaborate closely with team members and stakeholders in a government setting.
- Spend significant time on-site ensuring effective functionality of the HPC environment.

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