Senior Cloud Infrastructure Engineer
Listed on 2026-08-28
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IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations
Software Integration Engineer
We have an immediate need for a Software Integration Engineer to oversee the administration, maintenance, and operational support of the Platform-as-a-Service (PaaS) component of the CASA Compute Environment (CCE). Operating within a robust Linux-based infrastructure, the CCE provides secure, multi-tenant, high-performance, and highly available Kubernetes clusters. In this key role, you will be responsible for platform reliability, cluster scalability, security compliance, and performance tuning to support vital mission applications.
The annual base salary range for this role is $162,000-$192,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills- Kubernetes Cluster Administration:
Demonstrated hands-on experience administering, configuring, and monitoring enterprise Kubernetes clusters. - Cluster Workload Troubleshooting:
Proven expertise troubleshooting and resolving issues related to Kubernetes ingress, networking, storage, and workload performance. - Helm Packaging:
Direct experience writing, deploying, and maintaining Helm Charts. - Containerization:
Experience with container technologies such as Docker or Podman. - Infrastructure as Code (IaC):
Hands-on experience with IaC principles and automation frameworks like Ansible. - Observability & Monitoring:
Experience utilizing system monitoring and visualization tools, specifically Prometheus and Grafana. - Linux & Scripting:
Proficient with the Linux CLI, standard utilities, and writing Bash or Python scripts for automation. - Version Control:
Proficiency using Git for source code management, branching strategies, and collaborative development. - Education:
Bachelor’s Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 6+ years of specialized data analytics or financial intelligence experience OR High School Diploma / GED, PLUS 11+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.
- Kubernetes Certification:
Certified Kubernetes Administrator (CKA) certification. - Python Development:
Experience with—or a willingness to learn—Python application development (e.g., RESTful services, microservices). - Agile & Dev Ops Culture:
Experience working in a fast-paced Dev Ops environment utilizing Agile principles and methodologies. - Agile Tooling:
Practical experience with the Atlassian Tool Suite (Jira, Confluence).
Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.
If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team,
Taking Care of All of YouNyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.
The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule.
PAY
- Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!
LEAVE
- Want to spend more time with the…
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