Description
Leidos is seeking a TS/SCI-cleared DevOps Platform Engineer/Linux Systems Administrator to join a high-energy team deploying and maintaining common application-runtime capabilities in support of the DIA-NDOC DOMEX Technology Platform (DTP).
As a Platform Engineer, you will operate and maintain the organisation's Kubernetes-based application platform and shared runtime services, including Elastic and Redis.
Responsibilities:
- Deploy, troubleshoot, monitor, and maintain the platform for a production big-data pipeline built on Kubernetes, Elasticsearch, and Kafka.
- Administer and maintain Linux-based applications, including installation, configuration, patching, upgrades, performance monitoring, troubleshooting, and system hardening.
- Integrate with the underlying physical and virtual infrastructure, ensuring system availability, reliability, security, and performance.
- Design and support scalable, redundant application infrastructure across physical and virtual environments.
- Contribute technical input to engineering documentation, diagrams, and models.
- Participate in Agile release planning, scrums, design sessions, bug triage, and related team activities.
Requirements:
- Bachelor's degree in Engineering, Computer Sciences, Systems Engineering, or related field with 4+ years of relevant experience.
- Active TS/SCI clearance and ability to obtain/maintain a TS/SCI with CI Polygraph.
- Possess at least one DoD 8140.03-M IAT Level II or higher certification.
- Ability to obtain Privileged User Account (PUA) certification per DoD 8140 policy.
- Hands-on experience with Kubernetes administration and operations.
- Experience with Linux command-line administration and troubleshooting.
- Familiarity with infrastructure and platform automation tools, such as Terraform, Ansible, Helm, Bash, Python, or equivalent.
- Working knowledge of platform security practices.
- Experience with monitoring and observability tools and practices.
- Ability to create and maintain clear technical documentation.
- Strong troubleshooting, analytical, and communication skills.
Nice to Have:
- Knowledge of Agile methodologies.
- Development experience (Bash, PowerShell, SALT, Python, Groovy, Java, etc.).
- Familiarity with Kafka or other messaging systems, GPU-based Kubernetes, SALT for deployment automation, Helm/Helmfile, CI/CD tools such as Gitlab, Nexus, ArgoCD.
The role offers a flexible schedule and occasional opportunities for remote work, with a salary range of $87,100.00 - $157,450.00.