DevOps Lead at Leidos managing platform engineering, SRE, and application security functions. Driving operational excellence and ensuring scalability for federal government applications.
About the role
- DevOps Engineer responsible for designing and optimizing high-performance infrastructure on Azure. Collaborating on AI projects and managing Kubernetes deployments while providing technical support and automation.
Responsibilities
- Design and manage cloud infrastructure—primarily on Microsoft Azure—ensuring high availability, performance, and scalability
- Build and maintain Kubernetes clusters and container-based deployments
- Automate infrastructure using Terraform, Ansible, and Infrastructure as Code (IaC) best practices
- Develop and manage robust CI/CD pipelines to streamline deployment, testing, and delivery processes
- Oversee monitoring, alerting, and logging systems (e.g., Prometheus, Grafana) to ensure proactive system health and reliability
- Provide 1st and 2nd level support for platform issues, incidents, and infrastructure troubleshooting
- Collaborate with customers and internal teams to deliver technical solutions, gather requirements, and support deployments
- Operate and support distributed data platforms, including Hadoop and related ecosystem components
- Maintain and secure Linux-based VMs, ensuring performance, patching, and compliance
- Use Git for version control, collaboration, and code lifecycle management
Requirements
- Strong experience with Azure and cloud-native architectures
- Solid understanding of Kubernetes and containerization technologies (4+ years)
- Proven expertise with Terraform, Ansible, and automation-driven practices
- Hands-on experience with CI/CD pipelines (e.g., GitLab CI, Jenkins)
- Familiarity with monitoring and alerting solutions such as Prometheus, Grafana, ELK, etc.
- Understanding of SRE principles, including SLIs, SLOs, incident response, and operational excellence
- Experience working directly with customers and providing technical support (1st/2nd level)
- Proficiency in Linux, virtual machines, and shell scripting
- Practical knowledge of Hadoop architecture and related tools (e.g., HDFS, Hive, Spark)
- Strong collaboration, communication, and troubleshooting skills
Benefits
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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