Site Reliability Engineer

The Sr Site Reliability Engineer will architect, develop, and maintain cloud environment in both the commercial and government cloud. The role will work closely with software engineers, architects, and DevOps engineers to architect and maintain a secure, resilient and high performance cloud infrastructure., * Build, maintain, and operate IaaS and PaaS infrastructure in Azure commercial and government clouds

• Work closely with dev teams to identify and measure SLOs, SLAs and SLIs
• Act a strong contributor to development of platform services including architecture, provisioning, configuration, deployment, and support
• Perform integrations with central logging, metrics dashboards, instrumentation, incident monitoring and management
• Build/integrate/administer systems and tools that enable engineering teams to observe their applications in production with autonomy (Dashboards, APMs).
• Support software and/or cloud-infrastructure in an on-call rotation basis
• Assist with identification and remediation of technical problems at the root cause by continuously implementing automation, self-healing, and real-time monitoring to production systems
• Maintain and improve operational tooling, frameworks, build frameworks that test the performance and resiliency of our platform services/tools
• Automate alerts for metrics on performance, cost, vulnerabilities, risk, compliance violations
• Improve processes and champion automation of any manual items around support.

• 4 + years of experience working within a SRE engineer/cloud platform role
• Experience leveraging AI tools in the software development (or product) lifecycle in order to improve quality and efficiency
• Expert knowledge of a cloud service provider
• Expert knowledge and hands on production experience in Kubernetes (bare metal or managed) cluster setup and management required.
• Experience with infrastructure as code (IaC) tools like Terraform, Pulumi.
• Experience with Kubernetes deployment tools like Helm, ArgoCD, Flux
• Experience with monitoring tools (Dynatrace, Azure Monitor, Splunk, Graphana, Prometheus).
• Experience with the Elastic Stack or ELK stack (Elasticsearch, Logstash, and Kibana)
• Strong awareness of networking and internet protocols.
• Understanding of identity and access management (IAM)
• Experience supporting infrastructure in production cloud environments.
• Knowledge of Encryption, Public Key Infrastructure (PKI), understanding of OWASP
• Experience working with RESTful services
• Familiarity with IDEs and Source Control tools like Visual Studio Code and Git.

Preferences:

• Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, Math, Physics
• Master’s Degree with coursework focused on advanced algorithms, mathematics in computing, data structures or related field
• Expert knowledge of Azure
• Demonstrate passion about infrastructure automation
• Ability to prioritize work in a fast-paced environment.