Full-Time Lead Site Reliability Engineer

This is a full-time role for an expert in systems design with considerable skill and expertise in large software development in an AZURE dev environment.

Designs and implements Continuous Integration/Continuous Deployment (CI/CD) tooling using GitHub Actions / Azure DevOps, and related technologies. This includes defining and implementing:

• build and test pipelines for containerized architectures
• infrastructure as code (IaC) for the stateful deployment of environments
• Role-Based Access Control (RBAC)
• linting and other code quality controls
• gitops and kubernetes pipelines
• managing SaaS deployment APIs

Individuals in this role will assist in the design, engineering, development, planning and administration of Azure Kubernetes AKS clusters for a set of critical business applications.

This role will work closely with application, engineering, security and operations teams to engineer and build Kubernetes and Azure PaaS & IaaS solutions within an agile and modern enterprise grade operating model.

Qualified applicants will have a demonstrated capability to learn new concepts quickly, and/or have robust domain expertise.

Key Responsibilities:

• Responsible for availability, latency, performance, efficiency, monitoring/observability, emergency response, capacity planning, setting, and maintaining SLOs, SLIs and Error Budgets, creating dashboards.
• Analyze, troubleshoot, and resolve operational challenges contributing to defined SLO's.
• Manage site stability, performance, reliability, and maintain uptime for production environments.
• Develop a fully automated multi-environment observability stack based on the existing system and extend it to predict capacity needs based on the usage patterns.
• Strive for automation to reduce toil and increase development velocity.
• Perform application-specific production support, incident management, change management, problem management, RCAs, and service restoration as needed.
• Identify changes for the product architecture from the reliability, performance and availability perspective with a data driven approach.
• Analyze and address complex technical challenges and issues that arise during the software development & run lifecycle.
• Debug, troubleshoot, and resolve technical problems efficiently.
• Create and maintain technical documentation, including design specifications, user guides, run books and best practice guidelines.
• Actively look for opportunities to improve the availability and performance of the system by applying the learnings from monitoring and observation.
• Collaborate with software development teams in the release management process and to shape the future roadmap and establish strong operational readiness across teams.
• Participate in Agile ceremonies, such as sprint planning, stand-up meetings, and retrospectives.
• Collaborate with product managers, designers, and other engineers to ensure alignment and efficient project execution.
• Share your expertise and mentor engineers, helping them grow and develop their skills.
• Foster a culture of continuous learning and improvement within the team.
• Stay updated with the latest technologies, tools, and cloud computing.
• Proactively learn and adapt to new technologies to drive innovation.
• Collaborate with customers to understand their needs, gather feedback, and provide technical support and guidance as needed.
• Contribute to incident root cause analysis, service restoration, and serve as an incident commander during outage events.

Qualifications:

• Strong background as a SRE supporting a 24x7 highly available production environment for a SaaS or cloud service provider.
• Solid experience with Monitoring/APM/Observability tools (Data dog, Application Insights, Prometheus, Grafana etc.,)
• Strong backgroud with Azure Resources like Key Vault, Data Factory, Azure Databricks and Storage Accounts.
• Experience implementing observability plans around logs, metrics, and traces.
• Experience in an agile development team developing software.
• Implement and participate exercising best practices for CI/CD.
• Experience with cloud infrastructure environments, preferably Azure, and Infrastructure as code (Terraform, Bicep, ARM).
• Design, develop, and maintain infrastructure using popular IaC tools and technologies like Terraform, Helm, others.
• Strong experience with containerization technology and/or Kubernetes.
• Experience with Release automation, system administration, configuration management.
• Experience with programming languages (Python, Go, etc.).
• Strong understanding of Linux, Windows, software development, systems, networking, and cloud concepts.
• Strong interpersonal and teaming skills - ability to set and enforce process and influence engineers who are not direct reports.
• Strong analytical and programming skills (Python, Go etc.).
• (Bonus) Experience with MLFlow and other MLOps pipeline technology

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