Senior Site Reliability Engineer

Primary Responsibilities

• Apply software engineering, automation, and SRE best practices to infrastructure and IT operations.
• Design, deploy, maintain, and support scalable, secure, resilient, and highly available solutions on Microsoft Azure.
• Develop and maintain Infrastructure as Code (IaC) using Terraform, ensuring consistency, reusability, and automation.
• Build, enhance, and support CI/CD pipelines using GitHub and related DevOps toolchains.
• Deploy, operate, and troubleshoot Java- and Python-based microservices and their associated database technologies.
• Support Azure Container Apps (ACA), Kubernetes/Azure Kubernetes Service (AKS), Azure Functions, and other cloud-native services.
• Implement and maintain deployment strategies, including blue-green deployments and automated release processes.
• Design and implement non-functional requirements (NFRs), including horizontal and vertical scalability, availability, resiliency, security, networking, and performance.
• Automate operational processes such as infrastructure provisioning, testing, deployment, monitoring, log analysis, and incident response.
• Implement and maintain monitoring, observability, and alerting solutions to proactively identify and resolve system issues.
• Troubleshoot complex infrastructure, application, and network-related issues across cloud environments and distributed systems.
• Collaborate with development teams to improve application reliability, deployment efficiency, and operational readiness.
• Research and evaluate new technologies, tools, and architectural approaches to improve platform reliability and operational efficiency.
• Maintain infrastructure documentation, architecture diagrams, deployment procedures, and operational runbooks.
• Ensure compliance with organizational infrastructure standards, security policies, and approved technology patterns.

Required Skills and Qualifications

• 5+ years of experience in Site Reliability Engineering, DevOps Engineering, Cloud Infrastructure, or a related technical role.
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
• Strong hands-on experience with Microsoft Azure cloud services and infrastructure.
• Strong SRE/DevOps engineering background with the ability to work independently and collaborate effectively with development teams.
• Hands-on experience with Terraform and Infrastructure as Code (IaC).
• Experience designing, developing, and maintaining CI/CD pipelines using GitHub.
• Experience deploying, supporting, and troubleshooting Java- and Python-based microservices.
• Good understanding of cloud architecture and non-functional requirements, including scalability, resiliency, availability, security, networking, and performance.
• Experience implementing deployment strategies such as blue-green deployments.
• Hands-on experience with Azure Container Apps (ACA) and/or Kubernetes, preferably Azure Kubernetes Service (AKS).
• Experience with Azure Functions, messaging systems, event-driven architectures, and webhooks.
• Programming or scripting experience in one or more languages such as Python, Go, Java, .NET, or Node.js.
• Experience with infrastructure monitoring, logging, and observability tools. ELK Stack and Grafana are preferred.
• Strong troubleshooting, analytical, research, documentation, and communication skills.
• Ability to take ownership of infrastructure and operational challenges and work effectively in a collaborative engineering environment.

Preferred Qualifications / Good to Have

• Microsoft Azure certifications.
• Experience deploying and managing Azure OpenAI services and related infrastructure.
• Exposure to MLOps and/or LLMOps practices, including deployment, monitoring, and operational management of AI/ML workloads.
• Experience supporting cloud-native, distributed, and event-driven application architectures.
• Familiarity with security best practices, cloud governance, and infrastructure compliance.

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