Senior Site Reliability Engineer

About the role

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.

What you'll do

• 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.

What you'll bring

• 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.
• 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.