Senior Site Reliability Engineer

Good co India; India; Remote; INR 4,000,000 - 8,000,000; Full time

Job summary

Good co India is seeking an experienced Site Reliability Engineer/DevOps professional to design, implement, and maintain reliable, scalable production systems across cloud and distributed environments. You will define SLIs/SLOs, build automation, and lead incident response while improving release reliability and availability.

The role requires hands-on expertise in Kubernetes, Docker, Terraform, and major cloud platforms (AWS/Azure/GCP), plus strong scripting and observability skills.

Qualifications

• Bachelor's or Master's in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• 5 to 10 years of relevant experience in Site Reliability Engineering (SRE), DevOps, cloud infrastructure, platform engineering, or production systems engineering.
• Strong hands-on experience managing large-scale production environments and distributed systems.
• Proficiency in Linux systems administration, networking fundamentals, troubleshooting, and performance tuning.
• Practical experience with at least one major cloud platform, such as AWS, Microsoft Azure, or Google Cloud Platform.
• Strong expertise in containerization and orchestration technologies, particularly Docker and Kubernetes.
• Experience with Infrastructure as Code tools such as Terraform and configuration management tools such as Ansible.
• Proficiency in at least one programming or scripting language, such as Python, Go, Bash, or Shell.
• Experience implementing observability solutions using monitoring, logging, metrics, and distributed tracing tools.
• Good understanding of SLIs, SLOs, SLAs, error budgets, availability metrics, and reliability engineering principles.
• Proven ability to lead incident response, perform root cause analysis, write postmortems, and implement long-term corrective actions.
• Experience developing CI/CD pipelines, deployment automation, and safe release strategies such as canary deployments and blue-green deployments.
• Knowledge of high availability, fault tolerance, disaster recovery, capacity planning, and distributed system design.
• Familiarity with chaos engineering, resilience testing, and automated failure recovery practices.
• Understanding of cloud security, identity and access management, secrets handling, and infrastructure compliance.
• Ability to identify and eliminate operational toil through automation and process improvements.
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
• Ability to participate in on-call rotations and manage high-priority production incidents effectively.
• Experience mentoring engineers, driving reliability initiatives, and influencing system architecture decisions is highly desirable.
• Relevant cloud, Kubernetes, DevOps, or SRE certifications are an added advantage.

Responsibilities

• Design, implement, and maintain reliable, scalable, and highly available production systems across cloud and distributed infrastructure environments.
• Define and implement SLIs, SLOs, and SLAs to measure and improve service reliability.
• Develop automation tools and frameworks to reduce operational toil and improve engineering efficiency.
• Build and maintain monitoring, logging, tracing, and alerting solutions using Prometheus, Grafana, and OpenTelemetry.
• Manage production infrastructure and containerized workloads using Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP.
• Lead incident response activities, troubleshoot critical production issues, conduct root cause analysis, and implement preventive measures.
• Develop and maintain CI/CD pipelines and deployment automation to improve release reliability and reduce deployment risks.
• Implement high-availability architectures, fault-tolerant systems, disaster recovery strategies, and backup procedures.
• Analyze system performance, capacity, resource utilization, and scalability to identify bottlenecks and optimize infrastructure.
• Conduct post-incident reviews and blameless postmortems, tracking corrective actions to prevent recurring failures.
• Establish and manage error budgets, reliability targets, and operational readiness standards in collaboration with development teams.
• Implement chaos engineering and resilience testing practices to validate system behavior under failure conditions.
• Strengthen infrastructure security by implementing access controls, vulnerability management, secrets management, and compliance best practices.
• Optimize cloud infrastructure costs while maintaining performance, availability, and reliability requirements.
• Participate in on-call rotations, incident escalation, operational reviews, and production readiness assessments.
• Collaborate with software engineering, DevOps, platform engineering, and security teams to improve system reliability throughout the software development lifecycle.
• Mentor junior engineers, conduct technical reviews, and promote reliability engineering best practices across the organization.

Job description

Role & Responsibilities

• Design, implement, and maintain reliable, scalable, and highly available production systems across cloud and distributed infrastructure environments.
• Define and implement Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to measure and improve service reliability.
• Develop automation tools and frameworks to reduce operational toil, improve engineering efficiency, and minimize manual intervention.
• Build and maintain monitoring, logging, tracing, and alerting solutions using tools such as Prometheus, Grafana, and OpenTelemetry.
• Manage production infrastructure and containerized workloads using Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP.
• Lead incident response activities, troubleshoot critical production issues, conduct root cause analysis, and implement preventive measures.
• Develop and maintain CI/CD pipelines and deployment automation to improve release reliability and reduce deployment risks.
• Implement high-availability architectures, fault-tolerant systems, disaster recovery strategies, and backup procedures.
• Analyze system performance, capacity, resource utilization, and scalability to identify bottlenecks and optimize infrastructure.
• Conduct post-incident reviews and blameless postmortems, tracking corrective actions to prevent recurring failures.
• Establish and manage error budgets, reliability targets, and operational readiness standards in collaboration with development teams.
• Implement chaos engineering and resilience testing practices to validate system behavior under failure conditions.
• Strengthen infrastructure security by implementing access controls, vulnerability management, secrets management, and compliance best practices.
• Optimize cloud infrastructure costs while maintaining performance, availability, and reliability requirements.
• Participate in on-call rotations, incident escalation, operational reviews, and production readiness assessments.
• Collaborate with software engineering, DevOps, platform engineering, and security teams to improve system reliability throughout the software development lifecycle.
• Mentor junior engineers, conduct technical reviews, and promote reliability engineering best practices across the organization.

Preferred Candidate Profile

• Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• 5 to 10 years of relevant experience in Site Reliability Engineering (SRE), DevOps, cloud infrastructure, platform engineering, or production systems engineering.
• Strong hands-on experience managing large-scale production environments and distributed systems.
• Proficiency in Linux systems administration, networking fundamentals, troubleshooting, and performance tuning.
• Practical experience with at least one major cloud platform, such as AWS, Microsoft Azure, or Google Cloud Platform.
• Strong expertise in containerization and orchestration technologies, particularly Docker and Kubernetes.
• Experience with Infrastructure as Code tools such as Terraform and configuration management tools such as Ansible.
• Proficiency in at least one programming or scripting language, such as Python, Go, Bash, or Shell.
• Experience implementing observability solutions using monitoring, logging, metrics, and distributed tracing tools.
• Good understanding of SLIs, SLOs, SLAs, error budgets, availability metrics, and reliability engineering principles.
• Proven ability to lead incident response, perform root cause analysis, write postmortems, and implement long-term corrective actions.
• Experience developing CI/CD pipelines, deployment automation, and safe release strategies such as canary deployments and blue-green deployments.
• Knowledge of high availability, fault tolerance, disaster recovery, capacity planning, and distributed system design.
• Familiarity with chaos engineering, resilience testing, and automated failure recovery practices.
• Understanding of cloud security, identity and access management, secrets handling, and infrastructure compliance.
• Ability to identify and eliminate operational toil through automation and process improvements.
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
• Ability to participate in on-call rotations and manage high-priority production incidents effectively.
• Experience mentoring engineers, driving reliability initiatives, and influencing system architecture decisions is highly desirable.
• Relevant cloud, Kubernetes, DevOps, or SRE certifications are an added advantage.