Weekday AI·1 day ago
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Senior Site Reliability Engineer
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What you'll do
- Define and manage SLIs, SLOs, SLAs, error budgets, and reliability objectives for critical production services.
- Drive initiatives to improve system availability, scalability, performance, resilience, and operational efficiency.
- Manage and support production Kubernetes environments, including Amazon EKS and Red Hat OpenShift.
- Deploy and maintain containerised workloads using Docker, Kubernetes, and Helm.
- Manage cloud infrastructure across AWS and IBM Cloud, including hybrid-cloud environments.
- Design and maintain reliable cloud connectivity, networking, disaster-recovery, and failover solutions.
- Develop and maintain infrastructure using Terraform and Infrastructure as Code (IaC) practices.
- Automate operational processes, infrastructure tasks, and troubleshooting workflows using Python and Bash.
- Build and enhance observability solutions using Prometheus, Grafana, OpenTelemetry, Thanos, and logging platforms.
- Monitor system health, identify performance bottlenecks, and proactively address reliability risks.
- Participate in and lead high-severity incident response and production troubleshooting.
- Conduct root-cause analysis and lead post-incident reviews and corrective actions.
What they're looking for
- 4–6 years of professional experience in Site Reliability Engineering, DevOps, Cloud Infrastructure, or a closely related field.
- Strong hands-on experience with AWS and Kubernetes in production environments.
- Experience managing Amazon EKS, Docker, and Helm.
- Strong proficiency in Terraform and Infrastructure as Code practices.
- Hands-on scripting and automation experience using Python and Bash.
- Strong experience with Prometheus and Grafana for monitoring and observability.
- Strong understanding of SLIs, SLOs, error budgets, incident management, and production troubleshooting.
- Strong analytical, troubleshooting, and root-cause analysis skills.
- Excellent communication and collaboration skills.
- Ability to take ownership of critical production systems and operate effectively during high-severity incidents.
Nice to have
- Practical experience with Red Hat OpenShift is highly desirable.
- Experience with OpenTelemetry, Thanos, logging platforms, or similar observability technologies.
- Good understanding of DNS, TCP/IP networking, TLS, VPNs, load balancing, firewalls, and cloud connectivity.
- Experience working with hybrid or multi-cloud infrastructure, preferably including AWS and IBM Cloud.
- Strong understanding of containers, distributed systems, scalability, availability, and fault tolerance.
- Experience with disaster recovery, capacity planning, and production resilience.
- Exposure to regulated or compliance-driven environments such as HIPAA, SOC 2, PCI DSS, or ISO 27001.
- Experience mentoring engineers and contributing to technical architecture and reliability standards.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟯𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟯-𝟮𝟬 𝗟𝗣𝗔)
Experience: 4+ yrs
Location: Bengaluru, Karnataka, India
Job Type: Full-time
We are looking for an experienced Senior Site Reliability Engineer (SRE) to build, operate, and continuously improve highly reliable, scalable, secure, and high-performing production systems across hybrid and multi-cloud environments.
The role combines cloud infrastructure, Kubernetes, automation, observability, incident management, and reliability engineering. The ideal candidate will have strong hands-on experience with AWS, Kubernetes, Terraform, Python, Bash, and modern observability platforms, along with a strong understanding of production operations and distributed systems.
Requirements
Key Responsibilities
- Define and manage SLIs, SLOs, SLAs, error budgets, and reliability objectives for critical production services.
- Drive initiatives to improve system availability, scalability, performance, resilience, and operational efficiency.
- Manage and support production Kubernetes environments, including Amazon EKS and Red Hat OpenShift.
- Deploy and maintain containerised workloads using Docker, Kubernetes, and Helm.
- Manage cloud infrastructure across AWS and IBM Cloud, including hybrid-cloud environments.
- Design and maintain reliable cloud connectivity, networking, disaster-recovery, and failover solutions.
- Develop and maintain infrastructure using Terraform and Infrastructure as Code (IaC) practices.
- Automate operational processes, infrastructure tasks, and troubleshooting workflows using Python and Bash.
- Build and enhance observability solutions using Prometheus, Grafana, OpenTelemetry, Thanos, and logging platforms.
- Monitor system health, identify performance bottlenecks, and proactively address reliability risks.
- Participate in and lead high-severity incident response and production troubleshooting.
- Conduct root-cause analysis and lead post-incident reviews and corrective actions.
- Develop and maintain capacity-planning and reliability-improvement strategies.
- Implement secure, resilient, and compliant infrastructure practices across cloud environments.
- Support disaster-recovery planning, testing, and continuous improvement.
- Collaborate with software engineering, platform, security, and architecture teams to improve production reliability.
- Contribute to architecture reviews, engineering standards, operational best practices, and automation initiatives.
- Mentor engineers and promote strong SRE, DevOps, observability, and production-engineering practices.
What Makes You a Great Fit
- 4–6 years of professional experience in Site Reliability Engineering, DevOps, Cloud Infrastructure, or a closely related field.
- Strong hands-on experience with AWS and Kubernetes in production environments.
- Experience managing Amazon EKS, Docker, and Helm.
- Practical experience with Red Hat OpenShift is highly desirable.
- Strong proficiency in Terraform and Infrastructure as Code practices.
- Hands-on scripting and automation experience using Python and Bash.
- Strong experience with Prometheus and Grafana for monitoring and observability.
- Experience with OpenTelemetry, Thanos, logging platforms, or similar observability technologies.
- Strong understanding of SLIs, SLOs, error budgets, incident management, and production troubleshooting.
- Good understanding of DNS, TCP/IP networking, TLS, VPNs, load balancing, firewalls, and cloud connectivity.
- Experience working with hybrid or multi-cloud infrastructure, preferably including AWS and IBM Cloud.
- Strong understanding of containers, distributed systems, scalability, availability, and fault tolerance.
- Experience with disaster recovery, capacity planning, and production resilience.
- Exposure to regulated or compliance-driven environments such as HIPAA, SOC 2, PCI DSS, or ISO 27001.
- Strong analytical, troubleshooting, and root-cause analysis skills.
- Excellent communication and collaboration skills.
- Ability to take ownership of critical production systems and operate effectively during high-severity incidents.
- Experience mentoring engineers and contributing to technical architecture and reliability standards.
Company
Weekday AI
Bengaluru, India
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