The Role
Build, operate, and improve reliable production systems across hybrid and multi-cloud environments. Manage Kubernetes, AWS, IBM Cloud, Terraform infrastructure, containerized workloads, observability platforms, networking, disaster recovery, and automation. Define reliability objectives, lead high-severity incident response, conduct root-cause analysis, improve system resilience, and support capacity planning. The role also involves architecture collaboration, compliance-focused infrastructure practices, mentoring engineers, and promoting SRE and DevOps standards.
Summary Generated by Built In
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.
Skills Required
- 4-6 years of professional experience in Site Reliability Engineering, DevOps, cloud infrastructure, or a related field
- Hands-on production experience with AWS and Kubernetes
- Experience managing Amazon EKS, Docker, and Helm
- Experience with Red Hat OpenShift
- Strong proficiency with 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
- Understanding of SLIs, SLOs, error budgets, incident management, and production troubleshooting
- Understanding of DNS, TCP/IP networking, TLS, VPNs, load balancing, firewalls, and cloud connectivity
- Experience with hybrid or multi-cloud infrastructure, preferably AWS and IBM Cloud
- 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 own critical production systems and operate during high-severity incidents
- Experience mentoring engineers and contributing to technical architecture and reliability standards
Am I A Good Fit?
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The Company
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.
