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Senior Cloud Site Reliability Engineer
SkyHive
Software Engineering
Mumbai, Maharashtra, India
Posted on Apr 1, 2026
We're looking for a
Senior Cloud Site Reliability Engineer
This role is Office Based, Mumbai OfficeJob Title: Senior Cloud Reliability Engineer (SRE)
Role Overview
We are looking for a Senior Cloud Reliability Engineer (SRE) to ensure the reliability, scalability, and performance of our cloud-based platforms and services. The role focuses on building highly resilient systems, improving operational efficiency through automation, and driving best practices across monitoring, incident management, and infrastructure reliability.
The ideal candidate will have strong experience in cloud platforms, automation, observability, and production operations, with a mindset focused on reducing toil and improving system reliability at scale.
In this role you will..
- Design, implement, and maintain highly available and scalable cloud infrastructure across production and non-production environments.]
- Improve system reliability, performance, and uptime by implementing SRE best practices.
- Build and maintain automation for infrastructure provisioning, deployments, and operational tasks.
- Develop and maintain observability frameworks including monitoring, alerting, logging, and tracing.
- Lead incident management, troubleshooting, and root cause analysis (RCA) for production issues.
- Implement and maintain SLIs, SLOs, and error budgets to measure service reliability.
- Collaborate with engineering, DevOps, security, and platform teams to improve system architecture and resilience.
- Drive capacity planning, performance optimization, and disaster recovery strategies.
- Reduce operational overhead by implementing self-healing systems and automation.
- Participate in on-call rotations and critical incident response.
You’ve got what it takes if you have…
- 6–10 years of experience in Site Reliability Engineering, Cloud Engineering, or DevOps roles.
- Strong hands-on experience with AWS, Azure, or GCP cloud platforms.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Strong scripting or programming skills in Python, Go, Bash, or similar languages.
- Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi.
- Strong experience with CI/CD pipelines and deployment automation.
- Hands-on experience with observability tools such as Prometheus, Grafana, ELK, Splunk, or New Relic.
- Strong troubleshooting skills across distributed systems, networking, and cloud infrastructure.
- Experience with incident management, post-incident reviews, and reliability improvements.
Preferred Qualifications:
- Experience managing large-scale production environments.
- Knowledge of security best practices in cloud environments.
- Experience implementing chaos engineering, resilience testing, or reliability frameworks.
- Familiarity with service mesh, microservices architectures, and API-driven systems.
- Experience working in high-availability SaaS environments.
Key Traits:
- Strong ownership mindset and problem-solving skills.
- Ability to work in high-pressure production environments.
- Passion for automation and eliminating manual operational work.
- Strong collaboration and communication skills across engineering teams.
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