Senior Site Reliability Engineer (SRE) Engineer

Senior Site Reliability Engineer (SRE) Engineer ONLY PUNE, NAGPUR,KOLHAPUR

Profiles Will Be Considered for

INTERVIEW,

A Big

"NO"

For Any Other Locations Even for Mumbai.

"Microsoft Azure/AWS/GCP, Kubernetes, Terraform, Datadog, OpenTelemetry, Golden Signals monitoring( Latency,Traffic, Errors, Saturation) and modern SRE practices( SLIs, SLOs, SLAs, and Error Budgets.)" Please match your work experience with these mentioned skillset for a quick right-fit check. Location: Viman Nagar, Pune – Work From Office Experience Overall(must have): 8 Years CTC: Up to ₹25 LPA Notice Period: Immediate Joiners Only within 15d or (if serving max 30days) Working Hours: 3:00 PM – 12:00 AM, Monday to Friday On-Call: 24/7 Production Support – On-Call Rotation Required Employment Type: Full-Time About the Role We are looking for an experienced Senior Site Reliability Engineer (SRE) / DevOps Engineer to manage and improve the reliability, scalability, performance, security, and observability of mission-critical production environments. The role requires strong hands-on expertise in Cloud, Kubernetes, DevOps automation, Monitoring & Observability, Incident Management, and SRE practices . The ideal candidate should be comfortable handling production incidents while also driving long-term initiatives around reliability, automation, scalability, and reduction of operational toil. Must-Have Skills & Experience1. SRE & Production Operations Relevant 7+ years of relevant experience in SRE / DevOps / Cloud Infrastructure / Production Engineering . Hands-on experience with 24/7 production support and on-call operations . Strong experience in incident management, troubleshooting, RCA, and post-mortems . Good understanding of SLI, SLO, SLA, Error Budgets, MTTR, and reliability engineering . Experience with toil reduction, capacity planning, high availability, disaster recovery, and failover strategies . Ability to improve system availability, performance, scalability, and operational reliability. 2. Cloud & Infrastructure Strong hands-on experience with Microsoft Azure, AWS, and/or GCP . Strong understanding of cloud infrastructure, networking, IAM, storage, compute, and cloud-native services. Hands-on experience with at least one major cloud platform and good exposure to multi-cloud environments. Experience with: Azure: VMs, Networking, Storage, IAM, Azure Monitor, AKS AWS: EC2, S3, RDS, IAM, VPC, CloudWatch, EKS GCP: Compute Engine, Cloud Storage, IAM, VPC, GKE, Cloud Monitoring 3. Kubernetes & Containerization Strong hands-on experience with Kubernetes and containerized workloads. Experience with AKS / EKS / GKE or equivalent Kubernetes environments. Hands-on experience with Helm deployments. Understanding of Kubernetes troubleshooting, scaling, networking, and workload management. 4. Infrastructure as Code & DevOps Hands-on experience with Terraform / Infrastructure as Code (IaC) . Experience with Git-based workflows using GitHub, GitLab, or Azure Repos . Strong DevOps automation and CI/CD understanding. Strong scripting skills in Python and/or Bash . 5. Monitoring & Observability Strong hands-on experience with OpenTelemetry . Experience with monitoring and observability tools such as: Prometheus Grafana Datadog Azure Monitor AWS CloudWatch GCP Cloud Monitoring Strong understanding of metrics, logs, distributed tracing, and alerting . Experience implementing monitoring based on Golden Signals : Latency Traffic Errors Saturation Ability to develop symptom-based, user-impact-focused alerting. 6. Linux & Networking Strong knowledge of Linux system administration . Strong understanding of:

Dns Tcp/ip

Load Balancing SSL/TLS Networking fundamentals Experience supporting highly available production environments. 7. Incident & Reliability Engineering Ability to rapidly diagnose and resolve high-severity production incidents . Experience driving MTTR reduction . Strong debugging and analytical problem-solving skills. Ability to identify recurring issues and implement permanent corrective/preventive solutions. Good-to-Have Skills Experience working across Azure + AWS + GCP in a multi-cloud environment. Knowledge of Go (Golang) . Experience with OpenSearch / ELK Stack . Experience supporting AI/ML workloads in production. Exposure to Azure AI Services and Azure AI Foundry . Experience supporting RAG (Retrieval-Augmented Generation) workloads. Experience designing infrastructure for AI/ML platforms. Experience building enterprise-wide OpenTelemetry observability frameworks . Strong understanding of distributed systems architecture. Exposure to advanced cloud-native architectures and reliability patterns. Experience with security, compliance, vulnerability remediation, secrets management, and network segmentation. Key ResponsibilitiesProduction & Incident Management Participate in the 24/7 on-call rotation . Diagnose, mitigate, and resolve production incidents. Lead RCA and post-incident reviews. Implement corrective and preventive actions. Continuously improve MTTR and production stability. Reliability Engineering Define and improve SLIs, SLOs, SLAs, and Error Budgets . Identify and eliminate operational toil. Conduct reliability and capacity reviews. Improve redundancy, failover, disaster recovery, and system resilience. Cloud & Infrastructure Manage and optimize cloud infrastructure across Azure, AWS, and/or GCP. Manage Kubernetes clusters and containerized applications. Implement and maintain Infrastructure as Code using Terraform. Support CI/CD and Git-based development workflows. Observability & Performance Build and improve monitoring, logging, metrics, and tracing. Implement OpenTelemetry and distributed tracing . Establish Golden Signals-based monitoring and alerting. Identify and resolve infrastructure and application performance bottlenecks. Security Implement cloud security best practices around IAM, network segmentation, and secrets management . Support vulnerability remediation and compliance initiatives. Collaborate with Development, Security, and Infrastructure teams. Ideal Candidate We are looking for someone with: Strong SRE mindset and production ownership . Excellent troubleshooting and incident-management skills. Hands-on expertise in Cloud + Kubernetes + Terraform + Observability . Strong understanding of OpenTelemetry and Golden Signals . Experience working in highly available, production-critical environments. Ability to remain calm and make effective decisions during critical incidents. Strong communication and cross-functional collaboration skills. Passion for automation, scalability, reliability, and continuous improvement . Important Hiring Criteria Must be: 7+ years relevant experience Immediate joiner Willing to work from office in Viman Nagar, Pune Comfortable with 3:00 PM – 12:00 AM shift Comfortable with 24/7 on-call rotation Strong hands-on SRE/DevOps experience Strong Cloud + Kubernetes + Observability experience Strong production incident management experience Good to have: Multi-cloud: Azure + AWS + GCP OpenTelemetry AI/ML or RAG production workloads Azure AI / AI Foundry Go OpenSearch / ELK Distributed systems