Senior Site Reliability Engineer (SRE) Engineer

Umanist Staffing; Pune District; On-site; INR 2,250,000 - 2,750,000; Full time

Job summary

Umanist Staffing is seeking a Senior Site Reliability Engineer (SRE) / DevOps Engineer to manage reliability, scalability, performance, security and observability of production environments in Pune. The role demands hands-on expertise across Cloud, Kubernetes, IaC, and monitoring, with responsibilities spanning incident management and long-term toil reduction.

You will drive automation, capacity planning, disaster recovery and SRE practices while supporting 24/7 production operations in a

Qualifications

• 7 years of relevant experience in SRE/DevOps/Cloud Infrastructure/Production Engineering.
• Hands-on experience with 24/7 production support and on-call operations.
• Experience with incident management, troubleshooting, RCA, and post-mortems.

Responsibilities

• Participate in 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.

Skills

SRE/DevOps

Incident management

On-call rotations

Cloud platforms

Kubernetes

Terraform

OpenTelemetry

CI/CD

Python/Bash

Monitoring/Observability

Tools

Terraform

Kubernetes

AKS

EKS

GKE

Helm

GitHub

GitLab

Azure Monitor

CloudWatch

Job description

Senior Site Reliability Engineer (SRE) Engineer

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 & Experience

1. 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 containerised 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 Responsibilities

Production & 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 optimise cloud infrastructure across Azure, AWS, and/or GCP.
• Manage Kubernetes clusters and containerised 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

• 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