Senior Site Reliability Engineer (SRE) Engineer

"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

Senior Site Reliability Engineer (SRE) Engineer

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