Role: Senior Site Reliability Engineer (SRE) / DevOps Engineer

Location: Viman Nagar, Pune (Work From Office)

Experience: 10+ Years

Timings: 3:00 PM – 12:00 AM (Monday - Friday)

On-Call Rotation Required (24/7 Production Support)

About the Role

We are seeking a highly experienced Senior Site Reliability Engineer (SRE) / DevOps Engineer responsible for ensuring the reliability, scalability, security, observability, and performance of mission-critical production systems. This role combines strong DevOps automation expertise with true SRE ownership, including incident management, on-call participation, reliability engineering, observability, root cause analysis, and proactive system improvements.

The ideal candidate will have deep expertise in Microsoft Azure, Kubernetes, OpenTelemetry, Golden Signals monitoring, and up-to-date SRE practices. They should be capable of balancing incident response with long-term engineering initiatives that improve reliability, reduce operational toil, and strengthen system resilience.

Key Responsibilities

1. Incident Response & On-Call Ownership

- Participate in 24/7 on-call rotation for production systems.
- Rapidly diagnose, mitigate, and resolve high-severity production incidents.
- Lead Root Cause Analysis (RCA) and post-mortem documentation.
- Implement corrective and preventive actions to avoid recurrence.
- Drive improvements in Mean Time to Recovery (MTTR).
- Maintain and improve SLAs, SLOs, and reliability objectives.

2. Reliability Engineering & SRE Practices

- Implement and champion Site Reliability Engineering (SRE) best practices.
- Define, measure, and improve SLIs, SLOs, SLAs, and Error Budgets.
- Engineer solutions to eliminate repetitive operational work (toil reduction).
- Conduct reliability reviews and capacity planning exercises.
- Improve system redundancy, failover strategies, and disaster recovery readiness.
- Continuously improve service availability, latency, and operational excellence.

3. Cloud & Infrastructure Engineering





- Design, manage, and optimize infrastructure on Microsoft Azure (Mandatory).
- Manage Azure Virtual Machines, Networking, Storage, IAM, Azure Monitor, and cloud-native services.
- Experience with AWS services such as EC2, S3, RDS, IAM, VPC, and CloudWatch is preferred.
- Exposure to Google Cloud Platform (GCP) is a plus.
- Administer and optimize Kubernetes clusters and containerized workloads.
- Manage Helm deployments and Kubernetes-based applications.
- Implement Infrastructure as Code (Terraform preferred).
- Support Git-based workflows using GitHub, GitLab, or Azure Repos.

4. Monitoring, Observability & Performance Engineering

- Design and implement observability solutions using OpenTelemetry, Prometheus, Grafana, Datadog, CloudWatch, and Azure Monitor.
- Build and maintain distributed tracing frameworks using OpenTelemetry.
- Establish monitoring based on Golden Signals:
- Latency
- Traffic
- Errors
- Saturation
- Design symptom-based alerting focused on user impact.
- Analyze performance bottlenecks and optimize application and infrastructure performance.
- Improve logging, tracing, and monitoring strategies across distributed systems.

5. AI & Cloud-Native Workloads (Good to Have)

- Support deployment and operations of Azure AI Services and AI Foundry solutions.
- Assist in infrastructure design for RAG (Retrieval-Augmented Generation) workloads.
- Ensure scalability, reliability, and observability of AI/ML systems in production.

6. Security & Compliance

- Apply cloud security best practices including IAM, network segmentation, and secrets management.




- Support vulnerability remediation and security initiatives.
- Collaborate with development and security teams to meet compliance requirements.

Required Technical Skills

Core Engineering

- Strong scripting/programming skills in Python and Bash.
- Good knowledge of Go (Golang) is a plus.
- Deep understanding of Linux systems administration.
- Strong networking fundamentals (DNS, TCP/IP, Load Balancing, SSL/TLS).
- Experience managing highly available production environments.

Cloud & Infrastructure

- Microsoft Azure (Mandatory)
- Kubernetes and container orchestration
- Terraform (Infrastructure as Code)
- Helm
- GitHub / GitLab / Azure Repos

Monitoring & Observability

- OpenTelemetry
- Prometheus
- Grafana
- Datadog
- Azure Monitor
- CloudWatch
- Distributed Tracing
- Metrics, Logs, and Observability Best Practices

SRE & Reliability

- Incident Response
- On-Call Operations
- Root Cause Analysis (RCA)
- SLI / SLO / SLA Management
- Error Budgets
- Golden Signals Monitoring
- Capacity Planning
- Toil Reduction
- Reliability Engineering

Preferred Qualifications

- Experience with distributed systems architecture.
- Exposure to OpenSearch / ELK Stack.
- Experience supporting AI/ML workloads in cloud environments.
- Familiarity with Azure AI Services and AI Foundry.
- Experience building observability frameworks using OpenTelemetry.
- Strong understanding of modern SRE methodologies and operational excellence.

What We’re Looking For

- Ownership mindset with strong accountability.
- Calm and effective decision-making during production incidents.
- Strong debugging and analytical problem-solving skills.
- Deep understanding of SRE principles, observability, and reliability engineering.
- Ability to balance incident response with long-term reliability improvements.
- Excellent collaboration and communication skills.
- Passion for automation, scalability, and continuous improvement.

📌 Senior Site Reliability Engineer (Pune)
🏢 AcquireX
📍 Pune