Senior Site Reliability Engineer

Voicetree Technologies; Dadri; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

MyOperator is seeking a proactive Site Reliability Engineer to own production reliability, observability, and performance across our AI-powered communication platform. You will define reliability standards, build observability frameworks, and drive SLO-based engineering across distributed AWS and Kubernetes environments.

The role emphasizes strong system design thinking, deep troubleshooting, and production ownership with a focus on incident response and MTTR reduction.

Qualifications

• 36 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.
• Hands-on experience with VictoriaMetrics / Prometheus (time-series monitoring).
• Hands-on experience with Grafana dashboards and visualization.
• PromQL for writing complex queries and alerts.
• Experience implementing distributed tracing using OpenTelemetry (Mandatory).
• Strong experience with centralized logging systems (ELK / OpenSearch / Loki).Experience with alerting frameworks such as Alertmanager or Grafana Alerts.
• Strong understanding of SLIs, SLOs, SLA design, and reliability engineering principles.
• Hands-on experience managing AWS production workloads (EC2, RDS, ELB, CloudWatch, IAM).
• Experience with Kubernetes (AWS EKS preferred).
• Good understanding of Linux systems, networking, and cloud infrastructure.
• Experience handling production incidents and participating in on-call rotations.
• Ability to automate operational tasks using Python or Bash.

Responsibilities

• Own production reliability, uptime, latency, and error budgets across services.
• Design and manage monitoring using Grafana, VictoriaMetrics, and CloudWatch.
• Define SLIs, SLOs, and SLA thresholds for AI systems (voice bots, APIs, routing).
• Build real-time dashboards for incident response, capacity planning, and leadership visibility.
• Implement end-to-end distributed tracing using OpenTelemetry.
• Maintain centralized logging with correlation between logs, metrics, and traces.
• Create SLO-based alerting systems with minimal noise and fast detection.
• Lead incident response lifecycle: triage, mitigation, RCA, improvements.
• Drive MTTR reduction through automation and reliability practices.
• Monitor AWS EKS production workloads.
• Instrument and monitor LLM API integrations and AI inference pipelines.
• Analyze logs with OpenSearch / ELK for anomalies.
• Automate workflows using Python or Bash.
• Collaborate with engineers to instrument new services from day one.

Skills

Incident response

Automation

On-call experience

Linux / Networking

Problem solving

Tools

VictoriaMetrics / Prometheus

Grafana

PromQL

OpenTelemetry

ELK / OpenSearch / Loki

Alertmanager / Grafana Alerts

AWS (EC2, RDS, ELB, CloudWatch, IAM)

Kubernetes / EKS

Python / Bash

Job description

About MyOperator

MyOperator is a Business AI Operator platform that enables businesses, teams, and AI agents to work together seamlessly for customer operations such as Sales, Support, Escalations, Feedback, and Refund processes. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows including voice bots, WhatsApp automation, and intelligent call routing.

We are building for reliability, speed, and impact. MyOperator values ownership, critical thinking, and execution. This is a high-expectation, high-learning environment where engineers are empowered to solve complex problems and build systems that directly affect customer outcomes.

Role Overview

We are looking for a skilled and proactive Site Reliability Engineer (SRE) to take end-to-end ownership of production reliability, observability, and performance engineering across MyOperatorAI-powered communication infrastructure.

This role is not operational-only it requires strong system design thinking, deep troubleshooting ability, and a production ownership mindset. You will define reliability standards, build observability frameworks, lead incident response, and drive SLO-based engineering practices across distributed AWS and Kubernetes environments.

Key Responsibilities

• Own production reliability, uptime, latency, and error budgets across critical services.
• Design and manage production-grade monitoring using Grafana, VictoriaMetrics (Prometheus), and AWS CloudWatch.
• Define and enforce SLIs, SLOs, and SLA thresholds for AI communication systems (voice bots, WhatsApp APIs, call routing).
• Build real-time operational dashboards for incident response, capacity planning, and leadership visibility.
• Implement end-to-end distributed tracing using OpenTelemetry (OTEL Collector).
• Design and maintain centralized logging with strong correlation between logs, metrics, and traces.
• Create SLO-based alerting systems with minimal noise and fast incident detection.
• Lead incident response lifecycle: alert triage, mitigation, RCA documentation, and preventive improvements.
• Drive MTTR reduction through structured monitoring, automation, and reliability engineering practices.
• Monitor and troubleshoot AWS EKS (Kubernetes) production workloads.
• Instrument and monitor LLM API integrations, AI inference pipelines, and messaging systems.
• Analyze logs using OpenSearch / ELK for anomaly detection and root cause identification.
• Automate operational workflows using Python or Bash to eliminate manual toil.
• Drive performance optimization, scalability improvements, and capacity planning.
• Collaborate with engineering teams to instrument new services from day one.

Required Skills Qualifications

• 36 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.
• Hands-on experience with:
  • VictoriaMetrics / Prometheus (time-series monitoring)
  • Grafana dashboards and visualization
  • PromQL for writing complex queries and alerts
  • Experience implementing distributed tracing using OpenTelemetry (Mandatory).
  • Strong experience with centralized logging systems (ELK / OpenSearch / Loki).Experience with alerting frameworks such as Alertmanager or Grafana Alerts.
  • Strong understanding of SLIs, SLOs, SLA design, and reliability engineering principles.
  • Hands-on experience managing AWS production workloads (EC2, RDS, ELB, CloudWatch, IAM).
  • Experience with Kubernetes (AWS EKS preferred).
  • Good understanding of Linux systems, networking, and cloud infrastructure.
  • Experience handling production incidents and participating in on-call rotations.
  • Ability to automate operational tasks using Python or Bash.

Good to Have

• Experience with OpenSearch / ELK log pipelines and anomaly detection.
• Kubernetes monitoring (pod health, node metrics, autoscaling behavior).
• CI/CD observability integration (Jenkins, GitHub Actions).
• Experience monitoring LLM APIs and AI inference pipelines.
• Familiarity with MLOps or AI observability tools (Arize, WhyLabs, etc.).
• Service mesh exposure (Istio).
• Infrastructure as Code (Terraform, CloudFormation).
• Experience with chaos engineering or load testing tools.
• Multi-cluster or multi-region architecture exposure.

Key Expectations

• Ownership of production systems and high availability.
• Strong troubleshooting and debugging skills.
• Focus on automation and reliability improvements.
• Proactive approach to incident prevention.
• Ability to reduce alert noise and improve signal quality.
• Data-driven approach to reliability engineering.

This Role Is Not For

• Candidates with purely development experience and no production ownership.
• Candidates without real incident response or on-call experience.
• Freshers or candidates with less than 3 years of experience.