Senior Site Reliability Engineer
First seen by Alion on Jul 27, 2026.
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 MyOperators AI-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 PromQl, 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 :
- 3-6 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.
- Hands-on experience with :
1. VictoriaMetrics / Prometheus (time-series monitoring)
2. Grafana dashboards and visualization
3. 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).
- Familiarity with CI/CD pipelines and automation tools.
- 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 in 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.
Skills
Site Reliability, Monitoring Tools, Observability Services, DevOps, Grafana, SLA, AWS, Kubernetes, CI/CD Pipeline, ELK Stack, CI/CD