{"id":2802971,"url":"https://alion.io/job/myoperator-senior-site-reliability-engineer","title":"Senior Site Reliability Engineer","company":{"id":3996,"name":"MyOperator","domain":"myoperator.co","url":"https://alion.io/company/myoperator","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":44000,"period":"year","method":"role_seniority_country_cell","sample_n":49},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Alertmanager","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Loki","optional":false},{"name":"OpenSearch","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"VictoriaMetrics","optional":false},{"name":"WhatsApp","optional":false},{"name":"Arize Phoenix","optional":true},{"name":"Chaos Engineering","optional":true},{"name":"CloudFormation","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Istio","optional":true},{"name":"Jenkins","optional":true},{"name":"Service Mesh","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-07-27T05:01:10Z","employer_posted_date":null,"last_verified_at":"2026-07-27T05:01:10Z","board_verified":false,"closed_at":null,"days_open":84,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":84},"description":"About MyOperator :\n\nMyOperator 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.\n\nWe 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.\n\nRole Overview :\n\nWe 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.\n\nThis 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.\n\nKey Responsibilities :\n\n- Own production reliability, uptime, latency, and error budgets across critical services.\n\n- Design and manage production-grade monitoring using Grafana, VictoriaMetrics (Prometheus), and PromQl, AWS CloudWatch.\n\n- Define and enforce SLIs, SLOs, and SLA thresholds for AI communication systems (voice bots, WhatsApp APIs, call routing).\n\n- Build real-time operational dashboards for incident response, capacity planning, and leadership visibility.\n\n- Implement end-to-end distributed tracing using OpenTelemetry (OTEL Collector).\n\n- Design and maintain centralized logging with strong correlation between logs, metrics, and traces.\n\n- Create SLO-based alerting systems with minimal noise and fast incident detection.\n\n- Lead incident response lifecycle : alert triage, mitigation, RCA documentation, and preventive improvements.\n\n- Drive MTTR reduction through structured monitoring, automation, and reliability engineering practices.\n\n- Monitor and troubleshoot AWS EKS (Kubernetes) production workloads.\n\n- Instrument and monitor LLM API integrations, AI inference pipelines, and messaging systems.\n\n- Analyze logs using OpenSearch / ELK for anomaly detection and root cause identification.\n\n- Automate operational workflows using Python or Bash to eliminate manual toil.\n\n- Drive performance optimization, scalability improvements, and capacity planning.\n\n- Collaborate with engineering teams to instrument new services from day one.\n\nRequired Skills & Qualifications :\n\n- 3-6 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.\n\n- Hands-on experience with :\n\n1. VictoriaMetrics / Prometheus (time-series monitoring)\n\n2. Grafana dashboards and visualization\n\n3. PromQL for writing complex queries and alerts\n\n- Experience implementing distributed tracing using OpenTelemetry (Mandatory).\n\n- Strong experience with centralized logging systems (ELK / OpenSearch / Loki).\n\n- Experience with alerting frameworks such as Alertmanager or Grafana Alerts.\n\n- Strong understanding of SLIs, SLOs, SLA design, and reliability engineering principles.\n\n- Hands-on experience managing AWS production workloads (EC2, RDS, ELB, CloudWatch, IAM).\n\n- Experience with Kubernetes (AWS EKS preferred).\n\n- Familiarity with CI/CD pipelines and automation tools.\n\n- Good understanding of Linux systems, networking, and cloud infrastructure.\n\n- Experience handling production incidents and participating in on-call rotations.\n\n- Ability to automate operational tasks using Python or Bash.\n\nGood to Have :\n\n- Experience with OpenSearch / ELK log pipelines and anomaly detection.\n\n- Kubernetes monitoring (pod health, node metrics, autoscaling behavior).\n\n- CI/CD observability integration (Jenkins, GitHub Actions).\n\n- Experience in monitoring LLM APIs and AI inference pipelines.\n\n- Familiarity with MLOps or AI observability tools (Arize, WhyLabs, etc.).\n\n- Service mesh exposure (Istio).\n\n- Infrastructure as Code (Terraform, CloudFormation).\n\n- Experience with chaos engineering or load testing tools.\n\n- Multi-cluster or multi-region architecture exposure.\n\nKey Expectations :\n\n- Ownership of production systems and high availability.\n\n- Strong troubleshooting and debugging skills.\n\n- Focus on automation and reliability improvements.\n\n- Proactive approach to incident prevention.\n\n- Ability to reduce alert noise and improve signal quality.\n\n- Data-driven approach to reliability engineering.\n\nThis Role Is Not For :\n\n- Candidates with purely development experience and no production ownership.\n\n- Candidates without real incident response or on-call experience.\n\n- Freshers or candidates with less than 3 years of experience.\nSkills\nSite Reliability, Monitoring Tools, Observability Services, DevOps, Grafana, SLA, AWS, Kubernetes, CI/CD Pipeline, ELK Stack, CI/CD","description_format":"text","description_chars":5116,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","Contact Center Software"],"lifecycle":[{"event":"open","at":"2026-10-18T01:22:52Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long 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