Visionary System Reliability Engineer

Site Reliability Engineer

As a seasoned system reliability engineer, you will be responsible for ensuring the availability, latency, and overall performance of our software as a service (SaaS) platform on Azure. Your primary goal will be to define and enforce reliability standards, lead impactful projects, mentor engineers, and eliminate unnecessary tasks at scale.

Key Responsibilities:

• Service Level Indicators (SLIs)/Service Level Objectives (SLOs): Define customer-centric SLIs/SLOs for Tier-0/Tier-1 services. Publish, review quarterly, and align teams with them.
• Error Budgeting:
  • Run the error-budget policy with multi-window, multi-burn-rate alerts; clear runbooks and paging thresholds.
  • Gate changes by budget status (freeze/relax rules) wired into CI/CD.
• Manage SLO/EB dashboards (Azure Monitor, Grafana/Prometheus, App Insights). Run weekly SLO reviews with engineering/product.
• Drive roadmap tradeoffs when budgets are at risk; land reliability epics.
• Lead high-impact incidents without drama: Own comms, run blameless postmortems, and make corrective actions stick.
• Engineer reliability in: Multi-AZ/region patterns (active-active/DR), PDBs/Pod Topology Spread, HPA/VPA/KEDA, resilient rollout/rollback.
• Optimize AKS at scale: Harden clusters (network, identity, policy), optimize node/pod density, ingress (AGIC/Nginx); mesh optional.
• Ensure observability that works: Metrics/traces/logs with Azure Monitor/App Insights, Log Analytics, Prometheus/Grafana, OpenTelemetry. Alert on symptoms, not noise.
• Maintain infrastructure as code (IaC) & automation: Terraform/Bicep modules, GitOps (Flux/Argo), policy-as-code (Azure Policy/OPA Gatekeeper). No snowflakes.
• Guarantee CI/CD reliability: Azure DevOps/GitHub Actions with canary/blue-green, progressive delivery, auto-rollback, Key Vault-backed secrets.
• Partner with FinOps to reduce spend without hurting SLOs: Load testing, right-sizing, autoscaling.
• Define disaster recovery you can trust: Define RTO/RPO, test backups/restore, run game days/chaos drills, validate ASR and multi-region failover.
• Secure by default: Entra ID (Azure AD), managed identities, Key Vault rotation, VNets/NSGs/Private Link, shift-left checks in CI.
• Reduce toil: Automate recurring ops, build self-service runbooks/chatops, publish golden paths for product teams.
• Own customer escalations: Be the technical owner on calls; communicate tradeoffs and recovery plans with authority.
• Document to scale: Architectures, runbooks, postmortems, SLIs/SLOs—kept current and discoverable.

Minimum Qualifications:

• Bachelor's degree in Computer Science or Engineering (or equivalent experience).
• 12+ years in production ops/platform/SRE, including 5+ years on Azure.
• PostgreSQL expertise: Deep operational knowledge incl. HA/DR, logical/physical replication, performance tuning (indexes/EXPLAIN/ANALYZE, pg_stat_statements), autovacuum strategy, partitioning, backup/restore testing, and connection pooling (pgBouncer). Prefer experience with Azure Database for PostgreSQL – Flexible Server.
• Azure core skills: AKS (must-have); Front Door/App Gateway, API Management, VNets/NSGs/Private Link, Storage, Key Vault, Redis, Service Bus/Event Hubs.
• Observability expertise: Azure Monitor/App Insights, Log Analytics, Prometheus/Grafana; SLO design and error-budget operations.
• IaC/automation expertise: Terraform and/or Bicep; PowerShell and Python; GitOps (Flux/Argo). Pipelines in Azure DevOps or GitHub Actions.
• Proven incident leadership at scale, blameless postmortems, and SLO/error-budget governance with change gating.
• Mentorship and crisp written/verbal communication.

Preferred (nice to have):

• Apache NiFi, Apache Flink, Apache Kafka or Redpanda (self-managed on AKS or managed equivalents); schema management, exactly-once semantics, backpressure, dead-letter/replay patterns.
• Azure Solutions Architect Expert, CKA/CKAD.
• ITSM (ServiceNow), on-call tooling (PagerDuty/Opsgenie).
• Compliance/SecOps (SOC 2, ISO 27001), policy-as-code, workload identity.
• OpenTelemetry, eBPF tooling, or service mesh.
• Multi-tenant SaaS and cost optimization at scale.