Site Reliability Engineer

Overview

At BusPatrol, we’re scaling a mission-critical safety and automation platform as we evolve from a monolith into distributed, event-driven and microservice-based systems. Reliability, latency, and operational efficiency are foundational-not afterthoughts.

We’re seeking a Site Reliability Engineer (SRE) who blends software engineering discipline with systems, infrastructure, and observability expertise. You’ll own availability, performance, scalability, and production readiness across services-driving automation, reducing toil, and enabling fast, safe delivery.

This role is for someone who wants to shape a modern reliability culture while protecting a platform that directly advances road safety through real-time data, analytics, and AI.

Key Responsibilities

· Define, implement, and iterate SLIs/SLOs (latency, availability, errors, saturation); operationalize error budgets and trigger corrective action.

· Engineer end-to-end observability (metrics, logs, traces, events) leveraging Datadog to accelerate detection and root cause analysis.

· Automate infrastructure (Terraform), deployment workflows, self-healing mechanisms, and progressive delivery (canary / blue-green).

· Lead incident lifecycle: detection, triage, mitigation, coordination, communication, and high-quality post-incident reviews that drive systemic fixes.

· Build and optimize CI/CD pipelines (GitHub Actions or equivalent) with reliability, rollback safety, and change quality controls.

· Perform capacity & performance engineering: load modeling, autoscaling policies, cost / efficiency tuning.

· Reduce toil via tooling, runbooks, proactive failure analysis, chaos / fault injection (AWS FIS or similar).

· Partner with development teams on architectural reviews, production readiness (operability, resilience, security, observability).

· Enforce least-privilege, secrets management , and infrastructure security; integrate policy as code.

· Improve alert quality (noise reduction, actionable context) to lower MTTR and fatigue.

· Champion reliability patterns: backpressure, graceful degradation,, circuit breaking

· Support distributed systems debugging (timeouts, partial failures, consistency anomalies) with emphasis on AI.

· Contribute to governance of change management, deployment health gates, and release safety.

· Document playbooks, escalation paths, and evolving reliability standards.

· Treat reliability as a product: roadmap, KPIs, stakeholder alignment, continuous improvement.

Preferred Qualifications

· 3+ years in SRE / Production Engineering / DevOps

· Proficient in one or more: Go, Python, TypeScript/Node.js, or Ruby for automation, tooling, and services.

· Strong Linux internals and networking fundamentals (DNS, TLS, HTTP, routing, load balancing).

· Hands-on Infrastructure as Code (Terraform) and GitOps workflows.

· Containers & orchestration (AWS ECS) including resource tuning & scaling strategies.

· Production-grade observability: Prometheus, Grafana, OpenTelemetry, ELK, Datadog (preferred).

· CI/CD design (pipelines, promotion strategies, automated verification, rollout / rollback).

· Full incident management lifecycle & quantitative postmortem practices.

· Experience with distributed systems failure modes (latency spikes, retry storms, thundering herds).

· Chaos / fault injection frameworks (AWS FIS preferred).

· Performance / load testing (k6, Locust, Gatling) and profiling for bottleneck isolation.

· BS/MS in Computer Science, Engineering, or equivalent practical expertise.

Mindset & Behaviors

· Bias for automation and measurable reliability outcomes.

· Calm, clear communicator under pressure; drives clarity during ambiguity.

· Sees reliability as a product with customers, SLAs, and iteration cycles.

· Data-driven; prefers leading indicators over reactive firefighting.

· Raises the bar for operational excellence and shared ownership.

Why Join Us

· Shape quality & reliability strategy for a modern, mission-driven safety platform.

· Direct impact: your work protects communities and improves public safety outcomes.

· Work across observability, distributed systems, infrastructure automation, and high-velocity delivery.

· Influence engineering culture: shift-left reliability, proactive resilience, sustainable on-call.

· Collaborate with teams modernizing architecture (microservices, event streaming, serverless, edge).

· Leverage advanced tooling (Datadog, Terraform, progressive delivery frameworks).

· Join a culture focused on learning loops, autonomy, and meaningful impact.