Site Reliability Engineer

BusPatrol
Hyderabad, India
Hybrid

Who this role is best for

Geared toward candidates comfortable with defining SLIs/SLOs and automating infrastructure, who have experience in distributed systems and observability tools like Datadog, and are based in India or open to relocation there.

Best fit for

  • Candidates with a background in infrastructure automation and distributed systems reliability
    — “engineer end‑to‑end observability (metrics, logs, traces, events) leveraging Datadog”
  • Individuals who have led incident management and post-incident reviews
    — “Lead incident lifecycle: detection, triage, mitigation, coordination, communication, and high-quality post-incident reviews”
  • Professionals with experience in CI/CD pipeline optimization and reliability practices
    — “Build and optimize CI/CD pipelines (GitHub Actions or equivalent) with reliability, rollback safety”

Things to consider

  • This role demands a strong focus on reliability as a product with defined KPIs and stakeholder alignment
    — “Treat reliability as a product: roadmap, KPIs, stakeholder alignment, continuous improvement”
  • Candidates must be able to work with advanced tooling like Terraform and Datadog
    — “Leverage advanced tooling (Datadog, Terraform, progressive delivery frameworks)”

How to stand out

  • Highlight experience with defining and operationalizing error budgets and SLOs in your resume
    — “Define, implement, and iterate SLIs/SLOs ... trigger corrective action”
  • Demonstrate leadership in incident management and post-incident review processes
    — “Lead incident lifecycle ... high-quality post-incident reviews that drive systemic fixes”
  • Emphasize your ability to reduce toil through automation and proactive failure analysis
    — “Reduce toil via tooling, runbooks, proactive failure analysis”
  • Demonstrate expertise in chaos engineering and fault injection frameworks
    — “Chaos / fault injection frameworks (AWS FIS preferred)”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Defined and implemented SLIs/SLOs
  • Engineered observability
  • Automated infrastructure and deployment workflows
  • Led incident lifecycle
Typical background
3+ years in SRE / Production Engineering / DevOps

Skills & requirements

Required

Site Reliability EngineeringObservabilityInfrastructure AutomationCi/cd PipelinesIncident Management

Preferred

GoPythonTypescript/node.jsRubyAWS FIS

Stack & domain

Site Reliability EngineeringSlis/slosObservabilityInfrastructure AutomationDeployment WorkflowsSelf-healing MechanismsCi/cd PipelinesCapacity & Performance EngineeringToil ReductionArchitectural ReviewsProduction ReadinessLeast-privilegeSecrets ManagementInfrastructure SecurityAlert QualityReliability PatternsDistributed Systems DebuggingChange ManagementDeployment Health GatesRelease SafetyLeadershipCollaborationCommunicationProblem SolvingTeamworkMentorshipInfluenceInfrastructureDistributed SystemsAutomationHigh-velocity DeliveryReliability

About the role

Original posting from BusPatrol via Ashby

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.

Source: BusPatrol careers (Ashby)

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