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Site Reliability Engineer (Platform Reliability & Uptime)
Site Reliability Engineer (Platform Reliability & Uptime)
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Site Reliability Engineer (Platform Reliability & Uptime)

Anubhav Kumar Rai's profile picture
Posted by Anubhav Kumar Rai
2 - 5 yrs
₹5.4L - ₹7.2L / yr
Bengaluru (Bangalore)
Skills
DevOps
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
Windows Azure

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most systems don’t fail because of one big outage.

They fail because reliability is treated as an afterthought.

Right now, uptime depends too much on individual heroics.

That doesn’t scale.

This role exists to build a reliability system where:

  • Uptime is predictable
  • Failures are contained
  • Escalations don’t depend on leadership

What you’ll do

You will not just monitor systems.

You will own reliability as a product.

1. Drive uptime to production-grade reliability

  • Improve system uptime to 99.9% customer-facing SLA within 4 months
  • Define and track:
  • SLAs / SLOs / error budgets
  • Ensure reliability is measured from the customer’s perspective, not internal metrics

2. Build incident response as a system

  • Set up a 24/7 incident response rotation across 3 engineers
  • Eliminate dependency on leadership (no single escalation point)
  • Define:
  • Incident severity levels
  • Response playbooks
  • Escalation protocols
  • Ensure fast detection → containment → resolution

3. Contain and fix erratic system behavior

  • Identify and resolve:
  • Latency spikes
  • Downtime incidents
  • Integration failures
  • Build guardrails to prevent recurrence
  • Focus on root cause elimination, not temporary fixes

4. Create continuous reliability feedback loops

  • Work closely with engineering teams to:
  • Surface recurring failure patterns
  • Improve build quality
  • Reduce production bugs
  • Ensure learnings from incidents directly improve future releases

5. Improve observability and monitoring

  • Build dashboards and alerts for:
  • System health
  • Performance metrics
  • Failure signals
  • Ensure issues are detected before customers report them

6. Reduce operational fragility

  • Remove single points of failure (people, systems, workflows)
  • Improve system resilience across:
  • Deployments
  • Integrations
  • Runtime environments

What success looks like

  • Uptime reaches 99.9%+ reliably
  • Incidents are:
  • Detected early
  • Contained quickly
  • Resolved permanently
  • No dependency on a single individual for escalation
  • System behavior becomes predictable and stable
  • Engineering teams ship with higher reliability confidence

Who you are

  • You have 2-5 years of experience in SRE / DevOps / backend systems
  • You have worked on production systems with real uptime expectations
  • You think in:
  • Systems
  • Failure modes
  • Trade-offs
  • You are comfortable debugging live, high-pressure environments

What will make you stand out

  • Experience with:
  • Distributed systems
  • Cloud infrastructure (AWS / Azure / GCP)
  • Monitoring & alerting tools
  • Have built or improved:
  • Incident response systems
  • Reliability frameworks
  • Strong debugging skills across:
  • Infra
  • Application
  • Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

  • You will define reliability standards for a production AI platform
  • Your work directly impacts:
  • Customer trust
  • Product performance
  • Enterprise readiness
  • You will move the system from reactive → predictable

What this role is not

  • Not just monitoring dashboards
  • Not limited to handling tickets
  • Not dependent on escalation to leadership

What this role is

  • A builder of reliability systems
  • A guardian of uptime and performance
  • A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Agentic Universe

Founded :
2022
Type :
Product
Size :
20-100
Stage :
Raised funding

About

Agentic Universe - AI Agents that run outcomes for your teams
Read more

Company social profiles

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Shubham Vishwakarma

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