Site Reliability Engineer

Clearwater Analytics India Private Limited

Mumbai

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

Clearwater Analytics India Private Limited is seeking a Software Engineer specializing in Python to develop tools that enhance client deployment monitoring and support across AWS and Azure. This role includes responsibilities like automating internal processes and improving fleet observability.

The ideal candidate will have 3-5 years of experience in software development, strong skills in Python, and hands-on cloud experience. The position offers the opportunity to impact client onboarding and operational efficiency significantly.

Qualifications

  • 3-5 years of experience in software engineering, site reliability engineering, or platform engineering.
  • Strong programming skills in Python.
  • Hands-on experience with AWS or Azure.

Responsibilities

  • Build internal tools and automation primarily in Python.
  • Drive standardization across client environments.
  • Improve fleet-wide observability through monitoring and alerting.

Skills

Python programming
AWS or Azure experience
Infrastructure as code (Terraform)
Linux fundamentals
Automation mindset

Job description

Overview

Beacon by Clearwater is the AI‑powered risk analytics and modeling arm of the Clearwater platform, and this team builds the tooling that keeps a growing fleet of client deployments consistent, observable, and supportable. The focus is on automating repetitive operational work, turning incident learnings into permanent platform fixes, and giving client‑facing teams the self‑service tools they need to onboard and support clients without engineering escalations.

Responsibilities
  • Build internal tools and automation primarily in Python to monitor, diagnose, and support a fleet of client deployments across AWS and Azure.
  • Drive standardization across client environments: detect and remediate configuration and infrastructure drift, converge legacy deployments onto golden paths, and make the standard way the easy way.
  • Improve fleet‑wide observability by building monitoring, alerting, and dashboards that surface problems across all client deployments before clients notice them.
  • Turn runbooks into code; convert the manual diagnostic and remediation steps support engineers perform today into automated checks, self‑healing jobs, and one‑click tools.
  • Extend the client provisioning and deployment pipeline (Terraform, configuration generation) to make onboarding new clients faster and more repeatable.
  • Work directly with client‑facing teams (onboarding, support, client success) to find where operational toil lives.
Desired Qualifications
  • 3‑5 years of experience in software engineering, site reliability engineering, DevOps, or platform engineering.
  • Strong programming skills in Python; comfort writing production‑quality code with tests.
  • Hands‑on experience with at least one major cloud provider (AWS or Azure) covering networking, IAM/RBAC, storage, and compute.
  • Working knowledge of infrastructure‑as‑code, ideally Terraform, and an understanding of managing many environments from shared modules and per‑environment configuration.
  • Solid Linux fundamentals: reading logs, tracing processes, debugging services, and automating manual tasks.
  • An automation reflex – building a tool when a problem is solved twice.
  • A collaborative, service‑oriented mindset focused on internal customers.
Nice‑to‑Have
  • Experience operating multi‑tenant or fleet‑style environments.
  • Observability stack experience (metrics, log aggregation, alerting, dashboards).
  • Formal incident management experience (on‑call, post‑mortems, blameless RCA culture).
  • Exposure to financial services, fintech, or other regulated environments.
Why This Role

Every tool you ship makes onboarding the next client faster and supporting every existing client cheaper. This team is a force multiplier for the entire Beacon business, touching cloud infrastructure, a large Python platform codebase, deployment pipelines, and the human workflows of support and onboarding teams. You’ll work across nearly every layer of a sophisticated financial‑engineering platform, alongside experts in cloud infrastructure, quantitative finance, and large‑scale SaaS operations.

Diversity & Inclusion

Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with the job description, we encourage you to still apply! You may be just what we’re looking for.

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