Senior Site Reliability Engineer – Data Platform

Job Title

Senior Site Reliability Engineer – Data Platform

Location(s)

Shanghai

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity

Responsibilities

• Work closely with Development, Support and DevOps teams to efficiently resolve any issues affecting Customers of our Signals Cloud and OnPrem software products

Own CI/CD and repository governance

workflow hardening, branch protection, required status checks, secure release automation

• Own system reliability and the end-to-end monitoring ecosystem for a large-scale data platform

Design, build, and operate an automated alert-triage system that deduplicates, routes, and auto-classifies operational alerts, backed by a searchable knowledge base of known failure modes

Manage monitoring infrastructure as code (Terraform), keeping alert behavior consistent across dev/qa/prod environments

• Produce design documents, runbooks, and incident/lessons-learned knowledge; mentor teams on on-call best practices

Work Areas

• Become a subject matter expert for our Signals Data Factory features and capabilities, both SaaS and On Prem
• Craft tooling and application code that’s well-documented, testable and reusable, using various backend technologies (Python, Node, Kotlin, Scala)
• Work with AWS services and cloud technologies, Jenkins and git workflows
• Migrate hand-configured monitor rules into declarative, version-controlled definitions with a soak-and-cutover rollout process
• Remediate CI flakiness, upgrade runner tooling, and enforce engineering guardrails across many repositories
• Handle production incidents via a ticketed workflow, from triage through root-cause fix and prevention

Continuously tune alerting and monitoring quality

suppress noise, consolidate duplicate rules, and validate parity before routing changes

Required Skills

SRE practices

on-call, incident triage, runbooks, canary/soak-style safe rollouts, blameless postmortems

• GitHub Actions or equivalent CI/CD systems, plus repository and release governance

Experience leveraging AI-assisted development and code-review tooling to boost delivery quality

Data-platform familiarity

large-scale pipelines, table/store design under concurrent access

Strong AWS experience

SQS, EMR/Spark, RDS, IAM least privilege, Secrets Manager/SSM, Lambda, DynamoDB

• Terraform / infrastructure-as-code at scale, including module design and multi-environment promotion
• Deep monitoring/observability tooling experience (e.g., Sumo Logic, Instana, Datadog, or similar) and alert-design expertise

Programming across multiple languages a plus

Python, TypeScript/Node.js, Scala or Spark, plus shell scripting