Senior Site Reliability Engineer – Data Platform

About Revvity

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.

Responsibilities

• 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
• 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

Requirements

• 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