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Senior Site Reliability Engineer – Data Platform

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Before you apply
LocationShanghai
SenioritySenior
Company size10,000+ people
PostedNov 2, 2026 · 3d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
Node.js
Kotlin
Scala
AWS
Terraform
Jenkins
git
GitHub Actions
CI/CD
SQS
EMR
Spark
RDS
IAM
Secrets Manager
SSM
Lambda
DynamoDB
Sumo Logic
Instana
Datadog
TypeScript
shell scripting
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