Senior Backend Engineer - Integrations & Real-Time Data

Cssmerge

Mountain View (CA)

On-site

USD 176,000 - 242,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Vision and dental coverage
Life and disability insurance
401(k)

Job summary

Cssmerge is seeking a Senior Backend Engineer on Integrations in Mountain View to architect middleware that normalizes external platforms and propagates updates in real time. You will design scalable data models and scheduling systems for thousands of integrations, focusing on low latency and robust fault tolerance.

You’ll tackle high‑throughput challenges, build universal abstractions, and drive data syncing strategies across distributed services.

Qualifications

  • 3+ years building backend systems in Java or Go.
  • Strong concurrency patterns and race-condition prevention.
  • Experience integrating with third-party APIs.
  • Relational and NoSQL data modeling expertise.
  • Familiarity with distributed architectures and microservices.

Responsibilities

  • Architect Universal Abstractions: Design and implement unified data models (APIs) that abstract away the complexity of hundreds of disparate external systems.
  • Build Scheduling & Initiative-Based Systems: Design sophisticated distributed schedulers and workflow engines that proactively drive data synchronization.
  • Master High-Concurrency Environments: Write high-performance code that safely manages shared resources under heavy load.
  • Scale the "Adapter" Ecosystem: Create developer frameworks and tooling for rapid integration with new external partners.
  • Drive Technical Strategy: Lead decisions on bi-directional data syncing and data consistency across distributed systems.

Skills

Backend development
Java / Go
Concurrency
API integrations
Database design
Distributed systems
Observability

Tools

Kafka
RabbitMQ
SQS
PostgreSQL
MongoDB
DynamoDB

Job description

Cssmerge is seeking a Senior Backend Engineer on Integrations in Mountain View to architect middleware that normalizes external platforms and propagates updates in real time. You will design scalable data models and scheduling systems for thousands of integrations, focusing on low latency and robust fault tolerance.

You’ll tackle high‑throughput challenges, build universal abstractions, and drive data syncing strategies across distributed services.

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