Datorth
Full-time Hybrid · New York, NY

Senior Streaming Engineer

Architect and scale Datorth’s low-latency streaming platform that powers mission-critical workloads for enterprises worldwide.

Latency < 90 ms SLA
Scale Petabyte streams
Impact Global customer deployments
Core charter

Engineering excellence

Design streaming services that are reliable, observable, and ready for multi-region scale.

Leadership

Mentor & influence

Coach engineers, shape roadmap priorities, and collaborate with product on customer outcomes.

24/7 Platform reliability mindset

What you’ll drive

Own end-to-end streaming service architecture while partnering with product, platform, and customer teams.

⚙️

Streaming architecture

Design and evolve services built on Kafka, Flink, Spark, and cloud-native runtimes.

  • Define reference architectures and guardrails
  • Optimize throughput, latency, and cost efficiency
  • Lead technical design reviews and RFCs
🛡️

Reliability & governance

Embed observability, failover, and policy automation into every pipeline.

  • Develop SLIs/SLOs and alerting strategies
  • Automate schema evolution & quality checks
  • Partner with SRE on incident response & tooling
🤝

Cross-functional leadership

Collaborate with product managers, data scientists, and success teams to unlock customer outcomes.

  • Translate business requirements into engineering milestones
  • Guide proof-of-concepts and customer onboarding
  • Mentor engineers through pairing and code reviews

What we’re looking for

Senior engineers who love operating streaming systems at scale and enjoy collaborating across the entire data product lifecycle.

Qualifications

7+ years of experience building distributed data systems with a focus on streaming.

  • Deep knowledge of Kafka, Flink, Spark Streaming, or Pulsar
  • Hands-on experience with Java/Scala or Kotlin; Python a plus
  • Strong grounding in data modeling, partitioning, and replication strategies

Skills that shine

Proven track record scaling systems from pilot to production while ensuring observability and governance.

  • Terraform/Kubernetes infrastructure literacy
  • Experience with OpenTelemetry, Prometheus, or Grafana
  • Ability to communicate complex concepts clearly

Why Datorth

Work on a modern data platform powering real-time AI and analytics for global enterprises.

  • Hybrid collaboration hub minutes from NYC
  • Equity, performance bonus, and comprehensive benefits
  • Inclusive, mentorship-driven engineering culture

Interview process

We value depth, collaborative problem solving, and pragmatic thinking.

  • Intro call with recruiting & hiring manager
  • Technical deep dive + pair design exercise
  • Cross-functional conversations with product & success

Ready to engineer streaming at scale?

Send your resume, a short intro, and links to relevant projects or talks. We’d love to learn more.

Apply for Senior Streaming Engineer
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