Cyberhaven

Senior/ Staff Software Engineer (Data Processing)

Cyberhaven
Apply
2 months ago
Remote, EMEA or Bengaluru, IndiaSenior / Staff+

Responsibilities

  • Design, extend, and optimize large-scale, highly scalable, fault-tolerant systems handling graph datasets and real-time event processing.
  • Architect and implement security products that protect customer data.
  • Build and ship production backend services in Go.
  • Analyze and troubleshoot performance and scaling issues in distributed systems using large databases and streaming platforms.
  • Develop secure-by-design software capable of processing untrusted data and communicating with large numbers of endpoints.
  • Potentially build API-level connectors integrating with enterprise SaaS applications.
  • Collaborate with distributed teams and incorporate direct customer feedback.

Requirements

  • 4+ years of software engineering experience.
  • Strong hands-on experience with Go and production backend services.
  • A strong track record building and extending large-scale backend applications and their architectures.
  • Experience using databases at very large scale; knowledge of Google Cloud Platform services is a plus.
  • Experience profiling and optimizing distributed code using large databases and streaming platforms.
  • Hands-on experience with microservices and Kubernetes.
  • Excellent written and verbal English communication skills.
  • Ability to work in fast-paced, ambiguous environments and ship quickly.
  • Customer-centric mindset and willingness to communicate frequently with teams in Europe and the US.
  • For the India location, candidates must be based in Bangalore; EU-based talent may work remotely.

Tech Stack

DockerGoGoogle BigQueryKubernetesRedis

Categories

Cyberhaven

About Cyberhaven

201-500 employees

Cyberhaven builds an enterprise data security platform that traces data lineage and enforces policy to prevent loss and insider risk across endpoints, SaaS, and cloud. It sells software and SaaS subscriptions to security teams to replace or augment DLP and DSPM with real-time protection that adapts to workflow context, including human and AI agent activity. Founded in 2016 and headquartered in Palo Alto, California, the company is privately held.

Contact me