Full-Time

Backend Engineer

Grepr

Grepr

AI-driven data filtering and routing observability

Compensation Overview

$130k - $160k/yr

+ Equity

Company Does Not Provide H1B Sponsorship

San Francisco, CA, USA

Hybrid

Must be on-site at the SF office at least 3 days per week.

Category
Software Engineering (1)
Required Skills
Kubernetes
Java
AWS
REST APIs
Requirements
  • Experience with distributed systems
  • Experience with modern Java web applications
  • Experience with RESTful APIs for end users and front-end development
  • Proficiency in Java and building web applications (Dropwizard is a plus)
  • Experience with real-time stream processing and building streaming pipelines
  • Experience with Kubernetes and Amazon Web Services
Responsibilities
  • Own the backend that powers the user-facing real-time streaming application and ensure uptime and scalability
  • Deliver clear and intuitive RESTful APIs for end users and front-end developers
  • Translate user intents into complex streaming Flink pipelines and manage streaming pipelines on behalf of users
  • Collaborate with customers and front-end developers to deliver an excellent user experience
Desired Qualifications
  • Experience with Apache Flink and stream processing in production environments
  • Experience building large-scale data analytics applications
  • Experience at an early-stage startup or fast-paced evolving environment
  • On-site collaboration and team-first culture familiarity (not strictly required)

Grepr provides an observability platform that helps engineering teams reduce costs by using AI to analyze data usage and route only what matters to observability tools. It combines an observability data lake with an intelligent pipeline, enabling relational queries across all observability data in one place. The system automatically filters, aggregates, and routes data, supports dynamic backfilling during incidents, and reduces log volume through summarization while sampling traces. It enables querying retained data, generating reports, powering AI, and triggering backfill via webhooks or the interface, without migrations, focusing on cost reduction and data access for engineers.

Company Size

N/A

Company Stage

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Total Funding

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Headquarters

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Founded

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Simplify Jobs

Simplify's Take

What believers are saying

  • DORA compliance drives financial firms to adopt Grepr's cost-reduced audit trails.
  • Kubernetes growth boosts demand for Grepr's noise-filtering log management.
  • Vendor-agnostic architecture attracts enterprises avoiding observability lock-in.

What critics are saying

  • Datadog LogReaper launched Q1 2026 integrates AI summarization, eroding Grepr proxy need.
  • New Relic AI Cost Optimizer from February 2026 captures Grepr's no-migration customers.
  • Metronome Observability debuted July 2025, stealing Grepr adopters via VC promotion.

What makes Grepr unique

  • Grepr uses AI-driven semantic clustering to aggregate similar logs before forwarding.
  • Dynamic backfilling from data lake ensures full troubleshooting data during incidents.
  • Vendor-agnostic pipelines support Datadog, Splunk, New Relic without migrations.

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Benefits

Health Insurance

Unlimited Paid Time Off

Company Equity