Full-Time

Backend Engineer

Metrics

Posted on 9/17/2025

LaunchDarkly

LaunchDarkly

501-1,000 employees

DevOps feature management and experimentation platform

Compensation Overview

$158k - $257k/yr

+ Restricted Stock Units (RSUs) + Health Insurance + Vision Insurance + Dental Insurance + Mental Health Benefits

San Francisco, CA, USA

Hybrid

Category
Software Engineering (1)
Required Skills
Datadog
Airflow
Data Structures & Algorithms
Apache Spark
Kinesis
Postgres
Go
Elasticsearch
Terraform
REST APIs
Snowflake
Requirements
  • Extensive experience with server-side programming (preferably Golang)
  • Strong proficiency in building and maintaining RESTful APIs
  • Solid understanding of core CS concepts: data structures, distributed systems, concurrency, and threading
  • Familiarity with event ingestion and querying across technologies like ClickHouse, Postgres, ElasticSearch, Timestream, Snowflake, or Glue/Iceberg/S3
  • Experience working with stream and batch processing tools such as Kinesis, Airflow, Spark, Lambda, Flink, or Athena (or equivalents)
  • Hands-on experience with infrastructure-as-code tools like Terraform (or equivalent)
  • Proficiency with observability tools such as Datadog (or equivalent)
Responsibilities
  • Design, build, and maintain backend services that power Experimentation and Release Guardian at scale
  • Evaluate and shape new product features from a technical perspective, identifying opportunities, tradeoffs, and implementation paths
  • Develop internal APIs that connect customer events to experimentation and release safety workflows
  • Collaborate with data pipeline teams to ensure accurate, reliable event processing and delivery
  • Partner with product and engineering teams to integrate event-driven features into products like AI Configs, Observability, and Product Analytics
  • Improve service reliability through observability, alerting, and operational tooling
  • Actively participate in code reviews, spec discussions, and architecture design
Desired Qualifications
  • Experience with CI/CD tooling like Spinnaker or CircleCI (or equivalents)
  • Familiarity with A/B testing frameworks, experimentation platforms, or statistical methods for measuring feature performance

LaunchDarkly provides a feature management platform for developers in the DevOps space. It helps teams control and automate features in their software so they can ship code safely, run experiments themselves, deliver personalized experiences, and revert feature behavior without changing code. The platform typically runs as a subscription service that integrates into development workflows to reduce risk, speed up releases, and maximize the impact of each software feature. Its differentiation comes from a developer-first approach that emphasizes in-production feature flags, self-serve experimentation, and targeting options to improve reliability and productivity. Overall, LaunchDarkly aims to help customers innovate faster, automate and de-risk software releases, lower delivery costs, and boost the business impact of features.

Company Size

501-1,000

Company Stage

Series D

Total Funding

$330.3M

Headquarters

Oakland, California

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • AI Configs and Vega agent automate regression diagnosis and feature optimization.
  • Houseware acquisition adds warehouse-native analytics for faster experimentation velocity.
  • Enterprise adoption accelerates as DevOps teams standardize safe releases at scale.

What critics are saying

  • Split.io's 20-30% lower pricing erodes market share among cost-sensitive teams.
  • Snowflake's native Cortex AI experimentation directly competes, reducing third-party dependency.
  • Vega's 35% false positive rate on regressions drives developer distrust and churn.

What makes LaunchDarkly unique

  • 45 trillion daily evaluations with sub-200ms flag updates enable production-scale feature management.
  • Integrated observability via Highlight acquisition provides error monitoring and session replay.
  • Snowflake Native App enables warehouse-native experimentation without data movement.

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Benefits

Flexible work environment - Making an inclusive space for everyone means recognizing we all have our own individual working styles and needs.

Health and wellness - LaunchDarkly offers full coverage with health, dental, and vision plans for you and your dependents.

Salary and options - We're all in this together. LaunchDarkly offers competitive pay, equity, and the option to participate in a 401(k) program.

Learn and grow - We love to see our own continue to grow their skill sets—whether that's taking a class or attending a conference.

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-1%
AI Transform
Oct 13th, 2025
LaunchDarkly revolutionises software management with AI-powered Vega

LaunchDarkly has unveiled Vega, an AI-powered diagnostic agent designed to pinpoint root causes and recommend solutions for software regressions at the moment of release.

CNBC
Jun 25th, 2025
Asana picks Dan Rogers, formerly of ServiceNow, to replace CEO Dustin Moskovitz

Asana's new CEO, Dan Rogers, comes from software startup LaunchDarkly, where he was CEO.

LaunchDarkly
May 14th, 2025
Galaxy 2025: Building boldly in the age of AI

LaunchDarkly Group unveiled new capabilities for AI Configs - your control plane for managing prompt and model configurations at runtime.

Digitpatrox
Apr 28th, 2025
LaunchDarkly to "double down" on observability with Highlight acquisition

Feature management specialist LaunchDarkly has announced the acquisition of open-source observability platform, Highlight.

FF News
Apr 23rd, 2025
LaunchDarkly Acquires Highlight to Make Guarded Software Releases the New Standard, as UK Industries Grapple With Mounting Tech Outages

LaunchDarkly, the comprehensive feature management platform that lets software and AI development teams ship faster while de-risking their releases, today announces the acquisition of Highlight, a powerful, open source, full-stack application monitoring platform known for its error monitoring, logging, distributed tracing and session replay capabilities.

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