Senior Backend Engineer, LaunchDarkly
Data Platform
$158-257k
+ RSUs. Salary dependent on location
Feature management for software teams
Be an early applicant
Feature management for software teams
501-1000 employees
Be an early applicant
$158-257k
+ RSUs. Salary dependent on location
501-1000 employees
Company mission
To empower all teams to deliver and control their software.
Role
Who you are
- 6+ years of professional backend software engineering experience, including significant experience with infrastructure, data platform, distributed systems, or data-intensive production systems
- Experience designing, building, operating, and debugging reliable production systems that move, store, process, or query large volumes of data
- Hands-on experience with data pipeline, streaming, orchestration, or batch-processing technologies such as Kinesis, Airflow, Spark, Lambda, Flink, Athena, Kafka, or equivalent systems
- Experience working with analytical, event, warehouse, or operational data stores such as ClickHouse, Postgres, Elasticsearch, Timestream, Glue/Iceberg/S3, Redshift, Databricks, or equivalent systems
- Strong programming experience in Go, Python, SQL, Scala, or similar backend languages
- Familiarity with distributed systems and backend engineering fundamentals such as concurrency, data modeling, failure handling, retries, idempotency, partitioning, backpressure, and high-throughput processing
- Experience with infrastructure-as-code tools such as Terraform or equivalent, and observability tools such as Datadog, New Relic, or equivalent
- A strong ownership mindset for production systems, including maintainability, testing, operational excellence, code quality, collaboration, and clear technical communication
What the job involves
- Software powers the world, and LaunchDarkly empowers teams to deliver and control it safely
- As a Senior Backend Engineer on the Data Platform team, you will help build and operate the distributed data infrastructure that moves, stores, and serves large volumes of product data across LaunchDarkly
- Our systems support customer-facing product capabilities across Experimentation, Metrics, Release Guardian, Observability, AgentControl, and other areas that depend on reliable data
- You will work on streaming and batch processing systems, analytical data stores, warehouse export infrastructure, and the operational foundations needed to keep these systems reliable at scale
- To support this work, we use technologies such as Kinesis, Airflow, Spark, Lambda, Flink, Athena, ClickHouse, Postgres, Elasticsearch, Glue/Iceberg/S3, Terraform, and Datadog
- Exact tool match is less important than strong backend engineering experience, distributed systems judgment, and a track record of owning production systems
- As part of our you-build-it-you-run-it culture, engineers support the systems they build in production, including through an on-call rotation
- Design, build, and operate distributed, data-intensive backend systems that power Data Platform capabilities across Experimentation, Metrics, Release Guardian, Observability, Agent Control, and other product areas
- Own and improve production data infrastructure, including streaming and batch pipelines, analytical data stores, warehouse export systems, observability, alerting, reliability, and performance
- Debug and resolve complex production issues across data pipelines, databases, cloud infrastructure, and distributed systems, including participating in the team’s on-call rotation
- Partner with product managers, frontend engineers, UX designers, and other product engineering teams to deliver reliable customer-facing data capabilities
- Write and review technical proposals, contribute to architecture decisions, and help the team make thoughtful trade-offs around scalability, reliability, cost, and operability
- Improve engineering standards, testing practices, deployment safety, observability, tooling, and operational processes for Data Platform systems
- Write maintainable, well-tested code and actively participate in code reviews, design reviews, and production readiness discussions
Our take
Feature flags are a powerful software development tool, allowing teams to modify system behavior without changing code, therefore minimizing risk. If a business has a new feature they want to test, they can then roll it out to a small set of users before letting it go live. These companies can, for example, get quick feedback on the new feature and fix any bugs, or roll back any changes.
LaunchDarkly allows companies to run tests like this by activating the new code for only a small set of users prior to launch. Typically running these tests requires lots of developer time - a daunting and expensive prospect for most rapidly growing businesses - and can risk disruption to the user experience if testing takes place on the live product.
Demonstrating its value to businesses, the platform is used by the likes of IBM, Intuit and Atlassian. Recently it has seemed to focus on further scaling its growth as it develops towards being a leading business in the feature management space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2021
$200m
SERIES D
Jan 2020
$54m
LATE VC
Total funding: $330.3m
Company benefits
- Full Vision
- Full Dental
- Full Medical
- Flexible Schedule
- Healthy Lunches & Snacks
- Conference & Meetup Access
- Education Stipend
- Personalized Work Station
- Close to Public Transportation
- Bike Parking
- Team Activities
- Unlimited paid time off policy
- Work from home opportunities
- Health insurance
Company HQ
Lakeside, Oakland, CA
Leadership
Edith Harbaugh
(Co-founder, Executive Chair & CEO)Worked as a Product Manager at Vignette, Monster Worldwide, and PlantSense. Previously Product Director at TripIt.
John Kodumal
(Co-founder & CTO)Prior to co-founding LaunchDarkly was Software Development Manager at Atlassian and Bytecode Anaylsis Architect for Coverity.
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