[Remote] Backend Engineer, Data Platform at LaunchDarkly

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

5+ Years of backend software engineering experience
Minimum of 1 year experience building product focused Data Pipelines or Data Warehouse
Demonstrable experience with data pipelines, including some of Kinesis, Airflow, Spark, Lambda, Flink and Athena
Experience with event or analytical data sets in databases including some of Clickhouse, Postgres, ElasticSearch, Timestream and Snowflake
Familiarity with computer science fundamentals such as data structures, distributed systems, concurrency, and threading
A commitment to working in a communicative and collaborative environment
You write code that can be easily understood by others, with an eye towards maintainability
You hold yourself and others to a high bar when working with production systems
You value high code quality, automated testing, and other engineering best practices
Familiarity with Infrastructure-as-Code tools like Terraform or equivalent
Familiarity with observability tools like Datadog or equivalent

Responsibilities

Build and expand our data pipelines and data products supporting Experimentation, Release observability, Metrics, Product Analytics and Flag Insights product lines, as well as internal Business Intelligence
Collaborate with frontend engineers, product managers and UX designers to deliver user-facing features
Monitor and improve database and pipeline performance
Write unit, integration, and load tests as necessary
Actively participate in code reviews
Write and review technical proposals
Improve engineering standards, tooling, and processes

Skills

Key technologies and capabilities for this role

KinesisAirflowSparkLambdaFlinkAthenaClickHousePostgresElasticsearchTimestreamSnowflakeAWSData PipelinesDistributed SystemsConcurrency

Questions & Answers

Common questions about this position

What is the pay range for this Backend Engineer role?

Target pay ranges for Level 4 are Zone 1 (San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle): $187,000 - $257,000; Zone 2 (Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago): $168,000 - $231,000; Zone 3 (All other US locations): $158,000 - $218,000. Exact compensation may vary based on skills and experience.

Is this role remote or does it require working from an office?

The job description implies remote work is possible across US locations in different geographic zones, including 'All other US locations' in Zone 3, but specific remote or office policies are not detailed.

What skills and experience are required for this position?

Requires 5+ years of backend software engineering experience, minimum 1 year building product-focused data pipelines or data warehouse, experience with data pipelines including some of Kinesis, Airflow, Spark, Lambda, Flink, Athena, and databases like Clickhouse, Postgres, ElasticSearch, Timestream, Snowflake. Also needs familiarity with computer science fundamentals, Infrastructure-as-Code like Terraform, observability tools like Datadog, and a commitment to high code quality and collaboration.

What is the company culture like for this role?

The culture emphasizes a 'you-build-it-you-run-it' approach where engineers support pipelines in production including on-call rotation, high trust and transparency, collaboration with teams, high code quality, automated testing, and engineering best practices.

What makes a strong candidate for this Data Platform Engineer role?

Strong candidates have 5+ years backend experience with at least 1 year in data pipelines, hands-on work with AWS tools like Kinesis, Spark, Flink and databases like Clickhouse or Snowflake, plus skills in maintainable code, collaboration, production reliability, IaC, and observability.

LaunchDarkly

Feature management platform for software developers

About LaunchDarkly

LaunchDarkly provides a platform for developers to manage and automate software features. Its main product is a feature management platform that allows developers to control software features, enabling safe code shipping, self-serve experimentation, personalized user experiences, and improved reliability of applications. This platform allows developers to revert feature behaviors without code changes, enhancing productivity. LaunchDarkly operates on a subscription model, charging clients for access to its services. The platform helps clients innovate quickly, automate software releases, reduce delivery costs, and maximize the impact of software features. The goal is to improve software development processes for a diverse range of clients in the DevOps market.

Oakland, CaliforniaHeadquarters

2014Year Founded

$321.3MTotal Funding

SERIES_DCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

501-1,000Employees

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.

Risks

Competition from Harness, acquiring Split.io, threatens LaunchDarkly's market share.

Guardian Edition's complexity may confuse customers and complicate sales.

Expansion into the EU region may increase operational costs and regulatory scrutiny.

Differentiation

LaunchDarkly offers advanced feature flagging and experimentation capabilities for progressive delivery.

The platform supports EU data residency, enhancing compliance for European clients.

LaunchDarkly integrates feature management with CI/CD pipelines for seamless software delivery.

Upsides

LaunchDarkly's Galaxy Product Release enhances personalized user experiences and feature optimization.

The appointment of Claire Vo as CPO is expected to drive platform innovation.

Recognition as a Strong Performer by Forrester boosts LaunchDarkly's market credibility.

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