Backend Engineer, LaunchDarkly
AI, P3
$141.9-208.7k
+ RSUs
Feature management for software teams
Be an early applicant
Feature management for software teams
501-1000 employees
Be an early applicant
$141.9-208.7k
+ RSUs
501-1000 employees
Company mission
To empower all teams to deliver and control their software.
Role
Who you are
- Extensive experience with server-side programming languages (e.g. in Java / Scala, Ruby, Python, Go)
- Proficient in designing, implementing, and maintaining RESTful APIs
- Hands-on experience building GenAI features or working with Large Language Models (LLMs), either through direct model integration or leveraging AI APIs like OpenAI, Google Cloud AI, or AWS Bedrock
- Understanding of prompt engineering, fine-tuning models, or deploying AI services in production environments
- Familiarity with computer science fundamentals such as data structures, distributed systems, concurrency, and threading
- Comfortable navigating ambiguous challenges in a rapidly evolving domain
- Passionate about learning new technologies and staying at the forefront of AI advancements
- Strong sense of ownership and accountability for delivering impactful solutions
- Proven ability to work closely with Product and Design teams to define requirements for new features in a fast-paced iterative 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
What the job involves
- The LaunchDarkly AI team is on a mission to extend the value of the LaunchDarkly platform for software teams building AI applications
- As a Backend Engineer on the AI team, you will play a pivotal role in designing, building, and maintaining scalable and reliable backend systems to power innovative features that address the unique challenges of AI development and deployment
- You'll have an opportunity to work on cutting-edge backend challenges in the rapidly evolving AI space
- You will design and implement API methods, develop robust integrations with AI model providers (e.g., OpenAI, Google Cloud AI, AWS Bedrock), and optimize backend systems to handle metrics visualization, monitoring, and progressive rollouts for AI features
- You’ll collaborate closely with the Product and Design teams to help define technical solutions for a 0→1 product and work with early adopters—both external customers and internal teams—to refine and scale the system
- Build and optimize scalable backend systems to support AI models and services
- Tackle complex technical problems, utilizing your expertise to analyze data and evaluate variables, providing innovative solutions that meet the unique needs of AI development and deployment
- Work closely with other engineering teams, product managers, and stakeholders to ensure that the backend architecture aligns with both technical and business objectives
- Determine methods, procedures, and processes for new assignments, ensuring the best practices are adhered to and that projects are completed efficiently and effectively
- Continuously optimize the performance, reliability, and scalability of backend systems, ensuring the seamless integration of AI models into production environments
- Contribute to the evolution of AI solutions by applying new technologies and techniques to improve backend processes, drive innovation, and push the boundaries of AI deployment
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.
The platform is used by more than 1,500 customers, including the likes of IBM, Intuit and Atlassian. Signalling a change in strategy, the company shook up its management in 2023 and is now aiming to scale its already strong growth under the leadership of Dan Rogers, a product and marketing specialist with an impressive track record at Rubrik, AWS and Microsoft. It is now well poised to develop into a leading business in the feature management space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
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 values
- Build together, win together
- Create customer champions
- Learn and grow
- Widen the circle
- Work impactfully, work sustainably
Company HQ
Lakeside, Oakland, CA
Articles
Leadership
Edith Harbaugh
(Executive Chair)Worked as a Product Manager at Vignette, Monster Worldwide, and PlantSense. Previously Product Director at TripIt.
John Kodumal
(CTO)Prior to co-founding LaunchDarkly was Software Development Manager at Atlassian and Bytecode Anaylsis Architect for Coverity.
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