LaunchDarkly Logo

LaunchDarkly

Full Stack Engineer - Observability

Sorry, this job was removed at 05:05 p.m. (PST) on Friday, May 22, 2026
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

Similar Jobs

One Month Ago
Remote
United States
154K-185K Annually
Senior level
154K-185K Annually
Senior level
Software
Build and maintain Grafana Cloud integrations and observability features across frontend (TypeScript/React), backend (Golang), and monitoring mixins (Jsonnet). Ship end-to-end features, own projects to production, contribute upstream to OpenTelemetry/Prometheus, run on-call for owned services, and communicate designs and demos across teams.
Top Skills: AnthropicGo (Golang)Google ModelsGrafanaGrafana AlloyJsonnetOpenaiOpentelemetryOpentelemetry CollectorPrometheusReactTypescript
One Month Ago
Remote
United States
146K-235K Annually
Senior level
146K-235K Annually
Senior level
Information Technology • Software
The Full Stack Engineer will design and build features for LaunchDarkly's Observability product, focusing on Infrastructure-as-Code and enterprise integrations, while participating in architecture discussions and maintaining high engineering standards.
Top Skills: DatadogGoGrafanaOpentelemetryPulumiReactTerraformTypescript
5 Minutes Ago
Remote
United States
130K-150K Annually
Senior level
130K-150K Annually
Senior level
Fintech • Financial Services
Lead the design and execution of global total rewards programs, including compensation bands, benefits strategy, equity and incentive plans, job leveling, pay equity, and annual compensation cycles. Advise executives, HR business partners, and talent acquisition using market data, financial modeling, and internal equity analysis. Optimize total rewards systems and programs across a growing global organization.
Top Skills: CandoriqPavePayscaleRippling
About the Job:

LaunchDarkly is looking for a Full Stack Engineer to help build and expand Vega, our AI-powered platform that surfaces insights and automates actions across LaunchDarkly products. This is a greenfield opportunity: you'll help evolve Vega from an Observability-focused assistant into a cross-product platform that serves Feature Management customers and powers a new, usage-based SKU.

You'll build the surfaces, APIs, and agent infrastructure that make Vega and the whole Observability platform broadly valuable—enabling capabilities like AI-driven dashboard creation, flag cleanup automation, and sandboxed agent execution. You'll work across the full stack (React/TypeScript UI, Go services, data pipelines) and collaborate closely with product, design, and other engineering teams to shape how AI capabilities land across LaunchDarkly. Additionally, you’ll work on other Enterprise-grade capabilities for the Observability platform to help drive customer activation and success.

What You'll Work On:
  • Expand Vega beyond Observability into Feature Management, including the flag cleanup agent as a cross-product capability
  • Support enterprise capabilities for the Observability platforms: building data import and export pipelines to connect O11y to other platforms and enabling new customer workflows.
  • Build a platform that other teams can contribute to—defining contribution patterns, shared infrastructure, and safe, sandboxed AI agent execution
  • Enable dashboard creation via natural language prompts, using existing Vega infrastructure as a foundation
  • Consolidate Vega usage into fewer, higher-value surfaces, enabling faster iteration and justifying a usage-based monetization model
  • Run experiments to expose Vega to mainstream FM customers across core workflows, measuring adoption and informing monetization
  • Partner with product and design to ensure Vega capabilities are intuitive, well-integrated, and impactful for end users
  • Contribute to architecture decisions, code reviews, and engineering standards across the Observability and Vega teams
Responsibilities:
  • Design, build, and ship full-stack features across the Vega platform (UI, APIs, backend services, and agent infrastructure)
  • Own features end-to-end: from prototype and API design through production rollout and iteration
  • Collaborate cross-functionally with product managers, designers, and engineers across Observability and Feature Management
  • Participate in architecture discussions and technical design reviews, contributing to sound trade-off decisions
  • Write well-tested, maintainable code and promote best practices for quality, observability, and reliability
  • Mentor teammates and contribute to a collaborative, high-trust engineering culture
  • Participate in on-call rotations and take ownership of production reliability for your features
About You:
  • 3+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features
  • Proficiency across the full stack—comfortable in TypeScript/React on the frontend and Go (or similar) on the backend
  • Experience building or integrating LLM-powered features, agents, or AI-driven workflows
  • Strong product instincts: you care about user experience and can translate ambiguous requirements into clean, well-scoped solutions
  • Collaborative and communicative—you work well across teams and functions, and you're comfortable navigating ambiguity
  • Familiarity with LaunchDarkly, feature flagging, or observability tooling is a plus
  • Experience with usage-based product surfaces, experimentation platforms, or developer tooling is a plus

Pay:

Target pay ranges based on Geographic Zones* for Level 2:

  • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660**
  • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850**
  • Zone 3: All other US locations - $116,000 - $159,500 *

LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

  • Improving the velocity and stability of software releases, without the fear of end customer outages
  • Delivering targeted experiences by easily personalizing features to customer cohorts
  • Maximizing the business impact of every feature through the ability to experiment and optimize
  • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
  • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at [email protected]

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to [email protected].

HQ

LaunchDarkly Oakland, California, USA Office

Our office is centrally located in the financial district of downtown Oakland, steps away from BART, Lake Merritt, with plenty of restaurants, bars, and coffee shops within 5-10 minutes. From the office, we have beautiful sweeping views of Lake Merritt and the Oakland Hills.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account