LaunchDarkly

LaunchDarkly

Full Stack Engineer, Observability

Remote - US

Sponsorship not specified$171k-$235kDetected 6 days ago
TypeScriptReactBackend DevelopmentFull-Stack DevelopmentCode ReviewTerraformGrafanaDatadogDevOpsAPI DevelopmentData EngineeringJiraCadenceCommunication

About the role

  • About the Job: LaunchDarkly is looking for a Full Stack Engineer to help close critical enterprise capability gaps in our Observability product.
  • These are the gaps we repeatedly encounter in enterprise deals, and your work will directly influence our ability to win and expand accounts.
  • About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise.

Responsibilities

  • Design and build full-stack features that address enterprise adoption requirements across Observability
  • Own integrations and infrastructure capabilities end-to-end-from API design and backend services to UI surfaces
  • Participate in architecture and design discussions, making well-reasoned trade-offs for scalability, reliability, and maintainability
  • Participate in on-call rotations and maintain production reliability for your features
  • Support standard enterprise workflows: peer review, rollback, compliance, and GitOps-style delivery
  • Build data import and export pipelines connecting O11y to other event tracking and observability solutions
  • Design extensible integration patterns that support a growing ecosystem of enterprise tooling
  • Experience building integrations, data pipelines, or APIs that connect systems at scale
  • Familiarity with Infrastructure-as-Code tooling (Terraform, Pulumi, etc.) or experience building IaC-compatible APIs
  • Observability has strong post-acquisition momentum-we're executing large-scale migrations, shipping net-new capabilities, and building an enterprise pipeline-and we need engineers who can own the work that makes us credible at the enterprise level.

Requirements

  • Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise.
  • Proficiency across the stack-comfortable in TypeScript/React on the frontend and Go (or similar) on the backend

Nice to have

  • Experience with observability tools (Datadog, Grafana, OpenTelemetry, etc.) is a plus
  • Familiarity with LaunchDarkly's feature flagging or Observability product is a plus

Skills

  • Reduce adoption friction for organizations with mature DevOps practices
  • Integrations
  • Connect O11y Alerts to issue trackers (Jira, Linear, PagerDuty, etc.) to close the loop on incident workflows

Compensation

  • Target pay ranges based on Geographic Zones* for Level 3:
  • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400**
  • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860**
  • Zone 3: All other US locations - $ 145,500 - $200,090 **
  • 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.

Benefits

  • Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
  • 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.

Company info

  • Collaborate with product managers, designers, solutions engineers, and customers to understand enterprise requirements and deliver against them
  • Engage with internal stakeholders and occasionally enterprise customers to validate solutions and gather feedback

Equal opportunity

  • We are an equal opportunity employer and value diversity at our company.
  • LD invites any applicant to review our written Affirmative Action Plan.
  • Do you need a disability accommodation?

This listing is sourced directly from LaunchDarkly's careers page and normalized into a canonical job model.