Backend Engineer - Vega AI Observability Platform

Coinscapture; Northern (KY); Hybrid; USD 146,000 - 200,000; Full time

Benefits offered by this job

RSUs

Health, vision, and dental insurance

Mental health benefits

Job summary

LaunchDarkly is seeking a Backend Engineer to build Vega, our AI-powered platform, and expand its capabilities across Observability and Feature Management. You will design APIs, Go services, and data pipelines at scale, evolving Vega from an Observability-focused assistant into a cross-product solution powering usage-based SKUs.

You will collaborate with product, design, and other engineering teams, own features end-to-end, and participate in on-call rotations to ensure reliability and

Qualifications

• 5+ years of professional software engineering experience shipping backend systems.
• Proficient in Go and API/distributed services design.
• Experience with LLM-powered features or AI-driven workflows.
• Experience with data-intensive systems such as streaming pipelines or high-volume ingest.
• Familiarity with LaunchDarkly or feature flagging is a plus.
• Collaborative and communicative across teams.

Responsibilities

• Design, build, and ship backend features across the Vega platform (APIs, Go services, data pipelines).
• Own features end-to-end from prototype to production rollout and iteration.
• Operate high-throughput data systems with reliability and cost-efficiency.
• Collaborate with product, design, and other engineers across Observability and Feature Management.
• Mentor teammates and participate in on-call rotations for production reliability.

Skills

Go

APIs design

Distributed services

LLM features

Data-intensive systems

5+ years experience

Collaboration

Tools

ClickHouse

ETL pipelines

Job description

LaunchDarkly is seeking a Backend Engineer to build Vega, our AI-powered platform, and expand its capabilities across Observability and Feature Management. You will design APIs, Go services, and data pipelines at scale, evolving Vega from an Observability-focused assistant into a cross-product solution powering usage-based SKUs.

You will collaborate with product, design, and other engineering teams, own features end-to-end, and participate in on-call rotations to ensure reliability and