Requirements

5+ years of professional software engineering experience with a focus on backend application systems or distributed platforms
Demonstrated experience designing and shipping production systems at scale, handling high throughput, low latency, and enterprise reliability requirements
Strong proficiency in one or more server-side languages such as Go, Java, Scala, Python, or similar
Ability to work independently and take ownership of complex technical problems from scoping through delivery
Experience collaborating across engineering, product, and infrastructure teams in a fast-moving, high-ownership environment
Strong analytical thinking and structured problem-solving skills with a track record of shipping impactful, customer-facing work
A BS/MS in Computer Science, Engineering, or equivalent experience

Nice to Haves

Experience with observability platforms, telemetry pipelines, or distributed tracing and logging systems (e.g., OpenTelemetry, Prometheus, Jaeger)
Experience building or contributing to AI-assisted developer tools or LLM-integrated workflows
Background in SRE practices, incident response automation, or root-cause analysis tooling
Open-source contributions to observability, data infrastructure, or developer productivity projects

Design, build, and own core features, APIs, and business logic for a high-performance observability platform for enterprise customers
Take end-to-end ownership from technical scoping and architecture through deployment ensuring enterprise reliability and performance
Collaborate with product, infrastructure, and data teams to deliver solutions enabling fast, actionable insights for engineering teams worldwide
Partner with SREs and customer-facing teams to diagnose and resolve production issues using AI-assisted workflows to accelerate root-cause analysis
Contribute to high engineering standards through thoughtful code review, mentorship, and architectural influence