Requirements

2 - 5 years of professional software engineering experience focused on backend application systems or distributed platforms
Experience designing and shipping production systems at scale with high throughput, low latency, and enterprise reliability
Strong proficiency in server-side languages such as Go, Java, Scala, Python, or similar
Ability to independently own complex technical problems from scoping through delivery
Experience collaborating across engineering, product, and infrastructure teams in a fast-paced environment
Strong analytical thinking and structured problem-solving skills with a track record of impactful customer-facing work
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
Take end-to-end ownership from technical scoping and architecture to deployment, ensuring enterprise reliability and performance
Collaborate with product, infrastructure, and data teams to deliver fast, actionable insights for engineering teams globally
Partner with SREs and customer-facing teams to diagnose and resolve production issues using AI-assisted workflows
Contribute to high engineering standards through code reviews, mentorship, and architectural influence