Backend Engineer, Observability

About the Role

We are representing a confidential feature management platform seeking a Backend Engineer, Observability to join their team in the USA. This is an exciting greenfield opportunity to help build and expand an AI-powered platform that surfaces insights and automates actions across their product suite.

You'll be instrumental in evolving their observability assistant into a cross-product platform that serves enterprise customers and powers new usage-based capabilities. This role involves building APIs, services, and agent infrastructure at significant scale, working primarily in Go services and data pipelines. You'll collaborate closely with product, design, and engineering teams to shape how AI capabilities integrate across the platform.

Responsibilities

• Design, build, and ship backend features across the AI platform including APIs, Go services, agent infrastructure, and data pipelines
• Own features end-to-end from prototype and API design through production rollout and iteration
• Operate high-throughput data systems and maintain reliability, performance, and cost-efficiency at scale
• Collaborate cross-functionally with product managers, designers, and engineers across observability and feature management teams
• 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
• Design and operate safe, sandboxed AI agent execution infrastructure with proper isolation, resource limits, permissions, and auditability
• Build data import and export pipelines to connect observability capabilities to other platforms
• Support dashboard creation via natural language prompts, extending existing infrastructure with new tools and context
• Build metering and usage pipelines that enable usage-based monetization models

What We're Looking For

• 5+ years of professional software engineering experience with a track record of shipping production-quality backend systems
• Proficient in Go (or similar languages like Java, Rust, or C++) with experience designing APIs and distributed services
• Experience building or integrating LLM-powered features, agents, or AI-driven workflows
• Experience with data-intensive systems—streaming pipelines, columnar stores (e.g., ClickHouse), or high-volume ingest is a strong plus
• Strong product instincts with the ability to translate ambiguous requirements into clean, well-scoped solutions
• Collaborative and communicative with the ability to work well across teams and functions
• Comfortable navigating ambiguity and making sound technical decisions
• Familiarity with feature flagging or observability tooling is a plus
• Experience with usage-based product surfaces, sandboxing/isolation technologies, or developer tooling is a plus

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best experience for everyone involved.

Pay

Our client offers competitive compensation based on geographic location within the United States:

• Zone 1 (San Francisco/Bay Area, 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

Exact compensation may vary based on skills, experience, and location. The package also includes Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits.

Get A Job.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.