Software Engineer I - LLM Observability
Honeycomb.io
Honeycomb.io is also hiring for this role in Remote - Canada.
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This role on the market
156 open observability roles across 57 companies are on ApplySarthi right now, most of them in Bengaluru (6), Hyderabad (5), Pune (2).
- Observability EngineerJll · bengaluru
- Software Development Manager, ADC Monitoring & ObservabilityAmazon
- Senior Software Engineer, ObservabilityTemporal
- Technical Lead - Observability - RDT Digital Operations and ReliabilityRoche
- IN_Senior Associate_Observability Engineer_GCC_Advisory_PunePwc · pune
What observability roles keep asking for: Observability (85%), Kubernetes (49%), System design (46%), Python (37%), AWS (32%), Java (22%), Elasticsearch (22%), Azure (21%) — counted across their open postings here.
Software Engineer jobs in the United States · Remote Software Engineer jobs · LLMs jobs · Observability jobs · Product management jobs · Python jobs
Honeycomb.io has 26 open roles listed here.
- Marketing Ops Analyst
- Senior Software Engineer II - LLM Observability
- Senior Software Engineer II - LLM Observability
- Software Engineer I - LLM Observability
- Senior Engineering Manager - Tenant
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for observability roles keep coming back to Observability, Kubernetes, System design, Python. Practise those questions before you sit with Honeycomb.io.
Questions you are likely to be asked
- Why do you want to join Honeycomb.io?
- What is your experience with Observability? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the Software Engineer I - LLM Observability at Honeycomb.io interview free →Little more about the team:
The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you.
What you’ll do in the role:
- Deliver AI observability capabilities end to end, from ingestion to in-product visualizations.
- Contribute to the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product.
- Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies.
- Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows.
- Share what you learn about exploring and understanding AI system behavior across conversations and workloads.
- Iterate through fast feedback loops and experimentation, and share both wins and failures.
What you’ll bring to the role:
- 3+ years of software engineering experience.
- Experience shipping customer-facing features at a SaaS company, beyond internal tooling.
- Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React).
- A track record of working with product managers and designers.
- Regular, hands-on use of AI tools in your day-to-day engineering work.
- Experience being on call. You'd join our rotation after about 90 days.
- A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job.
- Bonus: Experience building LLM or agent-powered features in production.
- Bonus: Hands-on experience with observability tooling, such as OpenTelemetry.
What you'll get when you join the Hive:
- A stake in our success - generous equity with employee-friendly stock program
- It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
- Time to recharge with unlimited PTO
- A distributed-first mindset and culture (really!)
- Home office, co-working, and internet stipend
- Full benefits coverage for employees, with additional coverage available for dependents
- Up to 16 weeks of paid parental leave, regardless of path to parenthood
- Annual development allowance
- And much more...
- All communications will come from an @honeycomb.io email address
- We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—never personal accounts like Gmail or Yahoo.
- Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to:
- Social security or tax identification numbers
- Credit card numbers
- Bank account information
Match this job to your CV
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Listed on greenhouse · posted 2026-10-15. ApplySarthi collects openings and links to application pages; the role is advertised by Honeycomb.io, not by us.