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Listed location: Mountain View, CA
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by Glean; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
- Own impactful runtime problems end‑to‑end — from architecture and design to production launch and ongoing reliability.
- Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails.
- Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets.
- Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability.
- Harden the platform with fault isolation, retries, timeouts, circuit‑breaking, backpressure, and graceful degradation.
- Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on‑call excellence.
- Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments.
- 3+ years of software engineering experience building production distributed systems or cloud‑native applications.
- BS/BA in Computer Science or related field, or equivalent practical experience.
- Strong coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests.
- Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
- Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers.
- Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure).
- Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low‑latency paths.
- Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing.
- Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics.
- Background in one or more areas is a plus: policy/guardrails, multi‑tenant isolation, rate‑limiting, concurrency control, cost optimization.
- This role is hybrid (3-4 days a week in one of our SF Bay Area offices)
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Skills mentioned
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Frequently asked questions
Is the Software Engineer, Agentic Runtime position at Glean remote?
The Software Engineer, Agentic Runtime role at Glean does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Software Engineer, Agentic Runtime role?
Glean is hiring for a full-time Software Engineer, Agentic Runtime position.
Which skills are mentioned for the Software Engineer, Agentic Runtime job at Glean?
Detected skill labels include Python, Kubernetes, AWS, GCP, Azure, Go, LLM, Kafka. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Software Engineer, Agentic Runtime position at Glean?
You can apply for the Software Engineer, Agentic Runtime role directly through Glean's official application link provided on this page.
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