Agentic Runtime Software Engineer — Hybrid (Mountain View)

Glean; Mountain View (CA); Hybrid; USD 180.000 - 210.000; Vollzeit

Benefits dieser Stelle

Home office improvement stipend

Annual education stipend

Wellness stipend

Healthy daily lunches

Zusammenfassung

Glean is shaping the future of enterprise Work AI with scalable runtimes and secure, low‑latency agents. You will design and operate runtime services for multi‑turn orchestration, tool calling, memory, and policy guardrails to deliver instant, trustworthy experiences at scale.

You will collaborate with product and QA teams, integrate with leading LLM providers, and focus on latency reduction, reliability, and observability to meet strict SLAs in a hybrid Mountain View environment.

Qualifikationen

• 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.
• 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.

Aufgaben

• 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.

Kenntnisse

Distributed systems

Cloud-native

LLM/agents

Observability

Performance optimization

Ausbildung

BS in Computer Science or related field

Tools

Kubernetes

OpenTelemetry

Pub/Sub

Kafka

Redis

Jobbeschreibung

Glean is shaping the future of enterprise Work AI with scalable runtimes and secure, low‑latency agents. You will design and operate runtime services for multi‑turn orchestration, tool calling, memory, and policy guardrails to deliver instant, trustworthy experiences at scale.

You will collaborate with product and QA teams, integrate with leading LLM providers, and focus on latency reduction, reliability, and observability to meet strict SLAs in a hybrid Mountain View environment.