dbt Labs - Senior Software Engineer II
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Requirements
• Strong experience in backend, platform, or systems engineering • Experience building automation, workflows, or orchestration systems, familiarity with event-driven architectures • Understanding of data/documentation tools, integration nuances, their information systems. • Hands-on experience building systems with LLMs or agentic systems (practical, production-minded) • Strong intuition for safety, failure modes, and guardrails, AI observability • Exposure to working with structured, semi-structured and unstructured data. • Experience with CI/CD or developer tooling • Familiarity with analytics engineering or dbt • Experience integrating with human workflow tools (GitHub, Slack, Jira, Notion) • Background in reliability/resilience engineering
Responsibilities
• Build agentic systems that automate analytics workflows across the ADLC • Requirements & intent capture • Build & validation • Operate, observe, and remediate • Orchestrate agent workflows using event-driven triggers • Integrate agents with ingestion and transformation workflows • Encode governance and decision policies into automation • Ensure every agent action is explainable, attributable, observable and auditable • Balance autonomy with human-in-the-loop controls • What You’ll Own • Agent behavior and orchestration logic • ADLC automation workflows, governance expressed as executable logic • Agent interaction with the Context Platform • Safe auto-remediation and escalation paths, observability and feedback/recovery loops • What You Won’t Own • Context storage or schema design • Low-level platform security primitives • Long-term data durability decisions • (You consume these via the Context Platform.)
Benefits
• If these agents are built correctly: • Analytics workflows accelerate without losing trust • Governance becomes proactive, not reactive • Humans focus on decisions, not plumbing • This role turns context into action.
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