Senior Software Engineer II

Analytics is entering an agentic era. As a Senior Software Engineer on Agentic Automation & ADLC Systems, you will build the autonomous and assisted agents that operate across the Analytics Development Life Cycle (ADLC) — from requirements to deployment to remediation. These agents don’t just automate tasks. They reason over enterprise context, act on data products, and leave behind decision memory that improves the system over time. What You’ll Do Build agentic systems that automate analytics workflows across the ADLC Design and implement agents for: Requirements & intent capture Build & validation Test & deploy 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.) What We’re Looking For 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. Nice to Have 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 Why This Role Matters 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.