Staff Software Engineer

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.

Responsibilities:

• Build agentic systems that automate analytics workflows across the ADLC.
• Design and implement agents for: Requirements and intent capture, build and validation, Test and 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 behaviour 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.

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, and 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.