Senior / Staff Software Engineer, Full Stack

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, implement, and sustain both internal and external software products spanning frontend, backend, data, and AI components.

• Take ownership of the entire product lifecycle, encompassing architecture, observability, reliability, and continuous maintenance.

• Create systems that empower analysts, operators, and subject matter experts to adjust their own tools without needing to submit engineering support requests.

• Collaborate directly with users to grasp processes, co-develop solutions, and assist them in enhancing solutions autonomously.

• Ensure that user-contributed code and workflows are safe to execute, easy to review, and simple to maintain.

• Architect a unified data foundation that links business systems, operational data, and plant telemetry.

• Develop tested transformation pipelines and a governed semantic layer.

• Maintain consistent definitions for crucial concepts across dashboards, AI assistants, applications, and autonomous agents.

• Establish and enforce access controls for sensitive, proprietary, and counterparty-restricted data.

• Guarantee that products, workflows, and AI interfaces adhere to authorization boundaries.

• Create AI evaluation systems to detect task failures, tool-calling mistakes, grounding gaps, security vulnerabilities, and regressions.

• Implement safeguards for AI systems that impact financial decisions, operational dispatch, or customer obligations.

• Define architectural patterns, development practices, and technical guidelines throughout Antora’s software ecosystem.

• Contribute to shaping product vision, data models, AI integration, and business logic.

• Translate ambiguous user requirements into actionable solutions and deliver dependable production software.

⛳️ Requirements

• Proficient in Python and TypeScript.

• Comfortable working with both frontend and backend systems.

• Experience in managing applications from start to finish, including deployment, observability, reliability, and maintenance.

• Background in creating and deploying LLM-powered systems utilized by real users.

• Proficient with SQL, warehouse modeling, and tools such as dbt or similar transformation frameworks.

• Experience in delivering data changes through CI.

• Proactive approach to data quality, freshness, lineage, and testing.

• Proven track record of collaborating with non-engineers.

• Comfortable with pairing, teaching, reviewing pull requests, and enabling users to become self-sufficient.

• Ability to articulate product, data, AI, and software engineering considerations clearly.

• Capability to differentiate meaningful risk controls from unnecessary processes.

• Deep expertise in one or more core areas, coupled with intellectual curiosity, sound judgment, and a willingness to learn across the stack.

• Bonus: Experience in building or maintaining semantic layers using dbt or Cube.

• Bonus: Familiarity with ClickHouse, time-series data, or IoT systems.

• Bonus: Experience with agent protocols such as MCP or plugin and tool APIs.

• Bonus: Background in energy, industrial technology, or manufacturing.

• Bonus: Experience managing AI model usage, performance, and cost governance.

• Must be based in the US.

🏝️ Benefits

• Equity compensation in the form of stock options.

• Comprehensive health benefits package.

• Life and disability insurance.

• 401K plan with employer contributions.

• Flexible spending accounts.

• Industry-leading paid-time-off policy.

• Flexible and inclusive holiday observance.

• Paid time off for volunteering.