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Shuttlebase is building self-evolving websites powered by generative AI, large-scale data pipelines, and experimentation. As Staff Software Engineer, you'll be the technical backbone of the platform's evolution engine—designing scalable systems, guiding engineering strategy, and mentoring senior and mid-level engineers.
Key responsibilities:
- Work at the forefront of generative AI and agentic flows, building systems that let AI autonomously reason, experiment, and deploy real changes to the web.
- Architect the next generation of Shuttlebase's experiment engine—scalable, observable, and fault-tolerant, built for millions of daily events.
- Design and evolve backend infrastructure across Python (Flask-RestX), serverless AWS, and data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3).
- Drive technical strategy by defining engineering principles and evolving architecture across microservices, ingestion, and LLM-driven systems.
- Mentor and uplevel senior and mid-level engineers through code reviews, pairing, and design docs.
- Collaborate cross-functionally with AI, product, and data science teams to translate business needs into resilient systems.
- Prototype and push boundaries, bringing ideas from concept to production fast while balancing experimentation and rigor.
- Raise the bar on performance, security, and reliability as the company scales toward SOC 2 and enterprise clients.
This is a technical leadership role focused on deep design, high leverage, and full ownership—not people management.
Company culture emphasizes curiosity and growth, bias toward action, ownership of outcomes, radical transparency, agility, and collaborative shipping.
Requirements:
- 8+ years of experience designing and shipping production systems at scale (bonus: 0→1 or startup environment).
- Strong expertise in Python, AWS, and JavaScript; comfortable owning both backend and frontend architecture.
- Proven ability to design distributed systems (event-driven, microservices, or data-heavy architectures).
- Experience as a technical lead or staff engineer, mentoring peers, reviewing designs, and setting engineering standards.
- Bias toward action and clarity; ability to simplify, document, and deliver.
- Deep curiosity about AI and experimentation; love for systems that learn and adapt.
- Bonus: experience with ClickHouse, LLMs in production, or ecommerce/analytics infrastructure.
