Lead Software Development Engineer - Infrastructure

- Guide Strategic Architecture: Lead the full architectural health of the BASS platform, connecting technical decisions to multi-year horizons and organizational strategy.

- Establish Technical Standards: Define "technically excellent" for developer productivity and automation, setting the bar for scalability and simplicity across the org.

- Mentor and Multiplier: Shift focus from personal execution to team outcomes, raising the execution standard of those around you through sponsorship and feedback.

- Navigate Ambiguity: Seek out team-level ambiguity and turn company-level strategic uncertainty into executable engineering plans.

- Systemic Reliability: Act as the strategic anchor for the team's most complex operational challenges, driving architectural improvements that reduce systemic risk across the platform.

- AI Frontier Leadership: Define the team-wide philosophy on how AI changes how we build, moving beyond productivity tools to platform-level engineering shifts.

- Deep Technical Judgment: You have experience with major architectural decisions that proved correct over multi-year horizons.

- Complex Problem Solver: People seek you out on the hardest problems and you can cut through technical complexity to reach the right answer quickly.

- AI Strategy & Agentic Evolution for BASS: As the Lead SDE for BASS, you will define the 2-3 year AI North Star for our internal platforms. You will anticipate how frontier AI and agentic workflows shift our approach to Build, Automation, Spark, and Services.

- Agentic DevOps & CI/CD: Architect systems where AI agents autonomously identify build failures, resolve dependency conflicts, and improve pipelines.

- Predictive Spark & Infrastructure: Move the platform from reactive to proactive by implementing AI-driven models that predict cluster resource needs to eliminate OOM errors.

- AI-Native Governance: Ensure data privacy and PII posture are native constraints in all AI-assisted systems, making the "right thing" the path of least resistance.

- Intelligent Automation: Simplify complex service discovery and log analysis, allowing engineers to work with BASS infrastructure via natural language or autonomous agents.

- Strategic AI Stewardship: Protect the team from systemic risk by governing AI use in elevated-risk contexts while remaining on the leading edge of adoption.

- Technical leadership experience with experience leading architectural strategy for high-scale, distributed systems.

- Expertise in large-scale data processing (Spark or a similar distributed framework) , with the ability to evaluate complex enterprise patterns and explain the "why" behind architectural choices.

- A love for learning and the ability to ramp up quickly on new stacks: While we use Clojure, we value your ability to apply deep architectural principles to our language of choice.

- Practitioner-level knowledge of AI/ML: Experience with integration of AI/ML best practices, specifically how to leverage LLMs and agentic workflows for infrastructure automation and developer velocity.

- Expertise in driving clarity within complex environments , showing the ability to turn high-level business or technical uncertainty into concrete engineering direction.

- Experience working with diverse partners to translate technical tradeoffs into outcomes that serve both the business and the long-term health of the platform.

- A demonstrated history of mentorship , having coached other senior engineers and built technical pipelines that outlast any single project.

Base Salary: $196,000-$270,000. Individual compensation within this range will depend on several factors, including your skills, experience, education/training, geographic location and the level at which you join. We also consider internal equity, market conditions, and overall business needs.