Job Description

What you ll do:

- Technical Architecture & Strategy Define and own the long-term technical architecture , making critical build vs. buy decisions to ensure systems remain resilient as the platform scales 10x
- Platform & Infrastructure Design and build core infrastructure services and microservices that serve machine learning, frontend, and platform teams
- Business Alignment Align technical architecture with business goals, ensuring engineering velocity , system reliability , and infrastructure costs directly support customer acquisition, retention, and time-to-market
- Hands-on Engineering Write high-performance , clean, and maintainable production-grade code across the stack (K8s, Python, Golang, Postgres etc.)
- Cross-functional Execution Drive and deliver business-critical engineering outcomes in close collaboration with cross-functional engineering teams
- Engineering Culture Mentor senior engineers, champion engineering excellence , and foster a culture of rapid, impact-driven innovation
- Ownership & Initiative Identify critical system and business gaps proactively, propose solutions, align stakeholders, and drive execution with a high degree of ownership Qualifications

- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI s potential impact on the function or industry.




- Experience 15+ years of software engineering experience with a demonstrated progression into Principal or Sr. Staff Engineer capacity at a high-growth tech company or top-tier AI lab
- Technical Proficiency Strong hands-on coding ability with deep design thinking , capable of driving both code-level execution and system-level architecture decisions . Proficiency in any programming language with ability to adapt - K8s, Python, Golang, Postgres and data lakes preferred
- Distributed Systems Proven experience in distributed systems - performance, scalability, latency, optimization , and monitoring
- Commercial Mindset Demonstrated ability to connect engineering decisions to business outcomes such as latency improvements , driving margin efficiency , and enabling rapid product feature launches
- High Agency Self-driven with strong ownership , ability to identify system and business gaps, propose solutions, align stakeholders, and execute at startup pace
- Product & AI Mindset Experience integrating or evaluating AI tools and workflows in engineering processes and decision-making

Good to Have

- Open Source Contributions to major open-source AI or infrastructure projects
- Startup Experience Prior experience working closely with Product and Growth teams in an early-stage startup workplace

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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