Summary
Join Braze's team and leverage your extensive knowledge of cloud-native architectures to enhance their advanced ML platform. Lead cross-functional platform initiatives, utilizing your strong software engineering background to design, implement, and optimize critical services. Define and enforce robust security standards, integrate best practices for observability, and improve the Developer Experience (DX). Guide and coach fellow engineers, working on production AI pipelines and learning about data architecture and self-learning AI. Braze offers a fast-paced, supportive environment with mentorship and coaching, and a team that values development best practices.
Requirements
- Exceptional coder: you write clean, modular code; you care about good design and terse, testable APIs
- Tinkerer: you regularly explore and learn new technologies and methods
- Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes
- Structured and organized: you can structure a plan, align stakeholders, and see it through to execution
- Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech
- Core Data & ML: Python (Pandas, Polars, Ibis, Spark), SQL, BigQuery, FastAPI, MLflow, Streamlit
- Platform & Infrastructure: Google Cloud Platform, Kubernetes, Helm, Terraform
- Workflows & Orchestration: Airflow, RabbitMQ, Celery
- CI/CD: GitHub Actions, Sonar, Sentry
Responsibilities
- Leverage extensive knowledge of cloud-native architectures to enhance our advanced ML platform, ensuring scalability, efficiency, and robustness
- Lead cross-functional platform initiatives from discovery to rollout, including interviewing (technical) end-users and stakeholders, planning implementation, and actively managing the technical work on the project
- Utilize a strong software engineering background to design, implement, and optimize critical services and subsystems, balancing performance with cost-effective operations
- Define and enforce robust security, compliance, and infrastructure-as-code standards
- Integrate best practices for observability to proactively detect and resolve issues, guaranteeing minimal downtime and resilient performance
- Improve Developer Experience (DX) by streamlining workflows, improve tooling, and ensure the seamless adoption of DevOps best practices
- Guide and coach fellow Braze engineers on DevOps architectures and methodologies, fostering a culture of continuous learning, innovation, and technical excellence
- No toy datasets in notebooks β weβre implementing AI pipelines in production at scale!
- Learn tons about data architecture, data science, and self-learning AI
- Work in a team that not only talks the talk of development best practices, but walks the walk β unit & integration tests, modular design, CI/CD, pair programming, code reviews β the works
Benefits
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
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