At Weights & Biases our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.
Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1000 customers and more than 30 foundation model builders including customers such as OpenAI NVIDIA Microsoft and Toyota.
We are hiring a seasoned engineering manager to lead our Delivery Tooling team a critical group responsible for building and operating the platform that enables our engineers to ship software quickly reliably and safely. This team owns deployment automation infrastructure provisioning/monitoring and release processes that underpin our engineering organizations ability to deliver software to customers in GCP AWS Azure and even selfhosted environments. Your leadership will directly influence engineering velocity and platform stability.
Responsibilities:
Lead manage and mentor the Delivery Tooling engineering team fostering a culture of collaboration technical excellence and high performance.
Own the strategy roadmap and execution forthe tools and infrastructure supporting deployment automation infrastructure provisioning monitoring and release processes across all W&B environments.
Driveimprovements in engineering velocity release frequency and reliability across the entire engineering organization.
Collaborate closely with other engineering teams and stakeholders to understand their needs and ensure the developerplatform effectively supports their workflows.
Operate and enhance robust scalable deliverysystems capable of deploying software to multiple public clouds (GCP AWS Azure) and selfhosted environments.
Guide theteam in making sound technical decisions balancing speed quality and operational cost.
Recruit hire and retain talented engineers for the Delivery Tooling team.
Requirements:
Handson experience with container orchestration systems particularly Kubernetes.
Previous management experience leading an engineering team.
Demonstrated track record as a capable senior IC or tech lead.
Strong understanding of the modern software delivery lifecycle (SDLC) including infrastructure automation and release management.
Experience with Infrastructureas Code (IaC) principles and tools.
Deep experience deploying and managing services onat least one major public cloud provider (GCP AWS or Azure).
Proven ability to lead mentor and develop engineers and build highperforming collaborative teams.
Excellent communication and collaboration skills with a history of working effectively acrossdiverse engineering groups and stakeholders.
Ability to clearly articulate technical concepts strategies and tradeoffs to both technical and nontechnical audiences.
Nice to Haves:
Prior experience at companies known for matureinternal deployment tooling or developer platforms.
Experience working with or building an SRE team.
Experience managing infrastructure or tooling across multiple cloud environments (AWS GCP Azure).
Experience supporting software delivery for selfhosted or onpremises deploymentmodels.
Familiarity with modern observability tools and practices (monitoring logging tracing).
Experience buildinginternal developer platforms or a strong focus on improving developer experience.
This position has an annual estimated salary of $224000 $310000 per year. Weights & Biases is committed to providing competitive salary equity and benefits packages for all fulltime employees. The actual pay may vary depending on your skills qualifications experience and work location.
We encourage you to apply even if your experience doesnt perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status. If you need additional accommodations to feel comfortable during your interview process reach out
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