Weights & Biases

1 Job openings at Weights & Biases
Solutions Architect india 0 years None Not disclosed On-site Full Time

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our te am. What You’ll Do Our Solutions Architecture team at Weights & Biases is a unique hybrid organization, combining the deep technical skills of Site Reliability Engineering with the consultative expertise of Solutions Architecture. We focus on ensuring customers can successfully deploy and operate W&B across cloud and on-prem environments while delivering a best-in-class experience that accelerates ML adoption at scale. About the Role As a Solutions Architect, you will be responsible for managing complex customer deployments across AWS, GCP, Azure, and on-prem environments. You’ll partner directly with customer engineering teams to provision and monitor services, debug and resolve infrastructure issues, and ensure performance and scalability using SRE best practices. This role blends hands-on technical problem-solving with customer-facing engagement, including technical discussions, demos, workshops, and enablement content creation. You’ll work closely with Sales Engineering, Field Engineering, Support, and Product to drive adoption and influence our product roadmap based on customer feedback. Who You Are Based in India, supporting EMEA and APAC regions primarily Proven track record of systematically diagnosing and resolving infrastructure issues Experience in a customer-facing technical role Expertise in Docker, Kubernetes, Helm charts, networking, and cloud-managed services (e.g., MySQL, Object Stores) Strong fundamentals in Infrastructure as Code (IaC), preferably Terraform Proficiency with at least one cloud platform (AWS, GCP, Azure); experience across multiple platforms is a plus Strong Linux/Unix command line experienceBasic proficiency in Python and familiarity with ML workflows or tools preferred Deep proficiency in Kubernetes design patterns, including Operators Familiarity with data engineering and MLOps tooling Experience as an educator or facilitator for technical training sessions, workshops, or demos SaaS, web service, or distributed systems operations experience Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love diving into infrastructure problems and solving them systematically You’re curious about how to scale complex ML systems in production environments You’re an expert in building and running containerized, distributed systems Why Us? We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base pay for this position range from INR 3,700,000 - INR 4,350,000 - INR 5,000,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility)