Senior Software Engineer, Identity Team (Remote)

Key Skills

Analytical and Problem solving, AWS, Azure, GoLang, Google Cloud Platform (GCP), Machine learning techniques, Product Management, TypeScript

Job Description

The Identity team at Weights & Biases is dedicated to developing the foundational systems that guarantee secure, reliable access to our platform for hundreds of thousands of users. Understanding the critical importance of security for our users, we prioritize building features that not only enhance authentication and authorization experiences but also ensure the seamless and secure integration of our services. As we expand our capabilities, the team develops robust access control tools that empower other engineering teams to build new features and applications confidently.

Here are some key characteristics that will help you thrive in this role:

Outgoing and friendly: You'll love this role if you enjoy connecting with real users day to day, helping them solve issues and understanding good patterns for using our tools. Day to day you'll be answering questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team.

Autonomous: If you work well in a self-directed environment, and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role.

Curious and driven: Explore machine learning and learn more about the engineering stack and common ML workflows. Solve problems in both fast-paced, short-term sprints and in larger, more long-term projects.

Organized: A core part of engineering support at Weights & Biases is organizing feedback from many channels into a single, orderly stream. Your organization skills and time management will be key to running this process well.

Responsibilities:

• Design, build, and operate the APIs and services that power Weights & Biases authentication and authorization
• Evolve our architecture to scale with growth in customers and developers, working across large monolith codebases and microservices
• Collaborate with product management and design to develop new, high-impact experiences
• Build incrementally, test everything, and deploy daily
• Work on the live support rotation to keep our systems running well

Requirements:

• Minimum of 5 years experience as software engineer in a professional setting
• Solid understanding of various authentication protocols including but not limited to Sessions, JWT, OIDC, SAML, and LDAP is a plus.
• Demonstrable expertise in designing, developing, and managing complex authentication systems, role-based access control mechanisms, and audit log management processes.
• Strong problem-solving skills and a proactive approach to identifying, diagnosing, and resolving system glitches as well as programming issues.
• The candidate must display a readiness to take on different roles, functions, and responsibilities as required by the project or the team.
• An ability to work and deliver independently, desirably with a proven track record of completing tasks within stipulated time frames.
• Prior experience working with at least one of the major cloud infrastructure providers such as AWS, Google Cloud, or Azure.
• Experience with Golang and Typescript

Our Benefits

• Flexible time off
• Medical, Dental, and Vision for employees and Family Coverage
• Remote first culture with in-office flexibility in San Francisco
• Home office budget with a new high-powered laptop
• Truly competitive salary and equity
• 12 weeks of Parental leave (U.S. specific)
• 401(k) (U.S. specific)
• Supplemental benefits may be available depending on your location
• Explore benefits by country

$177,000 - $245,000 a year

The US base pay for this position ranges from $177000 per year in our lowest geographic market up to $245000 USD per year in our highest geographic market. Weights and Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. Individual compensation will be commensurate with the candidate's experience, qualifications, and geographic location.