About the Role

As a Senior Backend Software Engineer for the Orchestration engineering team at Labelbox, you will work on the critical distributed software architecture that drives our offerings for data labeling. You will develop features for orchestration of large-scale workflows using distributed queues, databases and job management mechanisms. You will get to own specific components of this area, and work end-to-end on projects from design to delivery. You will use your experience and expertise to collaborate cross-functionally with product, design and other stakeholders to transform ideas into shipped features and capabilities to drive scale and adoption of our offerings, as well as enable our customers to be successful.

Your Day to Day

• Develop features and capabilities for orchestration of large-scale workflows using distributed queues, databases and job management mechanisms.
• Collaborate with team members and stakeholders.
• Participate in sprint planning, standups and other related activities.
• Mentor and guide less experienced engineers while driving initiatives towards completion.
• Particulate in supporting the team’s area of ownership by working with the Support organization to help resolve any customer issues.
• Stay abreast of industry trends, emerging technologies. Analyze, assess and incorporate relevant technologies and ideas as needed.
• Contribute to technical documentation, research publications, blog posts, and presentations at conferences and forums.

About You

• Bachelor’s degree in computer science or related field. Advanced degree preferred.
• 5+ years of work experience in a software company in backend software engineering, specifically in distributed systems.
• Extensive software design and architecture skills in large-scale systems, including previous projects in this area.
• Strong grasp of databases, queues, job management, and related areas.
• Good understanding of memory management and optimization in large-scale systems.
• Good understanding of, or interest in, the overall Data + AI ecosystem and how it pertains to design and architecture of large-scale AI platforms.
• Experience with (container) orchestration systems such as Kubernetes.
• Proficient in data structures and algorithms.
• Fluent in programming languages such as Typescript, Java, or Python.
• Demonstrated ability to keep up with industry trends and new developments.
• Excellent communication and collaboration skills.
• Strong sense of ownership.
• Thrive in a fast-paced environment with willingness and ability to dive deep.
• Comfortable with ambiguity and able to break-down high level requirements into actionable tasks in a methodical manner.
• Resourceful, creative, problem-solver with an attention to detail who will not hesitate to take initiative and get things done.

Engineering at Labelbox

We build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments, daily, to build and deploy AI systems that have a real positive impact in the world. 

We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.

We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.