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Description:
Deep Origin is seeking a Staff / Principal Software Engineer to join their team.
The role involves being a key member of the software engineering team responsible for building the core cloud platform and integrating with key partners.
Responsibilities include designing and developing complex large-scale systems, writing APIs that integrate with various cloud providers and partners, and owning key software feature areas and their architectural design.
The position offers a high level of independence and impact on software implementation.
Applicants must be authorized to work for any employer in the U.S., as the company is unable to sponsor employment visas at this time.
Requirements:
Must have experience as a staff/principal engineer or technical lead.
Requires 10+ years of experience in designing, building, and operating complex, highly scalable, distributed applications and systems.
Need to have 5+ years of hands-on software development experience with TypeScript/JavaScript/NodeJS.
Experience with relational databases (e.g., Postgres) and NoSQL (e.g., MongoDB) is necessary.
Solid knowledge of Kubernetes and Cloud infrastructure/deployment tools, specifically with cluster operations and operators.
Should have built platforms from an early stage and scaled platforms to handle many users (10,000+ DAU).
Must possess extensive system-design experience and experience working with distributed systems/platforms.
Ability to think about architecture first and how the code fits in second.
Experience working with/implementing a multi-tenant system.
Requires a systematic problem-solving approach, a strong sense of ownership and drive, and the ability to work independently and as part of a team.
Experience working in high-energy startups with fast product delivery mechanisms is preferred.
Benefits:
Opportunity to work with a team led by Michael Antonov, a co-founder of Oculus, and well-funded by Formic Ventures.
Chance to be part of a company aiming to reinvent the way scientists work and bring life science innovations to life.
Work on building an operating system for science to enable scientists to be more productive and bring tomorrow's ideas to life quickly and cost-effectively.