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Relyance AI

Sr. Software Engineer, Full Stack

Sorry, this job was removed at 04:44 p.m. (PST) on Tuesday, Apr 29, 2025
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

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Job Overview

As Relyance AI’s Sr. Software Engineer - Full Stack, you will be responsible for building and maintaining the core systems that power our Relyance product. This role requires a well-rounded engineer who can balance big-picture thinking with hands-on execution to tackle complex problems and deliver impactful solutions.

As a Sr. Software Engineer - Full Stack, your role will include:

  • Tackling complex challenges and implementing clean, pragmatic solutions. 
  • Building tools and automating processes to streamline operations.
  • Partnering with cross-functional stakeholders to design and build a robust, scalable, and flexible backend system.
  • Executing decisions to prioritize tasks, and balancing immediate needs with long-term goals, all while collaborating effectively with other engineering teams.
  • Learning and improving your full-stack development skills across all layers, from databases and APIs to the user interface.

This role could be a fit for you if you bring:

  • 6+ years of experience building complex backend systems, especially those handling intricate data.
  • Expert-level proficiency in Python, Django or FastAPI.
  • 2+ years of experience building applications using a SQL or NoSQL database.
  • Strong understanding of data structures, algorithms, and object-oriented software design principles.
  • Ability to learn and work across the full-stack, from databases and APIs to the user interface.
  • A "get things done" attitude with a passion for collaboration and tackling challenges in a fast-paced environment.

Bonus points for:

  • Experience with cloud infrastructure technologies.
  • Experience building user interfaces.
  • Experience building AI/ML products

Working at Relyance AI

At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. 

Relyance AI is proud to be an equal opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $150,000 to $180,000.

HQ

Relyance AI San Ramon, California, USA Office

Bishop Ranch is a top-notch corporate community with the innovative office space while in walking distance to hotels, restaurants, gyms, and shopping. The Relyance AI office overlooks a lake with a walking trail for when you want to take a walking meeting or just need some fresh air!

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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