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Savvy, Inc.

Software Engineer (Full Stack) Goodwin Recruiting San Francisco, CA Interested N

Savvy, Inc., San Francisco, CA, United States, 94199

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Software Engineer (Full Stack) – AI-Driven Cloud Optimization

A high-growth, AI-powered cloud optimization company is looking for a full-stack software engineer to help build and scale its cloud cost efficiency platform. This is an opportunity to be part of an early-stage startup, working on cutting-edge cloud technology while shaping the company’s engineering direction.

Responsibilities

  1. Design, build, and scale a cloud cost optimization platform using React, Next.js, Python, or Node.js
  2. Develop backend APIs and frontend interfaces for high-performance, scalable applications
  3. Work with AWS services to improve system reliability, performance, and automation
  4. Implement AI-driven solutions for cloud cost efficiency
  5. Collaborate closely with a small, fast-moving engineering team in San Francisco

Requirements

  1. At least three years of full-stack development experience, preferably in a startup or high-growth environment
  2. Strong experience with React, Next.js, Python, or Node.js (TypeScript a plus)
  3. Background in SQL and NoSQL databases such as PostgreSQL, MongoDB, or DynamoDB
  4. Experience with AWS cloud infrastructure (Lambda, EC2, DynamoDB, Kubernetes, Terraform)
  5. Passion for building high-performance, scalable systems
  6. Must be onsite in San Francisco or open to relocation

Preferred Experience

  1. FinTech, Cloud SaaS, or DevOps background
  2. Previous experience with AI-driven automation or cloud optimization
  3. Experience scaling an early-stage startup

Compensation And Benefits

  1. Salary: $120,000 - $200,000 plus equity
  2. Full healthcare coverage, including medical, dental, and vision
  3. Unlimited paid time off
  4. Quarterly company retreats and team events
  5. Relocation support for strong candidates

This is an opportunity to work in a fast-paced, high-impact environment while solving complex engineering challenges in cloud cost optimization. Apply today to be part of an innovative team driving the future of AI-powered cloud efficiency.

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