Senior Software Engineer

What you will do:

• Use an AI native / AI first approach through the SDLC.
• Iteratively turn ideas into prototypes and into production-grade code.
• Design and develop our best-in-class cloud platform, working on all parts of the G-P ecosystem and building frameworks and services to build the platform.
• Develop solutions that fit a cloud-managed and serverless-first platform ecosystem
• Build quick prototypes to refine concepts, then turn them into real production-quality features
• Advocate and evangelize modern agile methodologies and best practices such as the Well Architected Framework
• Advocate and evangelize quality and scalability mindset and building software with scale and speed
• Diagnose and fix issues reported by internal teams and customers
• Develop and promote a full spectrum of test suites and quality mindset (unit, contract, integration, etc)
• Support and develop software engineers by providing advice, coaching and educational opportunities

What we are looking for:

• 8+ years of experience in developing highly scalable enterprise level services, platforms or products.
• Extensive experience in building large scale distributed enterprise applications in geographically distributed teams
• Deep knowledge of backend stack with knowledge in most or all of the following: Node.js,Java, Python, Redis, Golang
• Knowledge of and experience choosing between SQL and NoSQL database technologies such as MySQL/PostgreSQL and MongoDB/DynamoDB
• Knowledge of modern cloud architectures and technologies; experience with AWS is a plus
• Excellent communication skills and experience documenting and delivering technical concepts to both technical and non-technical audiences
• Experience in a startup or high-growth environment and ability to hustle is desirable
• Hands-on experience in any of the following areas a plus:
  • Data modeling, data architecture, and data governance
  • Integrating CRM systems such as Salesforce with internal systems
  • Integrating 3rd party systems with internal and external workflows
  • Business workflow orchestration / choreography patterns
  • Prior hands-on experience with AI in production environments will be strongly preferred