Staff Engineer, Cloud

Responsibilities

• Work with developers, product managers and designers to guide and make technical decisions throughout the development process.
• Design and develop high quality, secure, performant cloud APIs that service mobile, web, and edge computing devices.
• Prototype unproven concepts to inform and optimize the final implementations.
• Automate everything possible. Leverages CI/CD to automate repeatable tasks and quality checks.
• Build tools and support for teams to self-manage in an owner-operator model
• Work with cloud, mobile and edge teams to diagnose and resolve issues.
• Stay abreast of cloud trends and topics.

Skills and Expertise

• Passionate for continuous learning and understanding things in and around cloud development
• Highly experienced building robust, well-documented, secure, well testing APIs and cloud services
• Experience with Docker container development and hosting
• 5+ years of experience with cloud technologies and languages (Python, Golang)
• AWS cloud experience using EC2, Lambda, ECS/EKS, RDS, and Snowflake
• Experience building event driven architectures at high scale
• Experience with Infrastructure as Code (IaC) using Terraform
• Experience with high availability deployment across many regions and availability zones
• Experience with SumoLogic, DataDog, CloudWatch or similar tools for observability
• Deep experience with Git, pull request and code reviews as well as Jira for software development lifecycle.
• Able to operate in a fast-paced, deadline-driven, collaborative and iterative development environment
• Able to lead and define cloud initiatives and distill technical requirements from high-level product use cases to production-ready implementations
• Experience establishing, promoting and ensuring best practices in cloud codebases including common architectures and standardized unit testing.
• Experience building reusable libraries, SDK’s and shared components.
• Intricate knowledge of building and managing web services using REST and OpenAPI, or gRPC.
• BS/MS in Computer Science or equivalent practical experience

Bonus

• Experience using AI tools to improve productivity, code quality, test quality, and documentation.
• Experience with complex AWS infrastructure with multiple AWS accounts
• Experience architecting IoT solutions
• Experience working with embedded hardware devices
• Experience working with AI, ML or AR
• Experience with growing large teams and can describe the issues that arise with growth
• Previous startup experience
• Experience with Serverless architectures