Brighty Official is hiring a
Staff Cloud Engineer in Worldwide

Summary

The job is for a Staff Cloud Engineer in a fast-paced environment to build next-generation cloud applications using AWS, Kafka, DevOps, cloud native, containers, AI, and ML. The employee will work with other teams, guide technical decisions, lead architecture, mentor developers, automate tasks, and stay updated on cloud trends.

Requirements

• BS/MS in Computer Science or equivalent practical experience
• 4+ years of experience with Cloud technologies and languages (Javascript, Typescript, Python, Kotlin, Java, Node.js)
• AWS Cloud Experience using EC2, Lambda, ECS, RDS and DocumentDB
• Experience building event driven architectures at high scale using Kafka
• Experience with Infrastructure as code using Terraform & Cloudformation
• 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, Github, Pull Request, and Rebasing
• Ability to operate in a fast-paced, deadline-driven, collaborative and iterative development environment
• Ability to lead and define cloud initiatives with other engineers
• Experience working with a highly reactive platform
• Experience with 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 used by many applications
• Intricate knowledge of building and managing Https web services using REST

Responsibilities

• Work with cloud developers, product managers and designers to guide and make technical decisions throughout the development process
• Lead the architecture and design of our client platform
• Mentor other developers and contractors throughout the development lifecycle
• Prototype unproven concepts to inform final implementations
• Stay abreast of cloud trends and topics
• Automate everything possible. Leverages CI/CD to automate repeatable tasks and quality checks
• Managing Infrastructure as Code
• Managing and supporting engineering teams release software
• Building the tools and support for teams to be able to self-manage in an owner-operator model

Preferred Qualifications

• Experience with multiple AWS accounts
• Experience working with AI, ML or AR
• Experience with Docker container development and hosting
• Experience with growing large teams and can describe the issues that arise with growth
• Previous startup experience
• Experience with Serverless architectures