Responsibilities:

• Handle the most difficult tasks directly and also guide senior engineers with the solution and assistance
• Go-to expert for solving team issues should they arise
• Design, document, and implement core solution-based components to be used by the software team - e.g., message-based communication architecture to be used by many
• Software features within the system, a PIM-based processing system to run 2k+ jobs in parallel
• An expert at understanding and implementing solutions that do not need to be rewritten, that can scale 2/5/10x+
• Having led teams of 5-10+ resources in production environments for 10+ years while also contributing directly to the code base
• Fluent in English, expert communication skills - can understand complex technical issues and summarize in plain language
• Business acumen - ability to understand not only technical but also business needs, and be able to code/architect solutions that help push the company forward
• 4 hour overlap with MST, ability to flex for meetings as needed - e.g., company update, ad hoc client meetings
• On-call production support - to work with DevOps/etc, to establish production coverage for any outages, including communicating issues, debugging/troubleshooting, and getting other engineers/DevOps involved.
• Work with CST & Support for engineering escalation tickets
• Direct code contributor - coding more complex tasks and/or features to improve quality and throughput
• Work closely with the client to establish processes, architecture, software backlog, etc

Requirements:

• Bachelor’s degree in computer science, Software Engineering, or a related field.
• 10+ years of Production level experience in Software Development with a strong focus on backend(Node.js, Express.js, Nest.js) and frontend (React.js, Next.js) technologies, along with Architecture design skills
• Expert in Node.js, min. 10+ years of production experience
• Proficient to expert with 10+ years of production experience with the following:
• AWS
• DocumentDB or MongoDB equivalent
• SQL databases (any)
• Cache systems (e.g., redis)
• GIT
• Containers,
• Linux / command shells
• Scripting
• Regular expressions