Title: Software Development Manager
Primary Skill: Management
Secondary Skill: Node.js, React, Typescript, AWS/GCP/Azure
Seniority: Intermediate/Sr
Years: 1-2 yrs Lead or Manager, 5yrs overall
Emp Type: FTE
Location: Toronto
Client position: 136
Description:
Our Client is the industry-leading Sales Performance Management (SPM) solution enabling businesses worldwide to Plan, Operate and Pay effectively to drive sales performance and growth.
A named Leader in the Gartner Magic Quadrant for Sales Performance Management seven times in a row, Our Client was founded in 2005 when we pioneered sales performance management software.
As a Software Development Manager, you will be working alongside a multidisciplinary team of developers, designers, data scientists, and business professionals. You would be working on the services powering a REST API and machine learning pipeline written in Typescript and Python, respectively.
What you'll do
* Lead your team to build new features for the REST API on top of a modern tech stack using node.js , written in Typescript, and deployed on AWS using the Serverless framework.
* Lead in the development of new features for our machine learning pipeline using Python on Spark and standard Python data science libraries.
* Be responsible for the hiring and career development of developers on your team
* Work with the product owner, designers, and QA team to create new features and resolve issues
* Evaluate current processes and workflows and be the driver of positive change for your team and the greater Symon engineering group
What you'll bring
* 5+ years of experience working as a software developer
* 2+ years of experience managing people
* Experience with cloud platforms like AWS and their various services
* Experience working with micro-services, distributed applications, or something similar
* A passion for software development and eagerness to get into the code if needed
* The ability to hit the ground running and provide immediate impact with minimal oversight
* A track record of building and managing high performing engineering teams
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