Software Developer

Benevity

Toronto

Hybrid

CAD 98,000 - 113,000

Full time

14 days+

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Job summary

Benevity is seeking a Senior Software Developer in Toronto, Ontario. The role involves crafting clean, production-level code, optimizing development workflows, and collaborating with a diverse team.

Ideal candidates should have a Computer Science degree and 2-5 years of experience. Key technologies include Java, SpringBoot, Python, and AWS. The offered salary ranges between $98,000 and $113,000 CAD.

The company embraces a flexible hybrid work approach to support personal well-being and work-life balance.

Qualifications

  • 2-5 years of experience in high-performance, full-stack software development.
  • Advanced knowledge in AWS and extensive expertise in the related technologies.
  • Strong communication skills for effective stakeholder understanding.

Responsibilities

  • Craft production-level code adhering to best practices.
  • Engage in collaborative requirements definition and ensure clarity.
  • Lead code reviews and enhance team members' technical skills.

Skills

Java
SpringBoot
Python
Vue.js
Docker
Jenkins
Prompt Engineering
AWS
API Development
Database Design

Education

Computer Science degree or equivalent

Job description

Overview

Meet Benevity Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!

High-Level Overview

Benevity is on a dynamic growth trajectory, where embracing change is part of our DNA. We\u2019re on the lookout for a Senior Software Developer who thrives in a fast-paced environment and values collaboration in a diverse and inclusive team setting. Your contributions will not only involve working closely with technical leaders and various teams to exceed client expectations but also providing mentorship to enhance the team\u2019s technical skills and foster a culture of high performance.

What you\u2019ll do
  • Focus on crafting production-level code that is clean, modular, and thoroughly documented, while strictly adhering to coding standards and best practices
  • Make AI a natural extension of your engineering practice, proactively exploring and implementing new AI applications across development workflows to increase velocity and quality
  • Engage in collaborative efforts to define and document requirements, ensuring clarity, task breakdown, and accurate time estimates
  • Optimize and iterate on prompts and agentic workflows to reduce friction in the SDLC; analyze usage patterns to maximize value and share these findings to help the team measure AI impact
  • Engage in research and the creation of proofs of concept to support reliable implementation plans, including the instruction of single and multi-agent systems to execute complex, multi-step workflows in sequence
  • Take a leadership role in sprint refinement and planning sessions, guiding development strategies and promoting an efficient software development life cycle (SDLC)
  • Ensure the highest quality of software through meticulous testing and debugging, aligning with our standards for completion
  • Develop and maintain models for data, software, and network architecture that meet organizational standards
  • Lead in identifying and analyzing the root causes of issues during testing phases and incident management
  • Participate in on-call rotation for incidents, supporting the resolution of critical production issues
  • Actively participate in code reviews to elevate code quality and maintain consistency across projects
  • Innovate in testing by designing and implementing comprehensive test cases, including automating integration tests within the CI/CD pipeline
  • Oversee the CI/CD pipeline management for swift and secure code deployment
  • Regularly monitor the performance, security, and user experience of all applications under your team\u2019s purview
What you\u2019ll bring
  • Computer Science degree or equivalent experience, bringing between 2-5 years of experience in high-performance, full-stack software development
  • Extensive expertise in Java, SpringBoot, Python, Vue.js, Docker, and Jenkins
  • Demonstrated experience in Prompt Engineering and the orchestration of AI agents to automate repetitive engineering tasks
  • 2+ years in AWS, covering a broad range of services from API Gateway to Terraform
  • Advanced database design across SQL and NoSQL databases
  • Experience developing APIs (OpenAPI, JSON:API, GraphQL)
  • Experience working with legacy systems, optimizing existing software, and fostering a growth mindset
  • Strong communication skills are essential for understanding user needs and translating them into effective solutions

Salary range - Ontario: $98,000 CAD - $113,000 CAD

Discover your purpose at work

DEIB and Work Environment

We\u2019re not employees, we\u2019re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more. Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up, you\u2019ll want to join Benevity. We\u2019re dedicated to DEIB and a fair, accessible hiring process. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.

Where We Work

At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, there\u2019s no set requirement for in-office time, but in-person collaboration moments are valued for onboarding, project work, or team bonding.

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