Staff Platform Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop and maintain software applications within our suite of enterprise software solutions.

• Collaborate with product managers and designers to generate innovative solutions for unique challenges.

• Partner with AI engineers to effectively leverage commercial large language model (LLM) APIs.

• Continuously enhance code quality, extensibility, scalability, and test coverage for software projects.

• Make architectural and cloud engineering decisions alongside other engineers.

• Create and refine infrastructure-as-code stacks, CI/CD pipelines, and monitoring/observability tools.

• Enhance internal developer tools, workflows, and best practices to boost team efficiency.

• Provide ongoing feedback to management regarding team performance, the condition of the tech stack, and stakeholder relationships.

• Diagnose and resolve intricate issues across the entire application stack.

• Guide and mentor junior team members.

• Engage in incident response and disaster recovery efforts.

• Utilize AI-assisted tools to boost productivity, streamline workflows, and support daily operations.

• Perform other duties as assigned.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

• At least 8 years of professional experience as a software engineer.

• A minimum of 3 years in a technical lead, architectural lead, or management position.

• Proficient in Python for core application code development.

• Experience in creating modern, cloud-native applications utilizing serverless technology (API Gateway, Lambda, DynamoDB, or similar).

• Passion for developing enterprise software with a strong focus on customer empathy, taking pride in delivering a world-class end-to-end user experience.

• Excellent problem-solving, collaboration, teamwork, and communication abilities.

• Willingness to learn and adapt to new technologies and tools.

• Proficient in using relevant AI tools in the software development life cycle (Cursor, GitHub Copilot) for coding and/or API integrations.

• In-depth knowledge of:

• Version control systems (Git)
• Relational databases and data modeling (Postgres preferred)
• Infrastructure as Code in AWS (CloudFormation, SAM)
• RESTful API design and documentation
• CI/CD tools such as GitHub Actions or similar
• Containerization and orchestration (Docker, ECS)
• Enterprise-scale cloud engineering in AWS
• Modern software development lifecycle in an agile product team

🏝️ Benefits

• Floating holidays.

• Quarterly wellness day without questions asked.

• Support for a healthy work/life balance.

• Multiple Employee Resource Groups (ERGs).