Senior Software Engineer

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

📋 Description

• Oversee the software delivery process from problem identification to production readiness.

• Convert business requirements into technical specifications, designs, and implementation strategies.

• Develop, deploy, and sustain applications, APIs, services, and data processing components.

• Incorporate models, AI services, and analytical features into software solutions and business operations.

• Create prototypes and proofs of concept to assess new tools and methodologies.

• Establish dependable data integrations and pipelines using both structured and unstructured data.

• Set and evaluate metrics for reliability, performance, AI output quality, and overall business impact.

• Evaluate architectural alternatives, implementation complexities, operating expenses, and make build-versus-buy assessments.

• Produce clear, well-tested, and documented code while participating in code and design reviews.

• Troubleshoot production failures, resolve performance issues, and enhance monitoring and recovery systems.

• Contribute to common tools and engineering practices while mentoring fellow team members.

⛳️ Requirements

• A bachelor's degree in computer science, engineering, or a relevant technical area, or equivalent hands-on experience.

• More than 5 years of professional software engineering experience, with significant responsibility for software that is deployed and maintained in a production environment.

• Proven track record of independently delivering complex technical projects, navigating unclear requirements, and making informed design and implementation choices.

• High proficiency in Python and SQL, with experience in developing maintainable software beyond exploratory scripts or notebooks.

• Strong grasp of software design principles, APIs, data structures, automated testing, version control, and CI/CD practices.

• Experience in building and managing cloud-based applications, services, or data-heavy systems, including addressing production issues and enhancing reliability.

• Background in working with data pipelines, databases, and integrations, with a focus on data quality, performance, and access controls.

• Practical knowledge of applied AI, machine learning, or statistical methods, including the ability to assess their appropriateness, limitations, and performance in a software context.

• Capability to articulate technical decisions and trade-offs, collaborate across various disciplines, and provide constructive feedback to fellow engineers.

🏝️ Benefits

• Comprehensive benefits package.

• Holistic programs for mind, body, and lifestyle, aimed at enhancing overall well-being.

• Additional compensation opportunities such as bonuses, commissions, equity, and other benefits may also be available.