Description

Responsibilities

• Build scalable services and platforms that power TD AI and related products.
• Understand, follow, and contribute to TD AI’s engineering standards and software development lifecycle.
• Collaborate with product and tech teams to deliver efficient, maintainable, and well-tested software.
• Partner with business and design teams to understand customer journeys and develop meaningful product improvements.
• Lead architecture and design of distributed microservices systems.
• Contribute to planning, estimation, and delivery while ensuring high code quality and documentation.
• Work on cloud infrastructures such as AWS and GCP.
• Drive product and design discussions; mentor junior engineers and elevate the team’s technical excellence.
• Participate in code reviews, write technical specifications, and ensure strong unit test coverage.
• Be available for periodic night on-call support if required.

Requirements

• Strong problem-solving and analytical skills.
• Deep understanding of data structures, algorithms, and distributed systems.
• 4+ years of experience in backend development, ideally in high-scale product environments.
• Proficient in backend technologies such as Python, Go (Golang), PostgreSQL, Elasticsearch, MongoDB, Redis, RabbitMQ.
• Experience with microservice-based architecture and API design.
• Working knowledge of cloud and containerized environments (AWS, GCP, Docker, Kubernetes).
• Good Frontend knowledge in React.js, TypeScript, HTML, and CSS.
• Experience with monitoring and observability tools (Prometheus, Grafana, etc.).
• Solid understanding of software engineering best practices, CI/CD, and performance optimization.
• Strong communication skills and ability to mentor peers.
• Passion for learning and applying new technologies.

Equal Opportunity Employer Statement

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.