Senior Software Developer, Python / Backend

Senior Software Developer, Python / Backend
Location: Calgary, AB (Hybrid - In-office 2 days a week)
Language: Strong written and verbal communication skills in English
Salary: $135,000–$158,000 CAD annually

About the Opportunity
Our client, an established global software company, is looking for an experienced Senior Backend Software Developer to help design, build, and optimize the core services powering its cloud-based enterprise platform.

The platform connects desktop applications, cloud services, and external systems, supporting customers worldwide. The team is responsible for developing critical backend capabilities, including identity and authentication, permissions management, notifications, auditing, and third-party integrations.

We're looking for an established senior-level developer with strong Python skills, extensive REST API development experience, and a solid understanding of microservices architecture.

This is a hands-on engineering role, with approximately 70% new development and 30% maintenance and enhancement of existing systems. You'll work on complex technical challenges, particularly improving performance and reliability across interconnected services while ensuring a seamless customer experience.

What's In It for You

• Competitive annual salary of $135,000–$158,000 CAD
• Hybrid work environment supporting flexibility and collaboration
• Opportunity to influence technical architecture and platform scalability
• Collaborative engineering culture that values mentorship, innovation, and continuous improvement
• Exposure to modern cloud technologies and complex distributed systems

Your Responsibilities

• Design, develop, and maintain scalable backend services and RESTful APIs using Python.
• Build and enhance microservices supporting authentication, authorization, permissions, notifications, auditing, and external integrations.
• Develop reliable integrations between desktop applications, cloud services, and third-party platforms.
• Identify and resolve performance bottlenecks across interconnected services, improving system responsiveness, scalability, and reliability.
• Contribute to software architecture and API design decisions, balancing performance, security, scalability, and maintainability.
• Develop and maintain cloud-native services using Kubernetes and cloud technologies.
• Write clean, maintainable, well-tested code and contribute to automated testing, CI/CD, and code reviews.
• Collaborate with developers, technical leads, and cross-functional engineering teams to deliver high-quality software.
• Provide technical guidance and mentorship to other developers while fostering a collaborative engineering environment.
• Leverage AI-assisted development tools where appropriate, maintaining strong engineering judgment and code quality.
• Occasionally contribute to frontend development using React and TypeScript.

Skills and Qualifications

• 8+ years of professional software development experience, ideally with previous experience in a senior-level engineering role.
• At least 2 years of professional Python development experience, preferably as a primary backend language.
• Strong hands-on experience designing, developing, and maintaining RESTful APIs in production environments.
• Solid understanding of microservices architecture, distributed systems, service-to-service communication, and integrations.
• Experience developing backend services within complex, interconnected software platforms.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Kubernetes, containerization, and cloud-native development.
• Strong knowledge of software architecture, system performance, scalability, troubleshooting, and optimization.
• Experience with automated testing, CI/CD pipelines, code reviews, and modern software development practices.
• Ability to independently solve complex technical problems, evaluate architectural trade-offs, and deliver reliable solutions.
• Strong communication and collaboration skills, with experience mentoring developers and working across engineering teams.
• Experience working in established engineering environments with structured development processes and cross-functional collaboration.

Nice to Have

• Experience with FastAPI or similar Python frameworks.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience developing identity, authentication, authorization, or permissions-management services.
• Experience troubleshooting and optimizing performance in distributed systems.
• Familiarity with Terraform and infrastructure as code.
• Exposure to React and TypeScript.
• Experience in geoscience, geology, civil engineering, or data-intensive software platforms.
• Familiarity with AI-assisted coding tools and development workflows

Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals.All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.