
Staff Software Engineer – Platform and Cloud Services
Posted Sep 14

Posted Sep 14
This is a fully remote position, open to applicants in Canada.
• Take ownership of canonical data models and service boundaries within the designated domain.
• Manage the architecture for vital platform domains, ensuring design integrity, scalability, reliability, security, and long-term technical viability.
• Create AWS-native, event-driven, asynchronous, cloud-native services.
• Architect backend systems that support AI/ML workloads at scale.
• Develop tenant isolation, authentication, authorization, secure token management, and permission-aware data access.
• Collaborate with product and engineering leaders to translate business requirements into platform architectures.
• Lead significant platform initiatives from inception to completion and promote cross-functional technical alignment.
• Generate design documents, service contracts, and acceptance criteria.
• Design versioned, high-scale API contracts that include idempotency, structured error handling, and defined limits.
• Oversee initiatives from design to release while maintaining standards for reliability, security, observability, performance, scalability, usability, and cost.
• Advocate for infrastructure-as-code, automated testing, continuous delivery, and observability practices.
• Spearhead platform modernization and refactoring efforts.
• Contribute across the technology stack as necessary, with a primary focus on backend development.
• Remove obstacles for teams, expedite architectural decisions, and minimize long-term complexity.
• Collaborate with CloudOps, Security, MLOps, and integration teams.
• Mentor senior and mid-level engineers.
• Promote the practical adoption of beneficial AI capabilities.
• Bachelor's and/or master's degree in Computer Science, Information Systems, Software or Electrical/Electronics Engineering, or a related field.
• Over 8 years of professional software engineering experience, including a minimum of 2 years at the staff level.
• Proven leadership in making architecture decisions that span multiple teams.
• Ability to influence technical outcomes across a diverse range of stakeholders and teams without direct authority.
• Established record of owning substantial initiatives from start to finish, including release management.
• Strong expertise in Python; experience in Java is an advantage.
• Extensive experience in designing, building, and operating scalable, enterprise-level distributed systems on AWS.
• Solid skills in data modeling and service architecture.
• Familiarity with high-throughput data pipelines, asynchronous processing, or ML/inference services at scale and in a cost-effective manner.
• Robust understanding of application security and multi-tenancy, including aspects such as authentication/authorization, token management, tenant isolation, and permission-aware data access.
• Experience in designing high-scale API contracts.
• Strong background in infrastructure-as-code and CI/CD practices for cloud services.
• Comprehensive understanding of observability in distributed systems, including logging, metrics, tracing, and alerting.
• Demonstrated commitment to staying updated with rapidly evolving AI capabilities and integrating them into work and design.
• Exceptional written and verbal communication skills in English.
• Medical, dental, and vision insurance.
• Short-term and long-term disability coverage.
• Life insurance and AD&D benefits.
• Supplemental life insurance for employees, spouses, and children.
• Flexible Spending Accounts for healthcare and dependent care.
• 401(k) plan with company matching.
• Paid time off including Flexible Vacation for all eligible salaried employees.
• Paid parental leave.
• Optional benefits such as pet insurance.
• Floating holidays.
• Quarterly wellness days with no questions asked.
• Participation in Employee Resource Groups (ERGs).
• A healthy work/life balance.
• A diverse and inclusive workplace environment.
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