Staff Software Engineer, Delivery Engineering

Accountabilities: Define and evolve the end-to-end agentic software development lifecycle, covering change identification, planning, execution, pull requests, merging, and impact measurement. Evaluate AI coding agents, agent harnesses, repository patterns, MCP integrations, skills, and related tooling to establish effective standards and shared engineering practices. Build, maintain, and support internal platforms and developer tools that enable engineering teams to deliver software more efficiently, reliably, and securely. Collaborate directly with engineering teams to understand their workflows, identify bottlenecks, and develop solutions that fit their operational needs. Drive adoption of shared tools and workflows, taking ownership of both successful delivery and sustained usage across the organization. Instrument and analyze agent usage, engineering throughput, software quality, reliability, and token consumption to measure outcomes and guide improvements. Evaluate AI models, vendors, and open-source solutions, making informed build-versus-buy decisions based on engineering needs, cost, and reliability. Lead technical design discussions, document architectural decisions and trade-offs, influence cross-team engineering strategy, and mentor engineers adopting AI-driven development practices. Requirements At least 8 years of professional software engineering experience, including responsibility for production systems and technical decisions that affect multiple teams. Demonstrated experience leading initiatives that meaningfully changed how an engineering organization develops software using AI agents, including measuring results, driving adoption, and learning from unsuccessful approaches. Strong hands-on experience with agentic development tools, coding agents, agent harnesses, Model Context Protocol (MCP), and skills or prompt design. Ability to evaluate AI-generated code and agent performance, with a practical understanding of model selection, token economics, cost optimization, and reliability considerations. Proven experience building and maintaining internal platforms or developer tooling that other engineering teams depend on, including responsibility for adoption and long-term effectiveness. Strong backend engineering expertise in Go, including ownership of production services, API design, data modeling, and service integration. Excellent technical judgment and problem-solving skills, with the ability to turn the needs of multiple teams into clear priorities, documented decisions, and actionable engineering direction. Strong communication, collaboration, and leadership skills, including the ability to influence stakeholders, lead technical discussions, and mentor engineers without relying solely on formal authority. A user-focused mindset and enthusiasm for experimenting with emerging AI technologies to solve practical engineering challenges. Benefits Competitive salary: Canadian base salary range of CAD 195,000–265,000, depending on qualifications, experience, and other relevant factors. Remote work: Remote opportunity for eligible candidates based in Canada’s Eastern time zone. Comprehensive benefits: Benefits designed to support employee health and well-being, including coverage of up to 100% for employees, subject to the applicable benefit plan. Paid time off: Generous time off to rest, recharge, and maintain work-life balance. Mental health support: Holistic mental health resources and support. Professional development: Opportunities to learn new skills through project-based learning and presentations from colleagues. Flexible work environment: A flexible approach to where employees work, with opportunities to connect and build community. Accessibility and accommodations: Reasonable accommodations are available for candidates with disabilities during the application and interview process and throughout employment.