Staff Software Engineer, Delivery Engineering

Jobgether; Canada; Remote; CAD 195,000 - 265,000; Full time

Benefits offered by this job

Competitive salary

Remote for EST Canada

Comprehensive benefits

Paid time off

Mental health support

Professional development

Flexible work environment

Accommodations

Job summary

Jobgether, working on behalf of a partner company, seeks a Staff Software Engineer, Delivery Engineering in Canada. Help define and scale an AI-driven software development lifecycle, building internal platforms and developer tooling to boost engineering velocity, reliability, and collaboration.

You will mentor engineers, influence technical strategy, and evaluate AI models and tools while collaborating across teams to deliver secure, scalable systems.

Qualifications

• 8+ years of professional software engineering experience.
• Experience leading AI-agent initiatives with measurable results.
• Hands-on with agentic development tools, coding agents, MCP, and prompt design.
• Ability to evaluate AI-generated code and agent performance, including token economics and cost optimization.
• Experience building/maintaining internal developer tooling with adoption impact.
• Strong Go backend ownership: production services, API design, data modeling, and integration.
• Excellent technical judgment and problem solving; prioritize engineering direction.
• Strong communication, collaboration, and leadership beyond formal authority.
• User-focused mindset; keen on applying emerging AI tech to practical challenges.

Responsibilities

• Define and evolve the end-to-end AI-enabled software development lifecycle.
• Evaluate AI agents, harnesses, MCP, and related tooling for standards.
• Build and support internal platforms and developer tools for engineering teams.
• Collaborate with engineers to understand workflows and remove bottlenecks.
• Drive adoption of shared tools and workflows across the organization.
• Measure agent usage, throughput, quality, reliability, and token consumption.

Skills

AI agents

Agentic tooling

MCP

Prompt design

Go backend

Production systems

API design

Data modeling

Leadership

Cost optimization

Reliability

Tools

Internal platforms

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Delivery Engineering based in Canada.

Help shape the future of software development as AI agents transform how engineering teams plan, build, review, and deliver code. In this senior technical role, you will define and advance the tools, platforms, and workflows that enable engineers to work faster, more confidently, and securely. You will help establish an end-to-end, AI-driven software development lifecycle while evaluating emerging technologies and developing shared solutions that scale across teams. Working closely with engineers and technical stakeholders, you will translate real-world needs into practical engineering standards and measurable improvements. This is an opportunity to influence organization-wide technical strategy, mentor fellow engineers, and help establish new best practices in an evolving field. The position is remote for candidates based in Canada’s Eastern time zone.

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.