Senior Engineering Manager

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead and nurture engineering teams through coaching, constructive feedback, performance management, and talent development.

• Cultivate the growth of senior engineers, technical leads, and emerging leaders.

• Empower technical leads to prototype and validate solutions, make informed technical decisions, and drive initiatives from discovery to implementation.

• Recruit, onboard, retain, and develop engineering talent effectively.

• Collaborate with Engineering leadership on team structure, capacity planning, resource allocation, and workforce requirements.

• Oversee execution and delivery across designated engineering teams, managing priorities, ownership, dependencies, risks, and commitments.

• Enhance operational practices, planning cycles, backlog readiness, delivery tracking, blocker resolution, and team accountability.

• Identify and resolve cross-team dependencies and systemic delivery challenges.

• Utilize streamlined workflows, automated reporting, and engineering and delivery metrics to enhance execution and inform decision-making.

• Communicate progress, risks, challenges, resource requirements, and delivery outcomes to Engineering leadership and stakeholders.

• Provide technical leadership in alignment with architecture, quality, reliability, and technical strategy.

• Collaborate with senior and principal engineers on technical approaches, assumptions, architecture, and decision-making.

• Maintain hands-on technical involvement to guide teams and facilitate informed decision-making.

• Propel improvements in engineering practices, architecture, tooling, and operational methodologies.

• Ensure sustainable on-call practices, staffing, and accountability for production systems.

• Establish and utilize SLOs, error budgets, and reliability metrics.

• Lead coordination for major incidents, decision-making, escalation, and stakeholder communication.

• Drive postmortems and monitor corrective actions to ensure closure.

• Collaborate across Engineering to address operational root causes and enhance reliability.

• Work with Product and cross-functional stakeholders to define problem statements, business context, priorities, and success criteria.

• Advocate for AI-assisted development in solution exploration, planning, ticket creation, development, and workflows.

• Improve Product and Engineering working practices, clarifying ownership and handoffs.

• Enable engineers to engage in discovery, requirements definition, technical solutioning, and delivery.

• Identify opportunities for AI, automation, and enhanced engineering practices to boost productivity and organizational effectiveness.

⛳️ Requirements

• A minimum of 8 years of software engineering experience, including hands-on roles in enterprise or SaaS settings with a strong emphasis on technical skills and innovation.

• At least 4 years of engineering management and/or people management experience, demonstrating success in leading, coaching, and developing engineering teams.

• Proven experience leading multiple engineering teams or initiatives that span various engineering teams and stakeholders.

• Demonstrated ownership of team execution and delivery, including planning, prioritization, dependency management, risk identification, and continuous improvement of development workflows.

• Experience collaborating with senior Engineering and Product leadership on organizational priorities, resource needs, technical trade-offs, and execution strategies.

• Familiarity with production services management, including on-call responsibilities, SLOs, incident response, and postmortems.

• Experience in highly collaborative Product and Engineering environments where engineers actively participate in discovery, requirements definition, technical solutioning, and delivery.

• Strong technical judgment with the ability to guide design decisions, challenge assumptions, and empower senior and lead engineers to take ownership of technical initiatives.

• Excellent communication and stakeholder management skills, capable of fostering clarity across engineering, product, and other cross-functional teams.

• Proficient in cloud platform management and architecture, preferably Azure, supporting scalable, high-performance systems and cloud-native deployments.

• Strong Java/Kotlin development expertise, with the ability to offer technical guidance across backend services and microservices development.

• Experience leveraging or leading teams that utilize AI-assisted software development tools and workflows.

• A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• Recent hands-on coding experience is preferred.

• Familiarity with Kubernetes and container orchestration and deployment is an advantage.

• Experience with the React framework is a plus.

• Experience in designing and implementing microservice architectures that support distributed systems and system reliability is a plus.

🏝️ Benefits

• Remote work arrangement.