Engineering Manager, Software Development

Univeris•Toronto, ON

2d•CA$110,000 - CA$150,000•Hybrid

About The Position

We are seeking a senior Engineering Manager to provide leadership across software development teams at Univeris. Reporting to the VP of Engineering, the Engineering Manager is a people-first technical leader -- someone who brings deep engineering experience to the table, exercises strong judgement, and creates the conditions for their teams and Tech Leads to do their best work. Engineering Managers at Univeris participate actively in analysis and design, code reviews, client and escalation meetings, and internal planning. They drive process improvements, remove blockers, and maintain a clear line of sight into the health and output of their teams at all times. Above all, they are accountable for the people they manage -- their growth, their performance, and their success.

Requirements

Bachelor's Degree in Computer Science / related field or equivalent experience
10+ years of Software Development experience
6+ years of Development experience
5+ years of Engineering Leadership experience (Tech Lead, Engineering Manager, or equivalent)
5+ years of experience with Cloud-native / API-centric apps
Experience managing teams globally (across multiple offices and time zones)
Excellent analytical and problem-solving skills with a track record of driving complex issues to resolution
Strong written and verbal communication skills: able to convey complex concepts clearly to technical and non-technical stakeholders
Extensive history of success in technology delivery, including accountability for the technical output of development teams
Self-disciplined, hands-on, and leads by example
Proven ability to deliver high-quality results in ambiguous and fast-paced environments
Aptitude and genuine interest in learning new and emerging technologies, including AI
Cloud-centric apps: RESTful APIs, microservices, containers, Kubernetes, Terraform, Spring Boot
Architecture patterns: Event-driven, microservice, monolithic, SOA, client-server
Data: SQL Server, NoSQL, stored procedures, database profiling and tuning, data pipelines (Airbyte, dbt, Dagster, CDC)
DevOps ecosystem: CI/CD, Git, Sonar, Terraform, Ansible, Kubernetes
Security: Techniques and standards for remediation and mitigation of application vulnerabilities
Design: Understanding of the Strangler pattern for monolith-to-microservice migration
AI tooling: Hands-on experience with AI-assisted development tools across the SDLC

Nice To Haves

Prior experience managing Tech Leads or team leads is strongly preferred
Prior experience managing Tech Leads or engineering managers
Fluent in Spanish and English
Experience successfully migrating monolithic applications to microservice / cloud-centric architecture
Experience designing, building, and deploying both cloud and on-premise applications
Background in financial services or wealth management

Responsibilities

Own all aspects of people management for direct reports (Tech Leads): 1:1s, performance evaluations, coaching, career development planning, and team culture
Drive hiring end-to-end -- from defining role requirements through interviewing, selection, and onboarding
Identify and grow talent proactively, ensuring Tech Leads and their teams have clear paths for development
Foster a high-trust, high-accountability team environment grounded in psychological safety and a drive for excellence
Accountable for the delivery and execution of your team(s) -- setting goals, tracking progress, and ensuring commitments are met
Maintain a high degree of visibility into team health, velocity, risks, and blockers at all times
Unblock teams quickly and decisively, escalating when appropriate and following through to resolution
Align team output with broader engineering and organizational priorities
Participate actively in analysis, technical design, and code reviews -- maintaining enough technical context to make informed decisions and credibly support your Tech Leads
Ensure solutions align to Univeris Enterprise Architecture patterns and engineering standards
Refine and establish software development standards and guidelines, promoting a culture of ownership, quality, and continuous improvement across all stages of the SDLC
Collaborate with internal stakeholders and partners to inform and refine roadmaps, ensuring engineering-focused initiatives are represented
Identify opportunities to improve performance, stability, and architecture as part of ongoing delivery
Serve as Engineering's representative in cross-functional forums -- partnering with other Engineering Managers, Product Management, Architecture, DevOps, and Support to resolve cross-organizational issues
Participate in client-facing and escalation meetings as needed, representing the engineering team clearly and confidently
Drive alignment across teams on shared standards, processes, and priorities
Champion an AI-first engineering culture across your team(s) -- actively driving the evaluation, adoption, and effective use of AI tools across all stages of the SDLC
Maintain hands-on familiarity with AI tooling to credibly guide and coach Tech Leads in their own AI-first practices
Ensure AI-generated outputs meet Univeris quality, security, and architectural standards
Stay current on the evolving AI landscape and bring high-value capabilities to the organization proactively