The Company
Univeris has been successfully building and modernizing wealth management software for over 30 years. We are the go-to solution for many financial services firms (mutual fund dealers, securities dealers, wealth management firms and insurance companies) that want to stay competitive in an intriguingly digital world. To date, more than 25,000 financial advisors and 1.5 million investors in 12 countries have converted to our platform, with over $450B in Assets Under Administration.
At Univeris, we value talent and ideas. Our employees have the freedom to do things they know would be great and meaningful for our clients and for the company. We are looking for people who are creative, get excited by new opportunities to learn and grow, and feel at home in an organization that supports them.
The Opportunity
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.
The Role
People Leadership
- 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
- Prior experience managing Tech Leads or team leads is strongly preferred
Delivery & Execution
- 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
- Skilled at managing ambiguity -- able to break down complex situations, identify critical issues, and make decisions with incomplete information
Engineering Leadership
- 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
Cross-Functional Collaboration
- 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
AI-First Engineering
- 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
The Successful Candidate
Basic Qualifications
- Education: Bachelor's Degree in Computer Science / related field or equivalent experience
- Managing managers / Tech Leads: Strong preference for prior experience
- Software Development: 10+ years
- Development: 6+ years
- Engineering Leadership: 5+ years (Tech Lead, Engineering Manager, or equivalent)
- Cloud-native / API-centric apps: 5+ years
Proven Qualifications -- General
- 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
Proven Qualifications -- Technical
- 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
Bonus Qualifications
- 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
- Prior experience managing Tech Leads or engineering managers
Work Environment
- Hybrid work model based in our downtown Toronto office (3 days per week onsite)
- Collaborative and supportive team environment, with opportunities to work closely with colleagues both in person and virtually during regular business hours
Diversity, Equity & Inclusion
At Univeris, we are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. We welcome applications from qualified candidates of all backgrounds and experiences.
Univeris is committed to providing accommodations throughout the recruitment process in accordance with applicable accessibility legislation. If you require accommodation at any stage of the hiring process, please contact [email protected].
