Engineering Manager, Software Development

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