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Senior Engineering Leader

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Experience
10+ years of software engineering experience, including 3+ years leading engineering teams or engineering managers, ideally within banking, payments, insurance, or FinTech.
Posting language
English
Posted

Original job description

About BrainRidge

BrainRidge Consulting is a premium FinTech Technology Consulting firm with the energy of a startup and experience of an enterprise. With a mission to empower financial institutions and organizations to thrive in the digital age, we provide cutting-edge technology solutions and strategic guidance to drive innovation and growth. As we continue to grow, we are seeking a motivated and experienced Senior Engineering Leader.

Role Overview

We are seeking a hands-on and delivery-focused Senior Engineering Leader to lead engineering teams building and modernizing backend banking systems for one of our major financial services clients. You will own technical delivery from design through production, guiding teams across microservices, APIs, integration, and cloud platforms while staying close to the code and architecture. Working alongside client technology leaders, architects, and product partners, you will raise engineering standards, improve developer experience, and introduce AI-assisted engineering practices that help teams deliver faster and with more confidence.

Key Responsibilities

  • Lead and grow engineering teams delivering backend banking platforms, microservices, and APIs across key client domains such as accounts, payments, and lending.
  • Own technical delivery end to end, from solution design and estimation through build, testing, release, and production support.
  • Drive modernization of legacy platforms and integrations, including monolith to microservices and MuleSoft to Spring Boot migrations.
  • Define and improve CI/CD pipelines, release practices, and platform tooling to increase deployment speed, reliability, and developer autonomy.
  • Champion developer experience by identifying workflow and tooling bottlenecks and leading improvements such as internal developer platforms and feature flagging.
  • Introduce and scale AI-assisted engineering practices across design, coding, testing, and deployment, with clear guardrails for a regulated environment.
  • Partner with architects, product owners, and business stakeholders to translate priorities into engineering roadmaps and measurable outcomes.
  • Set engineering standards for code quality, observability, security, and service ownership, and mentor engineers and technical leads to raise the bar across teams.
  • Represent BrainRidge with client leadership, building trusted relationships and identifying opportunities to expand our delivery footprint.

Qualifications

  • 10+ years of software engineering experience, including 3+ years leading engineering teams or engineering managers, ideally within banking, payments, insurance, or FinTech.
  • Strong hands-on background in Java and Spring Boot, microservices, and RESTful or GraphQL API design.
  • Experience with integration platforms and event-driven architecture, such as MuleSoft, Kafka, or similar messaging and streaming technologies.
  • Proven ability to communicate clearly with senior stakeholders and align technical delivery with business goals in a client-facing setting.
  • Experience leading legacy modernization or platform engineering initiatives, with a track record of improving developer productivity and delivery speed.
  • Practical exposure to AI-assisted software development, including AI coding tools, AI agents, or building engineering enablement tooling.
  • Familiarity with Azure DevOps, GitHub Actions, Jenkins, or ArgoCD, cloud platforms (Azure, AWS, or GCP), Kubernetes, and observability tools such as Splunk, Elasticsearch, or Datadog.
  • Understanding of security and regulatory expectations in financial services, including OAuth 2.0 and secure API access.
  • Excellent problem-solving, organizational, and leadership skills.

Our Commitment

At BrainRidge Consulting, we value and prioritize diversity, equity, and inclusion. We believe that a diverse and inclusive workplace leads to a more innovative and productive team. We welcome applicants of all backgrounds and are committed to providing a safe, fair, and welcoming environment where everyone feels valued and respected. If you require accommodations during the hiring process, please let us know.
More about this job

Responsibilities

Lead engineering teams delivering and modernizing backend banking systems, owning technical delivery from design and estimation through release and production support. Improve engineering standards, developer experience, delivery practices, and AI-assisted development while partnering with client stakeholders and mentoring engineers.

Requirements

Requires 10+ years of software engineering experience, including 3+ years leading engineering teams, with strong hands-on expertise in Java, Spring Boot, microservices, APIs, and integration or event-driven systems. Candidates should have experience with modernization and platform engineering, cloud and CI/CD tools, AI-assisted development, financial-services security, and senior stakeholder communication.

Skills

  • Engineering Leadership
  • Java
  • Spring Boot
  • Microservices
  • RESTful APIs
  • GraphQL
  • MuleSoft
  • Kafka
  • Event-Driven Architecture
  • Legacy Modernization
  • CI/CD
  • Cloud Platforms
  • Kubernetes
  • AI-Assisted Software Development
  • OAuth 2.0
  • Observability

Visa sponsorship

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Categories

  • Technology
  • Software
  • Management & Leadership
  • Consulting
  • Finance & Accounting

Keywords

  • Banking
  • Financial Services
  • FinTech
  • Backend Systems
  • Java
  • Spring Boot
  • Microservices
  • RESTful APIs
  • GraphQL
  • MuleSoft
  • Kafka
  • Event-Driven Architecture
  • Legacy Modernization
  • Monolith Migration
  • CI/CD
  • Azure DevOps
  • GitHub Actions
  • Jenkins
  • ArgoCD
  • Azure
  • AWS
  • GCP
  • Kubernetes
  • Observability
  • Splunk
  • Elasticsearch
  • Datadog
  • AI-Assisted Engineering
  • OAuth 2.0
  • Developer Experience

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