Distinguished Engineer in Toronto

Distinguished Engineer in Toronto

Toronto Full-Time 100 - 100 $ / hour (est.) Hybrid
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At a Glance

  • Tasks: Lead the design of high-performance fintech platforms using Java, Python, and cloud technologies.
  • Company: Join Intellibus, a leader in fintech innovation impacting billions globally.
  • Benefits: Competitive hourly rate, flexible work environment, and opportunities for professional growth.
  • Other info: Dynamic team culture with a focus on mentorship and innovation.
  • Why this job: Make a real impact in the fintech industry while working with cutting-edge technologies.
  • Qualifications: 10+ years in tech leadership, strong skills in Java/Python, and experience with cloud platforms.

The predicted salary is between 100 - 100 $ per hour.

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus, we will accomplish great things together! We are looking forward to you joining our Platform Engineering Team. Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps that support the backbone of the Financial Trading Industry.

We are looking for a leader who can:

  • Design and implement high-performance, scalable wealth management platforms using Java, Python, and cloud-native technologies (AWS/Azure/GCP).
  • Architect microservices-based solutions for portfolio analytics, client onboarding, and trading systems, including integration interface design and REST API standards.
  • Integrate FinTech APIs (e.g., Bloomberg, Reuters, Plaid) and third-party custodial/payment systems.
  • Ensure low-latency data processing for real-time risk assessment and rebalancing algorithms using Kafka topics and other event-driven architecture patterns.
  • Lead code reviews, system optimizations, and adoption of best practices (TDD, CI/CD, DevOps).
  • Mentor engineering teams in Java/Python frameworks (Spring Boot, Django, Pandas) and support best practices in event-driven microservices (e.g., Kafka, RabbitMQ).
  • Collaborate with quant analysts and data scientists to deploy AI/ML models for personalized financial advice.
  • Evaluate and integrate emerging technologies such as blockchain for asset tokenization, NLP for client chatbots, and robo-advisory tools.
  • Optimize data pipelines for client reporting, performance analytics, and regulatory disclosures.
  • Enhance security frameworks including OAuth, encryption protocols, and Zero Trust architectures.
  • Architect solutions that support hybrid environments, ensuring seamless operations across on-prem and AWS cloud infrastructures.
  • Design professional slide decks, architectural diagrams, and visual content using PowerPoint, Canva, and other tools to support client communications and internal stakeholder engagement effectively.

Qualifications and Experience:

  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
  • Leadership Experience: 10+ years of progressive leadership in technology roles within the wealth management, fintech, or financial services industry.
  • Technical Expertise: Advanced experience with CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and automation tools (e.g., Terraform, Ansible). Strong knowledge of programming languages such as Java and Python. Expertise in REST-based microservices, Kafka for real-time data streaming, and Snowflake & relational databases.
  • Certifications: Relevant certifications (e.g., AWS Certified DevOps Engineer, CISSP) are highly valued.
  • Innovation Skills: Proven ability to explore and implement new technologies such as AI, machine learning, blockchain, and data analytics.
  • Startup Experience: Previous experience in high-growth or startup environments with adaptability to scaling demands.

Compensation: $80 - $100 / Hour.

Our Process:

  • Schedule a 15 min Video Call with someone from our Team
  • 4 Proctored GQ Tests & Slideware (30-45 min Final Video Interview)
  • Receive Job Offer

Distinguished Engineer in Toronto employer: Intellibus

At Intellibus, we pride ourselves on being an exceptional employer that fosters innovation and collaboration within the fintech sector. Our dynamic work culture encourages continuous learning and professional growth, providing employees with opportunities to lead impactful projects that shape the future of financial technology. Located in a vibrant tech hub, we offer competitive compensation and a supportive environment where your contributions can truly make a difference.

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Contact Details:

Intellibus Recruitment Team

We think you need these skills to ace Distinguished Engineer in Toronto

Java
Python
Cloud-native technologies (AWS/Azure/GCP)
Microservices architecture
REST API standards
FinTech API integration (e.g., Bloomberg, Reuters, Plaid)
Real-time data processing (Kafka)