Lead Java Developer

Jobility Talent Solutions; Toronto; Híbrido; CAD 140 000 - 190 000; Tempo integral

Resumo da oferta

Jobility Talent Solutions in Toronto, ON, is seeking a seasoned Lead Java Developer for capital markets. This hybrid role combines hands-on coding with technical leadership to drive design and architecture of low-latency, high-throughput backend services.

You will own concurrency, data architectures, and cloud integration across AWS/Azure, collaborating with global trading desks and risk teams. A deep background in Capital Markets and a command of Core Java are essential to shape scalable

Qualificações

• 15+ years of software engineering experience in enterprise, mission-critical environments.
• Advanced proficiency in Core Java, deep understanding of OOP design principles, data structures, algorithms, and JVM internals.
• Proven track record in multi-threading, asynchronous processing, and engineering low-latency systems.
• Production-tested experience with Spring Framework (Spring Boot, Spring Integration, Spring Cloud).
• Strong proficiency in SQL, query optimization, enterprise caching mechanisms, and distributed/in-memory databases such as MemSQL (SingleStore).
• Hands-on exposure to cloud ecosystems—AWS or Azure (GCP or private cloud alternatives also considered).
• Solid background in Capital Markets or Debt Capital Markets (DCM), including familiarity with trade lifecycles, securities, or financial settlement workflows.

Responsabilidades

• Hands-on Architecture & Development: Lead the design, prototyping, and end-to-end development of resilient, low-latency, and high-throughput backend services using modern Java stacks.
• Technical Leadership: Guide engineering standards across design patterns, object-oriented principles, code reviews, and performance tuning for high-volume financial transactions.
• Concurrency & Performance Engineering: Build and optimize multi-threaded architectures, addressing lock contention, memory profiling, garbage collection tuning, and latency bottlenecks.
• Data & Cloud Integration: Architect data pipelines and persistent layers utilizing high-performance relational databases, modern caching solutions, and distributed data platforms (e.g., MemSQL/SingleStore).
• Cloud Transformation: Deploy, optimize, and maintain scalable solutions across major cloud environments (AWS, Azure, or equivalent enterprise cloud platforms).
• Cross-Functional Collaboration: Partner closely with business analysts, trading desks, risk managers, and operations teams to translate complex financial workflows into scalable technical deliverables.
• Global Stakeholder Communication: Work synchronously with distributed engineering hubs across regions, ensuring architectural alignment and clear delivery cadence.

Conhecimentos

Core Java

Concurrency

Distributed systems

Capital Markets

Spring Framework

SQL

Cloud: AWS/Azure

MemSQL/SingleStore

CI/CD

Docker

Kubernetes

Kafka/RabbitMQ

Ferramentas

MemSQL/SingleStore

Docker

Kubernetes

Apache Kafka

RabbitMQ

Descrição da oferta de emprego

Job Opportunity: Lead Java Developer - Capital Markets

Location: Toronto, ON (Hybrid)

Experience Level: 15+ Years

Position Overview

One of our client is seeking a seasoned, hands-on Lead Java Developer with deep expertise in enterprise financial systems to drive the design and architecture of mission-critical, low-latency applications. Based in Toronto in a hybrid capacity, this role demands an engineering lead who remains close to the code while steering technical decisions, enforcing robust engineering practices, and collaborating across global trading and financial operations teams.

The ideal candidate brings an exceptional command of Core Java, concurrency, and distributed data architectures, complemented by practical domain knowledge in Capital Markets or Debt Capital Markets (DCM).

Key Responsibilities

Hands-on Architecture & Development: Lead the design, prototyping, and end-to-end development of resilient, low-latency, and high-throughput backend services using modern Java stacks.

Technical Leadership: Guide engineering standards across design patterns, object-oriented principles, code reviews, and performance tuning for high-volume financial transactions.

Concurrency & Performance Engineering: Build and optimize multi-threaded architectures, addressing lock contention, memory profiling, garbage collection tuning, and latency bottlenecks.

Data & Cloud Integration: Architect data pipelines and persistent layers utilizing high-performance relational databases, modern caching solutions, and distributed data platforms (e.g., MemSQL/SingleStore).

Cloud Transformation: Deploy, optimize, and maintain scalable solutions across major cloud environments (AWS, Azure, or equivalent enterprise cloud platforms).

Cross-Functional Collaboration: Partner closely with business analysts, trading desks, risk managers, and operations teams to translate complex financial workflows into scalable technical deliverables.

Global Stakeholder Communication: Work synchronously with distributed engineering hubs across regions, ensuring architectural alignment and clear delivery cadence.

Required Technical Skills & Qualifications

• 15+ years of software engineering experience in enterprise, mission-critical environments.
• Advanced proficiency in Core Java, deep understanding of OOP design principles, data structures, algorithms, and JVM internals.
• Proven track record in multi-threading, asynchronous processing, and engineering low-latency systems.
• Comprehensive, production-tested experience with Spring Framework (Spring Boot, Spring Integration, Spring Cloud).
• Strong proficiency in SQL, query optimization, enterprise caching mechanisms, and distributed/in-memory databases such as MemSQL (SingleStore).
• Hands-on exposure to cloud ecosystems-primarily AWS or Azure (GCP or private cloud alternatives also considered).
• Solid background in Capital Markets or Debt Capital Markets (DCM), including familiarity with trade lifecycles, securities, or financial settlement workflows.

Preferred Qualifications

Functional knowledge of post-trade processing, clearing, or back-office financial operations.

Experience with message brokers (Apache Kafka, RabbitMQ) and event-driven architectures in trading environments.

• Hands-on background with automated CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code.