Senior Java Engineer, TD Securities

TD•Toronto, ON

17h•Onsite

About The Position

The Product Control and Finance Technology Engineering Team is looking to add a self-starting, high-performing Java and Data engineer to help us design and implement next-generation calculations, analytics and business process automation platform. This role is an excellent opportunity to drive the strategic evolution P&L and other critical financial metrics solutions through investments in evolving technologies and partnerships across the bank with senior, executive stakeholders. We are seeking a highly motivated self-starter with broad experience in engineering of high throughput, highly performant and highly distributed solutions. The individual will be involved in all facets of the product and software development and will actively contribute to the strategy and vision. The prospective individual is hands-on, broadly experienced engineer who enjoys working with different levels of individuals and takes great pride in leading other engineers in executing the envisioned strategy. The individual is excited to tackle highly complex solutions through innovative implementations which yield highly flexible, performant, portable and re-usable systems.

Requirements

Undergraduate degree in Computer Science, Engineering, or a related field.
7-12+ years of professional back-end development experience, with strong knowledge of Java, Distributed/Low-Latency Computing and large data platforms.
Strong understanding of and ample experience in microservices, Spring/Spring Boot, with Kubernetes experience preferred.
Deep hands-on expertise in object-oriented design, memory management, and concurrency.
5+ years of experience working in the Capital Markets domain, with an understanding of its complexities.
Proven expertise in designing scalable, production-grade applications and services.
Proficiency in messaging/streaming frameworks (e.g. Spring, Kafka, Protocol Buffers).
Strong knowledge of relational SQL and NoSQL databases.
Comfortable working within Git‑based workflows, CI/CD pipelines, and modern build systems.
Comfortable with generative AI and AI-assisted development process.
Excellent written and verbal communication skills.
Proactive mindset with a strong sense of ownership and accountability.
Ability to communicate technical concepts clearly and collaborate effectively with cross functional partners, while maintaining primary ownership of hands-on development work.

Nice To Haves

Experience with Spark pipelines and cloud-based solutions is a plus.
Experience in financial industry is preferred, and knowledge of common financial concepts is a plus.

Responsibilities

Collaborate with development teams, business stakeholders, and project teams to solve complex data and system integration problems.
Design, develop, and maintain data pipelines for mission-critical applications.
Implement data products and features in collaboration with our business partners.
Ensure data quality and operational integrity across data sources.
Provide technical expertise to our Support teams in resolving escalated incidents.