Grow your career with an innovative global bank in Mississauga, ON as aSenior Forward Deployed Java Engineer in Test (SDET) / Quality Engineering Architect to define, champion, and drive the global quality engineering strategy across multi-tier, high-throughput trading platforms. Contract role with strong possibility of extension and conversion to perm. Will require working a remotely with potential to move to hybrid 3 days onsite upon conversion.

Join one of the world’s most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 6+ Months

Required Technical Skills:

• 4+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into an FDE-style, customer-facing delivery role.
• Expert-level proficiency in Java (Core Java, Spring Boot, Microservices architecture, REST/gRPC APIs) and/or strong production experience in Python (FastAPI/Flask, data processing libraries).
• Ability to work across both Java and Python codebases, or demonstrated ability to ramp up quickly on the second language.
• Hands-on experience with Tekton/OpenShift Pipelines and Jenkins for CI/CD pipeline design and management.
• Strong database expertise across Oracle Database, MS SQL Server, and MongoDB, including performance tuning and schema design.
• Demonstrated knowledge of DevOps practices: containerization (Docker/OpenShift/Kubernetes), infrastructure as code, and cloud deployment (AWS/Azure/GCP — at least one).
• Excellent communication, technical writing, and stakeholder management skills; comfortable working directly with business stakeholders.
• High agency, ownership mindset, and comfort operating with ambiguity in fast-paced client-facing environments.

Desired Technical Skills

• Domain knowledge of Fintech, Capital Markets, or Spread Products — specifically Securitization (ABS, MBS).
• Prior experience as a Forward Deployed Engineer, Solutions Architect, or Technical Consultant embedded within financial institutions.
• Experience using Python for quantitative analytics, pricing models, or ML-driven risk tooling alongside a Java-based production stack

What You Will Be Doing:

Customer Delivery & Field Engineering

• Act as the primary technical point of contact embedded with client teams to gather requirements, scope solutions, and define technical sequencing.
• Rapidly prototype and deliver production-ready applications — using Java or Python, whichever best fits the use case — that solve real trading, risk, and operational problems.
• Balance tradeoffs between scope, speed, and quality to meet aggressive client timelines without compromising system integrity.
• Own Discovery & Scoping engagements — translating ambiguous business asks into clear technical specifications and delivery plans.
• Demonstrate strong business acumen: understand ROI/AI impact, enterprise workflows, stakeholder management, and establish continuous product feedback loops with client stakeholders.
• Produce clear technical documentation and communicate complex architecture decisions to both engineering and non-technical business audiences.

Architecture & Development

• Architect and build scalable, resilient full-stack applications using Java (Spring Boot/Spring Framework, Microservices) and/or Python (FastAPI/Flask), tailored to enterprise financial workflows.
• Leverage Python for rapid prototyping, data analytics, pricing/risk calculations, and automation scripts where appropriate.
• Apply strong data modeling and query optimization skills across Oracle Database, MS SQL Server, and MongoDB.
• Ensure solutions are built with enterprise-grade security, auditability, and regulatory compliance across both Java and Python codebases.

DevOps, CI/CD & Infrastructure

• Design, build, and maintain CI/CD pipelines using Tekton (Red Hat OpenShift Pipelines) and Jenkins to enable rapid, reliable, and auditable deployments for both Java and Python services.
• Deploy and manage containerized workloads on OpenShift/Kubernetes, applying infrastructure-as-code best practices.
• Be fluent in at least one major cloud platform and demonstrate the ability to deploy infrastructure as code reliably and repeatably.
• Own production readiness: ensure what is built won’t break or behave unexpectedly once live — including monitoring, alerting, rollback strategies, and incident response support.