Senior Forward Deployed Engineer

We are seeking a  Senior Forward Deployed Engineer Spread Products (Financing & Securitization)  to join our dynamic team. The ideal candidate will have strong experience in  Java, Python, Spring Boot, Microservices, CI/CD, and container orchestration  and a proven ability to  deliver production-grade solutions for trading, risk, and operations use cases while owning discovery through production readiness .

Responsibilities:

Serve as the primary technical point of contact embedded with client teams to gather requirements and define delivery plans.

Prototype and deliver production-ready applications in Java or Python to solve trading, risk, and operational problems.

Translate ambiguous business asks into clear technical specifications and sequencing.

Architect and build scalable, resilient services using Spring Boot, REST/gRPC, and microservices patterns.

Leverage Python frameworks for APIs, analytics, and automation as appropriate.

Design, implement, and maintain CI/CD with Tekton/Open Shift Pipelines and Jenkins.

Deploy and operate containerized workloads on Open Shift/Kubernetes with best practices for reliability and security.

Model data and optimize queries across Oracle Database, MS SQL Server, and MongoDB.

Ensure enterprise-grade security, auditability, and compliance throughout the delivery lifecycle.

Produce documentation and communicate architecture decisions to technical and business stakeholders.

Required Skills &

Qualifications:

Expertise in Java (Core Java, Java 17+, Spring Boot, Microservices, REST/gRPC) and production experience in Python 3.x.

Hands-on with Python frameworks such as FastAPI or Flask/Django, and data libraries like Pandas/Num Py.

CI/CD with Tekton (Red Hat Open Shift Pipelines) and Jenkins.

Containers and orchestration using Docker, Kubernetes, and Open Shift.

Database expertise with Oracle Database, Microsoft SQL Server, and MongoDB, including performance tuning and schema design.

API and integration experience with REST and messaging/streaming platforms such as Kafka or similar.

Security-first mindset with secure coding practices and auditability for financial data.

8+ years of professional software engineering experience in full-stack or backend roles with customer-facing delivery exposure.

Preferred

Skills:

Monitoring and observability tools such as Grafana, Prometheus, and ELK/Splunk.

Event-driven architectures and streaming design patterns.

Python-based analytics and quant tooling including Jupyter and scikit-learn.

Scripting and automation that combine Java and Python within one pipeline.

Domain knowledge in Fintech, Capital Markets, or Securitization (ABS, MBS).