***We are unable to sponsor as this is a permanent full-time role***
A prestigious financial firm is looking for a Principal Software Engineer. This engineer will build software solutions to test systems of financial products. This engineer will need heavy experience using Java, python, Terraform, CI/CD, DevOps, and containerization. The ideal candidate will have experience of working in a highly regulated financial environment.
Responsibilities:
Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives.
Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources.
Develop CI/CD pipelines.
Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring.
Contribute to development of QRM's databases and ETLs.
Integrate model prototypes, model library and model testing tools using best industry practices and innovations.
Create unit and integration tests; build and enhance test automation tools.
Participate in code reviews and demo accomplishments.
Write technical documentation and user manuals.
Provide production support and perform troubleshooting.
Qualifications:
Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics
10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
Strong programing skills. Able to read and/or write code using a programming language (e.g., Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills.
Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment.
Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products.
DevOps experience, with a good command of CI/CD process and tools (e.g., Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments.
Experienced with cloud technology (AWS preferred), infrastructure-as-code (e.g. Terraform), managing and orchestrating containerized workloads (e.g. Kubernetes).
Experience with logging, profiling, monitoring, telemetry (e.g. Splunk, OpenTelemetry).
Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers).