Software Engineer

4 weeks ago

Montreal, Canada Compunnel, Inc. Full time

Join the cutting-edge development team behind RICE (Risk Calculation Environment) — a highly integrated, functional Scala platform that underpins Client's fixed income risk management systems and next-generation trading applications. As a Senior Software Engineer on the Data Access Layer (DAL) team, you will contribute to the design and implementation of globally distributed systems that serve as the backbone for data access and storage across the platform. This role offers the opportunity to work with state-of-the-art technologies and solve complex, large-scale engineering problems in a collaborative and technically rich environment.

Key Responsibilities:

- Design, develop, and maintain performant and distributed systems for data storage, access, and distribution within the RICE platform.
- Integrate with a range of technologies such as MongoDB, PostgreSQL, Kafka, and both internal and external cloud infrastructures.
- Take ownership of technical deliverables and help guide other engineers through architecture and implementation.
- Contribute to all phases of the development lifecycle: analysis, design, development, testing, deployment, and support.
- Collaborate with global team members and communicate effectively across time zones.
- Partner with application developers to understand their data access needs and deliver scalable, efficient solutions.
- Identify opportunities for system and process improvements, and take initiative to drive change.
- Work in an agile environment, continuously learning and adopting best practices.

Required Qualifications:

- Strong analytical and problem-solving skills with a deep understanding of software engineering principles.
- Proficiency in one or more of the following programming languages: Scala, Java, C++, .NET, or similar. (Scala knowledge is a plus but not required; willingness to learn is essential.)
- Solid grasp of core computer science concepts, including algorithms, data structures, concurrency, and code optimization.
- Technically curious with an eagerness to understand system internals, design trade-offs, and performance characteristics.
- Demonstrated understanding of the importance of testing, documentation, and code quality.
- Ability to work independently and collaboratively in a fast-paced, global environment.

Preferred Qualifications (if any):

- Familiarity with SQL and NoSQL databases (e.g., MongoDB, PostgreSQL) is helpful but not mandatory.Experience working on large-scale enterprise systems.
- Background in financial services is not required, but the ability to work within complex technical ecosystems is advantageous.
- Exposure to distributed systems, functional programming, or cloud-based architectures is a plus.

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