Pacific Life is seeking a Senior Software Engineer to innovate its business and create a superior customer experience by building robust, data-centric solutions for investment risk analytics, modeling, and reporting.
Requirements
- Solid understanding of software engineering best practices and SDLC processes, including version control (Git), testing, and agile methodologies.
- Strong experience in designing and developing RESTful APIs and web applications using modern frameworks (e.g., React, Angular, .NET, or similar).
- Proficiency in cloud platforms (AWS preferred) and experience with infrastructure automation tools like Terraform and Azure Pipelines.
- Familiarity with data platforms such as Snowflake and SQL-based data access patterns.
- Experience in financial services, particularly in investment risk management, portfolio analytics, or asset management.
- Knowledge of key risk concepts such as stress testing and scenario modeling.
- Exposure to data transformation frameworks like DBT is a plus.
Responsibilities
- Build and maintain software systems that support investment risk analytics, including scenario modeling, stress testing, and portfolio analysis.
- Collaborate with product managers, analysts, and engineers to translate business requirements into technical solutions.
- Champion SDLC best practices, including secure coding standards, peer reviews, and documentation, to ensure auditability and maintainability.
- Provide technical guidance and oversight to business-side developers, promoting consistency, reusability, and adherence to enterprise architecture standards.
- Drive software delivery using modern DevOps practices, including CI/CD pipelines, infrastructure as code, and automated testing.
- Ensure high standards of code quality, performance, and security across all layers of the application stack.
- Contribute to the architecture and evolution of cloud-native platforms leveraging: Snowflake for scalable data warehousing and analytics, Matillion for data transformation and orchestration, SQL and Python for data processing and business logic, AWS for cloud infrastructure and services, React.js for building interactive data-driven user interfaces
Other
- Ability to work independently and collaboratively in a fast-paced, agile environment.
- Excellent communication skills with the ability to translate complex technical concepts into business value.
- Demonstrated ability to mentor non-technical or semi-technical stakeholders, fostering a culture of engineering excellence across business units.
- A passion for continuous learning and a proactive approach to mastering new technologies and business domains.
- 8+ years of experience plus a 4-year degree or equivalent experience in Systems and Software Development
