Cloud Solutions Engineer
4 weeks ago
Cloud Solutions for Risk Management
CPP Investments is a global investment organization seeking a skilled Cloud Solutions Engineer to build cloud-based solutions for its next-generation Risk Management system.
This is an opportunity to demonstrate leadership and software engineering excellence as you work with a team of agile developers transforming CPP Investments' Risk systems to a cloud-based technology stack.
The Opportunity:
- Provide technical leadership and coach team members on cloud technology and best practices
- Implement financial product specific processing in the cloud for CPP Investments' next-generation Risk Management system
- Design and build robust and scalable cloud solutions by working closely with our internal business partners, cloud providers and GitHub community, and fellow IT teams
- Develop, maintain, and support cloud software solutions, micro-services, and user interfaces to allow future innovations to be used by the firm
- Apply cloud technology and build components through rapid prototyping exercises to solicit early user feedback, discover appropriate solutions, and implement incremental improvement
- Support innovation in the cloud and contribute to sustainable development and automated deployment practices, including DevOps, continuous integration and delivery, orchestration, and infrastructure as code
- Participate in the project life cycle from analysis, to development and testing, and applies best practices and hands-on expertise as required
- Provide troubleshooting support and knowledge transfer to the application support team
Requirements:
This role demands proven communication, analytical and problem-solving skills to help deliver and maintain robust, scalable solutions to the Risk Systems team. Specific requirements for the Cloud Solutions Engineer include:
- Exceptional technology skills; recognized by your peers as an expert in your domain
- Experience in software engineering for Capital Markets and/or Risk Management preferred
- Possess a passion for technology, stays sharp in the craft by keeping on top of new technologies, tools, and trends
- Demonstrated experience with Amazon Web Services Serverless technologies is essential, including S3, Lambdas, Apache Airflow, etc. or equivalent Google Cloud or Azure
- Solid Python programming skills to cleanse, manipulate, and present data preferred
- Strong knowledge of both relational and NoSQL databases
- Experience in utilizing the modern SDLC platforms such as GitHub Enterprise (Source Control), Jenkins (CI) and IBM UrbanCode (DevOps)
- Experience modelling complex data structures, patterns, and relationships
- Experience setting up deployment automation, automated unit testing, code repositories
- Excellent written verbal communication skills and ability to manage cross-functional and business expectations
- University degree, preferably in Computer Science or Computer Engineering
- Exemplifies our Guiding Principles of integrity, partnership, and high performance
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