Advisor360° is looking to solve the problem of transforming how wealth management firms operate, scale, and serve their clients by building technology that powers the full advisor and client experience.
Requirements
- Knowledge of Python and .NET required; familiarity with Kafka and containers technologies a plus.
- Solid understanding of DB design concepts, familiar with SQL or other enterprise database systems.
- Experience with Jira, Confluence or related technologies.
- Experience with cloud-based development, particularly Microsoft Azure a plus.
- Experience implementing business critical database applications, micro-services and/or long-running backend data processing applications.
- Proficiency in SQL/relational databases and Bitbucket including building and release definitions within a CI and CD environment .
- Familiarity with Kafka and containers technologies
Responsibilities
- Acts as a key member of the team by making significant technical contributions to the planning and implementation of mid-scale projects from conception to completion.
- Validates requirements, performs analysis, design, programming, testing, documentation, and support for assigned projects to drive application changes.
- Develop and enhance the platform with new code, conferring with users, and studying systems flow, data usage, and work processes.
- Ensures compliance with coding standards and development procedures.
- Recognizes code, process and/or standard inefficiencies and suggests new standards and opportunities for improvement
- Build deep domain expertise on global infrastructure deployment technology and processes.
- Mentor and support team members with technical expertise and guidance.
Other
- BS in Computer Science, Engineering, and/or equivalent industry experience.
- 5+ years of software engineering experience building and releasing web services .
- Ability to work and communicate effectively across disciplines and teams.
- High threshold to work within highly complex and ambiguous situations.
- Openness to embracing AI systems and leveraging them to enhance productivity, problem-solving, and innovation.
