Focus on solving data-related problems across both business and operational domains. This involves understanding complex systems and the data they generate and manage, and organizing this data into actionable information for decision-making.
Responsibilities
Develop customized coding, software integration, perform analysis, configure solutions, using tools specific to the project or the area.
Lead and participate in the development, testing, implementation, maintenance, and support of highly complex solutions in adherence to company standards, including robust unit testing and support for subsequent release testing.
Build non-functional monitoring capabilities and provide escalated support for highly complex applications in production.
Build in and maintain security controls and monitoring in support of company standards.
Typically lead moderately complex projects and participate in larger, more complex initiatives.
Solve complex technical and operational problems. Act as a resource for teammates with less experience.
May oversee the work of a small team.
In an Agile environment: Responsible for delivering high quality working software and automating manual/reusable tasks working directly, and engage with, the business from the beginning of the design work.
Leverage continuous engineering practices to deliver business value regarding effectiveness of the design.
Actively participate in refining user stories.
Responsible for design, developing, and maintaining automated unit testing, and supporting integration and functional testing.
Responsible for providing automated monitoring capabilities, providing warranty support, and providing knowledge transfer to production support.
Develop code in accordance with the acceptance criteria established by the Product Owner.
Requirements
Bachelor’s Degree and four to seven years of experience or equivalent education and software engineering training or experience.
In-depth knowledge in information systems and ability to identify, apply, and implement IT best practices.
Understanding of key business processes and competitive strategies related to the IT function.
Ability to plan and manage projects and solve complex problems by applying best practices.
Ability to provide direction and mentor less experienced teammates. Ability to interpret and convey complex, difficult, or sensitive information.
Nice-to-haves
Knowledge of specific applications, technology platforms, programming languages, systems, or business segments (PowerBI and/or other, R, Python, Java).
AI expertise and exposure are critical for data-related jobs as they enable professionals to leverage advanced algorithms and machine learning techniques.
Banking or financial services experience.
Knowledge of one or more of the following: Solid foundation in data structures, algorithms, and software design with strong analytical and debugging skills.
Professional experience building high-quality solutions or services from the ground up and scaling at an enterprise level.
Experience with Open Source tools and frameworks.
Experience with cloud technologies, such as AWS, Azure, or GCP.
Strong understanding of Open API methodologies and service architectures.
Benefits
Medical, dental, vision, life insurance, disability, accidental death and dismemberment.
Tax-preferred savings accounts.
401k plan.
No less than 10 days of vacation during the first year of employment, along with 10 sick days, and paid holidays.
Defined benefit pension plan, restricted stock units, and/or a deferred compensation plan may be available.