Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Specialty Software Engineer in Columbus, OH (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially,
Contract Duration: 12 Months
Required Skills & Experience
- 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- Self-starter
- Enjoys being hands-on
- Skilled in systems thinking
- Fluent in Python, Java, and one additional language (e.g. Golang, Rust, Javascript, etc)
- Versed in cloud-native development
- Experienced with implementing GenAI-enabled solutions
Desired Skills & Experience
- Regulated industry and cybersecurity domain knowledge
What You Will Be Doing
- Consult on or participate in moderately complex initiatives and deliverables within Specialty Software Engineering and contribute to large-scale planning related to Specialty Software Engineering deliverables.
- Review and analyze moderately complex Specialty Software Engineering challenges that require an in-depth evaluation of variable factors.
- Contribute to the resolution of moderately complex issues and consult with others to meet Specialty Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
- Collaborate with client personnel in Specialty Software Engineering.
- Accelerates enterprise AI adoption and modernization efforts.
- Creates reusable platform capabilities supporting multiple stakeholder organizations.
- Simplifies onboarding of new AI use cases and data-driven solutions.
- Improves operational resilience through monitoring, observability, and automation.
- Reduces technology duplication through centralized platform services.
- Enables faster realization of value from DCMS data modernization investments.
- Supports scalable and governed consumption of enterprise data through AI services.