Platform Specialty Engineer

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, apply today.
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.