Specialty Software Engineer - API Developer - Cloud, AI

Senior / Lead Backend Integration Engineer | Software Engineering | Charlotte, NC or San Francisco Bay Area Our client is a leading financial services organization focused on modernizing enterprise data science and predictive analytics platforms. Based out of Charlotte, NC and the San Francisco Bay Area, they are looking to hire a Senior / Lead Backend Integration Engineer on a contract basis . If you're passionate about building scalable backend systems that power next-generation AI and predictive modeling solutions, this is an exciting opportunity to make a significant impact. This role is ideal for an engineer who enjoys solving complex integration challenges, developing high-performance services, and connecting advanced analytics capabilities to real-world business applications. You'll work alongside data scientists, platform engineers, and global technology teams while helping drive cloud modernization initiatives. This position offers exposure to cutting-edge technologies, technical leadership opportunities, and the chance to influence the architecture of large-scale enterprise solutions.

Location:

Charlotte, NC or San Francisco Bay Area (multiple office locations available)

Work Schedule:

Hybrid - 3 days onsite per week

Contract Duration:

12+ Months Required Skills & Experience 5+ years of software engineering experience Strong backend development experience using Golang and/or Python Experience building scalable, real-time services and APIs Strong understanding of microservices and service integration architectures Proven experience leading projects, initiatives, or engineering teams Experience with containerization technologies such as Kubernetes Linux administration and development experience Experience with Git and CI/CD pipelines Strong relational database experience Excellent communication and collaboration skills Desired Skills & Experience Experience with Google Cloud Platform (Google Cloud Platform) Exposure to Vertex AI, BigQuery, or cloud-native AI/ML platforms Experience integrating predictive models into enterprise applications Knowledge of model-serving architectures and API gateways Rust and/or C++ experience Familiarity with GenAI, LLMs, or AI agents Experience working in distributed or global team environments What You Will Be Doing Tech Breakdown 40% Golang/Python Backend Development 25% API & Service Integration 15% Cloud & Container Technologies (Google Cloud Platform/Kubernetes) 10% CI/CD & DevOps Practices 10% Architecture & Technical Leadership Daily Responsibilities Design and develop scalable backend services and APIs Build integration layers that expose predictive model outputs to business applications Create real-time services supporting AI and machine learning solutions Partner with data science teams to operationalize predictive models Collaborate with global engineering teams on platform modernization efforts Contribute to architecture and design decisions for enterprise-scale systems Implement CI/CD best practices and deployment automation Mentor engineers and provide technical leadership across projects Support cloud migration and modernization initiatives You will receive the following benefits: Medical Insurance - Four medical plans to choose from for you and your family Dental & Orthodontia Benefits Vision Benefits Health Savings Account (HSA) Health and Dependent Care Flexible Spending Accounts Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance Hospital Indemnity Insurance 401(k) including match with pre and post-tax options Paid Sick Time Leave Legal and Identity Protection Plans Pre-tax Commuter Benefit 529 College Saver Plan Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP's Employment Accommodation policy. Applicants need to make their needs known in advance.