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 (GCP)
• 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 (GCP/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.