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.
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