Note: The job is a remote job and is open to candidates in USA. National Debt Relief (NDR) is seeking a Senior Platform Engineer, Data & AI to help build and scale the next generation of our enterprise data and AI platform. This role focuses on designing and implementing cloud-native services in AWS that support internal applications, customer intelligence initiatives, and AI-driven products.

Responsibilities

• Design, develop, and maintain scalable backend services and APIs that power NDR’s Customer Data Platform and AI ecosystem
• Build secure, high-performance service layers on top of PostgreSQL, Snowflake, and other enterprise data platforms
• Design and implement RESTful APIs and service-oriented architectures using Python, FastAPI, and modern backend engineering practices
• Develop cloud-native applications and platform services within AWS using scalable, resilient architectural patterns
• Partner with Data Engineering teams to expose governed data products and operational datasets through reusable platform services
• Collaborate with ML Ops and Data Science teams to support model serving, feature delivery, inference workflows, and AI-powered applications
• Design and implement authentication, authorization, auditing, and governance controls for data and platform services
• Build and maintain CI/CD pipelines, Infrastructure-as-Code, testing frameworks, and deployment automation
• Establish observability, monitoring, logging, and alerting standards across platform services and APIs
• Optimize platform reliability, scalability, performance, and operational efficiency
• Contribute to platform architecture decisions and help define engineering standards across Data Engineering and AI initiatives
• Document system architecture, API contracts, operational processes, and engineering best practices

Skills

• Bachelor's degree in related field preferred
• 5 years of experience building production backend systems, platform services, cloud-native applications, or data platforms
• Strong experience building and operating APIs using FastAPI, Flask, Django, or similar frameworks
• Strong PostgreSQL experience including schema design, query optimization, indexing, and performance tuning
• Hands-on experience with AWS cloud services and modern cloud architecture patterns
• Strong experience with Docker and containerized application deployment
• Experience designing distributed systems and service-oriented architectures
• Experience implementing CI/CD workflows and modern software engineering best practices
• Experience with observability, monitoring, logging, and alerting frameworks
• Experience with pytest testing frameworks and patterns, including unit, integration, and end-to-end testing
• Experience with Bash and Unix-based environments
• Expert-level Python development experience
• Strong SQL expertise and experience working with enterprise data platforms such as Snowflake
• Familiarity with Infrastructure-as-Code tooling such as Terraform
• Strong communication and collaboration skills across Data Engineering, ML Ops, Product, and Analytics teams
• Ability to operate independently and help define platform standards and architecture direction
• Computer competency and ability to work with a computer
• Prioritize multiple tasks and projects simultaneously
• Exceptional written and verbal communication skills
• Punctuality expected, ready to report to work on a consistent basis
• Attain and maintain high performance expectations on a monthly basis
• Work in a fast-paced, high-volume setting
• Use and navigate multiple computer systems with exceptional multi-tasking skills
• Remain calm and professional during difficult discussions
• Take constructive feedback
• Available for full-time position
• Experience deploying model-serving or inference APIs
• Experience with ECS, EKS, Kubernetes, or serverless AWS architectures
• Experience supporting Customer Data Platforms (CDPs), customer 360 initiatives, or marketing technology ecosystems
• Experience with event-driven architectures, CDC pipelines, or streaming platforms
• Experience in financial services, fintech, or other regulated industries
• Strong software engineering fundamentals, including design patterns and maintainable architecture practices

Benefits

• Generous Medical, Dental, and Vision Benefits
• 401(k) with Company Match
• Paid Holidays, Volunteer Time Off, Sick Days, and Vacation
• 12 weeks Paid Parental Leave
• Pre-tax Transit Benefits
• No-Cost Life Insurance Benefits
• Voluntary Benefits Options
• ASPCA Pet Health Insurance Discount
• Wellness Incentive Program
• Employee mentorship and leadership programs

Company Overview