[Remote] Senior Platform Engineer, Data & AI
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