IXIS is seeking to define, design, and scale the backend architecture for their AI-powered data platform to deliver next-generation AI capabilities to enterprise clients
Requirements
- Proven expertise designing cloud-native, serverless AWS architectures (Lambda, API Gateway, Kinesis, DynamoDB, S3, Redshift, etc.)
- Strong experience building scalable APIs (GraphQL & REST) and high-performance distributed systems
- 5+ years of Python development (Node.js experience a plus)
- Expertise in SQL & NoSQL schema design for analytical and real-time workloads
- Experience building streaming and batch ETL pipelines optimized for machine learning and predictive analytics
- Hands-on experience deploying AI/ML models into production environments (MLOps familiarity a plus)
- Deep understanding of data modeling, feature engineering pipelines, and real-time scoring architectures
Responsibilities
- Architect the core backend systems powering IXIS’s AI-driven analytics platform
- Define the platform roadmap and establish architectural blueprints optimized for real-time insights, predictive analytics, and ML-driven automation
- Design real-time and batch data pipelines leveraging AWS serverless technologies (Lambda, Kinesis, DynamoDB, Redshift, S3)
- Collaborate with data science teams to integrate ML models into production at scale
- Build systems to ingest, normalize, and process multi-source datasets for downstream AI models and predictive analytics
- Architect APIs (GraphQL & REST) enabling data socialization and advanced visualization capabilities
- Oversee AWS infrastructure strategy, optimizing for AI performance, cost management, and resilience
Other
- Bachelor’s/Master’s degree in Computer Science, Software Engineering, or related field
- 8+ years of backend engineering experience, with at least 3+ years leading architecture for large-scale data platforms
- Collaborate with cross-functional teams, including engineering, product, and data science
- Mentor engineers and establish best practices for backend architecture, AI integration, and data engineering workflows
- Lead proofs-of-concept for emerging AI and cloud technologies that enhance the IXIS platform
