Senior Backend Architect — AI Data Platform

Why Join IXIS

We offer a competitive and comprehensive package, including:

• Health, dental, and vision insurance
• Short-term & long-term disability coverage
• 401(k) with company match
• Flexible schedules and fully remote options
• Wellness programs and professional development opportunities
• A collaborative, innovation-first culture where AI meets data engineering

Role Overview

IXIS is seeking a Senior Backend Architect to define, design, and scale the backend architecture for our AI-powered data platform. You’ll lead the technical strategy behind our advanced analytics infrastructure, data pipelines, and real-time decisioning systems that power ATLAS.

This is a strategic, hands-on leadership role. You’ll architect highly scalable data services, design streaming pipelines optimized for machine learning workloads, and partner with engineering, product, and data science teams to deliver next-generation AI capabilities to enterprise clients.

If you’re passionate about building intelligent, cloud-native data platforms and shaping the future of AI-driven analytics, this is your opportunity to have a major impact.

Key Responsibilities

Architecture & Platform Strategy

• 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.
• Evaluate trade-offs between serverless, containerized, and event-driven architectures to ensure scalability, cost efficiency, and AI performance.
• Establish platform-wide standards for security, observability, and performance.

AI-Optimized Data Infrastructure

• 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.

Collaboration & Leadership

• Partner closely with engineering, product, and data science leaders to translate business problems into AI-powered solutions.
• 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.

Infrastructure & DevOps

• Oversee AWS infrastructure strategy, optimizing for AI performance, cost management, and resilience.
• Implement automated CI/CD pipelines, testing frameworks, and MLOps best practices.
• Ensure strong monitoring, logging, and observability across all backend services.

Required Qualifications

• 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.
• 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.
• Experience implementing CI/CD pipelines and automated test frameworks for AI-first applications.

Preferred Skills (Nice to Have)

• Experience integrating Business Intelligence and data visualization tools (e.g., Tableau, Power BI, or custom React dashboards).
• Familiarity with statistical programming and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Exposure to frontend technologies like React for end-to-end architectural awareness.
• Experience with observability stacks (OpenTelemetry, Datadog, CloudWatch) for AI-driven workloads.

What Success Looks Like in This Role

• You design a highly scalable, cloud-native architecture powering IXIS’s AI-enabled analytics platform.
• You enable data scientists and engineers to deliver predictive insights and intelligent decisioning faster.
• You define platform-wide standards for real-time analytics, AI integration, and performance optimization.
• You play a critical role in positioning IXIS as a leader in AI-powered enterprise analytics.

Tech Stack You’ll Lead

• Cloud & Infrastructure: AWS (Lambda, API Gateway, Kinesis, DynamoDB, S3, Redshift, SageMaker)
• Languages: Python, Node.js, R
• AI & ML: SageMaker, TensorFlow, PyTorch, Scikit-learn
• Pipelines: Real-time streaming, serverless ETL, MLOps
• Databases: SQL, NoSQL
• Visualization & BI: Tableau, Power BI, custom React dashboards

This is an opportunity to own the architecture behind a next-generation AI data platform, collaborate with cross-functional leaders, and deliver technology that transforms how brands unlock the value of their data.