About IXIS

Founded in 2012, IXIS is transforming how brands harness AI and data to drive customer insights, personalization, and performance at scale. Our mission is to integrate and synchronize complex, disparate data systems while delivering a next-generation analytics platform that enables real-time intelligence across converging media and customer touchpoints.

At the core of our innovation is ATLAS — our AI-driven data platform — which empowers brands with advanced analytics, data socialization, and predictive insights. We combine cloud-native architectures, proprietary data models, and cutting-edge machine learning to solve some of the hardest challenges in data integration, decision automation, and customer experience optimization.

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.