• Être en contact régulier avec le client et l’équipe conception • Garant des systèmes de sûreté et activités d'ingénierie associées • Suivi technique et financier des projets

Role Description As a Staff Full-Stack Engineer at Reltio, you will be a key member of our new Data Quality team, responsible for building a cutting-edge Data Observability platform from scratch. This platform will provide automated profiling and anomaly detection across various data sources, including: - Cloud Data Warehouses (Snowflake, BigQuery, Databricks, Redshift) - dbt - Kafka/streaming - SaaS applications (SFDC/Dynamics) You will contribute to both the API and UI development, ensuring a robust and intuitive experience. This is an individual contributor role. Job Duties and Responsibilities - Design, develop, and maintain the Data Observability platform using Python for the agentic and backend services. - Implement robust and scalable APIs for seamless integration with various data sources. - Collaborate with frontend engineers on UI design and contribute to UI development as needed. - Collaborate with cross-functional teams to define requirements, design solutions, and ensure the successful delivery of the platform. - Contribute to the entire software development lifecycle, from conceptualization and design to deployment and ongoing maintenance. - Ensure the platform's performance, reliability, and security through rigorous testing and adherence to best practices. - Mentor junior/middle engineers and contribute to a culture of technical excellence and continuous improvement. Qualifications - 7+ years of experience in enterprise software development, building scalable backend platforms. - Expert hands-on experience developing backend services and platform APIs using Python (e.g., FastAPI, Flask, Django). - Proven track record of delivering high-quality enterprise SaaS platforms in high-stakes environments. - Experience delivering SaaS applications that scale and perform with low latency and high throughput. - Strong written and verbal communication skills. - Proven track record of unit and integration testing with CI/CD as part of your development process. - Experience working with AI and automation tools to improve productivity and delivery speed (GitHub Copilot, Claude Code, Cursor, VSCode Kilo Code, etc.). Skills That Are Nice to Have - Familiarity with cloud-based development using AWS, Google Cloud Platform (GCP), and/or Microsoft Azure services (such as Lambda, S3, Pub/Sub, Dataflow, or Azure Functions). - Ability to deliver modern, intuitive UI/UX using React.js (and optionally TypeScript) with minimal guidance. - Background in Data Quality systems, frameworks, or tools (e.g., profiling, validation, monitoring). - Experience or understanding of Master Data Management (MDM) concepts, data modeling, and enterprise data integration patterns. - Exposure to containerization and orchestration technologies (Docker, Kubernetes). - Familiarity with monitoring and observability stacks (Mezmo, Grafana, etc.). Company Description Reltio has earned numerous awards and top rankings for our technology, our culture, and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

• Rearchitect performance critical functionality to eliminate bottlenecks and ensure strong scalability and performance • Drive performance testing • Investigate performance related limitations to find both short and long term improvements and necessary changes • Implementation of future architectural enhancements of the platform • Development of the platform to meet the standards of performance and scalability expectations • Collaborating with Senior Architects to take ownership and drive key initiatives

Role Description We operate a multi-tenant automotive SaaS platform serving thousands of dealer groups across the United States. Our backend orchestrates everything from dealer onboarding to inventory management to real-time transaction processing. We are building agentic AI systems: autonomous, tool-using agents that observe platform state, reason over dealer context, take action through production APIs, and learn from outcomes. This Principal Engineer owns that entire surface. You are writing agent code, defining tool interfaces, building evaluation harnesses, setting cost and latency budgets, and shipping production AI workflows that touch real dealers and real money. Scope & Scale - 5000+ destination dealer tenants, each with isolated databases and per-tenant configuration. - Billions in annual Gross Merchandise Value (GMV) flowing through platform transactions. - Tens of thousands of API requests per minute across REST, SOAP, and event-driven integration surfaces. - Data pipelines spanning 6 integration domains with multi-protocol vendor connectivity. What You Will Own - Ownership and core development of agentic AI systems — designing, building, and operating the AI agent infrastructure. - AI agent lifecycle end to end — from prompt engineering and tool-use design through guardrails, evaluation, cost optimization, and production observability. - System design and technical decision-making for migration waves. - The dual-write framework, API Gateway traffic-splitting, and per-tenant feature flag rollout. - Cross-cutting concerns: observability, security posture, and data architecture. - Mentoring and force-multiplying senior ICs — establishing patterns, reviewing designs, and raising the technical bar across 5 engineering teams. - Consolidate and strategize 30+ different integrations and make future integrations easier. Technical Environment - Cloud Services: High-availability AWS stack including Lambda, EventBridge, DynamoDB, S3, ECS Fargate, Aurora, API Gateway, CloudWatch, and Secrets Manager. - Development Languages: Modern Python and Java (Spring Boot) alongside TypeScript/React (Next.js 16) frontends, with legacy domain coverage in PHP/Laravel. - AI & Agentic Systems: Advanced agentic workflow orchestration utilizing lean AWS Bedrock AgentCore, MCP servers, or LangChain/LangGraph frameworks. - Data Engineering: Complex data architectures featuring DynamoDB single-table design, MySQL/Aurora, S3 data lakes, Glue Data Catalog, Athena, and Data pipelines. - Infrastructure & Security: Enterprise-grade CI/CD and observability via CloudFormation, Auth0 consolidation, OpenTelemetry, and CircleCI. - Integration Surfaces: Multi-protocol connectivity spanning REST, SOAP/XML, EventBridge event-bus patterns, SES processing, and Playwright browser automation. First 12 Months - Months 1–3: Immerse in the codebase. Audit the current architecture across all stacks. Publish the first Architecture Decision Record (ADR) for the next migration wave. - Months 4–6: Drive the AI/agentic integration layer — Bedrock-powered automation in at least one production workflow. - Months 7–9: Own and deliver the first migration wave end-to-end — from design doc through production cutover with dual-write validation. - Months 10–12: Second migration wave in production. Architecture runway documented for the next 12 months. Qualifications - 8+ years of software engineering experience with at least 3 years in a Staff / Principal / Architect role. - Build Cloud native solutions with emphasis on speed to market. - Deep hands-on experience with AWS serverless and traditional service architectures. - Experience spending 10-20% of your time in mentoring, cross-team alignment and operating mechanisms. - Track record of leading monolith-to-services migrations. - Fluency across multiple languages: PHP, Python, Java, and TypeScript. - Experience with event-driven architectures, configuration-driven workflow engines, and DynamoDB single-table design. - Strong opinions on observability and the discipline to instrument before you migrate. - The ability to write a design doc that a senior IC can implement without ambiguity. Preferred Qualifications - Automotive, fintech, or multi-tenant marketplace platform experience. - Experience with data pipelines or ETL/data lake tooling. - Familiarity with Auth0 Organization model, M2M apps, and Actions for JWT enrichment. - Experience with browser automation in production integration flows. Benefits - Comprehensive medical, dental, and vision benefits. - Employer provided STD/LTD and life insurance. - Matching 401k plan. - Unlimited paid time off, including 10 paid holidays. - Real ownership of a high-stakes AI surface — your roadmap, your architecture decisions, your metrics.