We’re looking for an exceptional API Platform Engineer who enjoys solving hard integration problems and building reliable data systems in secure cloud environments.
Responsibilities
Designing and implementing well-architected REST APIs that power mission applications.
Building resilient data ingestion pipelines that move data across distributed systems.
Developing cloud-native integrations using AWS services such as S3, Lambda, API Gateway, and event-driven architectures.
Designing and optimizing PostgreSQL schemas and queries for high-performance workloads.
Solving complex data integration challenges across multiple systems and formats.
Requirements
Bachelor’s degree in computer science, engineering, or related technical field
Expert(e) Kafka intervenant sur des environnements techniques complexes, automatisation, déploiement et industrialisation des plateformes de streaming et de messaging basées sur Apache Kafka et/ou Confluent.
Responsibilities
Mettre en œuvre les choix d'architecture Event-Driven (EDA) adaptés aux enjeux métiers et techniques.
Déployer et optimiser des plateformes de streaming et de messaging basées sur Apache Kafka et/ou Confluent.
Opérer les évolutions techniques et résoudre les problématiques de scalabilité, de disponibilité et de performance (Troubleshooting).
Participer activement aux projets de migration et de modernisation des plateformes Kafka.
Mettre en place les règles de gouvernance des événements : structuration, format, publication, souscription et cycle de vie.
Lead Architect for Event‑Driven Architecture, responsible for designing and evangelizing real‑time integration solutions and leading the Cloud Native & EDA practice.
Responsibilities
Define real‑time integration strategies and design Event Mesh architectures
Evangelize decoupling paradigms such as Event Sourcing, CQRS, and lead Event Storming workshops
Advise clients on solution choices (Kafka, Solace, Cloud native) based on business and geographic constraints
Design, audit, and optimize complex data streaming platforms with deep expertise in Apache Kafka and Confluent
Integrate other market standards (Solace PubSub+, Apache Pulsar, MQTT) and managed cloud services (AWS MSK, Google Pub/Sub)
Senior Manager focused on Data Architecture and Engineering within the Financial Services sector, leading diverse teams to deliver data and analytics services and drive growth for financial institutions.
Locations (3)
New York, New York, United States
Charlotte, North Carolina, United States
Dallas, Texas, United States
Responsibilities
Part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services
Solving complex issues and driving growth across financial services
Fostering an innovative and inclusive team-oriented work environment
Leading and coaching diverse teams of professionals with different backgrounds
Providing subject matter expertise in defining technical and business approaches
Senior technology leadership role responsible for defining and governing Empower's enterprise integration strategy across APIs, events, messaging, batch/file transfer, SaaS platforms, cloud-native services, legacy systems, data flows, and partner ecosystems.
Responsibilities
Define and execute a business-aligned integration architecture strategy and vision for Empower
Develop, document, and maintain technology roadmaps for enterprise integration capabilities
Create reference architectures, reusable patterns, standards, and decision frameworks for integration across applications, data, SaaS, legacy, and third-party ecosystems
Guide teams on when to use synchronous APIs, asynchronous messaging, event-driven architecture, batch/file transfer, data replication, change data capture, or workflow/process orchestration
Leverage knowledge of service-oriented architecture, microservices, domain-driven design, APIs, events, and integration patterns to deliver secure and scalable solutions
Undergraduate or master’s degree in a quantitative field (e.g., engineering, computer science, business, economics, finance, statistics, and/or analytics)