Job Title: API & Kafka Automation Engineer (Python Backend) NYC - Remote Job Description: We are seeking an Automation Engineer with expertise in API testing, Kafka, and Python backend development. The role involves building automated test frameworks, validating Kafka data streams, and ensuring the performance and reliability of APIs and backend systems. Key Skills: Strong experience in API automation and Kafka (producers/consumers).Proficient in Python for scripting and backend logic.Hands-on w
Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world
Role: Kafka Platform Engineer Remote but needs to travel to Washington, DC, quarterly, for PI planning meetings. Contract role. Experience: 10 years Required Qualifications: Design and implement Kafka clusters (on-prem or cloud) with high availability and performance tuning.Monitor, scale, and troubleshoot Kafka topics, brokers, producers, consumers, and connectors.Ensure platform resilience with partitioning strategies, replication, schema management, and disaster recovery.Enable self-service
Position: Kafka Platform Engineer Location: Remote Duration: Long Term Job Description: Design and implement Kafka clusters (on-prem or cloud) with high availability and performance tuning.Monitor, scale, and troubleshoot Kafka topics, brokers, producers, consumers, and connectors.Ensure platform resilience with partitioning strategies, replication, schema management, and disaster recovery.Enable self-service and reusability by building reusable patterns, APIs, governance hooks, and templates
Note: Remote Quarterly once for PI Planning Job Overview Design and implement Kafka clusters (on-prem or cloud) with high availability and performance tuning. Monitor, scale, and troubleshoot Kafka topics, brokers, producers, consumers, and connectors. Ensure platform resilience with partitioning strategies, replication, schema management, and disaster recovery. Enable self-service and reusability by building reusable patterns, APIs, governance hooks, and templates for other engineering teams.
Overview We are seeking an Associate Manager - Data IntegrationOps to support and assist in managing data integration and operations (IntegrationOps) programs within our growing data organization. In this role, you will help maintain and optimize data integration workflows, ensure data reliability, and support operational excellence. This position requires a solid understanding of enterprise data integration, ETL/ELT automation, cloud-based platforms, and operational support.Support the managem
