
51 - 200 employees
Founded 2015
💳 Fintech
🏠 Real Estate
Fintech • Real Estate • AI
PhoenixTeam is a company specializing in providing innovative solutions and services to the mortgage industry through integration of data analytics and software development. They focus on delivering quality outcomes by leveraging advanced technologies and methodologies to enhance business processes and drive value for clients in both commercial and federal sectors. Their offerings include training programs, advising, coaching, and customized product solutions designed to align with the specific needs of mortgage professionals, ensuring successful implementation and user adoption.
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51 - 200 employees
Founded 2015
💳 Fintech
🏠 Real Estate
Fintech • Real Estate • AI
PhoenixTeam is a company specializing in providing innovative solutions and services to the mortgage industry through integration of data analytics and software development. They focus on delivering quality outcomes by leveraging advanced technologies and methodologies to enhance business processes and drive value for clients in both commercial and federal sectors. Their offerings include training programs, advising, coaching, and customized product solutions designed to align with the specific needs of mortgage professionals, ensuring successful implementation and user adoption.
• Install, configure, and maintain Apache Kafka clusters in cloud and hybrid environments. • Manage Kafka brokers, ZooKeeper / KRaft, topics, partitions, and replication. • Monitor cluster health, throughput, latency, and availability. • Perform capacity planning, upgrades, patching, and performance tuning. • Implement high availability and disaster recovery strategies. • Design and develop event-driven architectures using Kafka. • Build and maintain Kafka producers and consumers. • Implement Kafka Streams / ksqlDB for real-time data processing. • Develop and manage Kafka Connect connectors for source and sink systems. • Ensure schema management using Schema Registry (Avro, JSON, Protobuf). • Implement Kafka security features including SSL/TLS, SASL, and ACLs. • Enforce data encryption in transit and at rest. • Integrate Kafka with IAM and enterprise authentication systems. • Support compliance with HIPAA, CMS, FISMA, FedRAMP, and NIST standards. • Assist with audits, security documentation, and ATO processes. • Integrate Kafka streams with API Gateways (e.g., MuleSoft). • Support near real-time data feeds for fraud detection and analytics platforms. • Collaborate with API developers and data architects on integration patterns. • Ensure reliable data delivery and message ordering. • Integrate with existing monitoring and alerting tools like Splunk, New Relic, Grafana, ELK, or Confluent Control Center. • Troubleshoot production issues and perform root cause analysis. • Support incident response and on-call rotations. • Document configurations, processes, and operational runbooks. • Work closely with DevSecOps, data engineering, QA, and security teams. • Participate in Agile ceremonies and release planning. • Provide technical guidance and best practices for streaming solutions.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). • 4+ years of experience with Confluent Kafka administration and development. • Hands-on experience with Kafka Connect, Kafka Streams, and Schema Registry. • Experience with cloud platforms (AWS MSK, Confluent Cloud, Azure Event Hubs for Kafka). • Strong Linux and scripting skills (Bash, Python).
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