IT – Senior Technology Architect | Microservices | Microservices API Management

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SysMind
Texas, UNITED STATES, United States
  • Construction
  • FullTime

Job Title: Senior Technology Architect | Microservices | Microservices API ManagementWork Location & Reporting Address: Dallas TX 75252 ( Hybrid )market rateContract duration 12Target Start Date 01 Oct 2025Does this position require Visa independent candidates only? YesJob Details:

Must Have Skills
API
Java
KafkaDetailed JD (Roles and Responsibilities)As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions.Total Experience: 10 YrsRelevant Experience: 5 YrsMandatory skills 5 years of hands-on experience with Apacperson Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.)
Strong proficiency in Java, Python, or Scala
Solid understanding of event-driven architecture and data streaming patterns
Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure
Familiarity with Docker, Kubernetes, and CI/CD pipelines
Excellent problem-solving and communication abilitiesDesired skills Candidates with experience in Confluent Kafka and its ecosystem will be given preference:Experience with Kafka Connect, Kafka Streams, KSQL, Scpersonma Registry, REST Proxy, Confluent Control Center
Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apacperson Flink
Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC
Confluent certifications (Developer, Administrator, or Flink Developer)
Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes
Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns
Exposure to monitoring tools (Prometheus, Grafana, Splunk)
Experience with data lakes, data warehouses, or big data ecosystemsPersonal:· High analytical skills· A high degree of initiative and flexibility· High customer orientation· High quality awareness· Excellent verbal and written communication skillsInterview Process (Is face to face required?)
No

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