Technology Architect - microservices

VRK IT Vision Inc.; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

VRK IT Vision Inc. is seeking an experienced professional with 8+ years in Event Streaming architectures and the Kafka ecosystem. The role requires leading client engagements, translating business requirements into technical solutions, and mentoring team members. A deep understanding of distributed systems, data security, and cloud platforms (AWS/Azure/GCP) is essential. The successful candidate will also demonstrate strong leadership capabilities in influencing architecture decisions and optimizing platform performance.

Qualifications

• 8 years of experience in designing and architecting solutions using Apache Kafka.
• Ability to lead client engagements and translate business requirements into technical solutions.
• Deep understanding of Kafka internals and Confluent components.

Responsibilities

• Lead client engagements and guide implementation teams.
• Translate business requirements into technical solutions.
• Mentor team members and influence architecture decisions.

Skills

Event Streaming architectures

Kafka ecosystem

Distributed systems

Cloud platforms (AWS/Azure/GCP)

Data security

Data platforms

Stream processing (Apache Flink, Kafka Streams, ksqlDB)

Job description

Required Skills & Experience

• Proven expertise in Event Streaming architectures and Kafka ecosystem.
• Strong understanding of distributed systems and integration patterns.
• Experience with Confluent Use Cases and Platform Optimization.
• Hands-on knowledge of adjacent technologies: Cloud platforms (AWS/Azure/GCP), data security, and data platforms.
• Demonstrated ability to lead technical conversations and influence architecture decisions.
• Track record of mentoring and team leadership.
• Confluent Kafka, Cloud, AWS, Flink

Detailed Job Description

• 8 years of experience in designing and architecting solutions using Apache Kafka, with hands-on experience in Kafka
• Ability to lead client engagements, translate business requirements into technical solutions, and guide implementation teams.
• Deep understanding of Kafka internals, KRaft architecture, and Confluent components
• Experience with Cloud, Stream Governance, Data Lineage, and RBAC
• Expertise in stream processing Apache Flink, Kafka Streams, ksqlDB and event driven architecture