Live opening · Posted 5 days ago

Kafka Integration Platform Engineer

BRMi · Us-Kyuyele, Sakha, Russia (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyBRMi
LocationUs-Kyuyele, Sakha, Russia (Remote)
Work modeYes
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

Overview
BRMi is seeking a Kafka Integration Platform Engineer to support a large financial services client. An in-person interview is required for this position at a near campus location (Vienna VA or Pensacola FL) to prevent employment fraud.
Benefits
Comprehensive Medical, Dental, and Vision Insurance
Employer-Paid Life Insurance
Employer-Paid Short-Term and Long-Term Disability Insurance
401(k)
Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
Educational Assistance
Salary: $108-118K
Can be 100% remote in TX, VA, MD, DC, WV or FL**
Click here to learn about BRMi's culture.
Click here to see BRMi’s Glassdoor reviews
Responsibilities
A Kafka Engineer is responsible for designing, implementing, and managing Kafka-based streaming data pipelines, ensuring high availability, scalability, and real-time data processing across systems.
Design and Manage Kafka Infrastructure: Kafka Engineers configure, deploy, and maintain Kafka clusters, ensuring optimal performance, reliability, and scalability for real-time data streaming applications
Design Kafka cluster environments, manage topics and schemas, and implement security measures to protect data streams Develop and Maintain Data Pipelines:
Build and optimize Kafka-based data pipelines, integrating with databases, NoSQL stores, and cloud storage using Kafka Connectors (e.g., JDBC, MongoDB, S3) to enable seamless data ingestion and processing
Monitor and Troubleshoot: Kafka Engineers continuously monitor system performance, troubleshoot issues, and resolve Kafka-related problems to minimize downtime and ensure uninterrupted data flow
Collaboration and Integration: work closely with development and data teams to integrate Kafka into applications and services, supporting real-time analytics and data-driven decision-making
Automation and Optimization:Automate cluster operations using infrastructure-as-code tools like Terraform or Ansible, optimize configurations for performance, and ensure efficient resource utilization
Qualifications
5+ years of experience supporting enterprise messaging and event-driven platforms.
3+ years of hands-on administration experience with Confluent Kafka.
Experience managing multi-environment Kafka deployments (Development, QA, Performance, DR, and Production).
Experience with Kafka cluster sizing, broker management, partition strategy, replication, retention policies, and capacity planning.
Experience in troubleshooting producer, consumer, broker, and cluster-level issues.
Experience with Confluent Control Center, Schema Registry, Connect, ksqlDB, and stream processing technologies.
Experience implementing high availability, disaster recovery, and multi-cluster replication strategies.
Hands-on experience with Kafka security, including TLS, mTLS, RBAC, ACLs, encryption, and authentication mechanisms.
Experience integrating Kafka with Kubernetes/OpenShift, cloud platforms, observability tools, and CI/CD pipelines.
Strong understanding of event-driven architecture, data contracts, and enterprise integration patterns.
Preferred candidates with confluent certifications
BRMi will not sponsor applicants for work visas for this position.**
This is a W2 opportunity only**
EOE/Minorities/Females/Vet/Disabled
We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.

Work arrangement
Yes

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