Senior Middleware Engineer

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.

Key Responsibilities

• Design, implement, and maintain real-time data replication and streaming solutions across multi-cloud and on-prem environments.
• Act as a subject matter expert (SME) for IBM IIDR, ensuring high availability, performance tuning, and conflict-free data synchronization.
• Develop and support Kafka-based event streaming pipelines integrated with Debezium for CDC (Change Data Capture).
• Manage Redis clusters (on-prem and Azure) for caching, messaging, and data persistence use cases.
• Configure, optimize, and monitor Apache Solr for high-volume indexing and search performance.
• Collaborate with platform and application teams to ensure middleware alignment with architectural and security standards.
• Implement observability and monitoring solutions for proactive detection and troubleshooting.
• Contribute to automation of deployments, configuration management, and system upgrades.

• Proven expertise in designing and managing real-time data replication across heterogeneous databases (Oracle, Db2, SQL Server, PostgreSQL, etc.).
• Experience configuring CDC (Change Data Capture), tuning latency performance, and managing large-scale replication topologies.
• Strong troubleshooting and monitoring capabilities using IIDR logs, MQ integration, and event diagnostics.
• Understanding of HA/DR configurations and conflict resolution in multi-node environments.

• Advanced experience with Kafka clusters, brokers, topics, partitions, and schema registry.
• Implementation of high-throughput streaming pipelines, partitioning strategies, and message delivery guarantees (at-least-once, exactly-once).
• Integration with Debezium connectors, Kafka Connect, and Kafka Streams for data processing.
• Strong knowledge of Kafka security, replication, and performance tuning in distributed setups.

• Deep knowledge of Redis architecture, persistence mechanisms (RDB, AOF), clustering, and sharding.
• Experience deploying and managing Redis Enterprise / Azure Cache for Redis.
• Performance optimization, memory management, and failover configuration.
• Integration of Redis as cache layer, message broker, and session store for high-performance applications.

• Administration and tuning of SolrCloud clusters, including sharding, replication, and indexing performance.
• Schema design and advanced query optimization for large-scale datasets.
• Integration with data ingestion pipelines and search-driven analytics.
• Knowledge of Zookeeper coordination and backup/recovery strategies.

• Hands-on experience with Debezium connectors for database change data capture on Azure environments.
• Integration with Kafka Connect and stream processing frameworks.
• Troubleshooting event streaming, schema evolution, and offset management.
• Experience implementing data lineage and governance for CDC pipelines.

• Strong understanding of data integration architectures, event-driven systems, and real-time analytics.
• Familiarity with Azure ecosystem (AKS, Event Hubs, Data Factory, Synapse).
• Knowledge of containerization (Docker/Kubernetes) and CI/CD automation.
• Experience in system observability (Prometheus, Grafana, ELK, OpenTelemetry).

• Strong problem-solving and analytical mindset.
• Excellent communication and collaboration in multi-vendor or hybrid teams.
• Ability to document complex architectures and mentor less experienced engineers.
• Proactive approach to performance tuning, automation, and incident prevention.

• 7+ years of experience in middleware or integration engineering roles.
• Proven record of critical system support and large-scale data streaming projects.
• Experience working with enterprise environments (finance, telecom, manufacturing, or equivalent).
• English proficiency and ability to operate in distributed global teams.