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Kafka Architect
ALEPHYS PTE. LTD.Islandwide, SG1 day ago
Job descriptionInstall, configure, and upgrade Confluent Platform components (Brokers, Schema Registry, Connect, ksqlDB, Control Center). Manage Kafka clusters in bare metal, VM, Kubernetes (CFK / Strimzi), or cloud environments . Implement monitoring, alerting, and observability (Prometheus, Grafana, Control Center, Splunk, Datadog). Perform capacity planning, scaling, and performance tuning of Kafka clusters. Ensure data reliability and cluster stability through proactive health checks and troubleshooting. Build producers, consumers, and stream-processing applications using Java, Python, Kafka Streams, or ksqlDB. Develop Kafka Connect pipelines for integrating databases, APIs, and data lakes / warehouses. Implement schema evolution and governance using Confluent Schema Registry (Avro, Protobuf, JSON Schema). Partner with developers to build event-driven microservices and optimize client-side performance. Establish CI / CD pipelines and automate deployments using Terraform, Ansible, Helm, or GitOps . Provide day-to-day operational support for Kafka environments. Lead incident troubleshooting, root cause analysis, and recovery efforts. Manage security patches, upgrades, and audit compliance . Tune stateful streaming workloads (RocksDB, memory, JVM, network). Work with cross-functional teams (data, security, infra) to ensure enterprise adoption. 7+ years in software engineering or infrastructure roles, with 3–5 years focused on Kafka / Confluent . Strong hands-on expertise in Kafka cluster administration and application development . Proficiency in Confluent Platform components : Brokers, Connect, Schema Registry, ksqlDB, Control Center. Solid understanding of Kafka internals (ISR, partitioning, leader election, log compaction). Experience with security protocols : TLS, mTLS, SASL (SCRAM, Kerberos, OAuth), ACLs, RBAC. Strong programming skills in Java, Scala, or Python . Familiarity with event-driven patterns (CDC, CQRS, event sourcing). Experience with Kubernetes (CFK) and IaC (Terraform, Ansible, Helm). Knowledge of stream processing (Kafka Streams, Flink, Spark Streaming). Strong problem-solving skills with ability to dive into cluster issues, performance bottlenecks, and production outages . Exposure to CI / CD pipelines and DevOps practices. You’ll work end-to-end : architecting, installing, managing, and developing Kafka-based solutions. Direct impact on building real-time, event-driven enterprise platforms . Opportunity to work with cutting-edge Confluent technologies at scale.
Roles & Responsibilities
We are looking for a highly skilled Kafka Engineer / Architect who can design, build, and operate enterprise-scale streaming platforms. This role is hands-on and combines responsibilities across architecture, cluster installation, administration, and application development . The ideal candidate has deep knowledge of Kafka internals, Confluent Platform components, and event-driven application design.
Key Responsibilities
Architecture & Design
- Design scalable and fault-tolerant Confluent Platform / Confluent Cloud architectures (on-prem, cloud, hybrid).
- Define data streaming strategies including topic design, partitioning, replication, retention, and compaction policies.
- Architect disaster recovery (DR), geo-replication, and high availability solutions.
- Establish security, governance, and compliance models (TLS, mTLS, SASL, RBAC, ACLs).
Installation & Management
Development & Integration
Operations & Support
Required Skills & Experience
Preferred Qualifications
Why This Role?
Tell employers what skills you have
Kubernetes
Pipelines
MetaL
Architect
VM
Application Development
Root Cause Analysis
Administration
Audit Compliance
Microservices
Python
Apache Kafka
Performance Tuning
Ansible
Java
Disaster Recovery
Databases
Linux
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