We are seeking an accomplished Senior Developer with deep experience designing and building enterprise-grade APIs, event-driven solutions using Apache Kafka, and search/data solutions using Elasticsearch.

The ideal candidate will be a hands-on engineer who can take ownership of solution design through implementation, build highly scalable and resilient services, and work effectively within modern distributed and cloud-based architectures.

Key Responsibilities

Design, develop, test, and maintain scalable RESTful APIs and microservices.
Lead API design efforts, including API contracts, versioning, authentication/authorization, error handling, observability, and performance.
Build event-driven and asynchronous solutions using Apache Kafka, including producers, consumers, topics, partitions, consumer groups, and event-processing patterns.
Design and develop solutions leveraging Elasticsearch for high-volume indexing, querying, search, and data retrieval.
Integrate APIs and services with Kafka, Elasticsearch, databases, and other enterprise platforms.
Design solutions for high availability, scalability, resiliency, and fault tolerance.
Troubleshoot complex production issues involving APIs, distributed services, Kafka messaging, and Elasticsearch.
Develop automated unit, integration, and API tests and contribute to strong engineering and CI/CD practices.
Participate in architecture and design reviews and recommend improvements to existing applications and integrations.
Perform code reviews and provide technical guidance to other developers.
Partner with architects, product teams, DevOps engineers, and business stakeholders to translate requirements into reliable technical solutions.

Required Qualifications

Strong professional experience as a Senior Software Engineer/Developer (10 years +) building enterprise-scale applications and distributed systems.
Expert-level experience designing and developing REST APIs and microservices.
Strong hands-on experience with Apache Kafka, including:
Producers and consumers
Topics and partitions
Consumer groups
Event-driven architecture
Message serialization and schemas
Error handling, retries, and dead-letter/error-processing patterns
Monitoring and troubleshooting
Strong hands-on experience with Elasticsearch, including:
Index design and mappings
Query development
Data ingestion and indexing
Search optimization
Performance tuning and troubleshooting
Strong development experience with Java/Spring Boot or a comparable enterprise development stack.
Experience building high-volume, highly available distributed applications.
Strong understanding of API security and authentication patterns, including OAuth 2.0/JWT.
Experience with Git, automated testing, CI/CD, and modern DevOps practices.
Experience working with containerized/cloud-native applications using technologies such as Docker and Kubernetes.
Strong debugging, performance analysis, and production support skills.

Preferred Qualifications

Experience with Kafka Streams, Kafka Connect, or Confluent Platform.
Experience with the broader Elastic Stack, including Kibana and Logstash.
Experience developing solutions on Azure, AWS, or another major cloud platform.
Experience with API management/gateway technologies.
Understanding of OpenAPI/Swagger specifications and API-first development.
Experience with observability platforms and distributed application monitoring.
Experience operating APIs, Kafka workloads, and Elasticsearch at significant enterprise

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