Senior Software Engineer - Java

Senior Software Engineer – Java

7+ years of engineering experience
Expertise in Java and Python
Experience with AWS cloud platform and containerization (Docker/Kubernetes)
Knowledge of distributed data systems: Spark, distributed databases, event sourcing, CQRS patterns
Experience building high-throughput, low-latency services that handle enterprise-scale data volumes
Understanding of data formats and serialization: Avro, Protobuf, JSON Schema
Experience with REST API development and service-to-service communication patterns
Experience building platform services that other engineers consume (APIs, SDKs, shared libraries)
Knowledge of data modeling for both operational and analytical use cases
Understanding of DevOps practices: CI/CD, infrastructure as code, monitoring and alerting
Familiarity with agile development practices and working in cross-functional teams
RFC writing experience
Ownership mindset
Cross-functional collaboration experience

Implement data catalog APIs, schema registry services, and metadata management systems
Build high-throughput Kafka consumers/producers, stream processing applications with Flink/KStreams, and real-time data transformation services
Code the APIs and microservices that enable teams to publish, discover, and consume data products independently
Implement the foundational services that enable domain teams to create and manage their data products
Build connectors and adapters that integrate legacy systems with the modern Data Mesh architecture
Implement metrics, logging, and health check systems for distributed data platform components
Create CLI tools, SDKs, and automation that make the platform easy for other engineers to adopt
Write RFCs for complex technical decisions, proposing solutions for cross-team challenges and platform evolution
Take full responsibility for services from design through production deployment, monitoring, and ongoing maintenance
Lead RFC discussions, propose architectural improvements, and influence platform direction through well-researched technical proposals
Own the operational excellence of your services – you build it, you run it, you support it
Take ownership of technical challenges that span multiple teams, driving solutions that benefit the entire platform
Set the bar for code quality, testing practices, and operational excellence within the platform team

Strong Kafka experience: Building producers/consumers, stream processing applications, managing topics, partitions, and handling failures
Proficiency with streaming frameworks: Kafka Streams, Apache Flink, or similar technologies
Experience with Data Mesh, Data Lake, or modern data platform implementations
Knowledge of schema evolution and backward compatibility strategies
Experience with financial services data and regulatory requirements
Contributions to open source projects in the data/streaming space