Senior Java Engineer (Data Integration, iPaaS, highload)

🚀About the Company:

• A global B2B product company building a robust Integration Platform as a Service (iPaaS), designed to help organizations seamlessly connect data sources, cloud apps, and enterprise systems.
• The platform processes millions of events daily and supports hundreds of data integration flows in real-time.
• Engineering culture is driven by technical excellence, ownership, and collaboration across distributed teams in Europe and North America.

📊About the Product:

The product focuses on scalability, reliability, and extensibility — empowering engineering teams to build and maintain complex integrations using a flexible and developer-friendly environment. Core areas include real-time data ingestion, CDC (Change Data Capture), data observability, and connector development

📌 What you’ll do:

• This role focuses on building components of database connectivity(data connectors, connection pools, request routers, database bridges) and on designing and implementing components of messaging connectivity: connectors and message routers for Kafka, JMS, RabbitMQ and Amazon SQS for a cutting-edge data orchestration platform.
• Work with SRE and Infrastructure teams to troubleshoot and optimize production-grade systems
• Write scalable, testable, maintainable Java code
• Contribute in all phases of the development lifecycle
• Perform code and architecture reviews

💼 What we expect:

• 10+ years in software engineering
• Strong experience with Java(Core, concurrency, JVM)
• Experience with Relational Databases, SQL and JDBC (Oracle, PostgreSQL, SQL Server, etc.)
• Experience with containerization, CI/CD, cloud platforms
• Understanding of scalable systems and backend reliability
• Experience with test-driven development.
• English level - at least Upper-intermediate(B2)

Nice to have(s):

• Experience with Kubernetes and public cloud infrastructure providers (AWS/Azure/Google Cloud/Heroku)
• Ruby/Go
• Experience in related fields (DevOps, PKI, distributed systems, data replication, etc)
• Data engineering background

💡What we offer:

• Competitive salary+stock options
• Remote work, flexible working hours
• Top-tier engineering team
• Support for professional development and continuous learning
• Wellness programs, including fitness challenges and an occasional company day off to recover from Zoom fatigue
• Company-sponsored team-bonding activities and team celebrations