Senior Software Engineer

What you will do

• Design, build, and deploy complex distributed systems across both domains
• Build high-volume streaming data processing services using Kafka to handle millions of engagement data points per day
• Design and implement real-time engagement-to-CRM entity mapping systems
• Develop robust Java-based microservices that integrate tightly with data storage solutions
• Build and own Python backend services and RESTful APIs handling millions of customer requests per day
• Build third-party integrations with major conference providers using their SDKs
• Own customer-facing aspects of the product end to end, from design through production operation
• Drive architectural decisions that span both areas — data modeling, service boundaries, performance optimization
• Help define and promote engineering best practices: design, documentation, code review, monitoring, observability
• Mentor and train engineers across the team, raising the technical bar in both domains
• Act as a technical point of contact across teams and personas, translating ambiguous product needs into concrete systems

What you bring

• 7+ years of industry software development experience; B.S. in Computer Science, Mathematics, Software Engineering, or equivalent
• Strong hands-on experience in both Java and Python in production settings (deep expertise in one and working proficiency in the other, with a track record of ramping fast on new stacks)
• 3+ years building distributed systems and microservices at scale
• 3+ years with streaming data platforms (Kafka strongly preferred)
• 4+ years of cloud experience (AWS/GCP) — a must
• Solid experience with both SQL and NoSQL stores (Mongo, Elasticsearch)
• Strong grasp of RESTful API design standards and event-driven architecture
• Experience with CI/CD, package management, and release cycles
• Strong architectural design skills while remaining deeply hands-on
• Excellent communication skills in English and the interpersonal range to collaborate cross-functionally
• Demonstrated leadership: mentoring engineers, driving projects independently, taking initiative without being asked

Bonus points

• Experience with CRM systems (Salesforce, Microsoft Dynamics) and integrating data services with them
• Apache Kafka ecosystem depth (Kafka Streams, Connect)
• Spring Boot microservices deployed to cloud
• Experience with conferencing platform SDKs (Zoom, Teams, Webex, Google Meet)
• Familiarity with data pipeline orchestration tools
• Monitoring and observability tooling for streaming systems
• Data modeling and schema design
• Previous experience in B2B data, sales intelligence, or conversation intelligence domains