Lead the design and scaling of distributed systems using Kotlin, Java, and Spring Boot, ensuring the platform can handle massive traffic spikes during live global events.
Build and optimize high-throughput applications using Postgres, Kafka, and Redis/Redis PubSub, prioritizing data integrity and low latency.
Drive performance across services and infrastructure, implementing strategies for backpressure, circuit breaking, and "Exactly-Once" processing.
Partner with product and engineering leadership to align technical strategy with business goals, making "big bet" decisions on build vs. buy.
Foster a mindset of well-designed systems and test-driven development. Lead deep-dive code reviews, maintain technical documentation, and mentor engineers.
Set company-wide standards for observability, schema evolution, and deployment patterns within a cloud-native environment.

5 plus years of software engineering experience with a primary focus on distributed systems and high-concurrency environments.
Expert-level proficiency in Java or Kotlin, Spring Boot, and modern API design (REST, gRPC, and Protobuf).
Deep experience with Kafka (or Red Panda/PubSub), including an understanding of internal mechanics, partition strategies, and consumer group rebalancing.
Hands-on experience with Kubernetes, Helm, Terraform, and cloud-native infrastructure.
Proven ability to diagnose bottlenecks in asynchronous messaging and implement complex architectural patterns like idempotency and distributed caching.
Demonstrated ability to influence technical direction without direct authority and guide teams through complex architectural transitions.
B.S., M.S., or PhD in Computer Science or equivalent professional experience.

Senior Software Engineer – Distributed Systems

Key skills