Staff Engineer ( Full Stack )
Core
Architecting, building, and scaling the core features and capabilities of a Kubernetes-native Data observability product.
Role type
Staff Full Stack Engineer (Backend-heavy)
Builds
A reliable and scalable platform for data teams to manage products, ensure data quality, and control costs.
Domain
Data Observability / Cloud-Native Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Java, Spring Boot, Distributed systems design, Microservices architecture, Concurrency and asynchronous processing, Apache Spark, PostgreSQL/MySQL, Redis, API design, Scalability, Performance optimization, JavaScript, React
Preferred skills
Kubernetes, Big Data Systems, Hadoop components
Technologies
Java, Spring Boot, Apache Kafka, Apache Spark, PostgreSQL, MySQL, Redis, JavaScript, React, Kubernetes, AWS
Responsibilities
Architect, design, and build scalable distributed systems; Lead system design and architecture decisions across services, APIs, and data layers; Build and optimize high-throughput, low-latency microservices; Design and implement event-driven architectures; Develop and optimize data processing pipelines; Ensure system reliability through fault tolerance, retries, and circuit breakers; Optimize performance across CPU, memory, I/O, and database queries; Drive code quality, design reviews, and engineering best practices; Mentor engineers and provide technical leadership.
Seniority
Staff, hands-on IC with technical leadership
