[Hiring] Senior/Staff Backend Engineer @Oscilar

Role Description

We are looking for a Senior/Staff Backend Engineer with deep expertise in backend development. In this role, you will design, implement, and optimize services that leverage Apache Kafka to handle high-throughput, real-time data streams. You will also be responsible for scaling and maintaining databases such as Postgres, Redis, DynamoDB, and ClickHouse, all within a cloud-based AWS infrastructure. This is a senior technical leadership role, where you will collaborate across teams, mentor engineers, and drive the scalability, performance, and reliability of Oscilar’s backend systems.

Responsibilities

• Design, develop, and maintain scalable backend services using Java and AWS technologies.
• Lead the architecture, deployment, and optimization of Apache Kafka to support real-time data streaming across distributed systems.
• Build and manage Kafka topics, brokers, producers, and consumers, ensuring optimal performance and data consistency.
• Implement streaming solutions with Kafka Streams and Kafka Connect, focusing on high availability and low-latency processing.
• Collaborate with product, frontend, and data engineering teams to define technical requirements and deliver reliable, performant services.
• Design and maintain high-performance data storage solutions using Postgres, Redis, ClickHouse, and DynamoDB.
• Optimize database performance through schema design, indexing strategies, and resource partitioning.
• Implement best practices for infrastructure security, performance monitoring, and data integrity.
• Establish and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
• Provide mentorship to junior engineers, conduct code reviews, and promote best practices in software development.
• Proactively identify and resolve performance bottlenecks and technical challenges in both streaming and database systems.

Qualifications

• 8+ years of experience with Java in large-scale, distributed environments.
• Extensive experience with Apache Kafka, including Kafka Streams, Kafka Connect, partitioning, replication, and consumer group management.
• Strong experience with AWS services (e.g., MSK, EC2, RDS, DynamoDB, S3, Lambda).
• Solid understanding of distributed system design, messaging patterns, and eventual consistency.
• Proven ability to diagnose and resolve bottlenecks in streaming and database systems.

Nice-to-have

• Experience integrating Kafka with analytics solutions like ClickHouse.
• Knowledge of event-driven architecture and streaming patterns like CQRS and event sourcing.
• Hands-on experience with monitoring tools (e.g., Prometheus, Grafana, Kafka Manager).
• Experience automating infrastructure with tools like Terraform or CloudFormation.
• Proficiency with Postgres, Redis, ClickHouse, and DynamoDB. Experience with data modeling, query optimization, and high-transaction databases.
• Familiarity with encryption, role-based access control, and secure API development.