Lead Engineer

Overview

Java, Scala,

Python

Responsibilities

• Design, develop, and maintain scalable, production-quality backend microservices and REST/gRPC APIs using your primary language and framework (e.g., Java/Spring Boot, Scala/Akka, Python/FastAPI/Django).
• Architect and support event-driven and real-time data solutions using messaging or streaming platforms such as Apache Kafka, Apache flink, Apache spark structured streaming, Pulsar, Pub/Sub, or similar.
• Collaborate in building and optimizing both streaming and batch data pipelines for reliable, timely data delivery.
• Integrate with, and optimize, relational (PostgreSQL, MySQL) or NoSQL databases, designing schema and high-performance queries.
• Leverage containerization (Docker) and orchestration (Kubernetes) to build and deploy cloud-native, resilient applications.
• Contribute to CI/CD pipelines, infrastructure as code, and cloud-native operational practices.
• Champion secure coding, observability, monitoring, and performance optimization across all services.
• Collaborate closely with product, data, DevOps, and engineering peers in Agile/Scrum cycles.
• Mentor team members, participate in code/design reviews, and foster knowledge sharing.
  

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, or a related technical discipline.
• 6+ years of hands-on software or data engineering experience, including designing and maintaining streaming or real-time data pipelines.
• Strong expertise with distributed streaming platforms such as Kafka, Flink, Spark Structured Streaming, or Pulsar, and their associated tooling.
• Strong programming experience in Java, Scala, or Python for backend and distributed systems; proficiency in one major framework (Spring Boot, Django, FastAPI, Akka, etc.).
• In-depth understanding of event-driven architectures, stateful stream processing, windowing, and exactly-once delivery semantics.
• Experience architecting robust, high-performance systems optimized for latency, throughput, and resilience.
• Familiarity with cloud-based streaming services (AWS Kinesis, Google Pub/Sub, Azure Event Hubs) is a plus.
• Experience working with Docker and Kubernetes for containerization and orchestration is beneficial.
• Excellent collaboration, problem-solving, and communication skills.