Job Description

Overview:

As a Senior Software Engineer, you will design, build, and maintain scalable backend and distributed systems that power real-time and data-intensive applications. You will have the autonomy to use your expertise in

Java, Scala,

or

Python

--crafting robust microservices, APIs, and integrating event-driven and streaming solutions. This role blends hands-on engineering with architectural responsibility, and offers opportunities to shape our evolving tech stack across batch and streaming environments.
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.

3-5 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.