Lead Engineer (Java Fullstack)

Prodapt Solutions

6 - 11 years

11 - 16 Lacs

chennai

Posted:4 hours ago| Platform:

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Skills Required

scala java events python akka kubernetes continuous integration docker containerization aws kinesis postgresql stream processing spark mysql azure event hub rest google data engineering apache flink grpc nosql spring boot django kafka aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

Overview

Java, Scala,

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

Bachelors 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.

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