Java Full‑Stack Developer (Microservices, Big Data & Spark Batch)

Senior Java Full‑Stack Developer (Microservices, Big Data & Spark Batch) – 10+ Years ExperienceRole OverviewA highly experienced Java Full‑Stack Engineer with deep expertise in Microservices, distributed systems, and Big Data platforms. This role requires hands-on design and development of high‑throughput microservices, Spark-based batch pipelines, and Kafka-driven streaming workflows for large-scale enterprise environments.Key ResponsibilitiesDesign microservices using Java, Spring Boot, Spring Cloud, and cloud-native patterns.Build and optimize REST APIs, event-driven components, and distributed workflows.Develop Spark batch jobs for large-scale data processing, transformations, and aggregations.Implement Kafka streaming pipelines for real-time ingestion and processing.Build full-stack features using React/Angular (or client-specified UI stack).Optimize performance of microservices and data pipelines for low latency and high throughput.Collaborate with DevOps teams to deploy services on AWS/GCP/Azure.Ensure observability, fault tolerance, and reliability across services.Lead code reviews, mentor junior engineers, and enforce engineering best practices.Technical Skills RequiredJava (8/11/17), Collections, Concurrency, MultithreadingSpring Boot, Spring Cloud, REST, MicroservicesSpark (Batch + Structured Streaming)Kafka (topics, partitions, consumer groups, schema registry)Hadoop ecosystem: Hive, HDFS, HBase, Presto (as applicable)Front-end: React / AngularCloud: AWS preferred (EMR, EKS, Lambda, S3, DynamoDB, Fargate)CI/CD: Jenkins, GitHub Actions, Maven/GradleContainers: Docker, KubernetesDatabases: PostgreSQL, MySQL, MongoDB, CassandraMonitoring: Prometheus, Grafana, ELK stackProfessional Experience10+ years of enterprise-grade development experience.Strong experience building Spark batch pipelines for large datasets.Proven ability to design distributed, event-driven microservices.Hands-on experience with Kafka streaming and high-volume ingestion.Solid understanding of system design, scalability, and performance tuning.Experience leading teams, mentoring developers, and driving architectural decisions.