Lead Software Engineering- JAVA , Apache Flink/ Apache Beam

Trivandrum, Bengaluru · Hybrid Full-time 5-7 years Any Graduate Direct Client hiring Posted 3 months ago💰 Not disclosed

Must Have Skills

Apache Flink/Apache BeamJavaApache KafkaRest APIAWS/AzureAzure/GCPApache FlinkApache BeamEvent TimeProcessing TimeWindowingStateful Stream ProcessingCheckpointingDistributed SystemsMicroservices ArchitectureREST APIsAvroJSONProtobufGitMavenGradleCI/CD pipelinesAWSAzureGCPMonitoring and Logging ToolsCI/CD

Preferred Skills

About the Opportunity

We are hiring for a leading global digital transformation and technology services organization that partners with Fortune 500 enterprises to build scalable, cloud-native, and data-driven platforms. This role offers the opportunity to work on high-volume real-time data processing systems, modern distributed architectures, and enterprise-grade streaming applications.

Key Responsibilities

Design, develop, and maintain scalable real-time stream processing applications using Apache Flink and/or Apache Beam
Build high-performance backend services using Java 8+
Develop and optimize streaming data pipelines for large-scale distributed environments
Work with event-driven architectures and messaging platforms like Apache Kafka
Implement microservices-based solutions with strong focus on scalability and resiliency
Develop and integrate RESTful APIs
Work with serialization formats such as Avro, JSON, and Protobuf
Collaborate with DevOps teams for CI/CD automation and deployment processes
Deploy and manage applications on cloud platforms such as AWS, Azure, or GCP
Monitor applications using logging and monitoring tools to ensure performance and reliability
Participate in code reviews, architecture discussions, and technical mentoring

Required Skills

Strong hands-on experience in Java (Java 8 or above)
Experience with Apache Flink and/or Apache Beam
Solid understanding of:
Event Time
Processing Time
Windowing
Stateful Stream Processing
Checkpointing
Experience with Apache Kafka or similar messaging systems
Good understanding of distributed systems and microservices architecture
Hands-on experience with REST APIs
Knowledge of Avro, JSON, and Protobuf
Familiarity with:
Git
Maven/Gradle
CI/CD pipelines
Experience with cloud platforms:
AWS
Azure
GCP
Exposure to monitoring and logging tools

Preferred Qualifications

Experience working in enterprise-scale streaming platforms
Strong debugging and performance optimization skills
Exposure to containerized environments and orchestration tools is an added advantage
Excellent communication and collaboration skills

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Do you have at least 5 years of professional experience in software engineering, specifically with Java (version 8 or above)?Optional

Have you designed and developed real-time stream processing applications using Apache Flink or Apache Beam?Optional

Can you describe your experience with Apache Kafka or similar messaging systems in building event-driven architectures?Optional

Which cloud platforms (AWS, Azure, or GCP) have you used for deploying and managing applications, and what was your primary role in those deployments?Optional

Explain your understanding of 'Event Time' versus 'Processing Time' and 'Windowing' in the context of stream processing.Optional

Describe a challenging problem you solved related to stateful stream processing or checkpointing in a distributed system.Optional

What is your experience with microservices architecture and REST APIs, particularly in building scalable and resilient backend services?Optional

Are you familiar with serialization formats such as Avro, JSON, and Protobuf? If so, where have you used them?Optional

What is your current notice period with your employer?Optional