Software Engineer - Flink

Overview

Design, develop and improve software that provides business, platform and technology capabilities for customers and colleagues, with a focus on real-time stateful stream processing using Apache Flink.

What you'll do

• Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks and tools.
• Ensure code is scalable, maintainable and optimized for performance.
• Collaborate cross-functionally with product managers, designers and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaborate with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities.
• Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implement effective unit testing practices to ensure proper code design, readability and reliability.
• Design, develop and operate real-time, stateful event processing pipelines using Apache Flink, delivering high-throughput stream processing with strong guarantees around reliability, scalability and operational resilience.
• Develop and integrate streaming and microservices-based applications using Java and Spring Boot, ensuring clean API contracts, strong domain modelling and adherence to engineering best practices.
• Engineer end-to-end streaming pipelines by integrating Kafka, Redis and MongoDB, enabling low-latency data access, caching and durable state persistence across distributed systems.
• Implement stateful stream processing using keyed and operator state, ensuring correct handling of large-scale state, efficient serialization and optimal memory management.
• Configure and manage checkpointing and savepoints in Apache Flink to achieve exactly-once processing guarantees, supporting reliable recovery and zero-data-loss deployments.
• Develop Flink jobs with strong understanding of event-time semantics, including watermarks, late event handling and windowing strategies (tumbling, sliding, session windows).
• Optimize Flink pipelines for high throughput and low latency, tuning parallelism, task slots, state backends (e.g., RocksDB) and back-pressure handling.
• Integrate Apache Flink with Kafka as source and sink, ensuring efficient offset management, schema evolution compatibility and reliable end-to-end processing semantics.
• Apply best practices for fault tolerance and resiliency, handling task failures, job restarts and state recovery in distributed Flink clusters.
• Support observability of Flink jobs, enabling visibility into job health, throughput, lag, checkpoint performance and failure patterns through logs, metrics and dashboards.
• Deliver software using Agile methodologies, actively participating in sprint planning, reviews, retrospectives and continuous improvement.
• Champion engineering discipline, automation and data-driven decision making across delivery cycles.
• Drive a test-first, quality-driven engineering culture, embedding test coverage and automation into CI/CD pipelines.
• Operate as a hands-on Individual Contributor, owning the end-to-end development and operational quality of Apache Flink pipelines with minimal supervision.
• Apply strong analytical and troubleshooting skills to diagnose and resolve complex issues in distributed, event-driven systems.
• Collaborate closely with cross-functional teams (engineering, DevOps, security, architecture) to deliver integrated, enterprise-ready solutions.

What you'll need

• Experience designing, developing and operating real-time, stateful event processing pipelines using Apache Flink.
• Experience developing and integrating streaming and microservices-based applications using Java and Spring Boot.
• Experience integrating Kafka, Redis and MongoDB in streaming pipelines.
• Experience implementing stateful stream processing using keyed and operator state.
• Experience configuring and managing checkpointing and savepoints in Apache Flink to achieve exactly-once processing guarantees.
• Experience developing Flink jobs with understanding of event-time semantics, watermarks, late event handling and windowing strategies.
• Experience optimizing Flink pipelines for high throughput and low latency, including tuning parallelism, task slots, state backends (e.g., RocksDB) and back-pressure handling.
• Experience integrating Apache Flink with Kafka as source and sink, including offset management and schema evolution compatibility.
• Experience applying fault tolerance and resiliency practices in distributed Flink clusters.
• Experience supporting observability of Flink jobs through logs, metrics and dashboards.
• Experience delivering software using Agile methodologies.
• Strong familiarity with modern developer tooling including GitLab, DevSecOps pipelines and secure CI/CD practices.
• Hands-on experience with Docker Desktop, IntelliJ IDEA or equivalent enterprise IDEs, and secure source control, branching strategies and automated quality gates.
• Hands-on experience with contract testing (PACT), unit testing (JUnit) and integration testing, performance and load testing (JMeter), and mutation testing.
• Working knowledge of AWS services relevant to event-driven and streaming workloads.
• Experience deploying and operating workloads on Kubernetes (K8s), including container orchestration and scaling concepts.
• Strong awareness and practical adoption of AI-assisted engineering practices with AI coding assistants (e.g., Claude Code, GitLab Duo, Copilot or equivalent).
• Mandatory: Experience working within Agile/Scrum delivery models using Jira for backlog management, delivery tracking and sprint execution.
• Mandatory: Excellent verbal and written communication, producing clear architecture designs, decision records and technical documentation.
• Mandatory: Strong ownership, self-drive and innovation mindset, staying current with cloud-native technologies and modern engineering best practices.

Nice to have

• 7 to 12 years of hands-on software engineering experience, with sustained delivery at scale across complex, distributed systems.
• Bachelor's degree in Computer Science, Information Technology, or related field.

Details

• Based out of Bangalore.