Messaging & Integration Engineer

Messaging & Integration Engineer

Location: Hyderabad

Experience: 3–6 Years

Employment Type: Full-Time

Job Summary

We are seeking a skilled Messaging & Integration Engineer with experience in enterprise messaging, system integration, data processing, and event-driven architectures. The ideal candidate will have hands-on experience with Kafka, IBM MQ, REST APIs, JSON/XML, and enterprise application integration.

The candidate will be responsible for supporting and developing integration solutions across complex enterprise environments and will work with Commercial Off-the-Shelf (COTS) products such as SAS and Archer. The role requires strong troubleshooting capabilities, a willingness to learn new enterprise applications, and familiarity with modern AI-enabled development tools such as GitHub Copilot.

Key Responsibilities

Messaging & Integration

• Design, develop, configure, and support enterprise integration solutions using Kafka, MQ, and related messaging technologies.
• Work with asynchronous messaging and event-driven communication patterns.
• Understand message producers, consumers, queues, topics, partitions, offsets, acknowledgements, and message delivery mechanisms.
• Configure and troubleshoot message flows between enterprise applications.
• Monitor message processing and investigate failed, delayed, or duplicate messages.
• Ensure reliable and secure data exchange between applications and platforms.

Kafka

• Work with Kafka topics, producers, consumers, consumer groups, and partitions.
• Develop and support Kafka-based event-processing solutions.
• Troubleshoot consumer lag, message processing failures, connectivity issues, and configuration problems.
• Understand event ordering, message retention, offsets, and error-handling mechanisms.
• Support integration of enterprise applications using Kafka-based event streams.

IBM MQ / Messaging

• Work with IBM MQ or similar enterprise messaging platforms.
• Support queues, queue managers, channels, and message flows.
• Troubleshoot message delivery and connectivity issues.
• Analyze message payloads and identify data or routing problems.
• Coordinate with middleware and application teams to resolve messaging issues.

API & System Integration

• Develop, consume, configure, and support REST APIs.
• Work with API request and response structures.
• Handle JSON and XML payloads.
• Troubleshoot HTTP/API errors and integration failures.
• Understand HTTP methods, status codes, headers, authentication, and error handling.
• Perform API testing using tools such as Postman or equivalent.
• Integrate APIs with messaging platforms, databases, and enterprise applications.
• Analyze end-to-end integration flows across multiple systems.

Data Processing

• Understand data processing and transformation requirements across enterprise applications.
• Analyze source and target data to identify discrepancies.
• Support data mapping, transformation, validation, and routing.
• Troubleshoot data processing failures and integration issues.
• Ensure accurate and reliable movement of data between upstream and downstream systems.
• Work with structured formats such as JSON and XML.

Event-Driven Architecture

• Understand fundamental concepts of event-driven architecture and distributed systems.
• Design and support asynchronous, loosely coupled application integrations.
• Understand event producers, consumers, event streams, and message-based communication.
• Participate in designing scalable and reliable integration patterns.
• Identify appropriate messaging and integration approaches based on application requirements.

Enterprise Application & COTS Product Support

• Learn and support enterprise applications and Commercial Off-the-Shelf (COTS) products.
• Gain functional and technical understanding of products such as:
• SAS
• Archer
• Other enterprise risk, analytics, compliance, or business applications
• Understand application dependencies, integration points, interfaces, and data flows.
• Support configuration, troubleshooting, testing, and integration activities.
• Work closely with product vendors and internal application teams when required.
• Adapt quickly to new technologies and enterprise platforms.

Application Support & Troubleshooting

• Provide technical support for enterprise applications and integration components.
• Monitor application and integration health.
• Analyze application logs, messaging logs, API responses, and error messages.
• Perform root cause analysis for production issues.
• Troubleshoot connectivity, configuration, data, messaging, and API-related problems.
• Participate in incident, problem, and change management processes.
• Support production deployments and post-deployment validation.
• Ensure issues are resolved within defined SLAs.

AI-Enabled Development

• Use AI-enabled development tools such as GitHub Copilot to improve productivity.
• Leverage AI-assisted tools for:
• Code development
• Code optimization
• Debugging
• Documentation
• Test case generation
• Troubleshooting
• Follow organizational security and governance guidelines when using AI-assisted development tools.
• Stay updated with emerging AI-enabled software development practices.

Development & Automation

• Develop scripts or application components to automate repetitive integration and operational activities.
• Exposure to Java, Python, or other programming/scripting languages is preferred.
• Use Git or other source-control systems for managing application and integration code.
• Participate in code reviews and follow enterprise coding standards.
• Support automation of testing, deployment, monitoring, and operational processes.

Testing & Deployment

• Develop and execute unit and integration test cases for messaging and API-based integrations.
• Validate message flows and API responses.
• Perform end-to-end integration testing across upstream and downstream systems.
• Support deployment activities across development, QA, UAT, and production environments.
• Troubleshoot deployment and configuration issues.
• Validate integrations following application releases or infrastructure changes.

Required Skills & Qualifications

Must-Have Skills

• 3–6 years of relevant IT experience in integration, middleware, application development, or enterprise application support.
• Hands-on experience with Kafka and/or MQ.
• Strong understanding of messaging and integration technologies.
• Understanding of data processing and system integration.
• Good knowledge of event-driven architectures.
• Experience working with REST APIs.
• Strong understanding of JSON and XML.
• Good troubleshooting and analytical skills.
• Familiarity with GitHub Copilot or similar AI-enabled development tools.
• Ability and willingness to learn and support enterprise applications and COTS products.

Good-to-Have Skills

• Experience with SAS or Archer.
• Experience with IBM MQ.
• Experience with Kafka administration or development.
• Knowledge of Java or Python.
• Experience with API gateways or integration platforms.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker/Kubernetes.
• Exposure to CI/CD tools such as Jenkins, GitHub Actions, or similar.
• Experience with application monitoring and observability tools.
• Experience working in Banking, Financial Services, Insurance, or other regulated industries.

Candidate Profile

The ideal candidate should be:

• Strong in enterprise application integration and messaging concepts.
• Comfortable working with Kafka, MQ, REST, JSON/XML, and event-driven systems.
• Capable of troubleshooting complex integration and production issues.
• Comfortable learning unfamiliar enterprise applications and COTS products.
• Able to understand application architecture and end-to-end data flows.
• Interested in adopting modern AI-assisted development practices.
• A strong communicator who can collaborate effectively with developers, architects, infrastructure teams, business users, and vendors.
• Comfortable working in a fast-paced enterprise environment with multiple applications and dependencies.