5 Messaging Protocols Jobs

Key Responsibilities: System Scaling Performance Optimization: Design and implement solutions to scale microservices to handle thousands of requests per second. Optimize system performance by identifying and mitigating bottlenecks in API calls, database queries, and inter-service communication (e.g., MQTT, REST/HTTP2). Fine-tune Kubernetes deployments for resource optimization, autoscaling, and load balancing. Database Management Optimization: SQL Databases: Optimize performance by tuning SQL queries, creating and managing indexes, partitioning data, and optimizing schema design. Redis: Manage and optimize Redis for high-performance caching and in-memory data storage, implementing strategies like data eviction, sharding, and replication. Implement database replication, sharding, and failover strategies to ensure high availability and scalability. Work on performance tuning of read/write operations and improve database query performance by reducing latency and eliminating bottlenecks. Set up monitoring and alerting on database performance metrics to ensure stability and proactively address potential issues (e.g., slow queries, high memory usage). Architecture Review Improvement: Conduct architecture assessments for microservices and recommend optimizations. Identify areas for improvement in horizontal scaling, fault tolerance, and service resiliency. Monitoring Observability: Set up and enhance performance monitoring tools (e.g., Prometheus, Grafana) for real-time metrics tracking. Build and improve logging and tracing systems to diagnose performance issues across microservices. Capacity Planning Load Testing: Develop and execute strategies for capacity planning and forecasting for future load requirements. Design and implement comprehensive load tests using tools standard tools. Required Skills Qualifications: Technical Skills: Microservices Architecture: Strong experience in optimizing microservices-based applications. Familiarity with API gateways, service discovery, and inter-service communication patterns. Kubernetes Containerization: Deep expertise in Kubernetes (Helm, kubectl, operators, etc.), containerization (Docker), and managing large-scale Kubernetes clusters. Knowledge of Kubernetes autoscaling strategies (HPA, VPA) and load balancing mechanisms. Database Optimization: Hands-on experience with SQL databases (MySQL, PostgreSQL), and in-memory data stores (Redis). Strong knowledge of indexing, query optimization, caching strategies, and replication for performance improvement. Cloud Infrastructure: Experience with container orchestration on private environments. Familiarity with autoscaling, and distributed systems. Messaging Systems: Experience with messaging protocols like MQTT, AMQP, and real-time communication protocols. Performance Monitoring Observability: Proficiency with observability tools like Prometheus, Grafana, Jaeger, or Zipkin for monitoring and tracing. Experience with ELK stack or similar logging tools. Load Testing Benchmarking: Experience in load testing, stress testing, and benchmarking systems using tools such as JMeter, Locust etc. Database administrator with development exp focusing on performance optimization, database optimisation & fine tuning Skills - UDR, HSS (2 to 4 yrs)

Basic qualification: 5 to 7 years of dedicated experience as an MQ Administrator Strong working knowledge of IBM MQ v8.x/v9.x Strong understanding of IBM MQ architecture, clustering, and high-availability setup Proficiency in scripting for automation Solid understanding of messaging protocols(MQTT, AMQP) and formats(JSON, XML) Technical Skills: Install, configure, upgrade, and maintain IBM MQ (WebSphere MQ) on Linux, AIX, and Windows platforms. Administer and manage MQ objects (queues, topics, channels, listeners) Implement and manage MQ security including SSL/TLS, user access control, and auditing Monitor and troubleshoot MQ issues, ensuring high availability and performance Plan and perform MQ version upgrades, patches, and migrations Roles and Responsibilities: Strong analytical and problem-solving skills Excellent communication and documentation abilities Team player with the ability to work independently Experience with MQ security configuration Familiarity with MQ monitoring tools Support MQ clustering, high availability, and disaster recovery configurations Create automation scripts using Shell, Bash, or Python Collaborate with application, DevOps, and infrastructure teams Maintain technical documentation and compliance standards Participate in incident response and on-call support rotations

Basic qualification: 3 to 7 years of dedicated experience as an MQ Administrator Strong working knowledge of IBM MQ v8.x/v9.x Strong understanding of IBM MQ architecture, clustering, and high-availability setup Proficiency in scripting for automation Solid understanding of messaging protocols(MQTT, AMQP) and formats(JSON, XML) Technical Skills: Install, configure, upgrade, and maintain IBM MQ (WebSphere MQ) on Linux, AIX, and Windows platforms. Administer and manage MQ objects (queues, topics, channels, listeners) Implement and manage MQ security including SSL/TLS, user access control, and auditing Monitor and troubleshoot MQ issues, ensuring high availability and performance Plan and perform MQ version upgrades, patches, and migrations Roles and Responsibilities: Minimum 3 to 5 years related experience as IBM MQ Administrator for distributed platforms. Must be familiar with Linux and MQ commands plus must have depth knowledge of MQ filesystems. Candidate must keep or improve stability and reliability of MQ environments and proactively react to grow/risks/issues. Keep the MQ current version maintain the most possible uptime. Must engineer, build, deploy and manage large scale enterprise solutions for our messaging environment. Experience with architecture, installing MQ on distributing platforms, patching, upgrading, configuring, and administering queue mangers and define MQ objects, triggering, and basic distributing messaging, creating different Queue Manager including Alias/Local/Remote, Cluster Queue Manager and configuring MQ Client. Understanding of IBM MQ recovery, restart activities and events for monitoring. Familiar with different MQ utilities including the dead-letter queue utility and problem determination. Consults with end users, leadership, vendors, and technicians to assess system and non-functional requirements. Proficient in IBM MQ version 9.0 Understanding the concepts of Queues, Queue Managers & MQ messages Understand and differentiate between an IBM MQ queue manager and IBM MQ client. Understand to determine the cause of undelivered messages using a reliable methodology and to troubleshoot common problems. Understanding on how to create and change queues and place and retrieve messages from a queue. Knowledge of how to define channel authentication and connection authentication records. In-depth knowledge of IBM MQ concepts, including message queues, topics and channels Experience with MQ administration tools & commands, IBM MQ Security Knowledge of monitoring and alerting, and use of performance monitoring tools Proficiency in troubleshooting and problem-solving techniques for messaging systems Experience working with MQ developer tools and APIs Working knowledge of operating systems like Linux/Unix Knowledge of TIBCO and Kafka preferred

Job Summary This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities: .NET 8, Xamarin Android, MAUI, Web API and Messaging Protocols, SQLite, Visual Studio Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Qualifications: Bachelors Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

Key Responsibilities: System Scaling Performance Optimization: Design and implement solutions to scale microservices to handle thousands of requests per second. Optimize system performance by identifying and mitigating bottlenecks in API calls, database queries, and inter-service communication (e.g., MQTT, REST/HTTP2). Fine-tune Kubernetes deployments for resource optimization, autoscaling, and load balancing. Database Management Optimization: SQL Databases: Optimize performance by tuning SQL queries, creating and managing indexes, partitioning data, and optimizing schema design. Redis: Manage and optimize Redis for high-performance caching and in-memory data storage, implementing strategies like data eviction, sharding, and replication. Implement database replication, sharding, and failover strategies to ensure high availability and scalability. Work on performance tuning of read/write operations and improve database query performance by reducing latency and eliminating bottlenecks. Set up monitoring and alerting on database performance metrics to ensure stability and proactively address potential issues (e.g., slow queries, high memory usage). Architecture Review Improvement: Conduct architecture assessments for microservices and recommend optimizations. Identify areas for improvement in horizontal scaling, fault tolerance, and service resiliency. Monitoring Observability: Set up and enhance performance monitoring tools (e.g., Prometheus, Grafana) for real-time metrics tracking. Build and improve logging and tracing systems to diagnose performance issues across microservices. Capacity Planning Load Testing: Develop and execute strategies for capacity planning and forecasting for future load requirements. Design and implement comprehensive load tests using tools standard tools. Required Skills Qualifications: Technical Skills: Microservices Architecture: Strong experience in optimizing microservices-based applications. Familiarity with API gateways, service discovery, and inter-service communication patterns. Kubernetes Containerization: Deep expertise in Kubernetes (Helm, kubectl, operators, etc.), containerization (Docker), and managing large-scale Kubernetes clusters. Knowledge of Kubernetes autoscaling strategies (HPA, VPA) and load balancing mechanisms. Database Optimization: Hands-on experience with SQL databases (MySQL, PostgreSQL), and in-memory data stores (Redis). Strong knowledge of indexing, query optimization, caching strategies, and replication for performance improvement. Cloud Infrastructure: Experience with container orchestration on private environments. Familiarity with autoscaling, and distributed systems. Messaging Systems: Experience with messaging protocols like MQTT, AMQP, and real-time communication protocols. Performance Monitoring Observability: Proficiency with observability tools like Prometheus, Grafana, Jaeger, or Zipkin for monitoring and tracing. Experience with ELK stack or similar logging tools. Load Testing Benchmarking: Experience in load testing, stress testing, and benchmarking systems using tools such as JMeter, Locust etc. Database administrator with development exp focusing on performance optimization, database optimisation & fine tuning Skills - UDR, HSS (2 to 4 yrs)