23 Kafka Messaging Jobs

About the Role Launched in 2017, Oracle Banking Payments continues to evolve with an ambitious roadmap covering both functional enhancements and modern technology stacks. This is a unique opportunity to join a high-impact development team working on a globally recognized, mission-critical banking product. Role: Senior Software Architect Oracle Banking Payments Responsibilities: As a Senior Software Architect, you will: Translate business requirements into scalable, maintainable technical designs and code. Develop and maintain components using Java, Spring, and microservices frameworks. Diagnose and resolve technical issues across environments. Lead initiatives to identify and fix application security vulnerabilities. Deliver high-quality code with minimal production issues. Guide and mentor junior developers, fostering a culture of technical excellence. Navigate ambiguity and drive clarity in fast-paced Agile environments. Communicate clearly and proactively with cross-functional teams. Mandatory Skills: Expertise in Java, Java Microservices, Spring Framework, EclipseLink, JMS, JSON/XML, RESTful APIs. Experience developing cloud-native applications. Familiarity with Docker, Kubernetes, or similar containerization tools. Practical knowledge of at least one major cloud platform (AWS, Azure, Google Cloud). Understanding of monitoring tools (e.g., Prometheus, Grafana). Experience with Kafka or other message brokers in event-driven architectures. Proficient in CI/CD pipelines using Jenkins, GitLab CI, etc. Strong SQL skills with Oracle databases. Hands-on debugging and performance tuning experience. Nice to Have: Experience with Oracle Cloud Infrastructure (OCI). Domain knowledge of the payments industry and processing flows. What Were Looking For: The ideal candidate is: A passionate coder with a deep understanding of Java and modern application design. Curious, resourceful, and persistent in solving problems using various approaches—from research and experimentation to creative thinking. A proactive mentor and team contributor with a strong sense of accountability. Adaptable to evolving technology landscapes and fast-paced environments. Self-Test Questions – Ask Yourself Before Applying: 1. Have I built or maintained enterprise-grade applications using Java and Spring Microservices? 2. Can I explain how I've implemented cloud-native solutions using AWS, Azure, or Google Cloud? 3. Have I worked in Agile teams for at least three years, contributing actively in sprints? 4. Am I comfortable troubleshooting production issues, using tools like Prometheus, Grafana, and log aggregators? 5. Have I designed or debugged RESTful APIs and worked with JSON/XML extensively? 6. Do I have experience integrating applications with message brokers such as Kafka? 7. Have I mentored junior developers or acted as a tech lead on projects? Do I genuinely enjoy solving complex problems and exploring multiple approaches to arrive at the

S&P Dow Jones Indices is seeking a Python/Bigdata developer to be a key player in the implementation and support of data Platforms for S&P Dow Jones Indices. This role requires a seasoned technologist who contributes to application development and maintenance. The candidate should actively evaluate new products and technologies to build solutions that streamline business operations. The candidate must be delivery-focused with solid financial applications experience. The candidate will assist in day-to-day support and operations functions, design, development, and unit testing. Responsibilities and Impact: Lead the design and implementation of EMR Spark workloads using Python, including data access from relational databases and cloud storage technologies. Implement new powerful functionalities using Python, Pyspark, AWS and Delta Lake. Independently come up with optimal designs for the business use cases and implement the same using big data technologies. Enhance existing functionalities in Oracle/Postgres procedures, functions. Performance tuning of existing Spark jobs. Respond to technical queries from operations and product management team. Implement new functionalities in Python, Spark, Hive. Enhance existing functionalities in Postgres procedures, functions. Collaborate with cross-functional teams to support data-driven initiatives. Mentor junior team members and promote best practices. Respond to technical queries from the operations and product management team. What Were Looking For: Basic Required Qualifications: Bachelors degree in computer science, Information Systems, or Engineering, or equivalent work experience. 5 - 8 years of IT experience in application support or development. Hands on development experience on writing effective and scalable Python programs. Deep understanding of OOP concepts and development models in Python. Knowledge of popular Python libraries/ORM libraries and frameworks. Exposure to unit testing frameworks like Pytest. Good understanding of spark architecture as the system involves data intensive operations. Good amount of work experience in spark performance tuning. Experience/exposure in Kafka messaging platform. Experience in Build technology like Maven, Pybuilder. Exposure with AWS offerings such as EC2, RDS, EMR, lambda, S3,Redis. Hands on experience in at least one relational database (Oracle, Sybase, SQL Server, PostgreSQL). Hands on experience in SQL queries and writing stored procedures, functions. A strong willingness to learn new technologies. Excellent communication skills, with strong verbal and writing proficiencies. Additional Preferred Qualifications: Proficiency in building data analytics solutions on AWS Cloud. Experience with microservice and serverless architecture implementation.

Kafka/MSK Linux In-depth understanding of Kafka broker configurations, zookeepers, and connectors Understand Kafka topic design and creation. Good knowledge in replication and high availability for Kafka system ElasticSearch/OpenSearch

Proficient in Java 8 , Kafka Must have Experience with Junit Test Case Good on Spring boot, Microservices, SQL , ActiveMQ & Restful API

We are seeking a talented and experienced Kafka Architect with migration experience to Google Cloud Platform (GCP) to join our team. As a Kafka Architect, you will be responsible for designing, implementing, and managing our Kafka infrastructure to support our data processing and messaging needs, while also leading the migration of our Kafka ecosystem to GCP. You will work closely with our engineering and data teams to ensure seamless integration and optimal performance of Kafka on GCP. Responsibilities: Discovery, analysis, planning, design, and implementation of Kafka deployments on GKE, with a specific focus on migrating Kafka from AWS to GCP. Design, architect and implement scalable, high-performance Kafka architectures and clusters to meet our data processing and messaging requirements. Lead the migration of our Kafka infrastructure from on-premises or other cloud platforms to Google Cloud Platform (GCP). Conduct thorough discovery and analysis of existing Kafka deployments on AWS. Develop and implement best practices for Kafka deployment, configuration, and monitoring on GCP. Develop a comprehensive migration strategy for moving Kafka from AWS to GCP. Collaborate with engineering and data teams to integrate Kafka into our existing systems and applications on GCP. Optimize Kafka performance and scalability on GCP to handle large volumes of data and high throughput. Plan and execute the migration, ensuring minimal downtime and data integrity. Test and validate the migrated Kafka environment to ensure it meets performance and reliability standards. Ensure Kafka security on GCP by implementing authentication, authorization, and encryption mechanisms. Troubleshoot and resolve issues related to Kafka infrastructure and applications on GCP. Ensure seamless data flow between Kafka and other data sources/sinks. Implement monitoring and alerting mechanisms to ensure the health and performance of Kafka clusters. Stay up to date with Kafka developments and GCP services to recommend and implement new features and improvements. Requirements: Bachelors degree in computer science, Engineering, or related field (Masters degree preferred). Proven experience as a Kafka Architect or similar role, with a minimum of [5] years of experience. Deep knowledge of Kafka internals and ecosystem, including Kafka Connect, Kafka Streams, and KSQL. In-depth knowledge of Apache Kafka architecture, internals, and ecosystem components. Proficiency in scripting and automation for Kafka management and migration. Hands-on experience with Kafka administration, including cluster setup, configuration, and tuning. Proficiency in Kafka APIs, including Producer, Consumer, Streams, and Connect. Strong programming skills in Java, Scala, or Python. Experience with Kafka monitoring and management tools such as Confluent Control Center, Kafka Manager, or similar. Solid understanding of distributed systems, data pipelines, and stream processing. Experience leading migration projects to Google Cloud Platform (GCP), including migrating Kafka workloads. Familiarity with GCP services such as Google Kubernetes Engine (GKE), Google Cloud Storage, Google Cloud Pub/Sub, and Big Query. Excellent communication and collaboration skills. Ability to work independently and manage multiple tasks in a fast-paced environment.

Skillsoft is the global leader in eLearning. Trusted by the world's leading organizations, including 65% of the Fortune 500. Our 100,000+ courses, videos and books are accessed over 100 million times every month, across more than 100 countries. At Skillsoft, we believe knowledge is the fuel for innovation and innovation is the fuel for business growth. Join us in our quest to democratize learning and help individuals unleash their edge. Are you ready to shape the future of learning through cutting-edge AI? As a Principal AI/Machine Learning Engineer at Skillsoft, you’ll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you’ll collaborate with multiple teams to transform knowledge into a catalyst for growth—unleashing your edge while helping others do the same. Join us in redefining eLearning for the world’s leading organizations! Responsibilities: Hands-on AI/ML software engineer Prompt engineering, agentic workflow development and testing Work with product owners to understand requirements and guide new features Collaborate to identify new feature impacts Evaluate new AI/ML technology advancements and socialize finding Research, prototype, and select appropriate COTS and develop in-house AI/ML technology Consult with external partners to review and guide development and integration of AI technology Collaborate with teams to design, and guide AI development, and enhancements Document designs and implementation to ensure consistency and alignment with standards Create documentation including system and sequence diagrams Create appropriate data pipelines for AI/ML training and inference Analyze, curate, cleanse, and preprocess data Utilize and apply generative AI to increase productivity for yourself and the organization Periodically explore new technologies and design patterns with proof-of-concept Participate in developing best practices and improving operational processes Present research and work to socialize and share knowledge across the organization Contribute to patentable AI innovations Environment, Tools & Technologies: Agile/Scrum Operating Systems – Mac, Linux JavaScript, Node.js, Python PyTorch, Tensorflow, Keras, OpenAI, Anthropic, and friends Langchain, Langgraph, etc. APIs GraphQL, REST Docker, Kubernetes Amazon Web Services (AWS), MS Azure SQL: Postgres RDS NoSQL: Cassandra, Elasticsearch (VectorDb) Messaging – Kafka, RabbitMQ, SQS Monitoring – Prometheus, ELK GitHub, IDE (your choice) Skills & Qualifications: (8+ years experience) Experience with LLMs and fine-tuning models Development experience including unit testing Design and documentation experience of new APIs, data models, service interactions Familiarity with and ability to explain: o system and API security techniques o data privacy concerns o microservices architecture o vertical vs horizontal scaling o Generative AI, NLP, DNN, auto-encoders, etc. Attributes for Success: Proactive, Independent, Adaptable Collaborative team player Customer service minded with an ownership mindset Excellent analytic and communication skills Ability and desire to coach and mentor other developers Passionate, curious, open to new ideas, and ability to research and learn new technologies

Skillsoft is the global leader in eLearning. Trusted by the world's leading organizations, including 65% of the Fortune 500. Our 100,000+ courses, videos and books are accessed over 100 million times every month, across more than 100 countries. At Skillsoft, we believe knowledge is the fuel for innovation and innovation is the fuel for business growth. Join us in our quest to democratize learning and help individuals unleash their edge. Are you ready to shape the future of learning through cutting-edge AI? As a Principal AI/Machine Learning Engineer at Skillsoft, you’ll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you’ll collaborate with multiple teams to transform knowledge into a catalyst for growth—unleashing your edge while helping others do the same. Join us in redefining eLearning for the world’s leading organizations! Responsibilities: Hands-on AI/ML software engineer Prompt engineering, agentic workflow development and testing Work with product owners to understand requirements and guide new features Collaborate to identify new feature impacts Evaluate new AI/ML technology advancements and socialize finding Research, prototype, and select appropriate COTS and develop in-house AI/ML technology Consult with external partners to review and guide development and integration of AI technology Collaborate with teams to design, and guide AI development, and enhancements Document designs and implementation to ensure consistency and alignment with standards Create documentation including system and sequence diagrams Create appropriate data pipelines for AI/ML training and inference Analyze, curate, cleanse, and preprocess data Utilize and apply generative AI to increase productivity for yourself and the organization Periodically explore new technologies and design patterns with proof-of-concept Participate in developing best practices and improving operational processes Present research and work to socialize and share knowledge across the organization Contribute to patentable AI innovations Environment, Tools & Technologies: Agile/Scrum Operating Systems – Mac, Linux JavaScript, Node.js, Python PyTorch, Tensorflow, Keras, OpenAI, Anthropic, and friends Langchain, Langgraph, etc. APIs GraphQL, REST Docker, Kubernetes Amazon Web Services (AWS), MS Azure SQL: Postgres RDS NoSQL: Cassandra, Elasticsearch (VectorDb) Messaging – Kafka, RabbitMQ, SQS Monitoring – Prometheus, ELK GitHub, IDE (your choice) Skills & Qualifications: (8+ years experience) Experience with LLMs and fine-tuning models Development experience including unit testing Design and documentation experience of new APIs, data models, service interactions Familiarity with and ability to explain: o system and API security techniques o data privacy concerns o microservices architecture o vertical vs horizontal scaling o Generative AI, NLP, DNN, auto-encoders, etc. Attributes for Success: Proactive, Independent, Adaptable Collaborative team player Customer service minded with an ownership mindset Excellent analytic and communication skills Ability and desire to coach and mentor other developers Passionate, curious, open to new ideas, and ability to research and learn new technologies

Role & responsibilities Administer and maintain Apache Kafka clusters , including installation, upgrades, configuration, and performance tuning. Design and implement Kafka topics, partitions, replication , and consumer groups. Ensure high availability and scalability of Kafka infrastructure in production environments. Monitor Kafka health and performance using tools like Prometheus, Grafana, Confluent Control Center , etc. Implement and manage security configurations such as SSL/TLS, authentication (Kerberos/SASL), and access control. Collaborate with development teams to design and configure Kafka-based integrations and data pipelines . Perform root cause analysis of production issues and ensure timely resolution. Create and maintain documentation for Kafka infrastructure and configurations. Required Skills: Strong expertise in Kafka administration , including hands-on experience with open-source and/or Confluent Kafka . Experience with Kafka ecosystem tools (Kafka Connect, Kafka Streams, Schema Registry). Proficiency in Linux-based environments and scripting (Bash, Python). Experience with monitoring/logging tools and Kafka performance optimization. Ability to work independently and proactively manage Kafka environments. Familiarity with DevOps tools and CI/CD pipelines (e.g., Jenkins, Git, Ansible). Preferred Skills: Experience with cloud platforms (AWS, GCP, or Azure) Kafka services. Knowledge of messaging alternatives like RabbitMQ, Pulsar, or ActiveMQ . Working knowledge of Docker and Kubernetes for Kafka deployment.

As a Software Engineer, you will be responsible for designing, developing, and maintaining cloud-native applications and platforms. You will work on cloud security, microservices, container orchestration, and API-driven architectures while implementing best practices in software design and system scalability. You have: Bachelor's or Masters degree in Electronics, Computer Science, Electrical Engineering, or a related field with 8+ years of work experience. Experience in container orchestration using Kubernetes, Helm, and OpenShift. Experience with API Gateway, Kafka Messaging, and Component Life Cycle Management. Expertise in Linux platform, including Linux Containers, Namespaces, and CGroups. Experience in scripting language Perl/ Python and CI/CD tools Jenkins, Git, Helm, and Ansible. It would be nice if you also had: Familiarity with open-source PaaS environments like OpenShift. Experience with evolutionary architecture and microservices development. You will design and develop software components based on cloud-native principles and leading PaaS platforms. You will Implement scalable, secure, and resilient microservices and cloud-based applications. You will develop APIs and integrate with API gateways, message brokers (Kafka), and containerized environments. You will apply design patterns, domain-driven design (DDD), component-based architecture, and evolutionary architecture principles. You will lead the end-to-end development of features and EPICs, ensuring high performance and scalability. You will define and implement container management strategies, leveraging Kubernetes, OpenShift, and Helm

It's a pleasure speaking with you. Further to our discussion, please find the role details for your reference: Please let us know your interest along with your updated CV and below details to proceed further: Note : Work from Office Java Developer , Spring Boot,Microservices,Kafka,AWS Skill Java Backend Developer (Core Java + Microservices + Spring boot+ AWS +Java/MS/SB+AWS+Kafka should be strong What you will do: • Design components by translating product requirements, break down project into tasks and provide accurate estimates. • Responsible for the analysis, design, development, and delivery of software solutions. • Plan, design, and develop technical solutions and alternatives to meet business requirements in adherence with MasterCard standards, processes, and best practices. • Independently come up with different solutions, extensible low-level design. Write modular, extensible, readable, and performant code. • Choose the right Data Structures, tools and tech stacks and be able to do High Level Designing with guidance. • Research new frameworks and technologies, assist with prototyping and proof-of-concepts, participate in code reviews. • Collaborate with teams by contributing to the shared vision and working closely with cross-functional stakeholders. • You will be responsible for the APIs you (and or your team) build and will support them till the time they are live in production. • Accountable for full systems development life cycle including creating high quality requirements documents, use-cases, design, and other technical artifacts including but not limited to detailed test strategy/test design, performance benchmarking, release rollout and deployment plans, contingency/back-out plans, feasibility study, cost and time analysis and detailed estimates. • Research and evaluate current and upcoming technologies and frameworks. Participate in PoCs (Proof of Concept) and help the Department with selection of Vendor Solutions, Technologies, Methodologies and Frameworks. All About You: • Excellent communication skills with the ability to communicate with all levels of management. • Ability to build rapport and relationships. • A record of successful delivery of software applications as an individual • Problem solver and solution-seeking approach • Knowledgeable possessing the technical knowledge, market knowledge, and other specialized knowledge of the teams problem domain. • Hands on experience in building complex and highly scalable and performing systems. • Solid understanding and hands-on experience in Java, J2EE, Spring, Spring Security, Spring Boot, RESTful web services • Solid understanding and experience integrating web services. • Exposure to building cloud ready applications (microservices) • Exposure to Test Driven Development, Continuous Delivery, and Integration • Must be high-energy, detail-oriented, proactive and can function under pressure in an independent environment. • Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. • Possesses strong communication skills -- both verbal and written and strong relationship, collaborative skills, and organizational skills. • Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team. • Bachelor’s in computer degree (BE/BTech) • 6-10 years of work experience Thanks & Regards, Sateesh Botcha Talent Champion IFIN Global Group m: +91 (0) 7032009838 email: sateesh.b@ifinglobalgroup.com https://www.linkedin.com/in/satish-botcha-99a466225

Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale Java applications using Spring Boot. Collaborate with cross-functional teams to identify requirements and implement solutions. Ensure high availability, scalability, performance, security, and reliability of the application. Participate in code reviews and ensure adherence to coding standards. Troubleshoot complex issues related to application deployment on AWS cloud platform. Desired Candidate Profile 8-13 years of experience in software development with expertise in Java programming language. Bachelor's degree (B.Tech/B.E.) from a reputed institution in Any Specialization. Strong understanding of architecture design patterns such as Microservices Architecture. Proficiency in technologies like AngularJS, Kafka Messaging System, Elastic Search Engine.

Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale Java applications using Spring Boot. Collaborate with cross-functional teams to identify requirements and implement solutions. Ensure high availability, scalability, performance, security, and reliability of the application. Participate in code reviews and ensure adherence to coding standards. Troubleshoot complex issues related to application deployment on AWS cloud platform. Desired Candidate Profile 8-13 years of experience in software development with expertise in Java programming language. Bachelor's degree (B.Tech/B.E.) from a reputed institution in Any Specialization. Strong understanding of architecture design patterns such as Microservices Architecture. Proficiency in technologies like AngularJS, Kafka Messaging System, Elastic Search Engine.

Kafka/MSK Linux In-depth understanding of Kafka broker configurations, zookeepers, and connectors Understand Kafka topic design and creation. Good knowledge in replication and high availability for Kafka system ElasticSearch/OpenSearch

Job Responsibilities Develop, test, and maintain robust and scalable backend applications using Go (Golang). Design and implement RESTful APIs and gRPC services. Work with microservices architecture and containerization using Docker. Optimize application performance and ensure high availability and scalability. Collaborate with frontend developers, DevOps engineers, and other stakeholders. Implement and maintain CI/CD pipelines for seamless deployments. Write clean, maintainable, and well-documented code. Troubleshoot, debug, and upgrade existing applications. Ensure security best practices and code quality standards. Good understanding of concurrency / multi threading patterns memory efficient implementations Go profiling and debugging methods Desired Skills and Experience: Strong experience in Go (Golang) programming. Proficiency in building microservices and APIs. Knowledge of database systems such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with Docker, Kubernetes, and cloud platforms (AWS). Understanding of event-driven architecture and message brokers (Kafka, RabbitMQ, etc.). Familiarity with version control tools like Git. Experience with testing frameworks and best practices in Go. Knowledge of authentication and authorization mechanisms (OAuth, JWT, etc.). Ability to work in an Agile/Scrum environment. Experience in Agile development environment. Web Services Testing/Backend testing: SOAP UI, POSTMAN Build Deployment on Test Environment. Working experience on Unix is a plus

Dear Candidate, We are hiring a Scala Developer to work on scalable data pipelines, distributed systems, and backend services. This role is perfect for candidates passionate about functional programming and big data. Key Responsibilities: Develop data-intensive applications using Scala . Work with frameworks like Akka, Play, or Spark . Design and maintain scalable microservices and ETL jobs. Collaborate with data engineers and platform teams. Write clean, testable, and well-documented code. Required Skills & Qualifications: Strong in Scala, Functional Programming, and JVM internals Experience with Apache Spark, Kafka, or Cassandra Familiar with SBT, Cats, or Scalaz Knowledge of CI/CD, Docker, and cloud deployment tools Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Job Description: Standing up and administer on premise Kafka cluster. Ability to architect and create reference architecture for kafka Implementation standards Provide expertise in Kafka brokers, zookeepers, Kafka connect, schema registry, KSQL, Rest proxy and Kafka Control center. Ensure optimum performance, high availability and stability of solutions. Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices. Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms. Provide administration and operations of the Kafka platform like provisioning, access lists Kerberos and SSL configurations. Use automation tools like provisioning using Docker, Jenkins and GitLab. Ability to perform data related benchmarking, performance analysis and tuning. Strong skills in In-memory applications, Database Design, Data Integration. Involve in design and capacity review meetings to provide suggestion in Kafka usage. Solid knowledge of monitoring tools and fine tuning alerts on Splunk, Prometheus, Grafana ,Splunk. Setting up security on Kafka. Providing naming conventions, Backup & Recovery and problem determination strategies for the projects. Monitor, prevent and troubleshoot security related issues. Provide strategic vision in engineering solutions that touch the messaging queue aspect of the infrastructure QUALIFICATIONS Demonstrated proficiency and experience in design, implementation, monitoring, and troubleshooting Kafka messaging infrastructure. Hands on experience on recovery in Kafka. 2 or more years of experience in developing/customizing messaging related monitoring tools/utilities. Good Scripting knowledge/experience with one or more (ex. Chef, Ansible, Terraform). Good programming knowledge/experience with one or more languages (ex. Java, node.js, python) Considerable experience in implementing Kerberos Security. Support 24*7 Model and be available to support rotational on-call work Competent working in one or more environments highly integrated with an operating system. Experience implementing and administering/managing technical solutions in major, large-scale system implementations. High critical thinking skills to evaluate alternatives and present solutions that are consistent with business objectives and strategy. Ability to manage tasks independently and take ownership of responsibilities Ability to learn from mistakes and apply constructive feedback to improve performance Ability to adapt to a rapidly changing environment. Proven leadership abilities including effective knowledge sharing, conflict resolution, facilitation of open discussions, fairness and displaying appropriate levels of assertiveness. Ability to communicate highly complex technical information clearly and articulately for all levels and audiences. Willingness to learn new technologies/tool and train your peers. Proven track record to automate.

Role & responsibilities Urgent Hiring for one of the reputed MNC for Kafka Developer Exp - 7 - 11 Years Only immediate Joiners Location - Pune , Chennai , Noida Educational Background A degree in Computer Science, IT, or a related field. Kafka Expertise Strong knowledge of Kafka architecture, brokers, producers, consumers, and stream processing. Programming Skills Proficiency in Java, Scala, or Python for developing Kafka-based applications. Big Data & Streaming Technologies Experience with Spark, Flink, or Apache Storm is a plus. Database Knowledge Familiarity with SQL and NoSQL databases like Cassandra, MongoDB, or PostgreSQL. Cloud & DevOps Experience with cloud platforms (AWS, Azure, GCP) and Kubernetes/Docker. Event-Driven Architecture Understanding of event-driven and microservices architectures. Monitoring & Debugging Experience with Kafka monitoring tools like Confluent Control Center, Kafka Manager, or ELK stack. Security & Scalability Knowledge of Kafka security, access control, and scaling strategies. Problem-Solving & Communication Strong analytical skills and ability to work in cross-functional teams Preferred candidate profile Kafka Application Development Data Pipeline Development Producer & Consumer Implementation Integration & Connectivity Performance Optimization Security & Compliance Cluster Administration Monitoring & Logging Documentation Perks and benefits

J2EE ,SpringBoot, RESTful API,RDBMS,CI/CD,SQL,TDD,MQ,KAFKA

J2EE ,SpringBoot, RESTful API,RDBMS,CI/CD,SQL,TDD,MQ,KAFKA

J2EE ,SpringBoot, RESTful API,RDBMS,CI/CD,SQL,TDD,MQ,KAFKA

J2EE ,SpringBoot, RESTful API,RDBMS,CI/CD,SQL,TDD,MQ,KAFKA

How You'll Help Us Connect the World We're looking for engineers to work with the Ruckus Cloud. This project offers exciting opportunities for building innovative services. We are looking for engineers who see the big picture, can span the breadth of the product, jump into the depths of different topics and bring fresh ideas into various areas. The mission of our team is to build the plumbing in the cloud infrastructure that makes the cloud services deployment simple and fast. For the cloud team it also includes aspects of large-scale system design, networking, security, configuration and automatic VM orchestration and many more areas. As a Principal Cloud Engineer, you will be involved with our fast-paced releases. The role requires hands-on development. The role requires a deep understanding of cloud-related technology, management platforms, networking, and Wi-Fi. Required Qualifications for Consideration: Work at multiple layers of the application. Implement the cloud related project duties, providing as-needed hands-on technical support Develop reliable, readable and maintainable code and test cases. Making decisions on cloud platform characteristics, architecture and content Jumping into any and every area of work to help resolve issues Manage your own project priorities, deadlines and work you're doing. Required Soft Skills Understanding the big picture and discerning its high-level details Ability to identify development dependencies Collaborate with team members to design the best solutions. Ability to grasp new, ground breaking technologies, evaluate and test out alternatives Ability to quickly read, understand and explain technical topics to the team as well as senior management In general, the successful candidate needs a clear communicator with the ability to lead programs, identifying risks and clearly communicating inwards as well as upwards. This project involves development centers spanning multiple geographies and time zones You Will Excite Us If You Have: Bachelors degree in computer science or another technical field or equivalent practical experience 13+ years of relevant work experience in leading and technically handling projects Experience writing software, designing APIs, working on projects from cradle to grave, including the aspects of back-office integration Expertise in one or more languages such as Java, Spring boot microservices, deployed as containers in Kubernetes ecosystem. Preferred Qualifications Experience on projects in Cloud computing or Cloud-hosted services Experience in Kubernetes, Kafka, event driven system design. Excellent analytical, problem-solving, organizational, communication and interpersonal skills Technological familiarity with public/private/hybrid cloud, Openstack, GCP Expertise in Linux, KVM, Virtualization, Linux Container Ecosystems, Cloud Architecture, Virtualization, System Engineering, Previous experience with network management systems and their FCAPS related aspects Wifi knowledge would be highly desired Primary Skills :- Java, Spring boot, Microservices, Kafka, PostgreSQL, Redis , Elastic search, GCP or any cloud, Good exposure to SaaS, Kubernetes

1.Java 8 with Lambda expressions 2.Springboot microservices Api development using Webflux (Reactive Mono/Flux) 3.Microsoft Azure services ( AKS, Storage accounts, Virtual Machines) 4.Kafka Messaging services. Mandatory skill: 1.Java 8 with Lambda expressions 2.Springboot microservices Api development using Webflux (Reactive Mono/Flux) 3.Microsoft Azure services ( AKS, Storage accounts, Virtual Machines) 4.Kafka Messaging services