Observability Tools Jobs in Chennai

Principal Java Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Java Expert to join our dynamic team. This is a hybrid role requiring a blend of remote and on-site work. The ideal candidate will possess a deep understanding of Java and related technologies, with a proven ability to design, develop, and deploy robust and scalable applications within an IT / Technology environment. Key Responsibilities The Java Expert will be responsible for a range of tasks including designing and implementing complex Java -based solutions, participating in architectural discussions, and mentoring junior developers. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality code. Required Skills & Qualifications Java : Extensive experience in Java development, including a strong understanding of core Java concepts and best practices. Jakarta EE : Proficiency in utilizing Jakarta EE technologies for building enterprise-grade applications. Domain-Driven Design : Ability to apply Domain-Driven Design principles to create maintainable and scalable software. Cloud-Native Systems : Experience designing and developing Cloud-Native Systems for optimal performance and scalability. Java SE : Solid foundation in Java SE fundamentals. JPA : Proficiency in using JPA for object-relational mapping. CDI : Experience with CDI for dependency injection. EJB : Knowledge of EJB for enterprise Java beans. JAX-RS : Ability to develop RESTful APIs using JAX-RS . Application Servers: Experience with application servers such as WebSphere Liberty , Payara , and WildFly . Microservices Architecture : Deep understanding of Microservices Architecture principles and patterns. Distributed Systems : Experience in designing and implementing Distributed Systems . Cloud Platforms: Experience with cloud platforms including AWS , Azure , and GCP . Containerization: Proficiency in using Docker for containerization. Orchestration: Experience with Kubernetes for container orchestration. Event-Driven Architectures : Ability to design and implement Event-Driven Architectures . Messaging Systems : Experience with Messaging Systems such as Kafka and RabbitMQ . API Design : Strong skills in API Design principles. RESTful : Proficiency in developing RESTful APIs. GraphQL : Knowledge of GraphQL for querying APIs. CI/CD Pipelines : Experience in building and maintaining CI/CD Pipelines . DevOps Practices : Familiarity with DevOps Practices . Version Control: Proficiency in using Git for version control. Automation: Experience with Jenkins for automation. Analytical Skills : Strong Analytical Skills for problem-solving. Problem-solving Skills : Excellent Problem-solving Skills . Debugging Skills : Proficient Debugging Skills . Communication Skills : Effective Communication Skills . Leadership Skills : Demonstrated Leadership Skills . Reactive Frameworks: Experience with reactive frameworks such as Spring WebFlux , Quarkus , and Micronaut . NoSQL Databases : Experience with NoSQL Databases such as MongoDB and Cassandra . In-Memory Data Grids : Knowledge of In-Memory Data Grids such as Hazelcast and Redis . Security Frameworks : Experience with Security Frameworks such as OAuth2 and OpenID Connect . Observability Tools : Familiarity with Observability Tools such as Prometheus , Grafana , and ELK Stack . Experience Required: The ideal candidate will have 7 - 15 years of experience in Java development, demonstrating a high level of proficiency and a proven track record of success in delivering complex projects. This level of experience is expected to include leading technical initiatives and mentoring junior team members. What We Offer Salary: 50 LPA

Software Engineer (2) - Commodity Engineer 0

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking two experienced Software Engineers to join our team in Bangalore. This role focuses on the development and maintenance of our Pega platform, with a strong emphasis on Commodity Engineer principles. The ideal candidate will possess a strong foundation in software engineering principles and a passion for building robust and scalable solutions. Key Responsibilities This role requires a high level of proficiency in designing, developing, and implementing solutions within the Pega environment. You will be responsible for the entire software development lifecycle, from requirements gathering to deployment and ongoing support. A key aspect of this role will be leveraging Automation Tools and DevOps Practices to ensure efficient and reliable delivery of high-quality software. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 6-8 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and implement complex software solutions, as well as mentor junior team members. Core Technologies: Pega and Pega PRPC Proficiency: Demonstrated expertise in the Pega platform, including Pega Constellation , Ruleset Strategy , Case Architecture , and Integration Architecture . Programming Languages: Strong proficiency in Python , C# , and JavaScript . .NET Development: Experience with .NET Developer , .Net Framework . RESTful Services, JSON, XML, HTTP, API: Ability to design and consume RESTful Services and work with data formats like JSON and XML . Cloud Technologies: Google Cloud Platform: Familiarity with Google Cloud Platform services. Cloud-Native Deployments: Experience with Cloud-Native Deployments , Kubernetes , AKS , and EKS . DevOps & Automation: DevOps Practices: Solid understanding of DevOps Practices , including CI/CD Pipelines and Release Governance . Automation Frameworks: Experience with Automation Frameworks . Pipeline Deployments: Ability to manage Pipeline Deployments and adhere to Merge Governance best practices. Data & Architecture: Data Model: Strong understanding of Data Model concepts. Microservices Architecture: Experience with Microservices Architecture . AI & Machine Learning: AI: Basic understanding of AI principles. GenAI: Exposure to GenAI concepts. Agentic AI: Familiarity with Agentic AI . Domain Knowledge: Banking, Financial Services: Understanding of Banking and Financial Services concepts, including Disputes , Cards , Payments , and Lending . Pega Smart Disputes: Experience with Pega Smart Disputes . Compliance, Regulatory Considerations: Awareness of Compliance and Regulatory Considerations . Other Skills: Analytical Skills: Strong Analytical Skills for problem-solving and data analysis. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical issues. Communication Skills: Effective Communication Skills to collaborate with cross-functional teams. What We Offer Salary: