We are looking for a highly experienced Node.js Backend Developer specialized in building Gen AI-based tools for automating SRE Incident Management. The ideal candidate will have a profound understanding of SRE tools, and the capabilities required to automate and integrate these tools effectively. Key Responsibilities: Design, develop, and maintain scalable, robust backend solutions using Node.js, NestJS, and Azure cloud services. Collaborate with cross-functional teams to create AI-driven tools that automate SRE Incident Management processes. Integrate and automate SRE tools such as ServiceNow, AppDynamics, Science Logic, and App Insights. Develop and extend APIs and event-driven applications to support automation initiatives. Utilize knowledge of MongoDB and/or other SQL databases to ensure seamless data integration and storage management. Stay updated with the latest trends in AI and machine learning, leveraging large language models (LLMs) and prompt engineering where applicable. Document system designs, architectures, and procedures to ensure quality delivery. Troubleshoot and resolve backend issues in a timely manner. Requirements : 6-10 years of professional experience in Node.js backend development. Proven expertise in building APIs and event-based applications using NestJS . Experience with Azure cloud services, including deployment and management. Proficiency in integrating and automating with SRE tools such as ServiceNow, AppDynamics, Science Logic, and App Insights. Strong understanding of MongoDB and/or other SQL databases. Familiarity with Git, CI/CD pipelines, and agile development methodologies. Experience or knowledge in large language models (LLMs) and prompt engineering is a plus. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities

Skills/ Experience Required: Minimum of 5 years of Hands-on experience working as a DevOps/Build/Deployment and Engineering & Operations skills Primary Tech Stack: GitLab Pipelines/Github Actions/Jenkins, Gitlab/Github, Terraform, Helm, AWS, Oracle DB knowledge of VM in and out and have worked on migration (pipeline) or servers or created/cloned VM or cloned workload from VM to EC2 instances. Experience with Agile/Scrum, Continuous Integration, Continuous Delivery, and related tools Hands-on experience in production environments, both deploying and troubleshooting applications in Linux environment. Strong experience automating with scripting languages such as Bash, Python, Groovy and any deployment scripting languages Strong experience with CI/CD deployment supporting Java technologies (Jenkins, Nexus, Apache, JBoss, Tomcat) Highly Proficient in Configuration Management (Ansible, Chef or Similar) Hands-on experience with Containerization, Docker & Kubernetes is required. Good understanding of Micro-services architecture, design patterns, and standard methodologies Good understanding of networking, load balancing, caching, security, config and certificate management. Nice to Have Skills Experience with some of key AWS services (IAM, VPC, Lambda, EKS, MSK, Keyspace, Codepipeline) Experience with Java ecosystem (Maven, Ant, Tomcat, JBoss) Experience with Node ecosystem (JavaScript, Angular, Npm, JQuery.) Understanding of SOA and distributed computing Experience with Test Driven Development (TDD) practices with an automated testing framework Experience with Istio Experience SQL Server

Java PL/SQL developer Overall, 8+ Years of experience with Java 8+, Oracle 11+, PUSQL, REST API, JUnit, Angular, Ionic, Protractor, HTMLS, JavaScript, CSS, Business Domain Modelling, Experience with IDEs like Eclipse, WebStorm, and tools like Perforce, JIRA Preferred to have experience in Java Profiling, Memory Analyzer Tool, New Relic APM Strong experience with good design principles (patterns, cohesion/coupling, S.O.L.I.D.) Experience with Services Oriented Architecture and RESTful services development Working knowledge of microservices Experience with writing clean and maintainable code using engineering best practices {unit testing, TDD, continuous integration and deployment, automation, desi n patterns, refactoring etc.)