QualificationsProven experience as a Full Stack Engineer or similar role.Strong proficiency in programming languages such as Python, JavaScript, TypeScript, or similar.
- Experience with AI/ML technologies and frameworks.
- Familiarity with modern development tools and practices, including CI/CD, version control, and codereviews.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication skills and the ability to work effectively in a collaborative team environment.
- Passion for innovation and staying up-to-date with the latest advancements in AI and software development.5 years of experience working in an enterprise hosting complex systems.
- Programming language experience is a must-have, e.g., Java, Python. Familiarity with jar and war structuresis helpful.
- 5 years of experience with front-end development using React.js.
- 5 years of experience in Node.js and frameworks like Express, Loopback, Meteor, etc.
- Experience with cloud infrastructures like AWS, Azure, or GCP.
- Strong understanding of container systems (Docker) and container orchestration (e.g., ECS/EKS,Kubernetes).
- Experience with back-end integration, web services & APIs (GRPS, REST/OData/GraphQL, JSON, XML,ProtoBuf).
- Ability to evaluate design approaches, tools, build frameworks, and improve existing systems.
- Experience with build systems, CI/CD tools (like AWS DevOps, Jenkins), and applicationanalytics/monitoring.
- Experience with git and GitHub repositories.
- Experience with Nexus and Artifactory.
- Experience using package managers, including yum, rpm, and apt.
- Strong Linux/Unix background and advanced bash scripting knowledge.
- Strong understanding of security best practices in coding and operations. Vulnerability managementexperience is a plus.
- Experience with metrics, monitoring, and alerting tools such as Splunk, Wavefront, AppDynamics,Prometheus, PagerDuty.
- Experience working in a cross-region setup collaborating with multiple geographically separated engineeringcenters.
- Experience in building AI/ML applications using tools like LangChain, Google Datalab, etc., will beadvantageous.
- Experience in data vector embedding.