Engineering Lead Analyst

• Design, develop, and maintain automation solutions to streamline the deployment, configuration, and lifecycle management of complex systems
• Identifying tasks that are repetitive, time-consuming and, strategically implement automation to optimize resource capabilities, improve efficiency and cost savings
• Possess a strong understanding of DevOps and SRE principles, applying them to enhance the reliability, scalability, and efficiency of automation solutions
• A solid grasp of modern data technologies is essential. Build robust automations tailored for data product ecosystems, enabling seamless integration, processing, and management of complex data workflows
• Engineer and customize enterprise platforms to align with evolving organizational requirements, ensuring scalability, reliability, and maintainability
• Build and deliver custom solutions, enhancements and extensions that improve system capabilities, operational workflows, and end-user experience
• Evaluate and certify new product features and releases through structured testing and validation to ensure compatibility, performance, and security within the enterprise environment
• Collaborate cross-functionally with operations teams to provide technical guidance, develop fit-for-purpose automation tools, and support production needs
• Engage with external vendors and internal stakeholders to coordinate product features, raise enhancement requests, and resolve technical issues efficiently
• Liaise with end users and internal customers to gather requirements, provide technical solutions, and deliver a high standard of service and support
• Contribute to the overall system architecture and engineering strategy, promoting automation-first approaches and reusable design patterns
• Document processes, solutions, and best practices to ensure transparency, knowledge sharing, and operational excellence.

• Total 8+ years of IT experience
• Solid hands-on experience of 6+ years with Linux operating systems, including extensive experience with VMware environments
• Solid proficiency cultivated over 6+ years in Unix Shell scripting, Ansible, Terraform, Python scripting, and Java for robust automation and development
• Proven experience of 5+ years architecting, deploying, and managing solutions utilizing containerization technologies, including Docker, Kubernetes, OpenShift, and Helm, in production environments
• Extensive expertise with 5+ years of hands-on experience in SQL language, complemented by a strong command of multiple Relational Database Management Systems (RDBMS), HiveQL, and Spark for data manipulation and analysis
• Experience working with AWS/GCP. Certification is preferred
• Demonstrated DevOps skills with a minimum of 4 years of experience, including proficiency in version control (GitHub) and practical application of CI/CD tools (e.g., Jenkins, Tekton, Harness)
• Preferred experience with observability tools like Grafana, Elastic Kibana, Splunk etc.

Preferred experience with observability tools like Grafana, Elastic Kibana, Splunk etc.