Company: NPS Prism
Website: Visit Website
Recruiter: Aksshay Malaviya
Business Type: Enterprise
Company Type: Product & Service
Business Model: B2B
Funding Stage: Bootstrapped
Industry: B2B Saas in CX domain
Salary Range: ₹ 15-23 Lacs PA
Job Description
NPS Prism is a market-leading, cloud-based CX benchmarking & operational improvement platform owned by Bain & Co. Responsibilities: Implement & manage continuous delivery systems and methodologies on AWS & Azure. Develop & maintain an efficient operations process that includes metrics reporting and platform performance. Implement best practices for automation, GitOps, and monitoring. Ensure the scalability, performance, and resilience of our system. Prioritize requests from operations and development teams fairly while demonstrating a sense of empathy. Leverage Jenkins for deployment of applications to the cloud environment. Enhance network security and performance through effective management of protocols, VPNs, VPCs, load balancing, and more. Lead the design and implementation of build, release, deployment, and configuration activities. Architect, set up, and maintain our infrastructure and development environments. Lead the design and implementation of CI/CD pipelines and DevOps practices. Oversee on-call management, troubleshooting, and system administration tasks. Manage and maintain tools to automate operational processes. Lead the daily maintenance and troubleshooting of the company’s existing cloud infrastructure. Collaborate with development teams to ensure smooth and secure application integration and deployment. Work closely with cross-functional teams to identify and implement best practices and improvements in DevOps processes. Collaborate with developers to make sure new environments meet requirements and conform to best practices. Qualifications: 5-9 years of overall experience with 2-3 years as Lead DevOps Engineer role or similar software engineering role We are seeking an experienced and highly motivated Tech Lead - DevOps specializing in CI/CD, cloud technologies like Microsoft Azure / AWS, Docker, Kubernetes, Jenkins, python scripting, bash scripting, creating pipeline for data engineering and MLOps to join our dynamic team.