Cloud Operations Engineer

As a member of our Cloud Operations organization, you will collaborate with our Development, Product Management and other groups to design, implement and deliver highly scalable and highly available SaaS solution to our enterprise customers. This role will be responsible for maintaining all our Cloud customers Skills and Experience Required BE / B Tech / ME / M Tech with 4-6 years of systems/application engineering exp with DevOps experience Solid understanding of Docker, Kubernetes & EKS platforms and related technologies Strong working experience on CI/CD processes and tools like Jenkins(Expert), Github, Maven, Helm Charts, etc. Should have hands-on administration experience with Cloud Platforms such as AWS. Knowledge of Kubernetes (K8), ArgoCD, HelmChart Self-motivated & strong team player who can collaborate with distributed teams Good understanding of security in general and specifics related to Kubernetes platform. Expert knowledge of AWS platform and services as well as hybrid and multi cloud solutions such as OCI and GCP Proficient in provisioning and Infrastructure-as-code technologies such as Ansible, Terraform, Cloud formation, and etc.)Solid knowledge of scripting in Python/Shell Scripting/Groovy Advance troubleshooting skills Application Middleware platforms such as Jboss, Apache, Tomcat, NGINX etc. Minimum 1 year of working experience in setting up and operating at least one Kubernetes distribution (e.g. EKS) in production Hands on experience in setting up auto-scaling for Kubernetes & EMR clusters Experience with monitoring and APM tools, e.g., Prometheus, Grafana, ELK/EFK, NewRelic, StageMonitor, etc. Good understanding of Agile software development framework AWS Certified Solutions Architect – Associate certification is a plus1-2 years of working experience on any service mesh, preferably Istio Ability to multitask with good communication and interpersonal skills Strong experience on Operating Systems - Linux (Red Hat,Oracle Linux CentOS)

Job Responsibilities:

Troubleshoot and resolve production and non-production issues within defined SLAs

Assess incident severity and respond appropriately to minimize customer impact

Analyze system logs and debug issues to restore services quickly

Perform root cause analysis (RCA) and recommend preventive measures

Communicate incident status and updates to stakeholders effectively

Deploy, monitor, and support application releases across environments

Identify recurring issues, analyze trends, and propose long-term solutions

Automate manual processes to improve operational efficiency

Participate in a 24x7 on-call rotation to ensure continuous support

Work effectively in a fast-paced, high-pressure environment with flexible schedules

About Model N

Model N is the leader in revenue optimization and compliance for pharmaceutical, medtech and high-tech innovators. For more than 25 years, we have helped customers maximize revenue, streamline operations, and maintain compliance through cloud-based software, value-add services, and data-driven insights. With a focus on innovation and customer success, Model N empowers life sciences and high-tech manufacturers to bring life-changing products to the world more efficiently and profitably. Model N is trusted by over 150 of the world’s leading companies across more than 120 countries. For more information, visit www.modeln.com.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.