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
3+ years of hands-on experience in application support or cloud operations
Strong knowledge of operating systems: Linux (OEL, CentOS, Ubuntu, Amazon Linux)
Experience with middleware technologies: JBoss, Apache, Tomcat, NGINX
Familiarity with DevOps tools: Jenkins, Terraform, Git, Ansible
Scripting skills in Bash/Shell, Python, Perl, or Groovy
Solid understanding of networking concepts: DNS, firewalls, SFTP, file systems, LDAP
Experience with containerization technologies (e.g., Docker, Kubernetes)
Hands-on experience with monitoring tools such as Zabbix, Prometheus, Grafana, ELK stack
Experience working with AWS, OCI, or other cloud platforms
Familiarity with collaboration tools like JIRA and Confluence
Advance troubleshooting skills
Nice to Have
AWS or other cloud certifications
Experience with Agile methodologies (Scrum/Kanban)
Knowledge of databases (Oracle or other RDBMS) and data migration tools
Exposure to big data technologies like Hadoop or Spark
Experience with WebSphere, WebLogic, datahub
Familiarity with Elasticsearch, Kibana, EMR
Experience supporting tools like Informatica. cognos or Looker
Monitoring tools – Zabbix,graylog etc.
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.