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
- 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.
Nice to Have
Skills Required
- BE/BTech/ME/MTech degree with 4-6 years systems/application engineering experience with DevOps exposure
- 3+ years hands-on experience in application support or cloud operations
- Hands-on experience with Docker and Kubernetes (EKS) and operating a Kubernetes distribution in production (minimum 1 year)
- Expert knowledge of AWS and administration experience with cloud platforms; familiarity with hybrid/multi-cloud (OCI, GCP)
- Strong working experience on CI/CD processes and tools such as Jenkins, GitHub, Maven, Helm charts
- Infrastructure-as-code and provisioning: Ansible, Terraform, CloudFormation
- Scripting experience: Python, Shell (Bash), Groovy (Perl also referenced)
- Application middleware administration: JBoss, Apache, Tomcat, NGINX
- Experience setting up auto-scaling for Kubernetes and EMR clusters
- Experience with monitoring and APM tools (Prometheus, Grafana, ELK/EFK, NewRelic, StageMonitor, Zabbix)
- Good understanding of security in general and specifics related to Kubernetes platform
- Familiarity with networking concepts: DNS, firewalls, SFTP, file systems, LDAP
- Familiarity with collaboration tools like JIRA and Confluence
- 1-2 years working experience on any service mesh (preferably Istio)
- Strong experience on Linux operating systems (Red Hat, Oracle Linux, CentOS, Ubuntu, Amazon Linux)
- AWS or other cloud certifications
- Experience with databases, big data (Hadoop, Spark), WebSphere/WebLogic, Elasticsearch/Kibana, EMR, Informatica, Cognos, Looker
- Experience with Graylog, StageMonitor or similar logging/monitoring solutions
- Experience with Agile methodologies (Scrum/Kanban)
What We Do
Model N enables life sciences and high tech companies to drive growth and market share, minimizing revenue leakage throughout the revenue lifecycle. With deep industry expertise and solutions purpose-built for these industries, Model N delivers comprehensive visibility, insight and control over the complexities of commercial operations and compliance. Our integrated cloud solution is proven to automate pricing, incentive and contract decisions to scale business profitably and grow revenue. Model N is trusted across more than 120 countries by the world’s leading pharmaceutical, medical technology, semiconductor, and high tech companies, including Johnson & Johnson, AstraZeneca, Stryker, Seagate Technology, Broadcom and Microchip Technology. For more information, visit www.modeln.com.






