Devops Automation Engineer - #1173167
DNA AI TECHNOLOGIES PTE. LTD.
Key Responsibilities
1. Production Support & Operational Excellence (L2)
Provide robust L2 production support for mission-critical enterprise applications, ensuring compliance with SLAs, KPIs, and operational standards.
Monitor application health, system performance, and infrastructure stability using enterprise monitoring tools (e.g., OMI, ElasticSearch, Kibana, Monitoring-as-Code).
Perform root-cause analysis (RCA) for complex operational incidents and implement permanent corrective and preventive actions (CAPA).
Support enterprise file transfers (CFT), batch job schedulers (BMC Control-M, Autosys, TWS), and messaging queues (IBM WebSphere MQ).
Maintain comprehensive runbooks, Standard Operating Procedures (SOPs), and operational knowledge bases.
Participate in change management, release planning, and incident response, including after-hours/on-call rotational support during critical outages or scheduled maintenance.
2. DevOps, CI/CD & Deployment Automation
Manage and optimize CI/CD automation pipelines using Jenkins, Maven, Git, and Cucumber to ensure seamless application releases.
Develop, maintain, and troubleshoot Terraform scripts for Infrastructure as Code (IaC) provisioning and cloud resource lifecycle management.
Write, refine, and execute Ansible Playbooks for configuration management, automated patch deployment, server provisioning, and routine operational task automation.
Execute database deployment automation using tools such as Flyway and Liquibase, alongside orchestrators like Rundeck.
3. Containerization & Cloud Orchestration
Administer and support Docker containers, including container image creation, optimization, security scanning, and deployment.
Manage Kubernetes clusters for container orchestration, scaling, high availability, and deployment management.
Utilize packaging and continuous deployment tools such as ArgoCD and Helm for cloud-native application delivery across AWS and Google Cloud Platform (GCP).
4. Environment & Database Maintenance
Administer Unix/Linux (Red Hat) and Windows Server environments supporting Java/J2EE applications (WebSphere, JBoss, Tomcat, IIS).
Support Relational Database Management Systems (RDBMS) including Oracle, Sybase, MS SQL Server, and PostgreSQL.
Collaborate with network, security, and infrastructure teams on DNS, firewall, and routing configurations.
Technical Qualifications & Experience
Mandatory Technical Skills
Production Support & OS: L2-level Linux (Red Hat) and Windows Server administration, alongside strong
Shell, Python, or Perl scripting skills.
CI/CD & Automation: Proven expertise in
Jenkins, Terraform (IaC), and Ansible / Ansible Playbooks.
Containerization: Hands-on experience with
Docker and Kubernetes deployment and cluster administration.
Work Schedulers & Middleware: Knowledge of
BMC Control-M (or TWS/Autosys) and messaging systems like IBM WebSphere MQ.
Database Knowledge: Good understanding of relational databases (
Oracle, Sybase, MS SQL, PostgreSQL).
Ticketing & Collaboration: Hands-on working experience with
ServiceNow and JIRA.
Preferred / Good-to-Have Skills
DevOps Ecosystem: Familiarity with Maven, Git, Cucumber, RunDeck, Flyway, and Liquibase.
Cloud & Cloud Native: Practical exposure to
AWS or GCP, as well as ArgoCD and Helm.
Observability: Experience with ElasticSearch, Kibana, and Monitoring-as-Code (MAC).
Security & Practices: Exposure to DevSecOps practices and network architecture principles (DNS, Firewalls, Load Balancers).
Candidate Profile & Soft Skills
Strong analytical, diagnostic, and problem-solving mindset with a focus on automation-first solutions.
Excellent verbal and written communication skills to articulate technical issues to cross-functional teams.
Proven ability to work under pressure during high-priority production incidents.
Strong team player with a customer-centric and results-oriented mindset.
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