DevOps Engineer

Cognizant; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Cognizant is seeking a senior infrastructure Production Support Engineer in Kuala Lumpur to independently troubleshoot complex production issues and improve stability through automation. You will guide junior resources and own deeper triage across OS, databases, and logs in a regulated tech environment.

Responsibilities include leading RCA, building automation, and supporting containerized deployments with Docker/Kubernetes, while coordinating with cross-functional teams and documenting

Qualifications

• Minimum 5 to 8 years of infrastructure/application production support experience in banking or regulated tech.
• Strong scripting depth in at least one language with ability to write, maintain and troubleshoot automation scripts.
• Ability to write and optimize SQL queries and collaborate with DBAs for deeper issues.
• Hands-on ITIL-based Incident, Problem and Change Management in production.
• OS exposure across Linux/Unix/RHEL and Windows with troubleshooting skills.
• Scripting in Bash, Python, PowerShell, Perl or batch with automation evidence.
• Experience with enterprise monitoring/observability tools such as Splunk, Dynatrace, Grafana.

Responsibilities

• Own deeper technical triage across OS, DB, batch, logs, observability and dependencies.
• Design and enhance automation scripts for recurring tasks, health checks, log extraction and runbooks.
• Lead problem analysis, trend identification and preventative actions for recurring incidents.
• Support containerized or modern environments with Docker/Kubernetes in production.
• Coordinate incident triage and root-cause analysis with cross-functional teams.
• Maintain production stability through monitoring, alert analysis and risk escalation.
• Document incidents, changes, risks and runbooks using Jira/Confluence.

Skills

Scripting

Triage & Troubleshooting

SQL & DBIssueAnalysis

ITIL Incident Mgmt

Linux/Windows Troubleshooting

Automation Scripting

Monitoring & Observability

Tools

Splunk

ITRS Geneos

AppDynamics

Dynatrace

Nagios

ELK

Grafana

Jira

Confluence

Job description

This role is intended for senior engineers who can independently troubleshoot complex production issues, improve stability through automation and guide junior support resources.

Job Responsibilities

• Own deeper technical triage across OS, database, batch, middleware/application logs, observability and platform dependencies.
• Design and enhance automation scripts for recurring support tasks, health checks, log extraction, alert enrichment and manual process reduction.
• Lead problem analysis, trend identification and preventative actions for recurring incidents.
• Support containerized or modernized environments where Docker/Kubernetes are part of the production or transformation landscape.
• Support the communication surveillance and related upstream / downstream applications through incident triage, root-cause analysis and service restoration.
• Maintain production stability through monitoring, alert analysis, capacity awareness, runbook execution and risk escalation.
• Work with CTB, RTB, vendor and cross-functional technology teams to support production fixes, enhancements, transition readiness and release/change activities.
• Use Jira and Confluence to maintain traceability of incidents, problems, changes, risks, user stories, knowledge articles and operational procedures.

Must-have skills

• Minimum 5 to 8 years of infrastructure/application production support experience, preferably in banking, capital markets or regulated technology.
• Strong scripting depth in at least one language with ability to write, maintain and troubleshoot automation scripts independently.
• Ability to write and optimize SQL queries, investigate database-related production issues and work with DBAs when deeper administration is required.
• Hands-on experience in ITIL-based Incident, Problem and Change Management in production environments.
• Strong operating system exposure across Linux / Unix / RHEL and Windows, with ability to troubleshoot application and infrastructure issues.
• Scripting capability in at least one relevant language, preferably Bash, Python, PowerShell, Perl or batch scripting, with evidence of automation or support tooling.
• Working knowledge of relational databases such as MS SQL and/or Sybase, including query execution, query writing and production issue investigation.
• Experience using enterprise monitoring and observability tools such as Splunk, ITRS Geneos, AppDynamics, Dynatrace, Nagios, ELK or Grafana.
• Ability to document support procedures, incident notes, change records and runbooks using Jira and Confluence or equivalent tools.
• Banking, financial services, capital markets or regulated production support exposure.

Preferred / nice-to-have skills

• Exposure to communication surveillance, conduct surveillance or regulatory surveillance platforms such as Smarsh Enterprise Conduct, Csurv or Theta Lake.
• Experience with batch scheduling tools such as BMC Control-M, Autosys or Tidal.
• Exposure to Docker and Kubernetes, especially troubleshooting deployed containers or supporting application platforms in production.
• Understanding of sales tooling, CRM, trading or capital markets technology workflows.
• Experience supporting disaster recovery, resilience testing, configuration management and production readiness reviews.