Production Support Engineer — AWS, Datadog

Zenika Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Training opportunities

Global Zenika community

Challenging, impactful projects

Job summary

Zenika Singapore seeks a Production Support specialist who treats Go-Live as just the start, safeguarding system stability and performance. You diagnose intricate issues, dive into code and data, and ensure resilient, observable web solutions for clients.

You will own the Run phase for critical applications, leverage Datadog and AWS, and collaborate across teams to automate toil, improve runbooks, and communicate effectively under pressure.

Qualifications

• 5 years of hands-on experience in application support or production engineering.
• Strong command of SQL.
• Deep familiarity with Unix/Linux systems and shell scripting.
• Hands-on experience with AWS, Datadog, and Git.
• Understanding of CI/CD pipelines and the SDLC.

Responsibilities

• Monitor application health and performance using Datadog and dashboards.
• Act as primary responder for incidents across Python, Java, and SQL to minimize business impact.
• Conduct root cause analysis and work with development teams on long-term fixes.
• Support deployments and patches via CI/CD pipelines in AWS, with rollback readiness.
• Analyze performance and tune SQL and resources for sustainability.
• Maintain runbooks and documentation for the support knowledge base.
• Communicate clearly with stakeholders during high-pressure situations.

Skills

Analytical problem-solving

Collaboration

Fast learner

Stakeholder communication

Agile mindset

Tools

Unix/Linux

Shell scripting

AWS

Datadog

Git

CI/CD

Job description

Zenika Singapore seeks a Production Support specialist who treats Go-Live as just the start, safeguarding system stability and performance. You diagnose intricate issues, dive into code and data, and ensure resilient, observable web solutions for clients.

You will own the Run phase for critical applications, leverage Datadog and AWS, and collaborate across teams to automate toil, improve runbooks, and communicate effectively under pressure.