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Careers at Salt
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Site Reliability Engineer

30 Oct 2025
Singapore
Verified by Turrior

Content + Source + Freshness • 12 Dec 2025 • 95% confidence

82 / 100

Offer value

A solid offering for experienced Site Reliability Engineers, emphasizing cloud and automation skills in a global environment.

  • Competitive salary: 5,000–6,000 SGD/month
  • Opportunity for growth in a major technology client
  • Focus on high availability and reliability in cloud environments
Pros
  • Opportunity to work with a global tech client on innovative projects
  • Focus on enhancing cloud infrastructure and reliability
  • Role supports continuous improvement and automation practices
Cons
  • Contractual position may offer less stability compared to permanent roles
  • Expectations for on-call support can lead to irregular hours
  • Potential high-pressure work environment with incident management

Who it's for

Mid to Senior level • On-site / hybrid work possible

Good fit
  • Experienced SREs and DevOps engineers
  • Candidates looking to work with cutting-edge cloud technologies
  • Individuals excited by automation and improving system metrics
Not recommended for
  • Entry-level candidates without relevant experience
  • Those preferring predictable hours and no on-call responsibilities
  • Individuals lacking strong technical troubleshooting skills

Motivation fit

Desire to enhance cloud infrastructure and reliability practicesInterest in automation of operational processesCommitment to a hands-on approach in overcoming technical challenges

Key skills

Cloud infrastructure management (GCP)Kubernetes expertiseScripting languages (Python, Go, Bash)Incident response and troubleshooting
Score: 82/100 AI verified analysis

About the job

SALT is hiring Site Reliability Engineer for a global technology client in Singapore for 12 months & renewable contract assignment. Responsibilities: Reliability Engineering: Define and implement SLIs, SLOs, and error budgets to measure and improve service reliability. Cloud Infrastructure: Design, deploy, and manage infrastructure on Google Cloud Platform (GCP) or other major cloud providers. Kubernetes Operations: Administer and optimize GKE (Google Kubernetes Engine) clusters, ensuring high availability and performance. Support & Incident Management: Participate in on-call rotations and handle L2/L3 support for production systems. Lead incident response, root cause analysis, and postmortems. Collaborate with teams to reduce MTTR and improve incident workflows. Automation & Tooling: Develop tools and scripts using Python, Go, or Bash to automate operational tasks and improve system efficiency. Monitoring & Observability: Implement and maintain monitoring, logging, and alerting systems using tools like Prometheus, Grafana, ELK, or Stack driver. API Management: Build and maintain internal APIs and integrations that support platform operations and automation. Infrastructure as Code: Use tools like Terraform, Helm, and GitOps to manage infrastructure in a scalable and repeatable manner Qualification: 5 years of experience in SRE, DevOps, or Infrastructure Engineering roles. Strong hands-on experience with cloud platforms, especially GCP. Proficiency in scripting/programming (Python, Go, Bash). Deep understanding of Kubernetes, with hands-on experience in GKE. Solid knowledge of SQL and relational database systems. Experience implementing and managing SLIs/SLOs and reliability metrics. Familiarity with RESTful APIs and microservices architecture. Strong troubleshooting and debugging skills in distributed systems. Excellent communication and collaboration skills. CEI No: R1659595 / EA No: 07C3147 Salt is acting as an Employment Business in relation to this vacancy.

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Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

Key benefits:

  • AI-powered job creation and structured job data
  • Intelligent candidate screening and automated shortlisting
  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
  • Recruitment process automation and reduced time-to-hire

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