Allegis Global Solutions is the exclusive Contingent HR services provider for one of the world’s leading banks.
At Allegis Global Solutions we’re proud to be the leader in global talent solutions.
We draw upon decades of industry expertise to develop innovative tools, products, processes and strategies focused on outcome.
Moreover, we’re incredibly proud to have built a culture that empowers our people to make their mark while making deep connections that will last a lifetime.
With our passion and culture for talent, we are truly transforming the way the World acquires talent.
Our Client is one of the world's most international banks with over 1,100 branches, offices and outlets in 67 countries.
They operate in some of the world's most dynamic markets and have been for over 150 years.
More than 90 per cent of their income and profits are derived from Asia, Africa and the Middle East.
Their brand promise, Here for good, underlines their distinctive approach.
About the Role
We are looking for a seasoned Site Reliability Engineer (SRE) to join our Platform Engineering team.
This role is ideal for someone who thrives in a fast-paced environment, is passionate about reliability, and enjoys solving complex challenges.
You will play a key role in building and maintaining scalable, resilient systems while driving operational excellence across our cloud-native platforms.
Key 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 Stackdriver .
- 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.
- Collaboration & Culture : Work closely with development, QA, and product teams to embed reliability into the software development lifecycle.
Required Qualifications
- 5–10 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.
Preferred Qualifications
- Cloud certifications (e.g., GCP Professional Cloud Engineer).
- Experience with incident management platforms (e.g., PagerDuty, Opsgenie).
- Exposure to DevOps practices , CI/CD pipelines, and agile methodologies.
- Experience with security and compliance in cloud environments.
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