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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