Analyst, Infrastructure SRE Engineer, Data Platform, Group Technology

• Design, implement, and manage highly reliable and scalable Kubernetes clusters and underlying infrastructure to support our data platform.
• Implement and optimize GitOps workflows using ArgoCD for declarative continuous deployment and infrastructure configuration management, ensuring consistency and auditability.
• Develop and maintain robust CI/CD pipelines using tools like Jenkins, focusing on infrastructure changes and automated validation for reliability and efficiency.
• Define, monitor, and report on Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets to drive continuous improvement in system reliability.
• Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, OpenTelemetry) to proactively detect and diagnose infrastructure and application issues.
• Automate infrastructure provisioning, configuration, and management using Infrastructure as Code (IaC) tools such as Terraform, Helm, Kustomize, and Ansible.
• Lead incident response, root cause analysis (RCA), and post-incident reviews for critical infrastructure outages, implementing preventative measures to enhance system resilience.
• Collaborate with development, operations, and data engineering teams to embed reliability practices throughout the software development lifecycle.
• Manage Bitbucket repositories, ensuring version control, code review, and best practices for infrastructure-as-code.
• Continuously identify and eliminate toil through automation and process improvements.

• Bachelor's degree in Computer Science, Engineering, or related field.
• Strong experience with Kubernetes and containerization technologies (Docker, Podman).
• Proficiency in Git version control system and experience with Git branching strategies.
• Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
• Familiarity with infrastructure as code tools like Terraform, Helm, Kustomize, and Ansible.
• Solid understanding of networking, security, and monitoring concepts in Kubernetes environments.
• Strong scripting and automation skills (Bash, Python, or similar).
• Excellent problem-solving and communication skills.
• Ability to work effectively in a fast-paced, collaborative environment.

Nice to Have:

• Certification in Kubernetes (CKA, CKAD) or related technologies.


• Experience with observability platforms like Prometheus, Grafana, Splunk, or OpenTelemetry.


• Knowledge of data processing frameworks like Apache Spark, Kafka, or Flink.

DBS Asia Hub

Analytics, Technology

Regular

Full time