DevOps Engineer

We are looking for a highly skilled DevOps Engineer II to join our Platform Engineering team. The ideal candidate will have strong hands-on expertise in cloud infrastructure, CI/CD automation, Kubernetes, observability, and infrastructure as code. You will work closely with engineering, SRE, QA, and product teams to build scalable, secure, and resilient cloud platforms powering next-generation digital products. This role requires someone who thrives in fast-paced product environments and can drive automation, reliability, and operational excellence across distributed systems.

Responsibilities:

• Design, implement, and maintain scalable CI/CD pipelines for microservices and cloud-native applications.
• Manage and optimise Kubernetes-based container orchestration platforms.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Build and maintain cloud infrastructure primarily on AWS/GCP/Azure environments.
• Improve system reliability, scalability, performance, and security across environments.
• Implement monitoring, logging, and observability solutions using tools like Prometheus, Grafana, ELK, Datadog, or Splunk.
• Collaborate with development teams to streamline release cycles and deployment strategies.
• Drive DevSecOps best practices, including secrets management, vulnerability scanning, and compliance automation.
• Troubleshoot production issues, conduct root cause analysis, and support incident management.
• Optimise infrastructure costs and improve platform efficiency.
• Contribute to automation initiatives for deployments, testing, scaling, and recovery processes.

Requirements:

• 4-6 years of experience in DevOps, Cloud Engineering, or Platform Engineering roles.
• Strong experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on expertise in Kubernetes, Docker, and containerised environments.
• Strong knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI, or ArgoCD.
• Experience with Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation.
• Good understanding of Linux systems, networking, and scripting (Bash/Python).
• Experience with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog, or Splunk.
• Familiarity with microservices architecture and distributed systems.
• Understanding of security best practices in cloud-native environments.
• Experience working in Agile/Scrum-based engineering teams.

Good to Have:

• Exposure to SRE practices, including SLIs/SLOs and incident response management.
• Experience with service mesh technologies like Istio.
• Knowledge of serverless architectures and event-driven systems.
• Exposure to AI/ML infrastructure or MLOps pipelines is a plus.
• Relevant cloud certifications (AWS/Azure/GCP/Kubernetes) preferred.