Job Description :

Role & responsibilities :

- Lead and define the organization's Platform Engineering strategy, roadmap, and technology vision to support scalable and reliable software delivery.

- Build, mentor, and lead high-performing Platform Engineering and DevOps teams, fostering a culture of innovation, collaboration, and continuous improvement.

- Design and maintain secure, scalable, and highly available cloud infrastructure across AWS, Azure, or Google Cloud Platform.

- Drive the development of Internal Developer Platforms (IDP) to enhance developer productivity and streamline software delivery.

- Oversee Kubernetes platforms, container orchestration, Infrastructure as Code (Terraform), and cloud-native technologies.

- Establish and optimize CI/CD pipelines, deployment automation, release management, and infrastructure provisioning processes.

- Implement best practices for observability, monitoring, logging, incident management, disaster recovery, and platform reliability.

- Collaborate with Engineering, Product, Security, Architecture, and Operations teams to deliver resilient and scalable platform solutions.

- Ensure platform security, governance, compliance, and cost optimization across cloud environments.

- Define platform standards, automation frameworks, and operational excellence initiatives to improve engineering efficiency.

- Evaluate emerging technologies and recommend improvements to modernize the platform ecosystem.

- Drive continuous improvement in platform performance, scalability, availability, and developer experience.

Preferred candidate profile :

- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.

- 5 to 10 years of experience in Platform Engineering, DevOps, Cloud Infrastructure, or Site Reliability Engineering, including leadership experience.

- Strong expertise in AWS, Microsoft Azure, or Google Cloud Platform and cloud-native architecture.

- Hands-on experience with Kubernetes, Docker, Terraform, Helm, Infrastructure as Code (IaC), and container orchestration.

- Deep understanding of CI/CD pipelines, automation tools, Git, Jenkins, GitHub Actions, GitLab CI/CD, or ArgoCD.

- Experience implementing observability solutions using Prometheus, Grafana, ELK Stack, Datadog, or similar monitoring platforms.

- Strong knowledge of Linux administration, networking, cloud security, identity and access management (IAM), and disaster recovery.

- Proficiency in scripting or programming languages such as Python, Go (Golang), or Bash.

- Experience with microservices, distributed systems, API management, and platform architecture.

- Strong understanding of Agile methodologies, DevOps practices, and modern software development lifecycle (SDLC).

- Proven ability to lead cross-functional teams, mentor engineers, and manage complex technical programs.

- Excellent communication, stakeholder management, strategic planning, and problem-solving skills.

- Professional certifications such as AWS Certified Solutions Architect, AWS DevOps Engineer, Azure Solutions Architect, Google Professional Cloud Architect, CKA, or Terraform Associate are preferred.