Posted on: 29/10/2025
Description :
- Lead a team of like minded engineers and establish a regiment of quality, automated, AI first, results driven center of excellence at your location.
- Lead the design and engineering of scalable, secure, and resilient enterprise software and cloud platforms.
- Define and implement best practices in software development, DevSecOps, and infrastructure automation.
- Oversee the deployment, monitoring, and maintenance of platforms using SRE principles.
- Architect and manage cloud infrastructure (AWS, Azure, GCP), ensuring performance, cost-
efficiency, and compliance.
- Lead the development and optimization of CI/CD pipelines and Infrastructure as Code (IaC)
practices.
- Guide the adoption of containerized and serverless architectures (e.g., Docker, AKS, Azure
Functions).
- Ensure adherence to security standards, conduct risk assessments, and lead compliance
initiatives.
- Translate complex business requirements into scalable technical solutions and roadmaps.
- Mentor and coach engineering teams, fostering a culture of continuous improvement and
innovation.
- Explore and integrate generative AI technologies to enhance software capabilities and
automation.
You have :
Education :
- Bachelors degree in Computer Science, Information Systems, or a related technical field.
- Minimum of 12 years of experience in software engineering, DevSecOps, or platform engineering.
- At least 5 years in a technical leadership role.
- Minimum 2 years of experience with AI and generative AI technologies or equivalent
exposure.
- Proven experience in enterprise-scale application and infrastructure operations.
Skills :
- Deep expertise in programming frameworks (.NET, Java) and modern application
development.
- Extensive experience with Terraform and other IaC tools, including module development and maintenance.
- Proficiency with CI/CD tools (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions).
- Strong architectural knowledge of cloud platforms (AWS, Azure, GCP), including service design
and deployment.
- Familiarity with SRE practices and tools for monitoring, incident management, and
performance tuning.
- Strong analytical, problem-solving, and decision-making skills in complex technical
environments.
- Excellent communication and collaboration skills, with the ability to influence stakeholders
and lead teams.
- Relevant certifications (e.g., PSD, Azure/AWS DevOps) are preferred.
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Posted By
Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1566491
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