DevSecOps Engineer

As a DevSecOps Engineer, you will collaborate with engineering, operations, and security teams to design, deploy, and maintain robust cloud-based systems. You’ll strengthen our software delivery processes through automation, continuous integration, and adherence to security best practices. This is an excellent opportunity to grow within a global organization that fosters innovation, learning, and professional development.

Key Responsibilities

• Support application and platform architecture ensuring alignment with business requirements.
• Implement best coding practices with AI-assisted development tools.
• Manage cloud infrastructure across AWS, Azure, and GCP.
• Build and maintain CI/CD pipelines using tools such as Azure DevOps, Jenkins, GitLab CI, or GitHub Actions.
• Develop automation scripts and infrastructure as code (IaC) using Terraform.
• Design, deploy, and maintain containerized and serverless architectures (AKS, EKS, Docker, Azure Functions).
• Apply Site Reliability Engineering (SRE) principles—resilience, metrics, capacity planning, incident management, and security.
• Conduct regular security assessments and ensure compliance with enterprise standards.
• Collaborate with development, operations, and QA teams for seamless system integration.
• Explore and deploy generative AI technologies for predictive analytics and automation.
• Maintain detailed documentation of systems, processes, and configurations.
• Participate in project planning, ensuring timely and quality delivery of solutions.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline.
• Minimum 2 years of hands-on experience in DevSecOps or enterprise engineering.
• Strong knowledge of cloud platforms (AWS, Azure, or GCP) and infrastructure automation.
• Proficiency in scripting languages such as Bash or Python.
• Familiarity with programming technologies (.NET, Java).
• Experience with IaC tools like Terraform and CI/CD practices.
• Understanding of AI and Generative AI technologies.
• Solid analytical and problem-solving capabilities in high-availability environments.

Soft Skills

• Excellent communication and collaboration abilities.
• Proactive learning mindset and adaptability to evolving technologies.
• Strong commitment to quality, performance, and innovation.

Additional Information

• Minimal domestic travel may be required.
• Normal professional office environment.
• On-call rotation duties with the Service Delivery and Operations team.