DevSecOps Senior Engineer

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Support architecture for complex applications ensuring they meet business requirements.
• Implement best practices in coding with support of AI
• Perform the deployment, monitoring, and maintenance of platforms.
• Conduct work activities using SRE principles, such as resilience, metrics, capacity planning, toil, Incident management and security
• Manage cloud infrastructure and services (e.g., AWS, Azure, Google Cloud).
• Collaborate with cross-functional teams (developers, operations, QA, etc.).
• Communicate technical concepts to non-technical stakeholders.
• Implement and Manage Continuous Integration and Continuous Deployment (CI/CD) pipelines.
• Develop scripts and tools to improve operational efficiency.
• Build and help transform container and serverless architectures, such as AKS (Azure Kubernetes Service), EKS (Elastic Kubernetes Services), Docker and Azure Functions. 
• Ensure software and platforms comply with security standards and regulations.
• Implement security best practices and conduct regular security assessments.
• Adhere to access controls and protect sensitive data.
• Document processes, procedures, and infrastructure setups.
• Stay up to date with emerging technologies and industry trends.
• Continuously improve systems, processes, and methodologies.
• Participate in project planning and execution.
• Ensure projects are completed on time and within budget.
• Understand customer requirements and translate them into technical solutions.
• Engage with stakeholders to gather feedback and refine requirements.
• Ensure customer satisfaction through reliable and high-quality deliverables.
• Explore generative AI technologies to enhance software capabilities.
• Deploy AI models for automated content generation and predictive analytics.

OTHER DUTIES

• Performs other duties as assigned by management
• On call rotation responsibilities with the Service Delivery and Operations Team

JOB QUALIFICATIONS & EXPERIENCE

Requirements:

• Bachelor’s degree in computer science, Information Systems, or a related field
• Minimum 1 year of experience with AI and Generative AI technologies or equivalent
• Minimum of 3 years of hands-on experience in the DevSecOps engineering discipline, prefer enterprise engineering experience or equivalent  
• Experience with Application and Infrastructure Operations
• Proficiency in scripting languages (e.g., Bash, Python) for automation tasks and infrastructure management.
• In-depth knowledge of programming frameworks (e.g., .NET, JAVA) and application development. 
• Extensive experience with Terraform for infrastructure as code (IaC) management, including writing and maintaining modules. 
• Proficiency with CI/CD tools and practices (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions), including creating and managing pipelines. 
• Comprehensive experience with cloud platforms (e.g., AWS, Azure, GCP), including designing and implementing cloud services and architectures. 
• Strong analytical and problem-solving skills, with the ability to work effectively in a fast-paced, evolving environment, ensuring platform reliability and scalability. 

Thought Leadership and Soft skills:

• Excellent communication and collaboration skills, with a willingness to learn and contribute to team success.