Devsecops Engineer @ Ara Resources

Job Description

About The Company:

ARA's Client is a leading product engineering and software development company, renowned for delivering top-notch solutions with exceptional speed. With a robust technical ecosystem and strong partnerships with OEMs, They ensure the highest quality software products in the shortest possible time with core expertise in transformative technologies like 5G, IoT, Embedded & Hardware Engineering, AI ML, Edge, and Cloud.

The Role:

Devsecops Engineer

Key Responsibilities:

• Collaborate with cross-functional teams to automate and streamline software development and operations processes using best practices.
• Develop, maintain, and improve CI/CD pipelines for efficient code deployment and release management
• Design and implement infrastructure as code (IaC) solutions using tools like Terraform, Ansible, or CloudFormation
• Ensure the availability, scalability, and reliability of production systems by implementing monitoring, logging, and alerting mechanisms
• Collaborate with development teams to promote a DevSecOps culture by integrating security practices into the software development lifecycle
• Conduct regular security assessments to identify vulnerabilities and recommend remediation measures.
• Collaborate with Data Science teams to build and deploy machine learning models in a production environment.
• Implement MLOps best practices for model versioning, validation, deployment, and monitoring.
• Work closely with infrastructure and cloud service providers to optimize performance, cost, and resource utilization

Skills Required:

• Proven experience as a DevOps or DevSecOps Engineer in a cloud-based environment (e.g., AWS,Azure, GCP).
• Strong knowledge of CI/CD tools and methodologies (e.g., Jenkins, Git, Bitbucket, GitLab).
• Proficiency in scripting languages (e.g., Python, Bash) and infrastructure-as-code tools (e.g., Terraform, Ansible).
• Experience implementing security practices, including vulnerability assessments, penetration testing, and security incident response.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes) and related tools (e.g.,Helm, Rancher).
• Previous experience deploying and monitoring machine learning models in a production environment.
• Understanding of MLOps principles, including model versioning, validation, deployment, and monitoring.
• Strong problem-solving skills and the ability to handle multiple tasks and deadlines simultaneously.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Experience with data processing frameworks (e.g., Spark, Hadoop) and distributed computing architectures
• Knowledge of cybersecurity best practices and compliance frameworks (e.g., ISO 27001, NIST).

Qualifications & Experience:

Bachelor's degree in Computer Science, Engineering, or a related field.
Certification in DevOps, Security (e.g., CISSP), or Cloud Technologies (e.g., AWS, Azure

Employement Category:

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Keyskills:   azure devops machine learning aws python gcp devsecops