DevOps Engineer

We are seeking a highly skilled Dev Ops Engineer to join our growing platform team. This role is critical in designing building and maintaining our robust scalable and secure cloud platform which supports our core applications and AI/ML models. The ideal candidate will have deep expertise in cloud technologies (Azure) Infrastructure as Code (IaC) container orchestration and CI/CD pipelines. An understanding of MLOps and data pipeline tools is also essential for integrating with our AI components.

Cloud Platform & Infrastructure Management

• Design implement and manage secure and high-performance cloud infrastructure on the Microsoft Azure ecosystem.
• Utilize Terraform to automate the provisioning configuration and management of cloud resources ensuring consistency and reliability.
• Optimize cloud costs and performance through best practices in resource management and architecture.

Container Orchestration

• Lead the deployment scaling and management of applications and services using Kubernetes and containerisation technologies like Docker.
• Manage infrastructure and resource allocation for all containerised applications and data systems.

CI/CD and Automation

• Develop and maintain robust CI/CD pipelines to automate the build test and deployment of both our front-end and back-end services.
• Implement monitoring logging and alerting solutions to ensure the health and performance of our platform.
• Promote a culture of automation across the development lifecycle.

MLOps and Data Pipeline Integration

• Collaborate with data scientists and engineers to support the operationalization of machine learning models.
• Possess a strong understanding of data pipeline orchestration tools such as Apache Airflow and their integration with cloud infrastructure.
• Assist in the deployment and monitoring of self-hosted LLMs.

Cross-Functional Collaboration:

• Work closely with stakeholders including data scientists software engineers and business analysts to align technical solutions with business needs.
• Mentor junior engineers and foster a culture of continuous learning within the team.

Education

• Bachelors/Masters/PhD degree in Computer Science Engineering or a related field; or equivalent professional experience.

Experience

• 5 years of experience in DevOps Cloud Engineering or a related field.
• Proven track record of designing and managing cloud infrastructure on Microsoft Azure.
• Demonstrated expertise with Terraform for infrastructure provisioning.
• Hands-on experience with Kubernetes for container orchestration in a production environment.
• Experience with building and managing CI/CD pipelines (e.g. Jenkins GitHub Actions Azure DevOps).
• Familiarity with MLOps practices and tools including Apache Airflow is a significant plus.

Technical Skills:

• Proficiency in programming languages such as Bash and Python
• Strong understanding of version control systems (e.g. Git).
• Solid knowledge of networking security and cloud-native services.

Soft Skills:

• Strong problem-solving skills and the ability to work in a fast-paced collaborative environment.
• Excellent communication and documentation skills.
• Strong analytical mindset with attention to detail.

#LI-DJ1

At Element we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming the worlds most trusted testing partner.

All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age disability ethnic origin gender marital status race religion responsibility of dependents sexual orientation or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by the employer or (c) consistent with the contractors legal duty to furnish information. 41 CFR 60-1.35(c)

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