Sr. DevOps Engineer, AI Must Have: Azure Studio, AWS Bedrock (AI/ML experience)

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Job Overview

As a Senior DevOps Engineer specializing in AI at AAPRO Consulting, you will play a pivotal role in enhancing our cloud infrastructure and automation practices for artificial intelligence and machine learning initiatives. Your expertise in Azure Studio and AWS Bedrock will enable you to design, implement, and maintain scalable systems that efficiently support AI projects. You will collaborate with cross-functional teams to streamline processes, optimize resource management, and ensure the reliability and performance of AI solutions in production environments.

Job Responsibilities

• Design, create, and manage robust CI/CD pipelines to facilitate deployment of AI/ML models and applications.
• Leverage Azure Studio and AWS Bedrock for developing and optimizing cloud infrastructure to support AI workloads.
• Monitor, troubleshoot, and resolve production issues swiftly to maintain high uptime and performance.
• Collaborate closely with software engineers, data scientists, and product managers to ensure seamless integration of AI solutions.
• Implement automation tools to streamline and improve operational efficiency across the development cycle.
• Ensure compliance with best practices and security standards in DevOps processes.
• Provide mentorship and guidance to junior team members in DevOps best practices and AI technologies.
• Continuously evaluate existing infrastructure and processes, recommending improvements that enhance performance and reliability.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in DevOps roles with a strong emphasis on AI/ML technologies.
• Proven expertise in Azure Studio and AWS Bedrock.
• Experience with containerization technologies such as Docker and Kubernetes.
• Solid understanding of scripting and programming languages (e.g., Python, Bash, PowerShell).
• Strong knowledge of version control systems, particularly Git.
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
• Excellent problem-solving skills with a collaborative mindset.

Technologies & Tools

In this role, you will primarily work with Azure Studio and AWS Bedrock, leveraging them for cloud-based AI and ML deployments. You will also utilize containerization tools such as Docker and orchestration technologies like Kubernetes. Familiarity with CI/CD tools, version control systems (like Git), and monitoring tools (such as Prometheus and Grafana) will be essential in maintaining and improving our operational workflows.

Ideal Candidates

The ideal candidate will possess a robust technical background combined with strong interpersonal skills. You should be an agile problem-solver, able to work under pressure while effectively managing multiple projects. A proactive and enthusiastic work ethic, alongside a genuine passion for AI and continuous learning, will set you apart. Your ability to communicate complex technical concepts clearly will foster collaboration within diverse teams and enhance project outcomes.