Cloud Engineer

Your Job

We are seeking an experienced and proactive Software Engineer / AWS AI/ML Cloud Engineer to design, build, deploy, and support cloud-native applications and AI/ML solutions on AWS. The primary focus of this role is developing production-grade software applications and platforms that leverage AWS cloud services, AI/ML capabilities, and modern software engineering practices to solve complex business challenges.

In this role, you will apply your expertise in Python software development, cloud architecture, and AWS technologies to deliver secure, scalable, and maintainable solutions. You will be responsible for building application backends, APIs, cloud services, automation frameworks, and AI-enabled applications while partnering with business and technical teams to bring innovative ideas into production. The ideal candidate is passionate about writing high-quality software, designing robust systems, and continuously learning emerging cloud and AI technologies.

Our Team

You will be part of the dedicated Software Solutions Group (SSG) within the Copper Solutions Business Unit (CSBU), collaborating across the organization to deliver innovative software platforms, web applications, serverless solutions, and AI-powered capabilities on AWS.

Our team combines strong software engineering principles with modern cloud technologies to build scalable business solutions. We value ownership, problem solving, collaboration, and technical excellence, offering opportunities to work across the full software development lifecycle while leveraging the latest AWS, automation, and AI/ML technologies.

What You Will Do

• Design, deploy, and manage scalable and highly available Python applications built on cloud, specifically built on AWS infrastructure.
• Build the best AI/ML solutions with the available resources, from DB hosted on the cloud to refresh BI dashboards, such as Power Bi dashboards.
• Work with core AWS services such as EC2, S3, RDS, VPC, IAM, Lambda, Amplify, AppSync, SQS, API Gateway, ECR, Glue, SageMaker, Bedrock, and CloudWatch.
• Implement Infrastructure as Code (IaC) using Terraform.
• Monitor, troubleshoot & optimize cloud environment for performance, security, and cost optimization.
• Collaborate with development team on CI/CD pipelines.
• Ensure security best practices including IAM roles, policies, encryption, and network security.
• Troubleshoot Python based applications on cloud infrastructure issues and provide root cause analysis.
• Practice the clean code and best practices for developing Python web applications.
• Participate in architecture reviews and cloud optimization initiatives.
• Stay current with AWS best practices.
• Maintain thorough design documentation, operational procedures, and best practices.

• Bachelors or Masters degree in Computer Science, Information Systems, Software Engineering, or a related field.
• 5+ years of professional software engineering experience developing enterprise applications, with strong proficiency in Python.
• 3+ years of hands-on AWS cloud experience and 2+ years of experience with AWS AI/ML services, including Amazon SageMaker and Amazon Bedrock.
• Strong experience designing and building production-grade software applications, REST APIs, web applications, software libraries, and SDKs.
• Hands-on experience with AWS services including EC2, VPC, S3, RDS, IAM, Lambda, Amplify, AppSync, SageMaker, Glue, Bedrock, and CloudWatch.
• Experience implementing AI/ML and Generative AI solutions in cloud environments.
• Experience with CI/CD, automation, and DevOps practices using tools such as GitLab, Jenkins, or AWS-native services.
• Strong understanding of cloud networking, security, and AWS architectural best practices.
• Experience gathering requirements, writing technical proposals and documentation, and delivering end-to-end software solutions.
• Strong understanding of object-oriented design, software architecture patterns, and modern software development best practices.

• Experience designing and implementing serverless and event-driven architectures on AWS.
• Experience building AI/ML, Generative AI, and data pipelines using services such as SageMaker, Bedrock, Glue, and related AWS technologies.
• Experience developing and supporting enterprise-scale software applications and cloud-native solutions.
• Hands-on experience with containerization, infrastructure automation, and configuration management using tools such as Docker and Ansible.
• Experience with observability, monitoring, logging, cost optimization, and operational excellence in AWS environments.
• AWS Certifications such as AWS Certified Solutions Architect, Machine Learning Engineer, or AI Practitioner.

Who We Are

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.