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.
Who You Are (Basic Qualifications)
Bachelor's or Master's 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.
What Will Put You Ahead
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.
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
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.
