Python Developer with Kubernetes

Software Cloud Engineer
Westlake, TX/ Merrimack, NH-Hybrid (2 alternate weeks onsite in a month)
12 months+

INTERVIEW PROCESS: 2 Rounds
1st - 30 minutes with HM
2nd - 60 minute panel **This round will have a coding exercise**
 
Position Description:
This domain is the Tech Foundation group. They support all the domains in AM from a tech standpoint. Everyone builds their products off what this team makes. The infrastructure is built and maintained in the Cloud.
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The Team
Our Cloud Engineering team collaborates with our architects to design and build our foundational cloud components and frameworks. Through innovation and engineering excellence, we forge the path to harness the power of the cloud for all of Asset Management’s engineers.
 
Candidate Profile:

• Strong understanding of Kubernetes concepts/ecosystem and deploying applications into EKS.
• Demonstrated experience with building Flask/FastAPI based REST APIs and applying design patterns to solutions.
• Proficient in object-oriented Python
• Experience managing systems using infrastructure as code tools (CloudFormation, OpenTofu, ARM, Ansible …).
• Solid understanding/experience of networking, virtualization, storage, containers, serverless architecture/framework, cloud IAM controls and policies.
• AI engineering with hands-on experience building and deploying AI-powered applications.
• DevAssist tools experience, such as Copilot

The Expertise and Skills You Bring :

• Bachelor’s degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.)
• 5+ years of software engineering experience
• Certifications preferred: AWS Solutions Architect, AWS Developer, or Kubernetes Application Developer.
• Passion for excellence, automation, innovation, and collaboration.
• Eager to learn new technologies, ways of working, and to adapt every day.
• Bring curiosity and a questioning mind-set to work, injecting new points of view to the team.
• Ability to triage, execute root cause analysis, and be decisive under pressure.
• Ability to creatively solve new, interesting problems in a dynamic environment.
• Ability to work with a variety of individuals and groups, both in person and virtually, in a constructive and collaborative manner and build and maintain effective relationships.
• Ability to act confidently and cautiously in break-the-glass production scenarios to resolve customer outages.
• Solid understanding/experience in storage, containers, serverless architecture/framework, cloud IAM controls and policies.
• Hands-on experience building and deploying applications using a variety of Amazon Web Services (primarily Cloud Formation, compute, EBS volumes and container).
• Proficient in object-oriented Python.
• Ability to apply design patterns and object-orientation to solutions.
• Hands-on experience with containers and container orchestration.
• Experience managing systems using infrastructure as code tools (CloudFormation, Ansible, Terraform, ARM, etc).
• Strong understanding of Kubernetes concepts/ecosystem and deploying applications into EKS.
• Understanding of versioning and release practices (SCM), code collaboration practices (Git)
• Proficiency with CI/CD tools, especially Jenkins.
• Experience working with database technologies (Oracle/PostgreSQL/SQL Server) preferred.
• Experience in defining and implementing a comprehensive cloud reliability and observability strategy, ensuring that Client's cloud systems are always available when our customers need them.
• Strong understanding of engineering excellence principles, defining engineering standards and proven experience of increasing engineering maturity.

Nice to Have : Experience with deploying and managing LLM models, Retrieval-Augmented Generation (RAG), full stack AI engineering with hands-on experience building and deploying AI-powered applications.