AWS Cloud Engineer with Devops & Python (100% Remote)
About The Position
The AWS Cloud Engineer I is a hands-on role on the Public Cloud AWS Engineering team, implementing and maintaining features in public cloud infrastructure. The engineer designs and develops scalable Terraform modules, builds cloud-native services and infrastructure automation, and helps application teams use cloud products and services. The role emphasizes operational excellence, maintainable and scalable systems, infrastructure as code, and production-ready cloud-native AI/ML capabilities, including RAG systems, LLM fine-tuning, and AWS-native microservices. The posting describes a six-month W2 role that is 100% remote, with candidates required to reside in the Eastern Time Zone.
Requirements
- At least 5 years of hands-on DevOps engineering experience, with a strong focus on Python.
- Experience with Sentinel Policy as Code in a production environment.
- Experience with AWS Organizations and policy guardrails, including SCP and AWS Config.
- Demonstrated understanding of Infrastructure as Code best practices and strong experience building complex Terraform modules.
- Experience with RESTful APIs and scripting.
- Basic knowledge of SDLC and Agile methodologies.
- Strong verbal and written communication skills in English.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Must reside in the Eastern Time Zone.
- W2 work arrangement only.
Nice To Haves
- Experience with Git, AWS serverless technologies, containerized workloads, and Jenkins orchestration.
- Experience deploying production applications into cloud environments.
- AWS certifications.
- Financial industry experience.
- Data science background or experience working with structured or unstructured data.
- Exposure to FinOps and cloud cost optimization.
- Policy as Code development, such as Terraform Sentinel.
- Familiarity with Agile methodologies and DevOps practices.
- Advanced certifications or specialized training.
- Production experience architecting, developing, and supporting AI/ML services.
Responsibilities
- Implement and maintain new features within public cloud infrastructure.
- Lead the design and development of scalable Terraform modules and promote infrastructure as code.
- Build cloud-native services to support application teams and contribute to cloud infrastructure automation.
- Automate processes and ensure systems are maintainable, scalable, and operationally excellent.
- Support application teams in using cloud products and services.
- Participate in communities of practice by following and contributing to standards, reviewing code, and sharing knowledge.
- Create and maintain technical documentation for the team and internal customers.
- Provide technical support to regulatory agencies and external and internal auditors for audits and examinations of the Bank's control environment.
- Mentor and develop junior team members through coaching and training.
- Develop and support production AI/ML services, including RAG systems, LLM fine-tuning, and AWS-native microservices.
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
