[Hiring] AWS Cloud Engineer @DMS Vision

Role Description

We are hiring multiple Cloud AI Software Engineers who have actually built AI/ML applications—not just read about them. You will operate as a trusted advisor in a hands-on capacity for the development of retrieval-augmented generation (RAG) systems, fine-tuning LLMs, and AWS-native microservices that drive automation, insight, and governance in an enterprise environment. You'll design and deliver scalable, secure services that bring large language models into real operational use—connecting them to live infrastructure data, internal documentation, and system telemetry.

You'll be part of a high-impact team pushing the boundaries of cloud-native AI in a real-world enterprise setting. This is not a prompt-engineering sandbox or a resume keyword trap. If you've merely dabbled in SageMaker, mentioned RAG on LinkedIn, or read about vector search—this isn't the right fit. We're looking for candidates who have architected, developed, and supported AI/ML services in production environments.

These are builder roles within our Public Cloud AWS Engineering team. We aren't hiring buzzword lists or conference attendees. If you've built something you're proud of—especially if it involved real infrastructure, real data, and real users—we'd love to talk. If you're still learning, that's great too—but this isn't an entry-level role or a theory-only position.

AWS Cloud Engineer I

Key Responsibilities

• Hands-on role responsible for implementing and maintaining new features within public cloud infrastructure.
• Lead the design and development of scalable Terraform modules, promoting infrastructure as code and advancing our cloud strategy.
• Build cloud-native services to support application teams and contribute to the development of cloud infrastructure automation.
• Automate processes while achieving operational excellence, ensuring systems are maintainable and scalable.
• Support application teams in leveraging cloud products and services, enhancing internal customer experiences.
• Participate in communities of practice by contributing to and following standards, reviewing others' code, and sharing knowledge.
• Create and maintain technical documentation for the team to reference and share with our internal customers.
• Provide technical support to regulatory agencies, external auditors, and internal auditors, as required, to respond to audits and examinations of the Bank's control environment.
• Mentor and develop the skills of junior team members through coaching and training.

Qualifications

• 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 (SCP, AWS Config).
• Demonstrated understanding of Infrastructure as Code best practices and strong experience with building complex Terraform modules.
• Experience with RESTful APIs and scripting.
• Basic knowledge of SDLC and agile methodologies.
• Experience with Git, AWS serverless technologies, containerized workloads, and Jenkins orchestration is a plus.
• Experience deploying production applications into cloud environments; AWS certification(s) is a plus.
• Financial industry experience is a plus.
• Excellent verbal and written communication skills in English.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Preferred Qualifications

• AWS or relevant cloud certifications.
• Data science background or experience working with structured/unstructured data.
• Exposure to FinOps and cloud cost optimization.
• Policy as Code development (i.e., Terraform Sentinel).
• Familiarity with Agile methodologies and DevOps practices.
• Advanced certifications or specialized training.