Senior AI-Driven Cloud Engineer | DevOps & SRE

Jobtailor

Arizona

On-site

USD 150,000 - 210,000

Full time

10 days ago

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Job summary

Jobtailor is seeking a Senior Cloud Engineer to lead AI-powered tooling for Venmo's cloud infrastructure. You will design, implement, and scale automation, mentor engineers, and collaborate with DevOps/SRE teams to improve reliability.

The role requires 5+ years in software/system engineering, strong Python/Go, AWS, Docker, Kubernetes, and experience with LangChain, LlamaIndex, and OpenAI APIs. Remote-friendly with emphasis on security and observability.

Qualifications

5+ years relevant experience and a Bachelor’s degree or any equivalent combination of education and experience.
Bachelor’s in computer science or related field of study.
5+ years’ experience in software development or related field.
3+ years’ experience operating distributed applications 24x7x365 on cloud infrastructure.
Extensive hands-on experience designing, implementing, and supporting infrastructure for global-scale services.
Hands-on experience with AWS or similar cloud providers (IaaS/PaaS).
Hands-on programming in Python, Java, Bash, and Go.
Hands-on experience with Docker and Kubernetes.
Experience with LLMs or generative AI frameworks (LangChain, LlamaIndex, OpenAI API, Bedrock).
Experience with prompt engineering, RAG, and LLM evaluation.
Experience integrating AI/ML into developer tools and platforms.
Familiarity with AI observability and responsible AI practices.

Responsibilities

Deliver complete solutions spanning all phases of the Software Development Lifecycle.
Act as a project or system leader and coordinate other engineers’ activities.
Determine technical tasks for other engineers.
Advise management on project-level issues and collaborate on engineering standards.
Design and build AI-powered tools for Venmo’s Cloud Infrastructure and DevOps teams.
Develop LLM-powered tools for runbook generation, incident triage, and root cause analysis.
Develop AI-assisted automation pipelines for provisioning, scaling, and deployment.
Integrate AI capabilities into developer tooling, CI/CD pipelines, and observability platforms.
Build and maintain internal AI platforms and APIs for LLM and ML capabilities.
Evaluate and drive adoption of emerging AI tools, frameworks, and models.
Establish responsible AI best practices, including evaluation, safety, and observability.
Mentor junior engineers and lead by example.
Define project designs and coordinate stakeholders; manage risks and changes.
Troubleshoot incidents and implement preventive measures.
Develop and improve infrastructure and configuration-as-code automation.
Improve infrastructure reliability and scalability.
Support the scalability and reliability of Venmo’s AWS cloud infrastructure.