Sr. Software Engineer- Cloud Infrastructure and DevOps

Experteer Overview In this role you will design and build AI-powered tooling to boost Venmo’s Cloud Infrastructure and DevOps teams. You’ll lead by example, mentor engineers, and advance an AI-driven platform that improves productivity, reliability, and deployment velocity. You’ll work on integrating AI into cloud workflows, runbooks, incident response, and automation, contributing to scalable, secure global services. This is a hands-on, high-impact position within Venmo’s fast-evolving tech environment. Compensation / Benefits * Act as project or system lead, coordinating engineers to meet objectives * Define technical tasks and guide teammates on implementation * Improve existing structures and processes to optimize outcomes * Balance priorities to identify optimal engineering solutions * Identify patterns and generalize solutions to reduce repetition * Collaborate with management to raise engineering standards * Represent PayPal in external interactions with partners or customers * Troubleshoot incidents, root-cause analysis, and preventive measures * Develop and enhance automation to manage infrastructure as code * Design and build AI-powered tools (LLM runbooks, intelligent alerting, AI-assisted code generation) * Integrate AI into developer tools, CI/CD pipelines, and observability platforms * Build internal AI platforms and APIs for cross-team tooling * Evaluate emerging AI tools and models for cloud/DevOps use cases * Establish responsible AI practices, safety, and observability of AI outputs Tasks * Bachelor’s in computer science or related field * 5+ years of software development or related experience * 3+ years operating distributed applications in Cloud Engineering/DevOps/SRE * Extensive AWS cloud infrastructure design and support experience * Deep hands-on experience with IaaS and PaaS in AWS or similar * Proficiency in Python, Java, Bash, Go * Hands-on containerization and orchestration (Docker, Kubernetes) * Strong communication to explain complex issues to non-technical audiences * Hands-on experience building AI-enabled apps (LLMs, generative AI) * Experience with prompt engineering, RAG, and LLM evaluation techniques * Experience integrating AI/ML into developer tools, CLIs, chatbots, or internal platforms * Familiarity with AI observability, safety, and production AI practices * Nice-to-have: ML model serving, vector databases, embedding pipelines Key requirements * flexible hybrid work model * comprehensive health coverage * paid time off * equity and incentive compensation * wellness and mental health resources * financial security programs

• Troubleshoot incidents, root-cause analysis, and preventive measures * Develop and enhance automation to manage infrastructure as code * Design and build AI-powered tools (LLM runbooks, intelligent alerting, AI-assisted code generation) * Integrate AI into developer tools, CI/CD pipelines, and observability platforms * Build internal AI platforms and APIs for cross-team tooling * Evaluate emerging AI tools and models for cloud/DevOps use cases * Establish responsible AI practices, safety, and observability of AI outputs Tasks * Bachelor’s in computer science or related field * 5+ years of software development or related experience * 3+ years operating distributed applications in Cloud Engineering/DevOps/SRE * Extensive AWS cloud infrastructure design and support experience * Deep hands-on experience with IaaS and PaaS in AWS or similar * Proficiency in Python, Java, Bash, Go * Hands-on containerization and orchestration (Docker, Kubernetes) * Strong communication to explain aaaaav _ issues to non-technical audiences * Hands-on experience building AI-enabled apps (LLMs, generative AI) * Experience with prompt engineering, RAG, and LLM evaluation techniques * Experience integrating AI/ML into developer tools, CLIs, chatbots, or internal platforms * Familiarity with AI observability, safety, and production AI practices * Nice-to-have: ML model serving, vector databases, embedding pipelines Key requirements * flexible hybrid work model * comprehensive health coverage * paid time off * equity and incentive compensation * wellness and mental health resources * financial security programs