Sr. Software Engineer- Cloud Infrastructure and DevOps

Overview In this role you design and build AI-powered tooling that enhances Venmo’s cloud infrastructure and DevOps teams. You’ll lead by example as a hands-on contributor, mentoring engineers and advancing scalable, reliable AI-enabled systems. You work with cross-functional partners to integrate AI into CI/CD, tooling, and operations. This position offers a chance to shape how AI accelerates engineering workflows at scale and across PayPal’s ecosystem. Compensation / Benefitsgenerous paid time offhealthcare coverage for you and familyflexible hybrid work modelequitable and inclusive benefitsfinancial security resourcesmental health support ResponsibilitiesAct as a project or system leader and coordinate engineering effortsDefine technical tasks and guide junior engineersImprove existing structures and processes while balancing time, quality, and riskCollaborate with management to raise engineering standardsRepresent PayPal in external interactions with partners and industry groupsTroubleshoot incidents, identify root causes, and implement preventive measuresDevelop and improve infrastructure automation and configuration-as-code toolingDesign and build LLM-powered tools for runbook generation, incident triage, and configuration reviewIntegrate AI capabilities into developer tools, CI/CD pipelines, and observability platformsBuild internal AI platforms and APIs for other teams to leverage AI/ML capabilitiesEvaluate and adopt emerging AI tools and models relevant to cloud/DevOpsEstablish responsible AI practices, including safety and observability of AI outputsLead by example to improve production operations and delivery qualityDrive AI-powered automation pipelines to reduce toil and accelerate workflows Key requirements5+ years of relevant software/engineering experienceBachelor’s degree or equivalent3+ years operating distributed applications in Cloud/DevOps/SRE contextsExtensive hands-on AWS cloud experience and infrastructure design/managementStrong programming/scripting (Python, Java, Bash, Go)Hands-on experience with Docker, KubernetesExcellent communication to explain technical issues to non-technical audiencesExperience building applications with LLMs or generative AI frameworks (e.g., LangChain, LlamaIndex, OpenAI API, Amazon Bedrock)Experience with prompt engineering, RAG, and LLM evaluationExperience integrating AI/ML into developer tools, CLIs, chatbots, or internal platformsFamiliarity with AI observability and safety in productionML model serving, vector DBs, or embedding pipelines are a plusAbility to translate ambiguous problems into well-scoped AI solutions5+ years software development and 3+ years cloud infra ops experiencestrong communicationmentoring能力independence in decision-makingAWS (cloud infra)Docker, KubernetesPython, Go, Bash