Senior Software Engineer - Cloud, Software teamAWS Utility Computing (UC) provides product innovations—from foundational services such as Amazon Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry.
As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS.
Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Be part of an elite team developing cutting-edge AI infrastructure automation solutions supporting Annapurna Labs' innovative technology development.
Shape the future of cloud computing while working with state-of-the-art cloud and AI technologies in a fast-paced environment.
In this role you will create groundbreaking platforms that directly shape the way we work, develop smart automation solutions, implement AI-driven tools and workflows, and be part of AI transformation.ResponsibilitiesArchitect and deploy AI-powered solutions and AWS cloud services that transform development workflowsLead technical innovation by driving architectural decisions and GenAI technology adoptionChampion AI transformation across engineering teams through education and hands-on implementationPartner with elite cloud teams to identify opportunities and deliver innovative solutionsEnsure system excellence through participation in on-call rotations and reliability initiativesBasic QualificationsExperience as a mentor, tech lead or leading an engineering team5+ years of hands-on software engineering experienceExpert-level Python programming skillsStrong software engineering fundamentals: design patterns, system architecture, testing, documentationCloud experience: developing serverless services, cloud based architectureBasic knowledge in AI/GenAI concepts and applications: LLMs, embeddings, RAG, prompt engineering and AI agentsBachelor's degree in Computer Science or equivalent technical fieldCustomer-focused mindset with strong communication skillsSelf-driven learner with exceptional ownership mentalityCollaborative team player who thrives in fast-paced environmentsPreferred QualificationsHands-on experience building GenAI applications - RAG systems, AI agents, chatbots, LLM pipelinesExperience with modern development tools - Cursor, Cline, GitHub Copilot, or similar AI-assisted coding toolsExperience with agentic AI frameworks like LangGraph, AgentCore, CrewAI, or similarKnowledge of AWS serverless and cloud infrastructure (Lambda, CDK, S3, SQS, etc.)AWS certifications (Practitioner, Developer, Solutions Architect) – highly valued but not requiredModel fine-tuning experience - LoRA, QLoRA, full fine-tuning, RLHF, or instruction tuningInclusion and Accommodations: Our inclusive culture empowers Amazonians to deliver the best results for our customers.
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If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Posted: January 22, **** (Updated 3 days ago)Posted: December 22, **** (Updated 3 days ago)Posted: December 16, **** (Updated 4 days ago)Posted: December 3, **** (Updated 4 days ago)Posted: December 7, **** (Updated 4 days ago)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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