Full Stack Software Engineer

United StatesRemoteFull TimeEntry-level (exp-based)$90,000–$159,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Seeking a product-focused Full Stack Software Engineer with 1-3 years of backend experience in cloud environments (AWS, Azure, GCP) and proficiency in Python, Java, or Go. The role involves designing, building, and operating backend services for generative AI capabilities, including LLM-backed APIs and agents, as well as scaling data infrastructure for file management and high-throughput data flows. You will work across the full stack, from backend services and cloud infrastructure to occasional frontend changes, collaborating with product and design teams to deliver end-to-end user experiences. Experience with data-intensive systems and AI agents in the development lifecycle is highly valued.

### Who you are
- 1-3 years of backend software engineering experience building and operating distributed systems in a major cloud environment (AWS, Azure, or GCP)
- Strong experience in at least two of Python, Java, or Go, and comfort working across service boundaries and APIs
- Experience with data-intensive systems (for example: object storage, relational databases, caches, queues/streams) and experience or strong interest in building products on top of LLMs or agents
- Experience using AI agents as part of the software development lifecycle (Claude Code or similar)
- Willingness to work across the stack as needed—from backend services and cloud infrastructure to occasional frontend changes
- Strong product mindset, ability to navigate ambiguity, and effective collaboration with designers, product managers, and other engineers
- BS in Computer Science or equivalent experience

### What the job involves
- We are seeking a product-focused Software Engineer to join our infrastructure organization, owning core data and AI capabilities that power file management, high-performance data paths, bring-your-own data patterns, and integrations with external systems
- Design, build, and operate backend services for generative AI capabilities, including LLM-backed APIs, agents, retrieval and knowledge layers, and connectors to internal and external systems
- Build and scale data infrastructure underpinning file management and high-throughput data flows between customer environments, cloud object storage, and compute clusters, with an emphasis on reliability, performance, and cost
- Work across the stack—from backend services (Python/Java/Go) and cloud infrastructure (AWS/Azure/GCP, containers/Kubernetes) to the occasional UI change—to deliver end-to-end user-facing experiences in collaboration with product, design, and other engineering teams

### Benefits
- Vision and dental insurance
- Pre-tax commuter benefits
- 401k plan
- Stock options
- Work from home opportunities
- Health insurance
- Apple gear
- Catered lunches

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