4 backend infrastructure engineer jobs at 4 companies in Scott Lake, FL
1w
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Staff Software Engineer, Core Infrastructure
San Francisco or Ottawa or Charlotte or Phoenix or Toronto or Los Angeles or Denver or Salt Lake City or Atlanta or Raleigh or Chicago or Houston or Portland or New York City or Vancouver or San Diego or Sacramento or Jacksonville or Seattle or Mexico City or Austin or Miami or Boston or Dallas
$145k-$275k/yr RemoteFull Time
10+ YOE10+ years building backend, distributed, or data-intensive systems; production Rust and strong Python; storage and database expertise; AWS, infrastructure as code, operational excellence, technical leadership, and mentoring.
Rust, Python, Apache Arrow, Parquet, DataFusion, Amazon S3, PostgreSQL, MySQL, AWS, AWS Lambda, Amazon ECS, Amazon Aurora, Terraform, delta-rs, Claude Code
1mo
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Sr AI Engineer I
New York or Sunrise or Phoenix
$123k-$215k/yr OnsiteFull Time
5+ YOE5+ years software engineering experience with production LLM or applied ML systems; strong backend, APIs, data pipelines, and cloud infrastructure skills; experience shipping AI/agentic systems and owning production reliability.
Python, Go, TypeScript, AWS, GCP, Kubernetes, REST, gRPC, Kafka, LLMs
23h
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Full Stack Software Developer
Miami, Florida, United States
OnsiteFull Time
4+ YOERequires 4+ years building production web applications across frontend and backend, React, TypeScript, Python or Node.js, API and PostgreSQL experience, cloud infrastructure, Docker, CI/CD, AI product integration, and security-minded engineering.
React, TypeScript, Python, Node.js, REST, GraphQL, PostgreSQL, AWS, GCP, Azure, Docker, CI/CD, LLM APIs, AI coding assistants, ethers.js, viem, RPC, Solidity, Rust, Model Context Protocol, vector databases, evaluation frameworks, infrastructure as code
2w
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Senior Staff TPM - Core Infrastructure & Platform Evolution
Palo Alto or Virginia or Miami or São Paulo
HybridFull Time
Requires deep infrastructure, SRE, or backend engineering expertise; hands-on technical leadership; massive cloud-native systems experience; architectural mastery; AI/ML transformation experience; and executive communication skills.
AI, ML, SRE, cloud-native, distributed databases, microservices