21 python cloud developer jobs at 11 companies in Seaside, CA
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Cloud Hardware Development Engineer, AWS Hardware Engineering Services, Specialized Platforms and Servers
Seattle or Cupertino
$136k-$184k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOEBachelor's in electrical/computer engineering or 5+ years in server-level hardware design; experience leading ODMs; develop specs, verification plans and tests; root cause analysis.
Linux, Scripting, CAD tools, Server hardware, Python, Shell scripting
Wisk Aero: Building autonomous all-electric vertical takeoff and landing aircraft.
3+ YOEB.S. in engineering or equivalent experience, 3+ years software development, Python proficiency, Linux and container experience, network capture/analysis, and CI/project tools experience.
Python, JIRA, Wireshark, tcpdump, iPerf, Linux, Docker, Google Cloud, BigQuery
Badger MeterNYSE: BMI: Manufactures and sells water meters and flow measurement solutions.
7+ YOEBachelor's in CS or related,7+ years professional software development experience,proficiency in modern languages,cloud and distributed systems experience,Agile experience,AI coding tool usage,strong architecture and problem-solving skills.
8x8NASDAQ: EGHT: Cloud software for business phone systems and contact centers
14+ YOE14+ years building large-scale backend systems; deep Java expertise; experience with distributed systems, event-driven architecture (Kafka), APIs, cloud-native (Docker/Kubernetes) and integrations with ERP/CRM/payment systems.
Java, Python, Spring Boot, Spring Cloud, Kafka, Docker, Kubernetes, AWS, GCP, Azure, OAuth2, JWT, Salesforce, OpenAPI/Swagger, GitHub Copilot, Claude, REST
NetflixNASDAQ: NFLX: Global video streaming and media production service.
Experience in designing scalable batch and streaming data onboarding systems; proficiency in Java, Python, C++, or similar; familiarity with Kafka, Flink; big data tools like Spark; distributed cloud applications; knowledge of ad tech and privacy considerations.
Heron Power: Developing solid-state transformers and power electronics to modernize electrical grids.
10+ YOEMaster's in CS/Engineering (or equivalent experience),10+ years software engineering experience at Staff/Principal level, backend/distributed systems expertise, cloud and Kubernetes experience, strong language proficiency and leadership.
Dexian Government Solutions: Provides diversified IT and engineering solutions to government agencies.
3+ YOE3+ years network/DevOps experience, AA/AS or equivalent, IAT Level II and Public Trust, proficiency with Linux/Windows, VMware ESXi, scripting (Python/Bash/Ruby), Docker and orchestration, CI/CD and cloud platforms.
VMware ESXi, Python, Bash, Ruby, Docker, ECS, Kubernetes, GitLab, Microsoft Team Foundation, SAN, Azure, GCP
Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)
McLean or San Francisco or San Jose or Richmond or New York City
$197k-$225k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor’s or Master’s in CS/AI/EE/CE with 2–4+ years of AI/ML experience; 4+ years Python/Go/Scala/Java; cloud experience with AWS/GCP/Azure preferred.
AWS, Huggingface, PyTorch, VectorDB, Nemo Guardrails, Open Source AI tools
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
9+ YOE9+ years building highly available, scalable backend services; expertise in microservices, data modeling, cloud, API design (REST/gRPC), async processing, monitoring, and mentoring; experience with Generative AI/ML integrations preferred.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Experience applying AI/ML to hardware verification, strong programming and verification background, familiarity with SystemVerilog/UVM, cloud and CI/CD deployment, and BS/MS in EE/CS/CE.
EdenRoc Sciences: Founds and operates a portfolio of life sciences companies.
PhD in bioinformatics/computational biology (or equivalent), experience developing NGS analytical methods, strong Python and cloud (AWS/Linux) skills, expertise in genomics/epigenetics or cancer biology, strong communication.