Software Engineer, AI-Driven Cloud & IoT (Remote)

axiomcloud

San Jose (CA)

Remote

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Stock options
Remote work
Generous PTO

Job summary

Axiom Cloud is seeking a Software Engineer to join our fully remote team, working Pacific Time hours. You will bridge IoT, cloud infrastructure, and real-world energy systems to deliver AI-enabled solutions across a multi-tenant platform.

The role covers full-stack development, cloud-native deployment, and collaboration with hardware and data science teams. Expect strong growth, equity, and a mission-driven SaaS environment.

Qualifications

  • BS in Computer Science, Engineering, or related field.
  • 3+ years of professional software development experience.
  • Strong OO and functional design intuition.
  • Comfort across full stack, from architecture to production operations.

Responsibilities

  • Build and maintain an ecosystem of software services and APIs from cloud to IoT edge.
  • Collaborate with hardware, controls, modeling, and data science teams.
  • Engineer reliability and scale in a multi-tenant microservices stack.
  • Contribute to cloud-native deployment practices across production env.
  • Reduce technical debt and set higher bar for new features.
  • Build and orchestrate AI Agents to accelerate productivity.
  • Participate in code reviews and improve internal tooling.

Skills

Full-stack development
Cloud fundamentals
Kubernetes & compute
Python
React
CI/CD
AI & LLMs
Networking & security

Education

Bachelor's degree in Computer Science or related field

Tools

GKE / EKS
Terraform
Databricks
GitHub Actions
Okta IAM
React tooling

Job description

Axiom Cloud is seeking a Software Engineer to join our fully remote team, working Pacific Time hours. You will bridge IoT, cloud infrastructure, and real-world energy systems to deliver AI-enabled solutions across a multi-tenant platform.

The role covers full-stack development, cloud-native deployment, and collaboration with hardware and data science teams. Expect strong growth, equity, and a mission-driven SaaS environment.

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