Software Engineer (Fully Remote)

Axiom Cloud•San Jose (Fully Remote), CA

2d•Remote

About The Position

Axiom Cloud is transforming how the world’s cooling systems are powered, operated, and maintained; generating significant climate and financial impact. We are looking for a Software Engineer who wants to work at the intersection of IoT, cloud infrastructure, and real-world energy systems; and who thrives building software that matters.

Requirements

Bachelors in Computer Science, Engineering, or a related field.
3+ years of professional software development experience.
Strong software design instincts; comfortable across object-oriented and functional paradigms.
Motivated to contribute across the full stack, from strategy and architecture to coding, testing, and production operations.
Quick to pick up new technologies and development methodologies.
A self-directed problem-solver who generates innovative solutions with minimal oversight.
Passion for technology innovation, product development, and commercial/industrial SaaS.
Strong fundamentals in GCP (or AWS): VPC design, shared VPC, HA VPN, Cloud Interconnect, Cloud NAT, BGP routing, and Private Service Connect.
Production experience with GKE or EKS, including workload identity, autoscaling, and multi-cluster patterns.
Modular, reusable Terraform with remote state management.
Pipeline-driven delivery for infrastructure and application workloads via GitHub Actions or similar.
Workforce Identity Federation, OIDC/SAML with Okta, IAM design, and service-to-service authentication.
Least-privilege IAM, network segmentation, encryption (CMEK/GMEK, KMS), and secrets management.
Solid working proficiency in Python for tooling, automation, and platform services.
Hands-on with Databricks (Delta Lake, Unity Catalog) or comparable platforms; strong schema design for large-scale timeseries and relational workloads.
Proven ability to tune queries, indexes, and pipelines against billion-row datasets.
Experience with Agentic AI, prompt engineering and RAG systems (e.g., LangChain, Hugging Face).
Systematic root-cause analysis across distributed cloud systems, especially in networking and connectivity.
Working familiarity with React or similar for internal tools and platform dashboards.

Responsibilities

Build, improve, and maintain an ecosystem of software services and APIs that manage a fleet of flexible, intelligent, and resilient assets; from the cloud to the IoT edge.
Collaborate with hardware, controls, modeling, and data science teams to develop innovative, AI-enabled products.
Engineer reliability and scale into our multi-tenant microservices stack, scaling from handfuls to thousands of customer sites.
Contribute to cloud-native deployment practices across our production environment.
Reduce technical debt by addressing existing shortcuts and setting a higher bar for new feature development.
Build and orchestrate AI Agents to accelerate team productivity and deliver customer value.
Participate in code reviews to maintain quality and foster knowledge sharing.
Improve internal tooling and documentation to make the development experience more accessible.
Develop full-stack features that connect backend services to user-facing interfaces.