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# Software Engineer

- **Company:** Axiom
- **Location:** San Jose, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Border Gateway Protocol, Software as a Service, Cloud Computing, Code Review, Continuous Integration, Software Debugging, Github, Identity and Access Management, Virtual Private Networks (VPN), Python (Programming Language), Key Management, Network Segmentation, Object-Oriented Software Development, OpenID, Performance Tuning, AI-enabled Products, Security Assertion Markup Language (SAML), Software Construction, Software Engineering, Network Switches, Okta, Autoscaling, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Technical Debt, Generative AI, Amazon Virtual Private Cloud (VPC), Backend, Agentic-AI, Data Lakes, Kubernetes, Information Technology, HuggingFace, Front End Software Development, Terraform, Databricks, Microservices
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_Jazz59581-10782525

## About the Role

WHO YOU ARE A general guide - we can bend these rules for an exceptional candidate. + 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. + Passionate about technology innovation, product development, and commercial/industrial SaaS. KEY SKILLS & TECHNOLOGIES Cloud & Networking Strong fundamentals in GCP (or AWS): VPC design, shared VPC, HA VPN, Cloud Interconnect, Cloud NAT, BGP routing, and Private Service Connect.
Kubernetes & Compute Production experience with GKE or EKS, including workload identity, autoscaling, and multi-cluster patterns.
Infrastructure as Code Modular, reusable Terraform with remote state management.
CI/CD Pipeline-driven delivery for infrastructure and application workloads via GitHub Actions or similar.
Auth & Identity Workforce Identity Federation, OIDC/SAML with Okta, IAM design, and service-to-service authentication.
Security Least-privilege IAM, network segmentation, encryption (CMEK/GMEK, KMS), and secrets management.
Python Solid working proficiency for tooling, automation, and platform services.
Data & Lakehouse Hands-on with Databricks (Delta Lake, Unity Catalog) or comparable platforms; strong schema design for large-scale timeseries and relational workloads.
Performance Optimization Proven ability to tune queries, indexes, and pipelines against billion-row datasets.
Agentic AI & Generative AI / LLMs Experience with Agentic AI, prompt engineering and RAG systems (e.g., LangChain, Hugging Face).
Debugging Systematic root-cause analysis across distributed cloud systems, especially in networking and connectivity.
Frontend Working familiarity with React or similar for internal tools and platform dashboards.

## Description

SOFTWARE ENGINEER Remote (Pacific Hours) axiomcloud.ai 510-683-5200 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.
WHAT YOU'LL DO You will work directly with the engineering team on the following strategic initiatives: + 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.