Software Engineer; Fully Remote

SOFTWARE ENGINEER

Remote (Pacific Hours)

axiom cloud.ai

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.

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.

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.

• 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 Git Hub 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 time series 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., Lang Chain, 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.

• Work directly on mission-critical infrastructure that drives real climate impact.
• Fully remote position with working hours generally aligned to Pacific Time.
• Competitive compensation and benefits package,…