Axiom Cloud is transforming how the world’s cooling systems are powered, operated, and maintained, generating significant climate and financial impact. They are seeking a Software Engineer to work at the intersection of IoT, cloud infrastructure, and real-world energy systems, focusing on building software that matters. The role involves collaborating with various teams to develop AI-enabled products and maintaining an ecosystem of software services and APIs.
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
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
- Passionate about 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 for tooling, automation, and platform services in Python
- 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