Software Engineer - AI Infrastructure
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Key skills for this role
About the Role
Andromeda Cluster is looking for a Software Engineer to build the backbone of their AI infrastructure platform. You will design core platform components, build APIs and services, and create automation tooling.
Key Skills for This Role
Responsibilities
- Design and develop core platform components, including infrastructure orchestration, provisioning, and lifecycle management solutions.
- Build robust APIs, services, and control planes that abstract over diverse infrastructure types (VMs, Kubernetes, bare metal, schedulers).
- Translate customer usage patterns into product requirements, delivering impactful features and improvements.
- Create automation and internal tooling to eliminate manual or ad hoc operational work.
- Enhance reliability, performance, and observability at the platform level.
- Collaborate with peer teams to define clear ownership boundaries between platform capabilities and customer specific solutions.
- Write clean, maintainable, and well documented code with a focus on long term sustainability.
- Participate in technical design discussions and contribute to the architectural evolution of our platform.
Requirements
- 5+ years of experience in Infrastructure, Platform, or Backend Engineering roles.
- Strong systems fundamentals: deep understanding of Linux, networking, storage, and distributed systems.
- Proven expertise with Kubernetes, VMs, or bare metal environments.
- Advanced software engineering skills; capable of building production grade APIs and services (Python, Go, or similar).
- Extensive experience with infrastructure as code and automation tools (Terraform, Ansible, Helm, etc.).
- Demonstrated ability to navigate ambiguity and distill complex problems into clear, maintainable abstractions.
- Product focused mindset: care about interfaces, defaults, reliability, and sustainable operations.
- Excellent written and verbal communication skills.
Full Job Posting
About Andromeda
- Andromeda Cluster, founded by Nat Friedman and Daniel Gross, is on a mission to democratize access to cutting edge AI infrastructure.
- Our orchestration layer seamlessly routes training and inference jobs across the world.
- Long term vision is to establish a global marketplace for AI compute.
What You'll Do
- Design and develop core platform components, including infrastructure orchestration, provisioning, and lifecycle management solutions.
- Build robust APIs, services, and control planes that abstract over diverse infrastructure types.
- Translate customer usage patterns into product requirements, delivering impactful features and improvements.
- Create automation and internal tooling to eliminate manual or ad hoc operational work.
- Enhance reliability, performance, and observability at the platform level.
- Collaborate with peer teams to define clear ownership boundaries.
- Write clean, maintainable, and well documented code.
- Participate in technical design discussions and contribute to architectural evolution.
What We're Looking For
- 5+ years of experience in Infrastructure, Platform, or Backend Engineering roles.
- Strong systems fundamentals: deep understanding of Linux, networking, storage, and distributed systems.
- Proven expertise with Kubernetes, VMs, or bare metal environments.
- Advanced software engineering skills; capable of building production grade APIs and services (Python, Go, or similar).
- Extensive experience with infrastructure as code and automation tools (Terraform, Ansible, Helm, etc.).
- Demonstrated ability to navigate ambiguity and distill complex problems into clear, maintainable abstractions.
- Product focused mindset: care about interfaces, defaults, reliability, and sustainable operations.
- Excellent written and verbal communication skills.
Nice To Have
- Hands on experience with GPU or AI infrastructure.
- Experience with control plane or orchestration systems.
- Background spanning both infrastructure and application/backend engineering.
- Experience architecting multi tenant systems.
- Strong skills in technical writing and design documentation.
- Early stage startup experience.
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