Software Engineer - AI Infrastructure

Andromeda Cluster, Inc

$120K — $160K *
US-AnywhereRemote in San Francisco, CA
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in Infrastructure, Platform, or Backend Engineering roles.
  • Deep understanding of Linux, networking, storage, and distributed systems.
  • Proven expertise with Kubernetes, VMs, or bare-metal environments.
  • Advanced software engineering skills in Python, Go, or similar languages.
  • Extensive experience with infrastructure as code and automation tools like Terraform and Ansible.
  • Ability to navigate ambiguity and simplify complex problems into clear solutions.
  • Strong product-focused mindset regarding reliability and sustainable operations.

Responsibilities

  • Design and develop core platform components for orchestration and lifecycle management.
  • Build robust APIs and services that work across various infrastructure types.
  • Translate customer behaviors into actionable product requirements.
  • Automate internal processes to reduce manual operational tasks.
  • Enhance platform reliability, performance, and observability.
  • Collaborate with teams to establish ownership boundaries of platform capabilities.
  • Write clean, maintainable, and well-documented code.

Benefits

  • Opportunity for ownership and autonomy in system development.
  • Engagement with customers to shape product features.
  • Foundation-building for scalable AI infrastructure.
  • Work in a remote-friendly environment from anywhere in North America.
  • Chance to join a dynamic team in an early-stage startup.
Full Job Description
Software Engineer - AI Infrastructure

Location: North America Remote / San Francisco • Full-Time

The Role

As an Infrastructure Product Engineer, you will play a pivotal role in building the backbone of Andromeda's platform. You'll transform complex, real-world infrastructure challenges into scalable product capabilities that benefit our customers.

Positioned at the intersection of infrastructure and product engineering, this role is deeply technical and systems-oriented, yet laser-focused on building solutions with broad leverage.

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 (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, emphasizing durable improvements over quick fixes.
  • 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.


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; effective collaborator across engineering and product functions.


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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