Software Engineer, Agent Infrastructure

Netic

$120K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years experience with distributed systems on major cloud platforms (GCP preferred, AWS or Azure acceptable)
  • Proven track record in automating infrastructure as code and CI/CD pipelines
  • Expertise in optimizing systems for performance and cost under multi-modal workloads
  • Familiar with modern observability tools and cloud services
  • Understanding of enterprise security compliance requirements
  • Mindset focused on treating infrastructure as a product and anticipating future needs
  • Exposure to AI infrastructure, LLM hosting, or a personal interest in experimenting with LLMs

Responsibilities

  • Design and operate cloud infrastructure for AI agent support
  • Create automated deployment pipelines and infrastructure as code
  • Implement systems for graceful autoscaling and support of multiple regions
  • Build monitoring and logging systems for real-time visibility
  • Enforce security best practices, including IAM and network segmentation

Benefits

  • Opportunity to work with cutting-edge AI technology
  • Collaborative environment with a focus on building and innovation
  • In-person work culture fostering direct interaction and teamwork
  • Commitment to employee fulfillment and excellence
  • Equal opportunity employer promoting diversity and inclusion
Full Job Description
As an Agent Infrastructure Engineer, you'll architect and scale the backbone supporting our autonomous AI agents-tackling real-world challenges with immediate, tangible impact. You'll collaborate with a driven team of builders to shape infrastructure and processes from the ground up, leveraging cutting-edge cloud and orchestration technologies. If you thrive in fast-paced, ambiguous environments and are excited to set new standards in the agentic space, this is your opportunity to build and leave your mark.

What You'll Do
  • Build cloud infrastructure: Design and operate the backbone that hosts our AI agents and supports our platform.
  • Automate operations: Create infrastructure as code and automated deployment pipelines for reliable releases.
  • Enable scale: Implement systems that handle usage spikes gracefully through autoscaling and multi-region support.
  • Create observability: Build monitoring, logging, and dashboards that provide real-time visibility into system health.
  • Maintain security: Implement security best practices including IAM, network segmentation, and audit trails.
What You'll Bring
  • Infrastructure experience: 4+ years running distributed systems at scale with a major cloud platforms (we use GCP but AWS and Azure is great, too).
  • Automation and engineering efficiency skills: Proven record of owning infrastructure-as-code and CI/CD pipelines (Terraform, Git Actions, etc).
  • Performance expertise: Experience optimizing systems and databases to meet latency and cost targets under multi-modal workloads. For example, experience with pgBouncer, Kubernetes-based autoscaling, and similar tools.
  • Observability knowledge: Fluent with modern monitoring and tracing tooling (we use Datadog) and built-in tools in Vercel or GCP.
  • Security awareness: Understanding of enterprise security requirements and compliance needs like authentication and service proxies.
  • Product mindset: Treat infrastructure as a product and prioritize ambiguous requirements to see around the corner for 1-2 years ahead of our current systems-measure impact and iterate continuously.
  • Exposure to AI infrastructure and LLMs. Experience with hosting agents or with LLMs or an interest in experimenting with LLMs - even in your own free time!

What brings us together is our commitment to:
  • Live to build
  • Run through walls and win
  • Obsess over customers in each line of code
  • Lose sleep over the "almost perfect"
  • Show internal locus of control
  • Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship

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