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Senior Infrastructure Engineer

AI Servicing for Auto Lenders
$180,000 - $250,000
DevOps
Senior Software Engineer
In-Person
11 - 50 Employees
5+ years of experience
AI · Finance

Description For Senior Infrastructure Engineer

Salient, an innovative AI workflow automation tool for lenders, is seeking a Senior Infrastructure Engineer to join our team in San Francisco. This role presents an exciting opportunity to shape the infrastructure backbone of a cutting-edge fintech company working with major auto lenders across America.

As our Senior Infrastructure Engineer, you'll be responsible for designing, building, and operating scalable, production-grade infrastructure from the ground up for enterprise and big bank clients with critical data. This role requires a unique blend of technical expertise in cloud infrastructure, security best practices, and modern DevOps methodologies.

The position offers significant autonomy and the chance to set technical direction as we transition to a Kubernetes-based architecture. You'll be working in an environment that values independent thinking and the ability to build systems that scale without extensive guidance. The role requires in-person presence in San Francisco four days a week, emphasizing close collaboration with product, engineering, and leadership teams.

Key aspects of the role include:

  • Leading the architecture and implementation of scalable infrastructure for real-time AI-driven voice services
  • Spearheading our migration from ECS to Kubernetes while establishing robust infrastructure practices
  • Developing and maintaining CI/CD pipelines for safe, rapid deployments
  • Managing monitoring, alerting, and incident response systems
  • Taking ownership of 24/7 uptime systems as the primary point of contact
  • Implementing infrastructure automation through Infrastructure-as-Code

The ideal candidate brings:

  • Extensive experience (5+ years) in DevOps or SRE roles
  • Deep knowledge of cloud platforms and containerization
  • Strong software engineering capabilities in Python, Go, and Bash
  • Expertise in infrastructure-as-code tools and monitoring systems
  • A proven track record of maintaining high-availability systems
  • Experience with real-time communication systems and regulated industries is a plus

This role offers competitive compensation ($180K - $250K plus equity) and the opportunity to work on challenging technical problems in the intersection of AI and financial services. Join us in building the future of lending automation!

Last updated a month ago

Responsibilities For Senior Infrastructure Engineer

  • Architect and implement scalable, reliable, and secure infrastructure for real-time AI-driven voice services
  • Support migration to Kubernetes from ECS and establish infrastructure best practices
  • Build, optimize, and maintain CI/CD pipelines
  • Own monitoring, alerting, and incident response systems
  • Be primary PoC for on-call responsibilities
  • Automate operational workflows and infrastructure provisioning
  • Collaborate with engineering teams to debug issues and improve system resilience

Requirements For Senior Infrastructure Engineer

Kubernetes
Python
Go
Linux
  • 5+ years of DevOps, SRE, or infrastructure engineering experience
  • Deep expertise in cloud environments (AWS, GCP)
  • Strong experience with containerization and orchestration (Docker & Kubernetes)
  • Strong awareness of networking concepts in AWS
  • Proficiency with infrastructure-as-code tools (Terraform, Helm)
  • Strong software engineering skills in Python, Go, and Bash
  • Experience designing monitoring systems (Prometheus, Datadog, Grafana)
  • Strong understanding of security and scaling best practices
  • Willingness to work long hours (8am-7pm)
  • In-person in San Francisco four days a week

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