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Farsight

Platform Engineer

New York City$140k–$180kfulltimemidAdded 2 weeks ago

About this role

Farsight AI seeks a Cloud Infrastructure Engineer to design and manage scalable cloud infrastructure supporting AI-powered financial services products. You'll architect AWS deployments, optimize CI/CD pipelines, and ensure security and reliability for premier financial institutions.

What you'll do

  • Architect and deploy cloud infrastructure for generative AI workloads at scale
  • Optimize CI/CD pipelines and deployment processes
  • Design infrastructure-as-code solutions using AWS CDK and CloudFormation
  • Implement monitoring, logging, and observability strategies for system reliability
  • Manage multi-tenant and customer VPC deployments with security compliance
  • Orchestrate microservice architectures and identify optimization opportunities

What they're looking for

  • AWS services (ECS, EC2, Lambda, S3, RDS, IAM, CloudWatch)
  • Infrastructure-as-code (AWS CDK, CloudFormation)
  • CI/CD pipeline management (AWS CodePipeline, GitHub Actions, Jenkins)
  • Docker containerization and Kubernetes orchestration
  • gRPC and microservice architecture
  • Security and compliance in regulated industries
  • Monitoring and observability tools
  • Cost optimization and performance tuning

Benefits

  • Salary: $140,000–$180,000 annually
  • Comprehensive medical, dental, and vision insurance
  • Unlimited PTO
  • In-person Manhattan office (4 days/week, Fridays remote)
  • Work with leading fintech AI platform
  • Collaborative team with founders and engineers from top firms
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Farsight

Farsight builds an agentic AI platform designed to automate complex workflows for financial services clients including investment banks and private equity firms. The company is hiring Software Engineers to design and implement scalable, production-ready technical systems in a customer-driven environment.

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Likely interview questions

  • Walk us through your experience architecting and deploying cloud infrastructure for AI workloads at scale. What were the key challenges and how did you address them?
  • Describe your hands-on experience with AWS services like ECS, Lambda, and RDS. Which have you used most extensively, and in what context?
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