What are the responsibilities and job description for the Forward Deployed Engineer position at Recruiting from Scratch?
Who is Recruiting from Scratch:
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients.
https://www.recruitingfromscratch.com/
Forward Deployed Engineer
- Location: New York City (Remote)
- Company Stage of Funding: Series A/B Venture-Backed Startup
- Office Type: Remote
- Salary: $120,000 - $160,000 DOE
Company Description
Our client is an ambitious AI startup revolutionizing financial services through innovative AI thought partners that make professionals smarter and more creative. They're experiencing exceptional traction with the world's largest investment banks, hedge funds, and private equity firms. With a lean, incredibly talented team working from their beautiful NYC headquarters, they're rapidly growing and positioned to become a dominant force in Financial AI.
What You Will Do
- Deploy and customize Kubernetes-based applications across diverse environments, including SaaS offerings and customer-managed infrastructures
- Design, implement, and maintain cloud infrastructure on AWS and/or Azure with a focus on high availability and resilience
- Set up and manage comprehensive monitoring solutions using Datadog to proactively identify and address system issues
- Oversee Kubernetes clusters and utilize Helm for efficient package management and deployment automation
- Develop and maintain Infrastructure as Code (IaC) using Terraform, and create automation scripts in Python or Bash
- Collaborate cross-functionally with sales, development, and operations teams to understand requirements and ensure seamless integration
- Troubleshoot complex issues related to operating systems, networking, and databases in cloud environments
- Document system configurations, procedures, and troubleshooting processes
Ideal Candidate Background
- Bachelor's degree in Computer Science, Information Technology, or related field
- 1-3 years of hands-on experience with AWS and/or Azure cloud platforms
- 1-2 years managing Kubernetes clusters in production environments
- 1-2 years working with Datadog or similar monitoring tools
- 1-3 years of Linux system administration and shell scripting experience
- 1-2 years working with Infrastructure as Code (IaC) tools like Terraform
- Proficiency in Python and Bash scripting
- Strong understanding of networking fundamentals (TCP/IP, DNS, load balancing)
- Experience with CI/CD pipelines and tools (Jenkins, GitLab CI, GitHub Actions)
- Knowledge of cloud-native security best practices
Preferred Qualifications
- Experience with Helm for Kubernetes package management
- Familiarity with vector databases and search technologies like Elasticsearch
- Knowledge of Rust programming language
- Relevant certifications in AWS, Azure, or Kubernetes
- Previous customer-facing technical support experience
Why This Opportunity Stands Out
- Work with cutting-edge AI technology that's redefining what's possible in financial services
- Join a high-velocity environment where you'll constantly learn and tackle new challenges
- Be part of a team that values talent density and surrounds you with exceptionally smart, driven colleagues
- Help build powerful tools that make people smarter and reinvent knowledge sharing in finance
- Experience the excitement of a rapidly growing company with strong product-market fit
Salary : $120,000 - $180,000
