We're working with a leading global independent investment management firm that offers comprehensive investment capabilities across a wide range of asset classes. They focus on delivering tailored investment solutions to institutional clients in over 60 countries, driven by robust proprietary research and a collaborative culture. Their private partnership structure fosters a long-term view, aligning their interests with their clients.

The Role

• Build and support components of the trading platform in partnership with trading and technology teams leveraging AI-assisted development tools
• Design and maintain CI/CD pipelines for reliable and efficient software delivery, incorporating AI-assisted automation and validation
• Develop infrastructure and automation in AWS using Infrastructure as Code and AI-assisted tooling
• Improve system reliability through monitoring, alerting, and operational best practices, applying AI-driven insights
• Troubleshoot production issues, perform root-cause analysis, and contribute to continuous improvement, leveraging AI-assisted diagnostics
• Partner with developers, QA, and architecture teams to ensure scalable, secure, and performant solutions, using AI tools to enhance collaboration
  
  

What You'll Need

• Bachelor's degree in Computer Science, Engineering, or a related field
• 2+ years of experience in software engineering, DevOps, or related roles
• Proficiency in at least one programming language (Python preferred)
• Experience with cloud platforms (AWS preferred) and cloud-native concepts
• Proficiency with CI/CD tools (e.g., Jenkins, GitHub Actions) and source control (Git)
• Exposure to infrastructure automation and Infrastructure as Code (e.g., Terraform, CloudFormation)
  
  

What's On Offer

• Competitive base salary of $80,000 - $150,000 per year
• Discretionary Corporate Bonus and/or Incentives
• Comprehensive and high-value benefits package (retirement plan, health, dental, vision, life, disability insurance)
• Flexible work environment and a focus on continuous learning
  
  

Apply via Haystack today!