We're building Al thought partners to make people smarter and more creative, accelerating the creation and sharing of knowledge in financial services. We're unabashedly ambitious, and we're dead set on building the biggest Financial AI company in the world. Our team is lean, smart, and enormously ambitious. We're growing fast out of our beautiful office in NYC.
Exceptional traction: strong PMF with the world's largest investment banks, hedge funds, and private equity firms.
World-class team : we take talent density seriously. We like working with incredibly smart, driven people.
Velocity: we work fast, which means you learn a lot and constantly take on new challenges.
Frontier technology: we're developing cutting-edge AI systems, pushing the boundaries of published research, redefining what's possible, and inventing the future.
Cutting Edge Product: Our platform is state-of-the-art and crazily powerful. We're creating tools that make people smarter, reinventing how you discover, create, and share knowledge.
Key Responsibilities:
Infrastructure Management: Design, deploy, and maintain cloud infrastructure on AWS and/or Azure, ensuring high availability and resilience.
Monitoring and Performance: Implement and manage monitoring solutions using Datadog to proactively identify and address system issues.
Container Orchestration: Manage Kubernetes clusters, utilizing Helm for package management and deployment automation.
Automation and Scripting: Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, and create automation scripts in Bash or Python to streamline operations.
Collaboration: Work closely with development and operations teams to propagate DevOps culture, share best practices, and ensure seamless integration and deployment processes.
Incident Response: Troubleshoot and resolve complex cross-platform issues related to OS, networking, and databases in a cloud-based environment.
Documentation: Maintain comprehensive documentation of system configurations, procedures, and troubleshooting guides.
Qualifications:
Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience:
Skills:
Preferred Qualifications:
Experience with MLOps monitoring and observability.
Experience with PostgreSQL, Elasticsearch, and vector databases such as Qdrant or similar technologies.
Experience with monitoring and security tools such as Datadog, AWS GuardDuty, CloudWatch, and CloudTrail.
Certifications in AWS, Azure, or Kubernetes.
Experience with other cloud platforms like Google Cloud Platform (GCP).
Experience with distributed tracing and observability tools.
You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a start-up
You are ambitious. You have fun solving problems that others think are impossible.
You are curious. You find joy in learning about AI, technology, and finance
You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity
You are collaborative, organized, and thoughtful .
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