DevOps Engineer, SurveillancePoint72 Asset Management, L.P • New York, New York, United States
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DevOps Engineer, Surveillance
Point72 Asset Management, L.P
- New York, New York, United States
- New York, New York, United States
About
What you’ll do
Lead the design and build of scalable data infrastructure and pipelines to power surveillance analytics, enabling rapid exploration and production deployment of signals and models
Build and operate infrastructure as code to provision, secure, and manage cloud resources and platform services with an emphasis on repeatability and automation
Design and maintain containerized platforms and orchestration layers to run analytics and machine learning workloads reliably and efficiently at scale
Develop and maintain CI/CD pipelines and ML lifecycle automation to accelerate model development, validation, deployment, and rollback
Implement and evolve observability, logging, and alerting across the stack to shorten time to detection and resolution for production incidents
Automate security controls, access management, and compliance checks within platform tooling to support regulated surveillance workflows
Collaborate closely with data scientists, analysts, and security teams to translate surveillance requirements into production-ready, maintainable systems
Optimize cloud cost, performance, and operational practices for large-scale data processing, storage, and model training workloads
Mentor engineers and contribute to platform best practices, documentation, and runbooks to drive continuous improvement and team impact
What’s required
Bachelor's degree in computer science, engineering, or a related technical field, or equivalent professional experience
5+ years of hands‑on experience in cloud infrastructure, DevOps, or platform engineering supporting production data or machine learning workloads
Proven, hands‑on experience with data warehouses and lakehouses such as Snowflake, Redshift, BigQuery, or Databricks
Strong command of Infrastructure as Code with Terraform and Terraform Enterprise
Proficiency in containerization with Docker or Podman, orchestration using Kubernetes, AWS EKS, or ECS Fargate, and implementation of GitOps principles and workflows
Hands‑on experience building CI/CD pipelines using GitHub Actions and automating model lifecycle using MLflow, Kubeflow, or Weights & Biases
Experience operating observability and monitoring stacks including Datadog, AWS CloudWatch, and the Grafana ecosystem (Grafana, Loki, Prometheus)
Extensive experience with AWS core services, including S3, EC2, Lambda, RDS, and EMR, and practical experience using Boto3 and AWS machine learning services such as SageMaker and Bedrock
Strong scripting and programming skills in Python and Bash and proven experience operating Linux-based production systems
Ability to work onsite in Stamford, CT and to communicate and troubleshoot effectively across cross‑functional, distributed teams
Commitment to the highest ethical standards
We take care of our people We invest in our people, their careers, their health, and their well‑being. When you work here, we provide:
Fully‑paid health care benefits
Generous parental and family leave policies
Mental and physical wellness programs
Volunteer opportunities
Non‑profit matching gift program
Support for employee‑led affinity groups representing women, minorities and the LGBT+ community
Tuition assistance
A 401(k) savings program with an employer match and more
About Point72 Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter‑century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk‑adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $160,000-$250,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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Languages
- English
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