Devops Engineer, Surveillance

Devops Engineer Surveillance

A Career with Point72s Surveillance Team

Point72s Surveillance team sets the industry standard for intelligence-driven surveillance by proactively identifying monitoring and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments actionable recommendations and real-time escalations. At Point72 members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws internal compliance policies and procedures and relevant rules and regulations enforced by the SEC FINRA and other organizations.

WHAT YOULL 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

WHATS REQUIRED

• Bachelors 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
• Volunteer opportunities
• Support for employee-led affinity groups representing women people of color and the LGBT community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industrys brightest talent by cultivating an investor-led culture and committing to our peoples long-term growth. For more information visit annual base salary range for this role is $160000-$250000 (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.