Skip to main content

Point72

Observability Engineer

United States$160k–$250kmidAdded 1 month ago

About this role

The Observability Engineer at Point72 will design and manage central observability platforms, utilizing open-source tools and cloud technologies to enhance decision-making processes. This role emphasizes professional growth within a supportive team environment, leveraging AI and agile methodologies to drive innovation in technology.

What you'll do

  • Architect and manage observability platforms
  • Develop telemetry pipelines for data processing
  • Implement open-source telemetry standards
  • Build scalable cloud-native storage architectures
  • Optimize telemetry performance and reliability
  • Drive root-cause analysis during incidents

What they're looking for

  • Bachelor's degree in relevant field
  • 4 years of software engineering experience
  • Proficiency in Python or Rust
  • Experience with CI/CD platforms like GitHub
  • Knowledge of cloud platforms (AWS, Azure, Google Cloud)
  • Familiarity with Terraform for infrastructure
  • Experience with Datadog and Splunk
  • Background in data analytics

Benefits

  • Fully-paid health care benefits
  • Generous parental and family leave
  • Mental and physical wellness programs
  • Tuition assistance
  • 401(k) savings program with employer match
  • Volunteer opportunities
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Point72

Point72 operates trading, data infrastructure, and investment management technology platforms that power systematic portfolio management and capital markets operations. The company is hiring infrastructure engineers, data reliability specialists, and software engineers to build and maintain mission-critical systems including data pipelines, network architectures, storage platforms, and research tools.

View all jobs at Point72

Likely interview questions

  • Walk us through your experience architecting and managing central observability platforms. What scale of telemetry data have you handled, and what challenges did you face?
  • Describe your experience with telemetry collection, processing, and routing pipelines. Which tools and technologies have you used, and how did you optimize for cost and performance?