IT Operations Engineer (Application Support) - AI & Data Technology

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

IT Operations Engineer (Application Support) - AI & Data Technology India IT Operations Engineer (Application Support) - AI & Data Technology A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company's IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What You'll Do • Own the day-to-day operational health of compliance approved AI and Data platforms in production, ensuring high availability, performance, and reliability • Monitor AI and Data services, model inference layers, APIs, and data dependencies using logs, metrics, dashboards, and alerts • Provide production-focused user support for AI tools and Data platforms, prioritizing issue resolution • Lead incident triage, coordination, and resolution for platform outages or service degradations, partnering with development and infrastructure teams. • Perform deep technical troubleshooting across applications, data, and system layers. • Enhance observability, alerting, and operational runbooks to reduce mean time to detect. (MTTD) and mean time to resolve (MTTR) incidents • Conduct post-incident root cause analysis and drive corrective and preventive improvements • Support production deployments, configuration changes, and platform upgrades with a strong focus on risk mitigation and stability • Automate repetitive operational tasks and support workflows using Python and other scripting tools • Collaborate closely

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