AI and DevOps Engineer – Human Capital

The D. E. Shaw Group; New York (NY); Presencial; USD 150.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Year-end bonus

Medical coverage

401(k) match

Wellness reimbursement

Family building benefits

Charitable gift match

Descripción de la vacante

The D. E. Shaw Group seeks an AI and DevOps engineer to join the HC GAI team, focusing on building, deploying, and operating generative AI tools for talent management.

You’ll keep data and AI infrastructure healthy, from back-end pipelines to user-facing reporting, in a fast-paced, collaborative environment. Responsibilities cover automated reporting products, ETL pipelines, monitoring, incident response, and prompt/version control for AI systems, with a strong emphasis on data visualization for

Formación

• Bachelor's degree in a technical field and at least 3 years of relevant experience in DevOps, data engineering, or AI operations.
• Fluency in Python, including data transformation and analysis; hands-on experience with Git and CI/CD pipelines.
• Experience deploying pipelines, environment setup, and developer onboarding, with prompt management in AI or ML environments.
• Awareness of data wrangling and visualization for senior audiences; people-analytics experience preferred.
• Ability to operate in ambiguous, fast-moving environments and coordinate work across cross-functional teams.

Responsabilidades

• Build, deploy, and maintain automated reporting products and dashboards in Python, plus ETL pipelines and data infrastructure.
• Manage release and testing for people-analytics tooling and data pipelines; onboard new developers.
• Ensure reliability of shared infrastructure with monitoring and incident response.
• Administer prompt versioning and change control for AI systems; investigate feature issues.
• Run AI model evaluations, migrations, and manage query logging with privacy safeguards.
• Maintain Claude skills and plugins for technical and non-technical users.

Conocimientos

Python

Git

CI/CD

Data wrangling

Data visualization

AI operations

DevOps

Educación

Bachelor's degree in a technical field

Herramientas

Git tooling

CI/CD tooling

Python tooling

Descripción del empleo

OVERVIEW:

The D. E. Shaw group seeks an AI and DevOps engineer to join its Human Capital Generative AI (HC GAI) team, which designs, builds, and operates generative AI solutions that transform how the firm attracts, assesses, develops, and retains talent. Working at the intersection of people strategy, product design, and emerging AI capabilities, the team delivers tools for both technical and non-technical users across the firm. This role serves as the operational backbone for HC GAI, keeping the team's shared data and AI infrastructure healthy and reliable, from back-end pipelines to developer tooling and user-facing reporting.

WHAT YOU'LL DO DAY-TO-DAY:

• Build, deploy, and maintain the HC GAI team's automated reporting products and dashboards, primarily in Python, along with the ETL pipelines and people-analytics data infrastructure behind them.


• Manage release and testing for people-analytics tooling and data pipelines, keep repositories healthy (CI checks, dependency updates), and onboard new developers.


• Ensure the reliability of HC GAI's shared infrastructure and applications by setting up monitoring and alerting, tracking usage, and leading incident response.


• Administer prompt versioning and change control for AI systems, including first-line investigation of feature issues.


• Run AI model evaluations, carry out migrations as models are updated or retired, and manage query logging and usage analytics with appropriate privacy safeguards.


• Maintain the team's Claude skills and plugins for both technical and non-technical users.

WHAT WE'RE LOOKING FOR:

• A bachelor's degree in a technical field and at least three years of relevant experience in DevOps, data engineering, or AI operations.


• Fluency in Python, including for data transformation and analysis, and hands-on experience with Git and CI/CD pipelines.


• Demonstrated experience managing deployment pipelines, environment setup, and developer onboarding, along with prompt management and troubleshooting in AI or machine learning environments.


• An affinity for data wrangling and finding the perfect way to visualize data for a senior audience; people-analytics experience is preferred.


• Proven ability to operate effectively in ambiguous, fast-moving environments, see how small details impact the bigger picture, and drive work forward across cross-functional dependencies.


• Excellent organizational and communication skills, along with the ability to partner with technical leads, support non-technical users, and exercise extreme discretion with confidential information.


• The expected annual base salary for this position is $150,000 to $200,000. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.