Level

Point72

Database Support Engineer

AI in this role

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

As Database Support Engineer, you’ll support various critical database platforms across Development, QA, UAT, and Production environments. The role partners closely with
application teams, application support, and database engineers and operates within a 
Follow‑the‑Sun model to ensure availability, performance, and reliability of database 
services. Key responsibilities include:

• Provide operational support for enterprise database platforms in both on-prem 
private cloud and public cloud
• Monitor database health, capacity, performance, and availability, and respond to 
alerts, diagnose issues, and perform timely remediation
• Perform routine maintenance activities (patching, upgrades, housekeeping etc)
• Troubleshoot database‑related incidents and collaborate on root cause analysis
• Work closely with application owners, application support teams, and DB Engineers
• Provide guidance on database best practices and operational standards
• Participate in cross‑team problem resolution and continuous improvement 
initiatives
• Contribute to design, implementation and testing of automation and self service 
capabilities of DB platforms
• Drive continuous improvement, identifying opportunities to reduce toil and increase 
platform efficiency.
• Participate in a Follow‑the‑Sun operating model, including shift‑based coverage and 
handoffs

WHAT’S REQUIRED

• Bachelor’s degree in Computer Science, Engineering, or related technical field; 
advanced degree a plus.
• 7+ years of experience in database administration and infrastructure engineering
• Strong experience delivering services on multiple database technologies (e.g., SQL 
Server, PostgreSQL, MongoDB, Sybase etc.).
• Strong knowledge about cloud‑based database services (eg AWS Aurora, RDS DB, 
EC2, EBS, S3 etc)
• Hands-on expertise with scripting (eg PowerShell, Korn Shell, Python or equivalent)
• Strong knowledge of observability tooling and operational monitoring design
• Strong ability to troubleshoot under pressure and strong ownership and 
accountability mindset
• Strong ability to work effectively across time zones and teams
• Excellent communication skills and passion for building scalable, reliable, self 
service platforms

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:

• Health care benefits
• Maternity, Adoption & related leave policies
• Generous paternity and family care leave policies
• Employee Assistance Program & Mental wellness programs
• Transportation support
• Tuition assistance

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 industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/

 

 

How we rate this

Database Support Engineer at Point72 rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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