Senior Member, Tech Ops (DESIM)

DE Shaw India · Hyderabad · 3–5 yrs experience · Posted 2026-02-03

Tech stack: Java, Linux, Python, Unix

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About the role

The DESIM (D. E. Shaw Investment Management) group at D. E. Shaw and Co. is looking for a competent contributor to join our Tech Ops team. This team works with our New York counterparts to support a wide variety of tools and financial datasets for the DESIM group. We are looking to hire a Senior Member, Tech Ops for the role of Operations in the DESIM team, based out of Hyderabad.

Responsibilities:
- You will provide day-to-day technical operations support for production systems.
- You will monitor, triage, and resolve issues quickly — reviewing logs, analyzing errors, and debugging across application, data, and system layers — while supporting software deployments and configuration changes with minimal impact to users and the business.
- You will take ownership of issues end-to-end and use excellent cross-functional communication skills to coordinate with engineering, infrastructure, business users, and external partners during critical incidents, including third-party data vendors.
- You will document issues, actions, and outcomes clearly for broader team awareness.
- You will also bring hands-on scripting ability, with familiarity using LLMs or AI-assisted tools, to automate repetitive manual tasks, reduce operational toil, and improve operational efficiency.

Qualifications:
- A bachelor's degree in Computer Science, Information Technology, or a related field
- 3 to 5 years of experience in technical operations, production support, or L2/L3 application support for business-critical systems
- Experience working in Linux/Unix environments
- Hands-on experience with shell scripting
- Proficiency in at least one programming language, such as Python or Java
- Experience using source control tools such as Gi
- Exposure to CI/CD, deployment, monitoring, and automation tools is a plus
- Solid understanding of incident management, root cause analysis, and production support best practices
- Exceptional software debugging skills, attention to detail, and the ability to prioritize effectively in a dynamic environment
- Excellent interpersonal and communication skills, with the ability to collaborate effectively with technical and business stakeholders
- Prior experience in the finance domain

Qualifications

- A bachelor's degree in Computer Science, Information Technology, or a related field
- 3 to 5 years of experience in technical operations, production support, or L2/L3 application support for business-critical systems
- Experience working in Linux/Unix environments
- Hands-on experience with shell scripting
- Proficiency in at least one programming language, such as Python or Java
- Experience using source control tools such as Gi
- Exposure to CI/CD, deployment, monitoring, and automation tools is a plus
- Solid understanding of incident management, root cause analysis, and production support best practices
- Exceptional software debugging skills, attention to detail, and the ability to prioritize effectively in a dynamic environment
- Excellent interpersonal and communication skills, with the ability to collaborate effectively with technical and business stakeholders
- Prior experience in the finance domain

Responsibilities

- You will provide day-to-day technical operations support for production systems.
- You will monitor, triage, and resolve issues quickly — reviewing logs, analyzing errors, and debugging across application, data, and system layers — while supporting software deployments and configuration changes with minimal impact to users and the business.
- You will take ownership of issues end-to-end and use excellent cross-functional communication skills to coordinate with engineering, infrastructure, business users, and external partners during critical incidents, including third-party data vendors.
- You will document issues, actions, and outcomes clearly for broader team awareness.
- You will also bring hands-on scripting ability, with familiarity using LLMs or AI-assisted tools, to automate repetitive manual tasks, reduce operational toil, and improve operational efficiency.

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