Operational Engineer

Capgemini; New York (NY); On-site; USD 48,000 - 75,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement plan

Job summary

Tundra Technical Solutions is seeking an experienced engineer to proactively identify bottlenecks in the trading cycle and build automated solutions to boost desk efficiency and system reliability.

You will provide expert troubleshooting for production trading systems, ensuring 24/7 high availability during volatile market conditions and translating complex pricing models into robust, production-grade code for real-time pricing and risk management.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field.
• Strong CS fundamentals, data structures, algorithms, and system design.
• Expert in Python, Spark, and SQL with ability to write clean, scalable code.

Responsibilities

• Operational Engineering: identify and resolve bottlenecks in trading lifecycles and build automated solutions.
• Realtime Support: troubleshoot production trading systems to ensure 24/7 high availability and performance.
• System Architecture Optimization: design and maintain high-performance tech and data stack for market making.
• Algorithmic Implementation: translate pricing models into robust production-grade code for real-time pricing and risk management.

Skills

Python

Spark

SQL

Education

Bachelor's or Master's in CS/CE

Tools

CI/CD

Git

Performance profiling

Job description

Operational Engineering- Proactively identify and resolve technical bottlenecks in the trading lifecycle build automated solutions to enhance desk efficiency and system reliability

Realtime Support- Provide expert level technical troubleshooting for production trading systems ensuring 247 high availability and performance in volatile market conditions

System Architecture Optimization- Design build and maintain the high performance tech and data stack powering our systematic block market making business

Algorithmic Implementation- Translate complex quantitative pricing models and business logic into robust production grade code for real time pricing and risk management

Qualifications:

• Education- Bachelors or Masters degree in Computer Science Computer Engineering or a related technical field A strong foundation in CS fundamentals data structures algorithms and systems design is essential
• Core Languages- Expert level proficiency in Python Spark and SQL You should be comfortable writing clean scalable and testable code
• Engineering Best Practices- Deep understanding of software engineering lifecycles including CICD version control Git and performance profiling

The pay range that the employer in good faith reasonably expects to pay for this position is $34.73/hour - $54.27/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.