Senior Python Engineer - Real-Time Trading Platforms

Ashby; New York (NY); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Medical insurance (fully paid)

Dental insurance (fully paid)

Vision insurance (fully paid)

Disability insurance (fully paid)

Life insurance (fully paid)

401(k) with employer match

Paid vacation and parental leave

Tuition reimbursement

On-site meals

Job summary

Old Mission is hiring a Senior Python Software Engineer to build reliable, scalable systems for global trading. You will develop execution platforms and real-time trader-facing applications, integrating with trading systems and data infrastructure.

The role requires 5+ years of Python in production, strong Linux skills, and experience with databases or storage tech like Kafka, Ceph or Iceberg. On-site with a ten-day-per-year remote option supports flexible teamwork.

Qualifications

• Bachelor's degree required in CS/Math/Engineering or related field.
• Minimum 5 years of professional Python experience in production.
• Strong Python proficiency on Linux platforms.
• Familiar with relational databases and/or messaging/object storage (Kafka, Ceph, Iceberg).
• Excellent written and verbal communication; collaborative team player.

Responsibilities

• Develop and support execution platforms and trader-facing applications.
• Work on real-time data pipelines and large-scale data/research systems.
• Automate trader workflows and integrate with trading systems.

Skills

Python programming

Linux proficiency

Communication skills

Team collaboration

Education

Bachelor's degree in CS/Math/Engineering

Tools

Kafka

Ceph

Iceberg

Job description

Old Mission is hiring a Senior Python Software Engineer to build reliable, scalable systems for global trading. You will develop execution platforms and real-time trader-facing applications, integrating with trading systems and data infrastructure.

The role requires 5+ years of Python in production, strong Linux skills, and experience with databases or storage tech like Kafka, Ceph or Iceberg. On-site with a ten-day-per-year remote option supports flexible teamwork.