Python Devops Engineer

Python Devops Engineer

6+ months Contract

100% Remote

We’re rebuilding the core of our post-trade processing systems to make them modular,

scalable, and cloud-ready. This means working with existing legacy code that runs on-prem and

re-architecting services for performance, scale, observability, and resilience.

If you enjoy tackling deep engineering problems, optimizing high-throughput processes, and

deploying services into Kubernetes clusters at scale, this is the team for you. This role is

essential to ensuring the accuracy, integrity, and availability of trade processing, reconciliations,

and reporting systems during non-US hours. The team operates in a you build it, you run it

model.

What You’ll Do

• Transform legacy Python code into well-structured, scalable services.
• Dockerize and orchestrate services in Kubernetes, ensuring fault-tolerance, retries, and
• observability.
• Optimize relational databases (PostgreSQL/MySQL) to power high-volume, end-of-day
• transactional workloads.
• Own critical batch jobs that interface with exchanges, FCMs, and internal financial
• systems—delivering accurate, timely processing.
• Collaborate with Platform team to define CI/CD pipelines, Kubernetes deployments, and
• performance dashboards.
• Take end-to-end ownership of services running during India business hours when US
• teams are offline to support 24 x 7 trading.
• Monitor and support back office trading processes, including trade capture, allocations,
• reconciliations, and settlement workflows.
• Investigate and resolve exceptions, processing errors, and system issues.
• Support end-of-day processes and ensure reports are generated and delivered on
• schedule.

Required Qualifications

• 8+ years of professional experience with at least 5+ years in Python development.
• Deep hands-on experience with Docker and Kubernetes in production in a cloud-based
• environment.
• Strong understanding of relational databases, including performance tuning and
• optimization for transactional workloads.

• Proven ability to re-architect and scale legacy services for containerized environments.
• Comfort in Linux/Unix environments, with solid scripting and troubleshooting skills.
• Proficiency with Git, CI/CD workflows, and monitoring/logging best practices.

Preferred Skills:

• Experience in post-trade, clearing, or financial back-office systems.
• Familiarity with FIX or other exchange data protocols.
• Exposure to Terraform, Helm, or other Infrastructure-as-Code tooling.
• Experience working in high-autonomy, outcome-driven environments.
• Familiarity with REST APIs, or message queues (e.g., Kafka, RabbitMQ).