VAYUZ Technologies - Python Developer

Overview

We are looking for candidates with strong experience in Python development, Docker, Kubernetes, and microservices architecture, along with good knowledge of PostgreSQL/MySQL, Linux, and CI/CD pipelines. The role involves modernizing legacy systems and building scalable, cloud-ready services.

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 systemsdelivering 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.
  
  

• 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.
  
  

• 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).
  
  

(ref:hirist.tech)