Python Developer

About the Company :

Amtex Systems is a global technology innovator with over 25 years of expertise. Specializing in Software Development, IT Consulting, Digital Media, Business Intelligence, Mobile Applications, and Content Management, Amtex is at the forefront of industry evolution. The company caters to diverse sectors, including Technology, Finance, Media, Fashion, Retail, and the Public Sector.

We seek individuals who thrive on experimentation, seize opportunities, and push boundaries to help bring our vision to life. As we work towards building a better world, we empower you to build your intellectual path. Come transform with us and elevate your career—where innovation meets opportunity.

Python Engineer- Working hours- Flexible as per India times

3 rounds of Interview-

INPERSON INTERVIEW IS MUST FOR FINAL ROUND-

Weekly once Onsite

Location - Pune

NEED MINIMUM 10+ YEARS OF EXPERIENCE

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

Required Qualifications

Proven ability to re-architect and scale legacy services for containerized environments.

Preferred Skills :