Python AI Platform Engineering Manager

EPAM Systems Inc; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

EPAM Systems Inc. seeks a Python Software Engineering Manager to lead an AI-powered financial assistant platform. You will guide a senior team and collaborate with technical stakeholders to ship chat, reporting, and customized interfaces into investment workflows.

You will design systems, own delivery end-to-end, and drive architecture decisions while adopting new languages and technologies as the stack evolves. Strong Python, React, AWS and AI tooling are essential.

Qualifications

• 8+ years hands-on software development in Python/React or similar.
• Willingness to learn Python quickly if not proficient.
• Hands-on with FastAPI, AWS, Kubernetes and Terraform.
• Autonomous, capable of end-to-end task delivery from analysis to design.
• Comfort in a startup-like environment with continuous learning.
• High standards for quality and reliability in software delivery.

Responsibilities

• Collaborate with a small, capable team in a startup-style setting.
• Partner directly with technical stakeholders without non-technical inputs.
• Translate high-level tasks into low-level requirements with edge-case coverage.
• Design systems and deliver production-grade implementations with autonomy.
• Influence product direction and architect decisions.
• Adopt new languages and tech as the stack evolves.
• Optimize AI apps for quality, latency, reliability, and cost.
• Review and test AI-generated code produced by coding agents.
• Monitor AI behavior in production and perform failure analysis.

Skills

Python

React (TS)

Autonomy

English (C1+)

AI-assisted coding

Software architecture

Quality engineering

Edge-case reasoning

Tools

FastAPI

AWS

Kubernetes

Terraform

Job description

EPAM Systems Inc. seeks a Python Software Engineering Manager to lead an AI-powered financial assistant platform. You will guide a senior team and collaborate with technical stakeholders to ship chat, reporting, and customized interfaces into investment workflows.

You will design systems, own delivery end-to-end, and drive architecture decisions while adopting new languages and technologies as the stack evolves. Strong Python, React, AWS and AI tooling are essential.