Python Software Engineering Manager

We are looking for a Python Software Engineering Manager to build an AI-powered financial assistant platform. You will partner with a small senior team and technical stakeholders to ship chat, reporting, and bespoke interfaces into investment workflows.

Responsibilities

• Collaborate with a small, highly capable team of hands-on engineers in a startup-style environment with minimal formality

• Partner directly with sophisticated technical stakeholders without needing to interface with non-technical clients or users

• Elicit low-level requirements from high-level task definitions and account for edge cases before implementation

• Design systems and deliver production-grade implementations with strong autonomy and self-governance

• Influence product direction and contribute to architecture decisions

• Build and maintain systems using cutting-edge technology without legacy constraints

• Adopt new languages and technologies as the team evolves its stack

• Optimize AI applications across quality, latency, reliability, and cost

• Review, test, and validate AI-generated code produced through coding agents

• Monitor AI behavior in production and perform failure analysis and regression testing

• Maintain a high bar for quality, reliability, security, and maintainability across deliverables

Requirements

• Proven track record in software development with 8+ years of hands-on experience in Python, React (TS), or other programming languages

• Strong willingness and readiness to learn Python quickly if you are not yet proficient

• Hands-on experience with FastAPI or other Python frameworks, plus AWS, Kubernetes, and Terraform

• High autonomy and self-governance to take loosely defined tasks from requirements gathering through design and delivery

• Comfort working in a startup environment with continuous learning of new languages and technologies

• High standards for quality and reliability in software delivery

• Solid experience with FE work, including TS/JS and React/NextJS/Node

• Practical proficiency in AI-assisted programming methods and tools, including coding agents for code generation

• Background in AI evaluation and quality engineering, including automated evaluations, test datasets, regression testing, and failure analysis

• Understanding of AI security and production controls, including data privacy, access control, prompt-injection risks, guardrails, and auditability

• Ability to optimize AI applications across quality, latency, reliability, and cost

• Capability to learn and adopt new technologies rapidly as the AI ecosystem evolves

• Advanced proficiency in English (C1+)

We offer

• International projects with top brands

• Work with global teams of highly skilled, diverse peers

• Healthcare benefits

• Employee financial programs

• Paid time off and sick leave

• Upskilling, reskilling and certification courses

• Unlimited access to the LinkedIn Learning library and 22,000+ courses

• Global career opportunities

• Volunteer and community involvement opportunities

• EPAM Employee Groups

• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn