Advanced Software Engineering Manager

EPAM Systems; Argentina; On-site; ARS 400,000 - 700,000; Full time

Benefits offered by this job

Healthcare benefits

LinkedIn Learning access

Global career opportunities

Volunteer and community involvement

Job summary

EPAM Systems in Argentina is seeking an Advanced Software Engineering Manager to lead an AI-powered assistant platform for institutional investment workflows. You will own end-to-end delivery in a high-autonomy environment and help ship reliable AI features quickly.

The role focuses on building Python-based backend services with FastAPI, deploying on AWS, Kubernetes, and Terraform, while ensuring code quality and scalable architecture.

Qualifications

• 7+ years of software engineering experience
• Strong autonomy and self-governance for ambiguous tasks
• System design experience for scalable architectures
• Hands-on FastAPI experience or equivalent Python frameworks
• Cloud experience with AWS
• Container orchestration with Kubernetes
• Infrastructure as Code with Terraform
• High quality and reliability standards for production systems
• AI-assisted programming experience using Gen AI methods
• LLM experience integrating AI capabilities
• Advanced English proficiency (C1)

Responsibilities

• Design end-to-end systems for an AI-powered assistant platform used in investment workflows
• Build backend services in Python using FastAPI to deliver chat, reporting, and workflow features
• Implement and ship LLM-powered capabilities with focus on correctness and reliability
• Define low-level requirements by partnering with business users
• Develop APIs and integrations for bespoke interfaces and rapid iteration
• Deploy and operate services using AWS with Terraform management
• Run and scale workloads on Kubernetes with observability and resilience
• Maintain high code quality through reviews and testing
• Coordinate within a small hands-on engineering team
• Adapt quickly to new technologies as the product stacks evolve

Skills

Python

Autonomy

System design

LLM integration

Gen AI

English (C1)

Tools

FastAPI

AWS

Kubernetes

Terraform

Job description

We are looking for an Advanced Software Engineering Manager to build a next-generation AI-powered assistant platform that embeds chat, reporting, and bespoke interfaces into institutional investment workflows. You will own end-to-end delivery in a high-autonomy environment and help ship reliable AI features quickly.

Responsibilities

• Design end-to-end systems for an AI-powered assistant platform used in investment workflows
• Build backend services in Python using FastAPI to deliver chat, reporting, and workflow features
• Implement and ship LLM-powered capabilities with strong focus on correctness and reliability
• Define low-level requirements by partnering with sophisticated business users and translating needs into solutions
• Develop APIs and integrations that support bespoke interfaces and rapid product iteration
• Deploy and operate services using AWS with infrastructure managed via Terraform
• Run and scale workloads on Kubernetes with production-grade observability and resilience
• Maintain a high bar for code quality through reviews, testing, and careful edge-case handling
• Coordinate within a small, hands-on engineering team to deliver outcomes with minimal process overhead
• Adapt quickly to new technologies and approaches as the product and stack evolve

Requirements

• 7+ years of software engineering experience with Python or similar languages
• Strong autonomy and self-governance skills for ambiguous, high-level tasks
• System design experience producing scalable, reliable architectures
• Hands-on FastAPI experience or strong experience with comparable Python frameworks
• Cloud platform experience with Amazon Web Services
• Container orchestration experience with Kubernetes
• Infrastructure as Code experience with Terraform
• High quality and reliability standards for production systems
• AI-assisted programming proficiency using Gen AI Assisted Development methods and tools
• Large Language Models (LLM) experience integrating and validating AI capabilities
• Advanced English proficiency (C1)

Nice to have

• ReactJS
• Next.js
• Node.js
• JavaScript
• Anthropic Claude Code

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