Senior Python Engineer (Aws, Ai-Assisted Sdlc)

EPAM Systems Inc; New South Wales; On-site; AUD 150,000 - 210,000; Full time

Job summary

EPAM Systems Inc. seeks a Senior Python Engineer to build cloud-native analytics and monitoring services on AWS, applying AI-assisted development practices.

You will design APIs and microservices to handle large datasets, integrate ML models, and contribute to CI/CD and DevOps processes. The role focuses on data-intensive applications, using Python and AWS services such as Lambda, S3, Glue, Athena and Redshift, with a bias toward scalable, production-ready systems and fast delivery in a

Qualifications

• Proficient in Python for production data-intensive apps.
• Experience with AWS services (Lambda, ECS/EKS, S3, Glue, Athena/Redshift).
• Strong SQL for large-scale data processing.
• API and microservices engineering in distributed systems.
• ML exposure: integrating analytical models into production.
• DevOps/CI-CD for automated build, test and release workflows.
• AI-assisted development with GitHub Copilot or similar tools.
• Problem-solving in fast-moving delivery teams with high quality standards.

Responsibilities

• Build cloud-native Python services to support surveillance analytics and monitoring workflows.
• Develop APIs and microservices that process high-volume trading and market data.
• Implement data processing and analytics features using SQL and cloud data services.
• Integrate machine learning models into production services with controls and monitoring.
• Design and deploy solutions on AWS using serverless and container patterns.
• Improve delivery speed and quality using AI-assisted development tools such as GitHub Copilot.
• Contribute to CI/CD pipelines, DevOps practices and operational readiness.
• Collaborate with teams to deliver changes with minimal ramp-up time.

Skills

Python

AWS

AWS Lambda

AWS ECS

AWS EKS

S3

Glue

Athena

Redshift

SQL

API design

Microservices

Distributed systems

ML integration

DevOps

CI/CD

GitHub Copilot

Problem solving

Tools

Lambda

ECS

EKS

S3

Glue

Athena

Redshift

Job description

We are seeking a Senior Python Engineer (AWS, AI-Assisted SDLC). You will build cloud-native surveillance analytics and monitoring capabilities that surface patterns and anomalies across large datasets. You will develop APIs and microservices on Amazon Web Services (AWS), integrate AI and machine learning models into production and use AI-assisted tools such as GitHub Copilot to speed up delivery.

Responsibilities

• Build cloud-native services in Python to support surveillance analytics and monitoring workflows
• Develop APIs and microservices that process high-volume trading and market data
• Implement data processing and analytics features using SQL and cloud-based data services
• Integrate machine learning models into production services with appropriate controls and monitoring
• Design and deploy solutions on Amazon Web Services (AWS) using serverless and container patterns
• Improve delivery speed and quality using AI-assisted development tools such as GitHub Copilot
• Contribute to CI/CD pipelines, DevOps practices and operational readiness
• Collaborate with existing teams to deliver changes with minimal ramp-up time

Requirements

• Python skill sets building production services for data-intensive applications
• Amazon Web Services (AWS) experience using services such as Lambda, ECS or EKS, S3, Glue, Athena or Redshift
• SQL capability and experience handling large-scale data processing
• API and microservices engineering background in distributed systems
• Machine learning exposure, including integrating analytical models into production environments
• DevOps and CI/CD understanding for automated build, test and release workflows
• AI-assisted development experience using GitHub Copilot or similar tooling
• Problem-solving ability in fast-moving delivery teams with strong quality standards

Nice to have

• Experience in financial markets, trading surveillance or regulatory technology environments
• Kafka or similar real-time streaming technologies
• Cloud-native architecture experience for distributed, event-driven systems
• Background building analytics, monitoring or data intelligence platforms