Senior Python Engineer (AWS, AI-Assisted SDLC)

EPAM Systems; Australia; In loco; AUD 160.000 - 210.000; Tempo pieno

Descrizione del lavoro

EPAM Systems Inc. is seeking a Senior Python Engineer to build cloud-native surveillance analytics on AWS. You will develop APIs and microservices to process large datasets and surface patterns in real-time.

You will integrate AI/ML models into production, leverage AI-assisted tools like GitHub Copilot to accelerate delivery, and contribute to CI/CD pipelines and DevOps practices while maintaining high quality in fast-moving teams.

Competenze

• Production-grade Python for data-intensive apps.
• Experience building APIs and microservices at scale.
• Strong knowledge of AWS data services and SQL queries.

Mansioni

• Build cloud-native Python services for surveillance analytics and monitoring workflows.
• Develop APIs and microservices to process large datasets and market data.
• Implement data processing and analytics features using SQL and cloud data services.
• Integrate ML models into production services with proper controls and monitoring.
• Design and deploy solutions on AWS using serverless and container patterns.
• Improve delivery speed using AI-assisted tooling and CI/CD pipelines.
• Support DevOps practices and operational readiness.

Conoscenze

Python

AWS

API design

Microservices

SQL

ML integration

CI/CD

DevOps

GitHub Copilot

Data processing

Strumenti

Lambda

S3

ECS/EKS

Glue

Descrizione del lavoro

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