Overview

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

Australia

  • By choosing ••••, you're getting a job at Great Place To Work-Certified™ in 2024, Glassdoor’s Top 100 Best Places to Work in 2023 & one of Most Loved Workplace, as recognized by Newsweek, 2021 - 2023.

  • Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.

  • You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.

  • We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey.

  • At ••••, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.

Australia (About ••••)

Life at ••••

- We are a leading global provider of digital platform engineering and development services that has rapidly grown in Australia since 2013.

- We adopt a global growth strategy, thinking and acting like start-ups, working in multi-disciplinary teams, and delivering results. With a multinational talented team, we have been delivering innovative solutions for cloud migration, cyber security, digital transformation, etc.  

- You will work in an open and friendly work environment where your professional skills and experience can stand out.

Australia+China+Hong Kong (How we hire)

• Here, we summarize the typical journey to finding a job within ••••.

• Apply and tell us about yourself!

• Go through some standard interviews:

  • General interview with a recruiter
  • Technical interview with our technology experts
  • Manager interview or Offer interview with a hiring manager

• Get ready to join the team!

• Not sure if you meet all the requirements? No problem. Let's talk anyway and find out more!

• It takes 1 min of application to start the journey with us. Apply now!