Agency:Flywheel
Job Function:Account Management and Growth
Job Subfunction: Account Management
Job Description:The Opportunity In this role, you will support our Perpetua product, which focuses on the seller and SMB market segment within the Flywheel portfolio. Perpetua provides growth optimization and reporting technology for the world's smartest eCommerce businesses. Through the platform, brands and sellers create goals based on strategy and rely on Perpetua's best-in-class, always-on optimization to execute tactically. Amazon Ads is a $40B business today and every retailer on the planet is replicating the Amazon playbook, we've already transformed the way businesses approach e-commerce and online advertising and we're ready to continue growing.
As a Senior Software Engineer - Full Stack with Perpetua, you will contribute to our core platform built primarily with Python, Django, React, TypeScript, BigQuery, and GCP. You will help build scalable systems and intuitive user experiences that power advertising optimization and analytics for thousands of eCommerce brands across Amazon, Walmart, Instacart, and emerging retail media platforms.
We are looking for engineers who embrace modern AI-assisted software development practices and can leverage tools such as Claude Code, and other AI coding assistants to accelerate development while maintaining high engineering standards.
What You'll Do: - Build and maintain backend services and APIs using Python and Django, as well as customer-facing applications using React and TypeScript.
- Design and implement scalable data pipelines that process terabytes of advertising and commerce data.
- Develop features across the full stack, from data ingestion and processing to intuitive user interfaces and customer-facing functionality.
- Design, build, and optimize data models and analytics workflows using BigQuery and cloud-native technologies.
- Contribute to architecture decisions for distributed systems and modern web applications running on Google Cloud Platform (GCP).
- Collaborate closely with Product, Design, Data Science, and Engineering teams to deliver customer value.
- Use AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot to improve productivity, code quality, and engineering velocity.
- Participate in technical design discussions, RFCs, code reviews, and mentoring of other engineers.
- Continuously improve system reliability, scalability, observability, security, and frontend performance.
- Help establish engineering best practices around AI-assisted software development.
Who You Are: - 5+ years of professional software engineering experience building and operating production systems.
- Strong experience with Python and modern backend frameworks, preferably Django.
- Strong experience building modern web applications with React and TypeScript.
- Experience building scalable cloud applications on GCP.
- Strong understanding of distributed systems, microservices architecture, and event-driven systems.
- Experience working with large-scale data platforms and analytics systems, including BigQuery or similar data warehouses.
- Proficiency with relational databases (PostgreSQL, MySQL, Cloud SQL) and data modeling.
- Experience designing and consuming RESTful APIs and asynchronous processing systems.
- Practical experience using AI-powered software development tools such as Claude Code, Cursor, GitHub Copilot, Windsurf, or equivalent.
- Ability to effectively leverage LLMs for software design, coding, testing, debugging, documentation, and developer productivity.
- Strong understanding of software engineering fundamentals, including algorithms, data structures, OOP, testing, design patterns, and frontend application architecture.
- Experience with CI/CD pipelines, automated testing, and modern DevOps practices.
- Excellent written and verbal communication skills.
- Comfortable working in a highly collaborative, distributed, and agile environment.
Nice to Have: - Deep experience with React, TypeScript, modern frontend tooling, and UI performance optimization.
- Experience with data engineering, ETL pipelines, and large-scale analytics workloads.
- Experience with machine learning systems, LLM integrations, or AI-powered products.
- Experience mentoring engineers and leading technical initiatives.
- Contributions to open-source projects or strong technical community involvement.
Flywheel Commerce Network is committed to fair and equitable compensation practices. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.
Working at FlywheelWe are proud to offer all Flywheelers a competitive rewards package and unparalleled career growth opportunities and a supportive, fun and engaging culture.
- We have office hubs across the globe where team members can go to feel productive, inspired, and connected to others - team members go into Hub Offices 3x a week
- Competitive paid time off, including annual leave plus paid public holidays
- Great learning and development opportunities
- Benefits that help you live your best life
- Parental leave and benefits
- Volunteering opportunities
- If you're looking to connect with teammates on a topic of inclusion and identity, chances are there's an ERG for that.
- So you know: The hired candidate will be required to complete a background check
- Learn more about us here: Life at Flywheel
The Interview Process:Every role starts the same, an introductory call with someone from our Talent Acquisition team. We will be looking for company and values-fit as well as your professional experience; there may be some technical role-specific questions during this call.
Every role is different after the initial call, but you can expect to meet several people from the team 1:1 and there might be further skill assessments in the form of a Take Home Assignment/Case Study Presentation or Pair Programming/Live Coding exercise depending on the role. In your initial call, we will walk you through exactly what to expect the process to be.
$120,000 - $160,000 CAD
To the extent permissible by local law, Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.
