Mid/Senior Backend Engineer (Python)

Who We AreEmployment Hero is on a mission to make employment easier and more valuable for everyone. Our Employment Operating System brings hiring, HR, payroll and benefits into an all-in-one solution. Since our inception in 2014, we've scaled to a $2 billion valuation and gained a presence in 6 countries globally - Australia, New Zealand, Singapore, Malaysia, the UK and Canada. We now service over 300,000 businesses and more than 2 million employees. The EH WayAt Employment Hero, we're proud of our unique DNA, which we call The EH Way. We are Mission First - everything we do (from what we work on, to how we allocate capital and where we focus) is driven by our Mission We are Remote First - we champion a remote environment with a preference for asynchronous communication and a high degree of autonomy We are AI First - we are committed to using AI to accelerate our mission; AI is not just a tool, it's a fundamental part of how we operate, innovate, and scale We are Apolitical - we do not take a position on political or social topics, unless it relates to our Mission We Live by Our Values - we role model our values 100% of the time We Expect High Performance - we set a high standard and we're not satisfied with being average This roleAs one of our Senior Python Engineers, you'll be accountable for building and deploying the innovative features that change our customers' lives every day. From our trailblazing AI hiring tool to our fully automated payroll solution, every component of our Employment Operating System is carefully designed to disrupt the employment industry for the better, improving the lives of business owners and entrepreneurs everywhere. Our world-class Product and Engineering teams delivered almost 1,000 new features last year. As one of our Senior Engineers, you'll play a vital role in the continued acceleration of our product strategy. Responsibilities Architect, develop, and maintain scalable and reliable backend systems to support machine learning infrastructure Collaborate with cross-functional teams to define requirements, design solutions, and implement features that underpin machine learning workflows Continuously optimize and enhance existing infrastructure to boost the performance and resilience of our machine learning models and data pipelines Work on data ingestion, processing, and storage systems to ensure the availability of high-quality data for training and inference Implement robust monitoring, logging, and alerting solutions to ensure the health and performance of our machine learning infrastructure Stay informed about the latest industry trends and emerging technologies in the fields of machine learning and data engineering Mentor and provide technical guidance to junior engineers, fostering a culture of learning and professional growth