Senior Software Engineer - Data Engineering

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce Network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. 

The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.

At Rokt, we practice transparency in career paths and compensation.

At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

We are looking for a Senior Software Engineer - Data Engineering

Compensation: $175,000-$235,000 including superannuation, employee equity plan grant & world class benefits.

We're currently looking for a senior engineer to join our Identity team, who are on the cutting edge of software engineering and mathematics, building out some of the most unique and scaleable systems utilising graph theory currently being built. For this role we’re looking for someone with strong back end engineering experience, specifically with large scale data and complex systems. This team thrives in turning ambiguity into clarity, being able to connect the dots of over 2 billion edges into usable, highly relevant data that feeds directly into our market-leading machine learning systems.

About the Role:

• Build and scale complex software systems built on machine learning, graph theory and large scale data
• Solve technical problems of the highest scope, complexity, and ambiguity as an individual contributor
• Proactively identify and propose improvements to the current system architecture that emphasises performance, reliability and scalability
• Act as both an engineer and system architect, as this team is constantly researching and developing new theories and ways of working
• Work directly with ML teams to productionise and utilise your work in real time.

About You:

• 7+ years experience as a software engineer, ideally working with and around large amounts of data
• Solid experience using Go, Python or Scala is ideal, but any strong back end experience is fine.
• Familiarity working with complex, distributed systems and cloud-based infrastructure
• Ability to turn ambiguity into clarity, and being comfortable treading new ground
• Exposure to, or knowledge of, machine learning, graph theory or algorithms would be a great fit