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, plus employee equity plan grant & world class benefits.
We're currently looking for a number of senior engineers to join our data engineering team, who are currently building a massive open-source data storage and ingestion platform to support the entire Rokt ecosystem. Ideally we're looking for someone with extensive experience running Apache Iceberg, Spark, Cassandra, Kafka, Trino and similar open-source platforms, but if you're a strong software engineer with experience with large-scale data systems, we'd love to talk.
About the Role:
- Build and scale complex data systems built on open-source technologies like Apache Kafka, Spark, Cassandra, Iceberg, Trino, etc.
- Build bespoke solutions using those open source technologies as a hands on engineer, cutting production-level code
- 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
About You:
- 7+ years experience as a software engineer, ideally working with and around large amounts of data
- Extensive experience with open source data tooling like Kafka, Spark, Iceberg etc. would be ideal
- 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, including stateful services on Kubernetes, NoSQL databases, AWS and/or GCP
- Ability to turn ambiguity into clarity, and being comfortable treading new ground
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