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Staff Software Engineer
Rokt · Austin, United States
About The Role
Join Rokt, a leading ecommerce technology company, as a Staff Software Engineer. In this role, you will lead the architecture, design, and delivery of scalable services that power over 10 billion transactions a year. You will have the opportunity to mentor and support the growth of senior and mid-level engineers, set standards for technical excellence, and work cross-functionally with engineering and product leadership. Rokt offers a range of benefits, including generous PTO, employee equity options, health and wellness benefits, and a hybrid workplace.
- Lead the architecture, design, and delivery of scalable services for Rokt's ecommerce platform, setting technical direction across teams.
- Drive systemic performance optimizations and refactors that improve reliability, latency, and cost across multiple services or teams.
- Act as a technical and project leader across a group of engineers, providing leadership on complex technical issues and unblocking teams.
- Experience with cloud platforms, CI/CD pipelines, and containerisation and orchestration tools (Docker/Kubernetes)
- Relevant bachelor's degree (or equivalent experience) and 10+ years in commercial software development, designing, building, and operating distributed systems in modern languages like C#, Go, Java, Scala, or TypeScript,
- Track record of owning system architecture and driving delivery in a high-throughput, low-latency production environment at internet scale, with your own designs having gone to production and been operated at scale
- Site Reliability Engineering. Owning the operational surface of high-traffic systems: observability, anomaly detection, incident response, and automations that keep on-call sustainable as the network grows. Owning and Administering cloud platforms, CI/CD pipelines, and containerisation and orchestration tools
- Data engineering. Building and scaling ingestion and storage on open-source foundations like Kafka, Spark, Cassandra, Iceberg, and Trino. Owning data systems that stay correct and queryable as volume grows by orders of magnitude
- MLOps. Building the infrastructure that lets ML move from notebook to production: feature and data access at scale, model management & training, deployment, and the tooling ML Applied Scientists depend on to ship and iterate
- High-throughput, low-latency distributed systems. Designing and operating internet scale backend services and APIs, with versioning, performance, scalability, and reliability treated as first-order concerns
- Deep expertise in at least one of the following:
- Web & Mobile front-end & SDKs. Building and refining Rokt's Web and Mobile Software Development Kits for performance, security, and seamless integration across thousands of partner environments
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