Staff Software Engineer

Responsibilities

Technical

• Own the architecture, design, development, testing, deployment and maintenance of high-throughput, low-latency services in languages like Go, Scala, Java, C#, or TypeScript.
• Drive systemic performance optimisations and refactors that improve reliability, latency, and cost across multiple services or teams.
• Lead root cause analysis on complex, cross-system production incidents, and drive the engineering response that prevents recurrence.
• Own architectural decisions and lead system design reviews across teams, ensuring solutions scale as transaction volume and traffic grow.
• Research and leverage AI tooling, LLMs, and agents to automate manual processes, accelerate learning, and lift developer productivity across the org.
• Contribute to knowledge sharing through tech talks, brown bags, and best practice evangelism.

Leadership

• Act as technical and project leader across a group of engineers spanning one or more teams.
• Provide leadership on complex technical issues, unblocking teams and de-risking high-stakes delivery.
• Set standards for technical excellence, from coding to architectural best practices.
• Mentor senior and mid-level engineers, and support their growth toward technical leadership.
• Work cross-functionally with engineering and product leadership to plan and manage delivery expectations of roadmap items.
• Actively monitor progress and intervene where required to mitigate risks and bottlenecks, managing expectations within and outside the team.

Requirements

• 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.
• Experience with cloud platforms, CI/CD pipelines, and containerisation and orchestration tools (Docker/Kubernetes).

Deep expertise in at least one of the following:

• 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.
• 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.
• 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.
• 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.

Nice-to-Haves

• Experience researching and leveraging AI tooling, LLMs, and agents to automate processes and improve developer productivity.

Compensation and Benefits

• Target total compensation ranges from $470k - $615k, comprised of a fixed annual salary of $290k - $360k, plus employee equity plan grant.
• Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
• Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration).
• Fully funded health insurance (Dental, Optical, and Medical).
• Generous allowances for wellness, technology, mobile, and transit.
• Daily catered lunch, stocked pantry & fridges.
• Dog-friendly offices.
• Extra leave (bonus annual leave, sabbatical leave etc.).