18 часов назад
Senior Software Engineer (Data & Distributed Systems)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Data & Distributed Systems) (C#, Java, Go): Designing and evolving feed definitions for large-scale distributed advertising systems across a complex multi-cloud environment with an accent on performance, data ingestion and egress, code reuse, and latency reduction. Focus on unifying data paths, building self-service provisioning, and solving petabyte-scale data and reliability challenges.
Location: Sydney, Australia
Company
is a global technology company operating an independent digital advertising platform that processes over 1 trillion queries per day.
What you will do
- Design and evolve feed definitions for performance across a complex multi-cloud environment.
- Unify diverse data ingestion and egress paths while improving code reuse and reducing latency.
- Drive self-service provisioning and increase platform flexibility for stakeholders.
- Build and operate large-scale distributed systems serving global traffic.
- Collaborate across technical and non-technical teams and contribute to an inclusive engineering culture.
Requirements
- 7+ years of software development and engineering experience.
- Strong experience with distributed systems and solid computer science and engineering fundamentals.
- Expertise in a backend programming language such as C#, Java, or Go.
- Experience working on agile, distributed teams across multiple time zones and continents.
- Experience with Spark, GraphQL, Vertica, Snowflake, Databricks, or similar data platform technologies.
- Effective communication with technical and non-technical audiences.
Nice to have
- Experience building microservices.
- Experience with cloud technologies, Kubernetes, and Kafka.
Culture & Benefits
- Work in a globally connected engineering environment focused on trust, ownership, empathy, and collaboration.
- Contribute to an inclusive workplace that values diverse perspectives.
- Work on large-scale systems spanning cloud and physical data centers around the world.
- Access varied technical opportunities involving distributed systems, petabyte-scale data, machine learning, visualizations, and interactive interfaces.
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