Senior Systems Software Engineer
7 days ago
Dstillery is a leading custom audience solutions company that empowers brands and their agencies to maximize the value of customer data and transform the way they connect with their audiences.
We're a group of relentlessly curious data scientists, engineers, and marketing and advertising professionals solving companies' toughest problems in the face of constant technological change.
Our Engineering CultureWe focus on shipping scalable, practical systems. We avoid ivory-tower architecture, preferring to ship quality code and iterate.
We use small, agile teams that can touch any part of the system. We place a high value on maintaining a good work-life balance, avoiding grinds and focusing on getting things done rather than putting in long hours.
Job DescriptionWe're hiring a Senior Software Engineer specializing in distributed systems.
The role involves designing and implementing large-scale, fault-tolerant systems, primarily in Java and writing big-data ETL jobs.
Your work will contribute to creating Dstillery's data-driven custom audiences.
Responsibilities- Technical Leadership: Your experience extends beyond coding and involves influencing architectural decisions, system design, and helping to plan and drive the technical direction of projects.
- Cross-Functional Collaboration: Collaborate closely with other teams and stakeholders, such as product managers, software engineers, site reliability engineers, and data science to ensure the successful execution of projects.
- Coding and Documentation: Design, develop, document, and maintain highly scalable, fault-tolerant, distributed systems as a member of one of our software engineering teams. Propose and encourage adherence to best practices and standards.
- Extensive Experience: 6+ years delivering high-quality software solutions and hands-on experience designing production systems.
- Designing APIs at Scale: You have designed, built, broken, and rebuilt APIs at scale using Java, C++, Go, or .Net, with an emphasis on understanding and designing large-scale systems beyond writing CRUD REST APIs.
- Technical Skills: Interested in working with Java for applications, Python for ETL, Apache Kafka, MySQL, Spark, Hive, ScyllaDB, Airflow, Terraform, Google Cloud Platform solutions such as Compute Engine, Cloud Storage, Cloud SQL, Google Kubernetes Engine, BigQuery, Dataflow, and Cloud Run.
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