4 дня назад
Staff Software Engineer (Java)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Java) (Data Solutions & Measurement): Designing, scaling, and maintaining backend systems that process large volumes of data with an accent on event-driven architecture, API integrations, and performance-sensitive workflows. Focus on building high-throughput, low-latency production systems, migrating toward scalable domain-based architecture, and solving complex technical problems across engineering and data science teams.
Location: Remote, United Kingdom
Company
is a research technology company providing a programmatic marketplace and data platform for collecting opinions, measuring advertising impact, and supporting business research.
What you will do
- Design, implement, scale, and maintain backend systems processing large volumes of data.
- Build event-driven and API-based integrations for production systems.
- Contribute to migration toward a scalable, domain-based architecture.
- Optimize software for performance-sensitive, high-throughput, and low-latency workflows.
- Investigate complex technical problems and develop solutions with engineering and data science colleagues.
- Influence junior and mid-level engineers while working autonomously across the Outcomes, Methodology, and Recruitment teams.
Requirements
- Location: Remote, United Kingdom.
- 10+ years of backend software engineering experience with strong technical depth.
- Strong knowledge of Java, algorithms, data structures, Big O notation, and event-driven architecture.
- Experience with Python or PySpark and heavy data-processing technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, and Kafka.
- Experience building or maintaining complex, real-time, high-volume systems with high throughput and low latency.
- Experience with Docker, SQL, NoSQL databases, REST APIs, and event-driven integrations, plus strong problem-solving and communication skills.
Nice to have
- Experience with AWS, GCP, or other cloud providers.
- Experience with Pandas, Spring, and microservices.
- Experience in large-scale data or analytics environments.
- Degree in computer science, computer engineering, or a related field.
Culture & Benefits
- Autonomous role with freedom to innovate and solve complex technical problems.
- Collaborative development model with shared ownership of work.
- Cross-functional collaboration with engineering, product, and data science partners.
- Culture focused on collaboration, innovation, accountability, openness, and inclusion.
- International environment with teams and offices across multiple countries.
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