4 дня назад
Sr. Java Full Stack Engineer
175 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Java Full Stack Engineer (Java/Spring): Building backend services and data pipelines that ingest, transform, enrich, and serve billions of records for customer-facing financial data products with an accent on scalability, correctness, latency, and data quality. Focus on designing distributed systems, solving high-volume ingestion and enrichment challenges, and operating production services end-to-end.
Location: Seattle, Washington, United States; expected to work in the office 5 days a week.
Annual base salary: $175,000–$215,000; target annual bonus: 10%.
Company
is a financial data and software company providing data products for customers worldwide.
What you will do
- Design, implement, and maintain backend services and data pipelines for large-scale company and person data.
- Own system components end-to-end, from requirements and design through testing, deployment, and production support.
- Build reliable, efficient, and scalable services that process billions of records from multiple external sources.
- Contribute to architecture discussions, evaluate tradeoffs, review code, and provide technical guidance.
- Support production systems through troubleshooting, incident response, and operational improvements.
- Collaborate with engineers, product managers, and data science partners while applying AI and LLM tooling where useful.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a similar field.
- 5+ years of software engineering experience, primarily with backend systems.
- 5+ years of Java development experience, including production microservices.
- 4+ years of experience with Spring Boot or the Spring Framework.
- Must be authorized to work in the United States without requiring visa sponsorship now or in the future.
- Strong communication skills and experience working with distributed systems, testing, and production software.
Nice to have
- Experience with Kafka, PostgreSQL, Elasticsearch, Docker, Kubernetes, AWS, or GCP.
- Knowledge of large-scale ingestion, transformation, enrichment, entity resolution, deduplication, or data quality.
- Experience with RESTful API design, domain-driven design, service-oriented architecture, and automated testing.
- Practical familiarity with AI and LLM tools.
Culture & Benefits
- In-person collaboration in a standard office environment with limited corporate travel.
- Comprehensive health, dental, vision, disability, accidental death, and life insurance benefits.
- Paid vacation, sick, volunteer, family, and paternity leave, plus a sabbatical after four years.
- Annual educational stipend, tuition reimbursement opportunities, CFA exam stipend, and professional training.
- 401(k) matching, employee stock ownership, transportation stipend, childcare support, employee resource groups, and team-building events.
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