обновлено 1 день назад
Lead Software Development Engineer (Java)
190 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Software Development Engineer (Java): Building and owning backend services, ingestion pipelines, enrichment workflows, and search-ready systems for billions of records with an accent on distributed data processing, reliability, and scalable cloud infrastructure. Focus on designing entity resolution and search indexing capabilities, leading technical decisions, and solving complex production performance and observability challenges.
Location: Seattle, Washington, United States; expected to work in the office 5 days a week.
Annual base salary: $190,000–$230,000; target annual bonus: 15%.
Company
, a Morningstar company, develops customer-facing financial data and intelligence products.
What you will do
- Manage, mentor, and technically lead a small, high-ownership team of software engineers.
- Write production-grade Java backend code for services, APIs, and data pipelines.
- Design ingestion pipelines, entity resolution, enrichment workflows, and search indexing strategies.
- Own architecture decisions, code quality, performance, reliability, observability, and technical debt reduction.
- Collaborate with engineering management, product, and partner teams on requirements and technical direction.
- Own service infrastructure, feature and release estimates, resource allocation, and delivery against engineering standards.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 7+ years of backend software engineering experience, primarily with Java on production systems at scale.
- Proven technical leadership experience in a small, high-ownership engineering team.
- Cloud infrastructure experience with GCP preferred or AWS accepted.
- Must be authorized to work in the United States without requiring visa sponsorship now or in the future.
- Experience with system design, distributed systems, data modeling, APIs, fault tolerance, testing, CI/CD, and Agile practices.
Nice to have
- Distributed data pipelines and streaming systems, including Kafka or equivalent.
- Elasticsearch or comparable search and indexing platforms.
- PostgreSQL or relational databases at significant data volumes.
- Large-scale data ingestion, transformation, enrichment, entity resolution, deduplication, or data quality pipelines.
- Docker and Kubernetes in production, plus experience using AI tools such as GitHub Copilot or Claude.
Culture & Benefits
- In-person collaboration in a standard office setting with limited corporate travel.
- Comprehensive health, life, disability, and accidental death and dismemberment insurance.
- Paid sabbatical after four years, family and paternity leave, vacation, sick, and volunteer days.
- Annual educational stipend, tuition reimbursement eligibility, CFA exam stipend, and training programs.
- 401(k) matching, employee stock ownership, transportation stipend, emergency childcare support, and employee resource groups.
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