5 дней назад
Lead Java Engineer (AI)
90 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Java Engineer (AI): Building and supporting scalable, secure enterprise platforms and cloud-native applications with an accent on Java, microservices, distributed systems, and AI-assisted engineering. Focus on designing high-volume APIs and event-driven services, leading incident resolution, implementing DevSecOps and observability, and protecting regulated data.
Location: Chicago, Illinois; hybrid, with in-person work at an assigned office at least two days per week
Salary: $90,000–$150,000 annually
Company
develops enterprise platforms and services that support critical business operations across multiple countries and cloud environments.
What you will do
- Design, develop, and support large-scale Java enterprise applications and global platforms.
- Lead architecture and implementation of cloud-native, microservices-based solutions.
- Build high-volume, low-latency applications, REST APIs, event-driven services, and distributed systems.
- Provide technical leadership, mentor engineers, and promote engineering best practices.
- Implement CI/CD, DevSecOps, automated testing, monitoring, observability, and reliability practices.
- Apply secure coding, authentication, encryption, authorization, and data protection controls for regulated data.
Requirements
- 6+ years of hands-on experience developing enterprise applications with Java.
- Strong experience with distributed systems, microservices, RESTful APIs, and event-driven applications.
- Experience building cloud-native applications and deploying to cloud platforms; GCP is preferred.
- Experience supporting mission-critical production systems, troubleshooting complex issues, and leading incident resolution.
- Expertise with Java and Spring, including Spring Boot, Spring Batch, Spring Security, Spring Cloud, and Spring Data.
- Experience with GCP, Kubernetes, Maven, Git, SonarQube, JUnit, TestNG, WireMock, and TestContainers.
Nice to have
- Experience integrating AI or LLM solutions, RAG architectures, AI agents, or AI-powered automation.
- Experience with Google Cloud Spanner or other globally distributed databases.
- Experience designing multi-region and multi-cloud architectures.
- Knowledge of SRE practices, SLOs, SLIs, error budgets, and operational readiness.
- Architecture, cloud, Kubernetes, security, or SRE certifications.
Culture & Benefits
- Hybrid work with regular virtual and in-person collaboration.
- Medical, dental, vision, HSA, and FSA options with day-one eligibility.
- 401(k) with employer match, ESPP, disability coverage, and life insurance.
- Paid parental leave, adoption assistance, caregiver support, and dependent-care benefits.
- Tuition reimbursement, career coaching, paid time off, holidays, commuter benefits, and wellness resources.
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