3 дня назад
Staff Software Engineer (Cloud/AI)
158 000 - 277 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Cloud/AI): Designing, building, and operating secure, scalable, multi-tenant SaaS services and platform capabilities with an accent on distributed systems, cloud-native infrastructure, and AI-enabled engineering. Focus on leading complex technical initiatives, improving reliability and observability, and mentoring engineers across multiple teams.
Location: United States - San Mateo, CA
Salary: $158,000–$277,000 annual base salary
Company
provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers.
What you will do
- Provide technical leadership and mentorship across multiple engineering teams.
- Design, build, and operate scalable, secure, multi-tenant SaaS services and platform components.
- Develop microservices, APIs, automation tools, and lifecycle management capabilities for highly available distributed applications.
- Build cloud platform capabilities using AWS, Kubernetes, Docker, Terraform, Kafka, and modern data technologies.
- Drive adoption of AI, agentic coding tools, GenAI capabilities, and advanced engineering automation.
- Own technical design, CI/CD, scalability, availability, observability, reliability, data security, and production readiness.
Requirements
- 12+ years of software engineering experience, preferably in cloud platforms, data platforms, distributed systems, SaaS, or platform engineering.
- Deep expertise in Java and large-scale distributed systems, microservices, and API-driven architectures.
- Strong knowledge of consistency, availability, durability, reliability, fault tolerance, scalability, consensus, algorithms, data structures, concurrency, and performance optimization.
- Hands-on experience with Kubernetes, AWS or another public cloud, Docker, infrastructure-as-code tools such as Terraform or CloudFormation, and CI/CD practices.
- Experience building or integrating data platforms, machine learning platforms, or large-scale data processing systems.
- Ability to communicate complex technical ideas, influence stakeholders, lead technical direction, and mentor engineers.
Nice to have
- Experience with Large Language Models, Retrieval-Augmented Generation, vector databases, AI agents, agentic workflows, or Model Context Protocol.
- Proficiency in JavaScript, TypeScript, Python, or Go.
- Experience building SaaS, PaaS, or developer platforms on AWS, GCP, or Azure.
- Experience with TeamCity, Argo Workflows, event-driven architecture, or Kafka-based systems.
Culture & Benefits
- Collaborative, customer-centric engineering environment with cross-functional work across product, architecture, security, operations, and solutions teams.
- Health, dental, and vision insurance.
- Paid time off and a company-sponsored retirement plan.
- Potential eligibility for annual bonuses, commissions, and long-term incentive awards depending on the role and performance.
- Disability accommodations and an appeals process are available during hiring.
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