Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$137к-210к/год
$150к$170кмедиана$210к
По похожим ролям (49) ~ $170к/год
На СНГ рынке: $3.9к/мес ($2.9к - $4.3к)
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Хорошая вакансия
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Это четко очерченная руководящая инженерная роль в устоявшейся продуктовой компании с современными облачными технологиями и серьезной ответственностью за команду и архитектуру.
?Широкая зона ответственности
Современный стек
Влияние на продукт
AI в страховании
?Удалённо только по США
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Manager – Engineering (Full Stack/SaaS): Leading a full stack engineering team building scalable web applications and APIs for an insurance technology platform with an accent on technical architecture, serverless AWS solutions, and team development. Focus on designing secure, performant systems, translating business goals into technical roadmaps, and scaling high-performing engineering teams.
Location: Virtual, USA; remote work within the United States
Salary: $136,885.10–$210,000.00, plus bonus and/or commission eligibility
Company
hirify.global provides a cloud platform and AI solutions for the insurance economy, serving insurers, repairers, automakers, and parts suppliers.
What you will do
Provide technical and people leadership for a multi-level full stack engineering team in Subrogation.
Own end-to-end technical product and solution design aligned with business objectives.
Partner with product managers, UX designers, and business stakeholders to define technical goals and outcomes.
Coordinate cross-functional delivery, timelines, deliverables, and stakeholder communication.
Lead delivery of scalable, performant web applications and APIs.
Maintain architecture standards for scalability, security, and performance while building stakeholder relationships.
Requirements
8+ years of software engineering experience, including 3+ years managing engineering teams.
Deep understanding of frontend, backend APIs, databases, and cloud infrastructure.
Expertise in technical architecture and solution design for web applications and SaaS products.
Proficiency with AWS Lambda, API Gateway, SQS, S3, IAM, and serverless architectures.
Strong experience with React, TypeScript/JavaScript, Python, and Node; Python or Node required for backend services.
Experience with database design and optimization; MongoDB or other NoSQL databases preferred.
Strong software engineering fundamentals, including CI/CD, automation testing, and infrastructure as code.
Ability to build, mentor, and scale high-performing technical teams; manage through subordinate supervisors or directly with responsibility for results, costs, methods, and staffing.
Experience translating business objectives into technical roadmaps, estimating and prioritizing tasks, escalating issues, and balancing technical excellence with business timelines.
Excellent communication, stakeholder management, and cross-functional collaboration skills, including explaining complex technical concepts to non-technical stakeholders.
Nice to have
Financial services experience, including banking, insurance, or an equivalent industry.
Experience managing teams of 10+ engineers.
Experience applying generative AI and prompt engineering to products, engineering workflows, or business solutions.
Experience with microservices, microfrontends, modular component design, customer-facing product development and support, and production performance optimization.
Culture & Benefits
Values include integrity, customer focus, innovation, inclusion and diversity, tenacity, and connection.
Benefits include 401K match, paid time off, comprehensive health insurance, and an annual incentive plan performance bonus.
Additional benefits include adoption assistance, tuition reimbursement, wellness programs, stock purchase plan options, and employee resource groups.
Reasonable accommodation is available for completing the job application.
Hiring process
A video interview is required; interviews are transcribed and retained for review by CCC and its recruiters.
Generative AI or automated assistance is not permitted during interviews unless explicitly allowed by the interview team for a specific exercise.
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