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Software Engineer Tech Lead
NICE — это стабильный глобальный лидер с отличной репутацией. Вакансия предлагает работу с передовым стеком (AI, AWS), гибридный график и реальные возможности для карьерного роста в роли индивидуального контрибьютора высокого уровня.
Сложность вакансии
Высокая сложность обусловлена требованием 8+ лет опыта, профильного образования с высоким баллом (GPA 85+) и глубоких знаний в области AI-агентов и LLM. Роль предполагает лидерство в техническом дизайне и внедрение инновационных AI-инструментов в процесс разработки.
Анализ зарплаты
Предлагаемая позиция Tech Lead в Израиле соответствует верхнему сегменту рынка. Учитывая требования к 8-летнему опыту и экспертизе в AI, зарплата в NICE обычно находится на уровне или выше медианы для крупных международных продуктовых компаний.
Сопроводительное письмо
I am writing to express my strong interest in the Software Engineer Tech Lead position at NICE. With over 8 years of experience in full-stack development and a deep focus on building scalable cloud-native solutions on AWS, I am excited about the opportunity to drive engineering excellence within the CXone WFM team. My background in orchestrating AI-augmented workflows and implementing agentic development patterns aligns perfectly with your vision for next-generation workforce management.
Throughout my career, I have consistently demonstrated the ability to lead complex feature designs and mentor engineering teams toward high-quality deliverables. I am particularly drawn to NICE's commitment to innovation and the 'NiCE-FLEX' hybrid model. I am eager to bring my expertise in LLM integration and backend architecture to help NICE maintain its position as a market disruptor and deliver extraordinary AI-powered experiences to your global customer base.
Составьте идеальное письмо к вакансии с ИИ-агентом

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Описание вакансии
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what’s the role all about?
As a Software Engineer Tech Lead, you will be at the heart of building NICE’s next‑generation Workforce Management platform - an advanced cloud‑native solution enhanced with intelligent, AI‑powered capabilities.
In this role, you will build full‑stack features, orchestrate AI agents to accelerate engineering workflows, and deliver innovative AI‑driven features directly to customers.
You’ll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged—they’re expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
- Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
- Develop end to end cloud features on top of AWS.
- Optimizing components for maximum performance.
- Ensure high-quality deliverables and efficient project execution and continuous improvement.
- Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
- Demonstrate strategic thinking and a long-term vision for scalable solutions.
- Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment
Have you got what it takes?
- Computer Science B.Sc./BE/Beng with GPA of at least 85
- At least 8 years of BE/Fullstack experience
- AI‑augmented development, including MCP servers
- Good understanding of OOP and OOD concepts
- Self-motivated, accountable, quick learner and team player
- Excellent interpersonal and communication skills
- Be open to taking on increasing responsibilities with the goal of role evolving
- Fluent English
You will have an advantage if you also have:
- Implemented AI/LLM agentic systems
- Prior leadership experience (Tech Lead, Architect, Scrum Master, Team Lead)
- Familiarity with ML pipelines, vector databases, or LLM integration patterns
What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
Enjoy NiCE-FLEX!
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
**Requisition ID: 9932
Reporting to: Group Lead, Engineering, CXone WFM**
Role Type: IC
#LI-Hybrid
*About NiCE*
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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Навыки
- AWS
- AI
- LLM
- OOP
- OOD
- Fullstack
- Backend
- Machine Learning
- Vector Databases
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