דרושים » תוכנה » חברת הייטק מצליחה מחפשת מפתח /ת אינטגרציה

We are looking for a talented Senior Security Embedded Software Engineer with a solid background in the security domain to lead the development of innovative security solutions for the next generation portfolio products.
In this role, you will lead products core features, from understanding the system requirements and defining the features behavior, through designing the software architecture to implementing and releasing high quality code.
You will work closely with hardware and software engineers, system engineers and security experts to characterize the solutions and determine the development strategy.  
Responsibilities:
Working together with the product and system engineering team and security experts to characterize innovative security solutions.
Leading core features design and implementation according to system architecture specifications and engineering requirements in collaboration with other groups in Microsoft.
Assessing security threats and develop design and mitigation strategies to ensure the SW is highly secured.
Mentoring and coaching other team members on security best practices and SW development techniques.
Staying up to date with the latest security trends, methodologies and technologies.

we areseeking a Full Stack Team Lead to drive AI-first development across our core platform.
As an AI-first company, we integrate artificial intelligence into every facet of our operations, from product development to internal processes. In this role, you'll lead a team of 56 dedicated full-stack developers, working on cutting-edge technologies to enhance user experiences and data-driven solutions.
You'll have the autonomy to make technical decisions and support other developers in a collaborative environment.
What You Will Do
Lead Development Initiatives: Guide a team of full-stack developers in building core applications, ensuring the integration of AI-driven features.
Mentorship: Provide technical guidance to engineers, fostering their growth and promoting best practices in AI-assisted development.
Architectural Decisions: Make hands-on technical decisions for backend (Java + AWS) and frontend (React/Angular) components, incorporating AI tools where applicable.
Code Quality: Write clean, maintainable, and efficient code, setting high standards for code quality and review practices.
Cross-Functional Collaboration: Work closely with Product teams to prioritize features, estimate work, and keep projects on track, leveraging AI to streamline processes.
Innovation: Identify pain points and drive improvements in our codebase and processes, utilizing AI to enhance efficiency.
Team Motivation: Ensure daily alignment, remove blockers, and champion best practices within the team.