דרושים » ניהול ביניים » Senior Backend Developer -Container Team

We are seeking a highly skilled and experienced full-stack developer to join our team. As a Sr. FullStack developer you will be responsible for architecting, developing and enhancing all components of our SAAS solution.
**In this position, you will work in a hybrid model, which means you will spend two days at the office and three days working from home.**
What will you do?
Designing and developing AppSec SAAS Platform from concept to deployment.
Collaborating with cross-functional teams to gather requirements and define project objectives.
Leading and championing proof-of-concept initiatives focused on artificial intelligence empowerment, demonstrating the feasibility and value of GenAI solutions for business challenges.
Developing efficient and reliable FE and backend systems using React, Go, Java and other related technologies.
Owning and Leading proof-of-concept initiatives focused on artificial intelligence empowering, demonstrating the feasibility and value of AI solutions for business challenges.
Optimizing application performance and ensuring scalability and reliability.
Creating and maintaining databases, writing efficient queries, and ensuring data integrity.
Conducting thorough testing and debugging to identify and resolve issues.
Collaborating with other developers and participating in code reviews to maintain code quality and best practices.
Staying up to date with emerging technologies and trends in software development especially focusing on GenAI.

We are seeking a highly skilled and experienced Team Leader to join our team. As a Team Lead, you will be responsible for architecting, developing and enhancing all components of our SAAS solution.
**Working in a hybrid model! ( two days from the office, three days from home. )**
Responsibilities:
Leading and managing a cross-functional development team to design and develop the AppSec SAAS Platform from concept to deployment.
Mentoring and coaching team members on technical skills, career development, and best practices in software engineering.
Driving strategic technical decisions for both frontend and backend systems.
Collaborating with stakeholders across departments to gather requirements, define project objectives, and ensure alignment with product & business goals.
Overseeing the development of efficient and reliable frontend and backend systems using React, Java, and other related technologies.
Leading and championing proof-of-concept initiatives focused on artificial intelligence empowerment, demonstrating the feasibility and value of GenAI solutions for business challenges.
Managing project timelines and resource allocation while ensuring optimal application performance, scalability, and reliability.
Establishing team standards for database design, query optimization, and data integrity practices.
Practicing quality assurance processes including code review, testing strategies, and debugging methodologies.
Fostering a collaborative environment that promotes knowledge sharing, continuous learning, and adherence to best practices.
Staying current with emerging technologies and leading the team's adoption of cutting-edge solutions, particularly in the GenAI space.

we are seeking an innovative and experienced Senior Software Developer to join our team. This team is pioneering a new wave of application security solutions focused on identifying risks in AI-powered software. If you're passionate about software security, skilled in backend engineering, and intrigued by the intersection of AI/LLMs and security, we want you on our team.
The product scans application source code to detect embedded AI/ML models, libraries and framework, understand their behavior, and surface potential security risks; from data leakage to prompt injection vulnerabilities. This is a high-impact role that blends backend engineering with cutting-edge AI applications, helping organizations secure the next generation of software.
You're invited to meet the R&D team here!
**Work in a hybrid model: Two days from the office, three days from home**
Responsibilities:
Design and implement backend systems that scan source code, identify AI/ML components, and evaluate associated security risks.
Build intelligent detection logic to recognize large language models (LLMs), machine learning models, and custom pipelines in codebases.
Collaborate with security researchers, data scientists, and product managers to integrate AI risk models into our core platform.
Develop scalable and maintainable services in Java and Go.
Translate research prototypes into production-grade features, with attention to performance, resilience, and accuracy.
Conduct code reviews, maintain high development standards, and mentor team members.

Were building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.
In this role, youll:
Research and develop next-gen code analysis and remediation algorithms
Work hands-on with GenAI models and integrate them into detection workflows
Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations.
What You'll Do:
Design and implement machine learning and algorithmic solutions for code analysis
Build GenAI-powered developer tools for static and semantic code analysis
Enhance our existing detection infrastructure with intelligent, context-aware insights
Translate cutting-edge research into practical, scalable product features

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on on NextSilicons unique hardware architectureunlocking a new level of performance

We are seeking a talented engineer with extensive experience in modelling, analyzing and optimizing AI workloads and end-to-end flows. This position lies at the intersection of computer science, hardware architecture and ML computational algorithm.

Responsibilities:
Model AI workload behavior on custom hardware and software
Identify bottlenecks and propose optimizations in hardware architecture and software.
Define next generation software requirements and specifications.