דרושים » ניהול ביניים » Software Group Leader

our company is at the forefront of the ai revolution, delivering latest accelerated compute platforms for global impact. our networking research group is seeking a forward-thinking engineering manager with a product leadership approach to manage a team of software engineers, ai agent developers, and researchers.
in this role, you will bridge the gap between brand-new ai research and practical engineering. you will lead the charge in integrating autonomous ai agents into the daily workflows of our architects, hardware designers, and researchers. you will be responsible for understanding internal engineering bottlenecks, researching the latest academic and industry advancements, and translating them into deployed production tools using nvidias ai stack.
what you'll be doing:
team leadership & strategy: lead and mentor a mixed team of SW engineers and researchers, balancing the agility of research with the responsibility of production software engineering.
product engineering: partner with internal engineering teams (hardware, architecture, research) to analyze their workflows, identify friction points, and architect agentic ai solutions to accelerate their work.
applied research: actively monitor the latest ai trends, academic papers, and technical blogs (llms, agents, rag). translate these insights into concrete features and tools for the team.
agent architecture: be responsible for the design of scalable frameworks for ai agent interaction, ensuring they can reason, plan, and orchestrate tasks within complex engineering environments.
sw-focused mlops: define and implement the software lifecycle for ai models - from fine-tuning to deployment - utilizing our ai deployment tools and ensuring seamless ci/cd.
production deployment: ensure reliable operation of agent fleets, optimizing for latency and resource consumption while maintaining security and access controls.

We are seeking an experienced Software Architect to lead the design and evolution of our modular, component-based platform. This role is central to shaping scalable, maintainable, and future-ready backend systems as we modernize existing solutions and develop new ones. You will own architectural direction, define and enforce technical standards, and collaborate across teams to align design decisions with business, operational, and product goals.
The role focuses on system design, technical governance, and documentation, with hands-on contributions to PoCs, prototypes, and MVPs where needed.
Responsibilities:
Design and document scalable, modular backend architectures that support componentized platform development.
Lead architecture reviews and provide actionable guidance to development teams.
Define, provision, and enforce architectural standards, patterns, and governance practices across teams.
Support system modernization and greenfield development initiatives.
Ensure architecture decisions are aligned with long-term product strategy and evolving toward SaaS-based delivery.
Collaborate with Product, DevOps, QA, and Data Engineering teams to align architecture with cross-functional needs.
Contribute hands-on to early-stage initiatives (e.g., PoCs, architectural spikes, MVPs) to de-risk implementation paths.
Design systems with security, auditability, observability, and operational resilience in mind.
Promote engineering best practices, CI/CD adoption, and high-quality coding standards across the organization.
Incorporate and encourage the use of AI-assisted development tools to improve efficiency, consistency, and innovation.

Your Role:

Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.

Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.

Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.

Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.

Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.

Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

The SaaS and AI Security field is complex and challenging. Therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.

About the Role
We are looking for an experienced full-stack team lead to join our R&D organization, lead the design and development of large-scale, data-oriented applications.
In this role, you will manage a talented team of full-stack engineers while remaining hands-on and technically involved in building our core SaaS security platform.
You will play a key role in shaping system architecture, driving technological innovation, and ensuring the delivery of robust and scalable solutions in a fast-paced, dynamic environment.

Key Responsibilities
Lead and mentor a team of full-stack engineers, guiding them in design, development, and delivery of complex projects.
Drive the architecture and implementation of data-centric applications using modern technologies and cloud infrastructure.
Lead a fast-moving development team, ensuring strong execution and teamwork in a dynamic environment
Collaborate with QA, Product, Design, and DevOps teams to ensure system scalability, reliability, and performance.
Conduct code reviews, enforce best practices, and foster a high-quality engineering culture.
Research and integrate new technologies to overcome technical challenges and improve productivity.
Own full project lifecycle, from requirement gathering and design to deployment and monitoring in production.

backend team lead (6245) A global technology company, a leader in autonomous systems, is seeking a backend team lead to drive the development of Real-Time, mission-critical software.

We are seeking We are seeking an experienced Senior Generative AI Engineer (LLMs & Agents) to join our AI squad at KPMG. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work.
You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms.
You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities:
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Pytho
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliability, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures
Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders
Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS
Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.)
Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques
Define and refine best practices for GenAI system development and deployment
Contribute to internal accelerators, methodologies, and knowledge sharing

We are looking for an entrepreneurial Engineering Team Lead to spearhead the development of a brand-new product line within our company.
This is a unique "0 to 1" opportunity: you will design the architecture from the ground up, recruit your own team of talented engineers, and define the engineering culture for this new unit. You will join a company backed by top-notch investors and industry leaders, with a product already live in over 15 countries and high scale-but you will operate with the agility and ownership of a founder.
What You'll Do
Build & Lead the Team:
Recruit & Grow: Hire, onboard, and mentor a new team of highly talented engineers from scratch.
Culture: Foster a culture of technical excellence, open collaboration, and rapid iteration.
Standards: Conduct code reviews and set the standard for code quality, maintainability, and testing.
Architecture & Development (Hands-on):
0 to 1 Design: Lead the design and implementation of a complex data processing system from scratch, analyzing visual data and integrating with our existing platforms.
Hands-on Coding: Remain hands-on (approx. 50-60% coding initially), developing core features mainly in Python while laying the architectural foundations.
Scale & Strategy: Make key technology choices that will impact the product's long-term scalability and performance.
Product Delivery:
Impact: Tackle complex real-world problems that directly affect the companys success.
Collaboration: Work closely with Product Managers and software teams to translate complex business requirements into scalable technical solutions.
Delivery: Drive the delivery timeline, balancing speed-to-market with robust engineering practices.

This is a Senior Software Development Engineer in Test (SDET) position on our Falcon Data Protection product development team, focusing on the integration between our endpoint sensor and browser extension technology. You will own the end-to-end quality process for how the sensor and browser extension work together to deliver data protection - from hands-on exploratory testing and test strategy design through to building robust automation. As a key contributor to the team, you will drive validation for new capabilities, ensuring data protection works as expected across the full stack. Working closely with sensor, cloud, and extension development teams, you'll coordinate testing efforts, participate in technical design discussions, and lead code reviews. We're seeking a senior engineer who works independently, thrives on technical challenges, takes full ownership of quality for their domain, and contributes to a culture where quality is paramount.

Location: Hybrid - Tel Aviv, Israel

Success in this role means:

Owning the entire quality process for sensor and browser extension integration - from test strategy through hands-on testing to automation

Driving validation of new capabilities end-to-end, including test design, hands-on testing, automation, environment setup, and coordination across teams

Identifying what can and should be automated, and building that automation incrementally

Reviewing developer test code and SDET test code to raise the quality bar across the team

Collaborating both within and across teams as part of SDLC ceremonies and major initiatives

Building elegant, robust, and reliable solutions for complex technical problems

What You'll Do:

Own the quality process for sensor-browser extension integration - design and implement comprehensive test strategies, configure environments (VMs, CI/CD pipelines) and coordinate with developers and QA

Perform hands-on exploratory and manual testing of new features, then identify automation opportunities and build integration and E2E test automation

Build and maintain integration and end-to-end tests using Python, ensuring data protection features works correctly across sensor and browser extension on both Windows and macOS platforms

Review developer-written tests and SDET test code with an eye towards improving reliability, security, and maintainability

Debug cross-platform issues found through testing or customer-reported cases to identify root cause and enhance test coverage

Reproduce and validate fixes for customer-reported issues

Manage test infrastructure including CI/CD pipelines in Jenkins, ensuring fast and reliable feedback loops

Participate in SDLC ceremonies as part of major initiatives, collaborating with sensor, cloud, and extension teams

Collaborate with product and release management to control risk, improve quality, and streamline release cycles

Required Backend Software Developer
Israel: Tel Aviv/ Hybrid (Israel)
R&D | Full Time | Job Id: 25310
Why Join Us?
We are building the automation backbone that powers development.
As part of the I/S Group, our team provides the core infrastructure for building, running, and analyzing code quality and automated tests across our products. We design and maintain scalable pipelines, frameworks, and tools that developers and QA engineers rely on every day to ship secure, high quality software faster and with confidence.
We are looking for a developer who enjoys designing robust automation systems, streamlining developer workflows, and making our build and test processes faster and more transparent.
Key Responsibilities:
Design, build, and maintain robust automation infrastructure and services that serve as the backbone of engineering operations.
Develop AI-driven tools and features that empower automation users and elevate developer workflows across the organization.
Enhance and extend existing automation services used by developers across.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI , covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 3-4 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.