דרושים » תוכנה » Engineering team leader

We are looking for a visionary and hands-on leader to head our growing R&D group. In this role, you will mentor a talented engineering team, shape system architecture, and set the bar for quality, innovation, and delivery. If you're passionate about developing core defense solutions, being involved in every stage of product development, participating in military field tests, and contributing directly to national security – we want you on our team.


Responsibilities:
· Lead the full software development lifecycle – from planning through design, implementation, testing, and delivery. · Own development of both functional and non-functional features, with a hands-on approach to architecture and design. · Define and drive the division’s technological roadmap in collaboration with system and business stakeholders. · Foster a high-performance engineering culture focused on excellence, accountability, and innovation. · Manage and mentor cross-functional teams including backend, frontend, QA, and DevOps. · Collaborate with commercial, operations, and deployment teams to ensure alignment with budgets, timelines, and customer needs. · Represent the division's technological capabilities internally and externally to customers, partners, investors, and senior leadership.

Are you passionate about building smart, multidisciplinary systems that combine cutting-edge hardware, software, computer vision, and AI? Do you enjoy shaping product architecture and leading complex technological processes from concept to delivery?
the global leader in AI-automated sports production, is looking for an experienced Senior System Engineer to join our product development team. In this role, youll take ownership of the end-to-end system design of our smart camera solutions. You will define system requirements, architecture, and integration processes ensuring the delivery of high-quality, scalable products that meet market and business needs.

As part of your role, you will:
Report to the VP of R&D and work closely with cross-functional teams including product, hardware, software, and AI.
Define and collect system requirements in collaboration with product managers, customers, and technical stakeholders
Design end-to-end system architecture, including hardware, software, computer vision components, and communication interfaces
Write detailed technical documentation: System Requirements Specs (SRS), Interface Control Documents (ICD), Design documents, and test plans
Lead integration processes of hardware and software components, including debugging and root cause analysis
Collaborate closely with teams across hardware, software, algorithms, QA, and manufacturing
Own the planning and execution of system-level Verification & Validation (V&V) processes
Analyze system performance, identify bottlenecks, and propose effective system-level solutions
Support system testing, installations, and customer deployments from early trials to post-launch support
Evaluate new technologies and lead the selection and implementation of innovative system solutions

Why Youll Love Working Here:
Be part of a global sports-tech company shaping the future of sports broadcasting
Collaborate with top engineers on impactful, real-world technology
Work in a dynamic and agile environment with exciting growth opportunities
Help bring intelligent camera systems to sports fans around the world

Position Overview: Join our AI SaaS Team and take a pivotal role in shaping the next generation of forensic AI solutions. Youll design and build the infrastructure, tools, and pipelines that empower our researchers and data teams to innovate faster and smarter. In this role, youll work side-by-side with data scientists and AI researchers to transform ideas into reality integrating multi-modal data state-of-the-art Machine Learning models, and intuitive interfaces into scalable solutions. Youll also take ownership of AI/GenAI infrastructure and bring MLOps best practices into play, ensuring smooth data flows, efficient model training, and seamless deployments. This is your chance to bridge research and engineering, influence cutting-edge products, and deliver impactful forensic insights to investigators worldwide.
Key Responsibilities
* Develop and maintain AI/GenAI infrastructure: training environments, pipelines, and data Storage.
* Build scalable data pipelines for acquisition, transformation, and integration of multi-modal data.
* Support researchers by creating tools, visualizations, and prototypes for experiments and POCs.
* Collaborate with data scientists and engineers to operationalize AI models into Cellebrites SaaS products.
* Design and maintain cloud-native MLOps solutions for scalable deployments.

Office Location:
Petah Tikva

Required Staff Software Engineer
Job Overview
Come join the Professional Services Engineering team that is part of the Data Acquisition group as a Stuff Engineer. Lead the development of collecting Financial Data for our business. Deliver great capabilities for QuickBooks and TurboTax, and Credit Karma. Lead a team of highly motivated engineers opportunity to be part of a growing team.
Your team will be responsible for developing and maintaining the connectivity to thousands of financial institutions all over the world, including handling all the related escalations from our Care teams.
Responsibilities
Build high-performing team by putting the right people in the right job at the right time
Lead the day-to-day development and customers support - assign tasks, priorities, time estimates, releases, etc.
Guide, coach, and mentor software development engineers - including technical mentoring, conducting design reviews and code reviews
Evaluate employee performance, sets expectations and goals for the department and individual staff members, recruits contract workers, disciplines, and trains staff.
Initiate and embrace new ideas that produce outstanding results for our customers
Establish and stimulate software development standards and processes along with best practices for the delivery of scalable and high-quality software
Collaborate closely with peer managers and partners across the business (e.g. Program Mgmt, Business Analyst, Products, and more).

As a Senior Software Engineer within the AI Security team, you'll play a critical role in developing specialised tools and services to secure our cutting-edge Agentic AI solutions. Youll collaborate closely with architects, researchers, and security experts to translate security research into robust, production-ready software systems focused on safeguarding AI initiatives.

What Youll Do:
Develop, maintain, and optimise high-quality backend software systems and APIs, specifically designed for Agentic AI security and safety.
Translate advanced security research findings into scalable software tools, services, and guardrails for securing AI models.
Collaborate with AI security researchers and architects to implement practical solutions for identifying and mitigating vulnerabilities unique to Agentic AI systems.
Contribute to engineering best practices (code reviews, unit testing, CI/CD pipelines) and ensure technical excellence across the development lifecycle.
Take ownership of significant features and services from conceptualization through deployment, continuously improving existing solutions.
Build and deploy data pipelines and ML model training pipelines.

Working as a bridge between Data Science and Engineering, you will collaborate across various teams, supporting both data science and engineering as well as liaising with architecture and product management to help shape the Impact AI roadmap and accelerate our value to our customers.

Job Description
What you get to do in this role:  

Data Extraction and Pre-processing: Normalizing and pre-processing data, creating datasets, organizing outcomes, documenting data-quality checks.

Model Evaluation, Implementation & Maintenance: Evaluating, selecting, and implementing models locally, setting up automated drift / performance monitoring in production.

Solution Design: Contribute to solution diagrams.

Education and Training: Educating engineers on data and model management best practices through individual and team sessions.

Presentation and Documentation: Preparing and presenting explanatory documents and presentations to PMs and relevant internal customers .

Production Deployment of Models: Bringing Python models to production, paying attention to non-functional requirements such as predictive accuracy, robustness, security, performance, and storage.

looking for a Senior DevOps Engineer with hands-on experience in cloud infrastructure, particularly in Microsoft Azure and AWS, to work closely with our clients and provide technical leadership in building, automating, and managing cloud-native solutions.

This role requires a mix of deep technical expertise, consulting maturity, leadership skills, and the ability to communicate complex concepts effectively to a variety of stakeholders.

Responsibilities:

Planning, design, build and optimizing Azure-based cloud infrastructure solutions
Developing and managing efficient CI/CD processes to enable continuous integration and delivery
Operating and maintaining Kubernetes clusters, ensuring their reliability, scalability, and performance
Collaborating with cross-functional teams to define and implement scalable, reliable, and secure Azure cloud architecture
Driving innovations in Azure cloud infrastructure space and staying up to date with the latest Azure technologies and industry trends
Developing automation scripts and frameworks to improve operational processes and procedures within the Azure ecosystem

You will lead and grow a team of DevOps engineers, DBA and platform engineers, driving initiatives that support scalable, reliable, and secure infrastructure.

Youll oversee the design and management of cloud environments primarily AWS ensuring performance, cost optimization, and operational excellence through automation and Infrastructure-as-Code practices. This is a high-impact leadership position with broad responsibility for shaping the technical foundation and supports the company's growth and innovation.

Join our R&D team as a Senior DevOps Engineer. Define and create operations tools and processes for a massively scalable system, backing 10,000s of the worlds busiest websites and apps, which will hopefully grow to become the media backbone for the whole Internet.
We offer a fun and supportive environment in which you will constantly learn and evolve, and where your ideas will be embraced and pursued.
Responsibilities:
Manage live production environments
Handle ongoing monitoring and troubleshoot failures
Provide architectural solutions for complex data and processing requirements involving large-scale systems and rapid growth
Manage live environment from server infrastructure all the way to applicative image management layers
Implement system monitoring procedures
Design & implement our systems network topology
Design, implement & develop various solutions according to R&D/Production needs
Work closely with R&D teams to enable delivering features to production
Be part of a 24/7 production support on-call rotation