לוח משרות דרושים מהנדס תוכנה עבודה היברידית

we are looking for a Senior DevOps Engineer to build our next-gen production infrastructure.In this role, youll work on evolving our architecture, including CI/CD processes, data replication, monitoring and security tooling in a multi-cloud, multi-account environment.Our tech-stack includes AWS, RDS, Redis, RabbitMQ, DataDog, Jenkins and Github Actions, K8s and more
Youll work on:
Building a world-class SaaS infrastructure for shipping high-quality changes to production
Defining, developing, and maintaining core production services
Securing our cloud infrastructure and development environments
Defining and leading innovative DevOps processes and introducing new tools across
Constantly improving our Delivery Frequency, Lead Time to Changes, and Mean Time to Recovery

We are looking for a DevOps Team Leader, Infrastructure engineering team, located in our Rehovot office. This is team Infrastructure Engineers, who closely align to DevOps principals. Your responsibility will be to drive innovation, scale our platforms, and create operational excellence for the globally distributed network. The person taking this role will have significant scope to influence decisions that will have a significant impact on infrastructure and how we serve our customers.
As an Leader in the ICO organization, you will improve your team's approach to solving problems, supporting and optimizing the infrastructure programmatically. You will work with your team to improve the overall availability, reliability, performance, and security of the infrastructure under your management. This is very much a part of the team role. You will be expected to be working in as part of your team, working with then collaboratively on projects and systems. You will need to develop a deep technical understanding of our systems and help grow and mentor your team.
Key Responsibilities:
Manage, a team of diverse engineers in multiple, global, locations.
Work collaboratively with your team to plan their work and ensure that everyone knows what they should be working on.
Work with teams across and the wider Thales Business Unit to ensure we are providing services and tools that they need.
Work with the PMO to plan and execute projects.
Apply SRE & DevOps principles to eliminate toil, and improve reliability.
Work cross functionally as needed to troubleshoot and resolve business affecting issues.
Respond to escalations, help with incident response, RCAs, provide management of and follow up from postmortems.
Establish metrics for data-driven decisions to help increase availability, reliability, and velocity.

We're looking for an experienced Senior Backend Engineer to join our UVM team. Reporting to the Senior Manager, Software Engineering, you'll be responsible for:
Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java /Spring Boot and participate in design from scratch to production
Delivering high quality features for our high-scale web environment
Monitoring the performance and cost of the services in production
Staying up-to-date with industry trends and best practices to improve our technology stack and development processes
Integrating with other team members (backend/frontend/product/UX)

We're looking for an experienced DevOps Engineer to join our DLP+ SSPM team. Reporting to the Director, Engineering you'll be responsible for:
Developing and maintaining CI/CD pipelines.
Automating infrastructure and deployment processes.
Driving operational excellence by implementing best practices for workflows, processes, and organizational efficiency.
Optimizing costs and promoting the sustainability of multiple production workloads.
Collaborating across teams to streamline development and operational workflows.

We are looking for a Cloud Engineer to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.

Join our AI team to drive mobilitys future! As Data Analyst & Operations Manager, youll optimize data workflows, lead annotation, and enhance algorithm performance to advance Vision AI.
RESPONSIBILITIES:
Model Evaluation
Work closely with the research team to evaluate model performance and define optimal operating points using precision, recall, and other ML evaluation metrics.
Annotation Management
Oversee annotation processes and manage the annotation team to ensure high-quality labeled data and streamlined workflows.
Database Management
Manage and maintain internal research databases for data-driven decision-making.
Cloud Infrastructure
Develop, maintain, and optimize cloud-based data infrastructure (AWS, GCP).
Benchmarking Framework
Build and maintain a benchmarking framework for continuous algorithm performance evaluation, including human-in-the-loop pipelines.
Dataset Curation
Curate training and testing datasets by querying databases and annotations, and by running data quality and auto-labelling tools.
Model Execution
Run algorithms and deep-learning models at scale.

We are looking for experienced developers to join its core architecture and platform group. The architecture group researches, designs, and implements the building blocks upon which the product is built and executed. This includes. among many other things, the application infrastructure for our different services and our data ingestion architecture.
You will be responsible for:
The most fundamental components of our system, whether it is the cloud infrastructure or the different common software solutions used by developers.
Developing system-wide solutions to be used by the product development teams.
Developing scalable long-term solutions.
Detecting opportunities to improve R&D efficiency and the reliability of our systems by improving and expanding the common infrastructure of our product.
Researching new technologies and solutions with the potential to be incorporated into our product.

We are looking for a skilled and motivated Engineering Tech Lead to join our Data Science Engineering team. The ideal candidate will have a deep understanding of software development and the ability to guide technical solutions. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams. As an Engineering Tech Lead, you will play a crucial role in exploring and investigating solutions and technologies, contributing to technological and architectural decisions with a hands-on approach.

What Youll Do:

Develop and maintain software infrastructure and solutions to support the efficient development, deployment, and maintenance of machine learning models and our surveillance pipe solution in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models and a fully integrated scalable solution.
Design and implement software architecture for machine learning solutions.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning, software development, and related technologies.

Were looking for a highly motivated and experienced Kubernetes Engineering Manager to lead a team of super-talented engineers in building scalable, cloud-native solutions.
This role combines strong technical leadership with hands-on engineering workperfect for someone who thrives on both people and code.
As the manager, youll oversee the teams day-to-day operations, ensure smooth sprint execution, promote effective use of Jira, and maintain a high standard of technical excellence. Youll also be deeply involved in solving complex technical challenges using Go and Python in a modern cloud-native environment.
This is a hybrid role.
What Youll Own:
Lead the Kubernetes engineering team working on Zestys core, flagship product
Drive high-impact, cloud-native development initiatives
Shape technical architecture and direction alongside the Tech Lead
Mentor team members and support their growth
Oversee sprint planning, execution, and Jira-based task tracking
Tackle technical and organizational challenges proactively

Were looking for a passionate Backend Engineer to join our growing Payments OS Team. You'll have the opportunity to work with the most professional people on building new payment solutions for our growing business, from design and development to testing and production.
We use the latest technologies and architecture, with Java, hosted on AWS Cloud and orchestrated with Kubernetes for both development and production.
The Team:
We are reshaping global payroll and payments with its advanced cloud-based platform. At the heart of this transformation is our Payments Team, driving the development of secure, scalable, and high-performance solutions that streamline global transactions for businesses in over 160 countries, ensuring compliance, transparency, and on-time delivery.
As part of the team, you will work closely with Payment Architects, Product Managers, and Infrastructure Leads to design and implement robust backend services, intuitive front-end applications, and complex integrations that elevate our platform's capabilities. You'll be instrumental in shaping the future of global payment processing and enhancing our clients' experiences.
You Will:
Design and implement backend solutions for payment processing, ensuring reliability, scalability, and security in global transactions.
Take an active role in defining architecture and enhancing the capabilities of our payment products.
Ensure high-quality code, including automated testing, design reviews, and code reviews.
Stay up-to-date on the latest technologies and design patterns in development and testing.
Work in a collaborative environment with architects, product managers, and fellow developers to deliver robust solutions.

Senior Embedded SW engineer

We are looking for a Senior Software Engineer to join our Core Team. This position is part of Boomi following its recent acquisition, a cloud-based DataOps platform. While now under Boomi, the role remains within team, working closely with our experts in data integration and automation.
Please also note that this is a hybrid office/remote role where you will work at least 3 days per week from our Ramat Gan, Israel office; and 2 days from home.

In this role you will

Be part of a backend technology team which is responsible for both streaming and batch pipelines.
Develop End-to-end features from design to implementation.
Take part in high-scale solutions for Big Data challenges.
Have a significant impact on a fast-growth and dynamic product in the BigData world.
Work with RDMBS/MongoDB CDC infrastructure and Kafka.
Work and collaborate with Software engineers, Architects, Product Managers, and DevOps to create an amazing product.
Our technology stack: Python, MongoDB, AWS, DynamoDB.

We are seeking a highly skilled and experienced Senior Software Developer to join our team. As a Senior Software Developer, you will be responsible for designing, developing,
and maintaining the backend components of our software applications.
**Working in a hybrid model! ( two days from the office, three days from home. )**
Responsibilities:
Designing and developing SaaS application from concept to deployment.
Collaborating with cross-functional teams to gather requirements and define project objectives.
Developing efficient and reliable backend systems using Java, and other related technologies.
Design and implement efficient, reusable, and scalable backend and frontend features
Optimizing application performance and ensuring scalability and reliability.
Creating and maintaining databases, writing efficient queries, and ensuring data integrity.
Collaborating with other developers and teams, participating in code reviews to maintain code quality and best practices.
Leading and contributing to proof-of-concept initiatives focused on artificial intelligence applications, demonstrating the feasibility and value of AI solutions for business challenges.
Practicing in modern AI driven development methodologies
Staying up to date with emerging technologies and trends in software development.