לוח משרות דרושים מתכנת JAVA

we are looking for a JAVA Expert to join our new product initiative in data processing and analysis infrastructure.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."
- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

Our teams mission is to build world-class messaging and networking infrastructure, empowering a state-of-the-art microservices architecture in both cloud and hybrid environments.
By joining our team, you'll be taking ownership of driving the development of advanced communication channel services across diverse platforms. You'll be at the heart of innovationenabling containerization, embracing the agility of cloud technologies, and thriving in a fast-paced development cycle. Collaborating with various groups, your work will exert significant influence and leave a lasting impact.
Key Responsibilities:
- Develop robust, high-performance services, libraries, and SDKs.
- Enable seamless communication between microservices.
- Design, implement, and maintain scalable solutions using C#, Docker, Cloud, and microservices.
- Collaborate on cross-functional interfaces and maintain strong relationships across teams.
- Participate in rapid deployment cycles, ensuring efficiency and quality.

we are looking for a JAVA Expert to join our new product initiative in data processing and analysis infrastructure.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."
- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We are looking for a Java Software Engineer- Privacy.
Responsibilities:
Design, develop, and maintain Java-based & .Net based microservices
Ensure backend components are high-performing, stable, and scalable across cloud environments
Collaborate with product managers and cross-functional engineering teams to deliver integrated solutions
Write and maintain clean, well-tested, and secure code following industry best practices

Servers SW group is looking for an Automation Developer.



Responsibilities
What you will be doing:

Develop and maintain automated tests for desktop and web applications, covering multiple interfaces such as UI, REST APIs, and the semiconductor industrys standard SEC protocol. The automation scope also includes performance and stress testing.
Design and enhance an automation server to orchestrate complex test scenarios. The server provides a user-friendly UI for test maintenance and generates execution statistics to continuously improve automation quality and efficiency.
Create new automated tests to expand coverage and ensure validation of new product features.
Analyze automation reports and results to identify issues, track quality trends, and provide actionable insights to the development and QA teams.

Our ideal candidate is passionate about crafting a new product to serve thousands of enterprise customers by using innovative technology and striving for the best quality and throughput.

As part of this role, you will:

Architect, design, implement, test, and deliver highly scalable products.
Master our development process, culture, and code base, then improve it.
Operate effectively in the hybrid engineering model where engineers are expected to be able to design and implement the necessary work to ensure quality in their own code as well as other engineers.
Mentor others in development technologies, tools, and processes
Present your own designs to internal/external groups and review the designs of others
Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics

JR315373

The performance engineering team for Service Cloud specializes in a deep understanding of its features, system architecture, usage patterns & traffic; and uses this knowledge to drive synthetic transactions for performance and scale insights. The team engages in analyzing complicated performance and scale challenges by developing various test models to simulate production traffic and to project growth. This is a great opportunity for engineers who are seeking to build & grow their career in performance engineering as well as to develop scaling and optimization insights on complex cloud applications. In this role, they will get software development opportunity to build tools and frameworks to measure, analyze, and optimize performance and scalability.

Responsibilities:

As a Performance Engineer with the Service Cloud team you will be responsible for:
Work closely with management, product owners, developers and quality engineers to understand product requirements, business use cases and to design appropriate performance/scalability simulations to measure and analyze performance and obtain insights into scalability and solve potential bottlenecks.
Participate in discussions and planning with other members of the engineering and product teams.
Design and implement scalability, stability, stress, reliability, availability, and longevity simulations using industry standard tools and custom developed software.
Encourage sound design principles that result in optimal code and non intrusive instrumentation.
Champion the definition of appropriate SLIs/SLOs appropriate service monitoring.
Mentor engineers in the organization.
Influence architecture by offering solutions for performance and scale challenges.

Your responsibilities also include creating and supporting reusable application components and patterns, considering both business and technology perspectives. You'll utilize developer tools and a range of AWS services for task management, source code handling, building, deployment, operations, and real-time communication. You are expected to demonstrate advanced skills in application design, implementation, and maintenance, often with minimal supervision.

Beyond technical tasks, you will mentor other engineers, sharing your knowledge and actively contributing to the enhancement of best practices and processes within and across teams.

Responsibilities:

Design, build, and maintain the scalable cloud infrastructure and CI/CD pipelines necessary to support our cutting-edge AI and optimization services.

Champion Infrastructure as Code (IaC) practices using tools like Terraform and Kubernetes to automate the deployment, scaling, and management of our production environments.

Implement robust monitoring, logging, and alerting systems to ensure the high availability, performance, and reliability of all services.

Partner with development teams to streamline the software development lifecycle, improve deployment velocity, and embed best practices for security and operational excellence.

JR314438

As an AI Developer on our Optimization team, you will play a key role in advancing our core optimization capabilities by infusing them with cutting-edge artificial intelligence.

Our team is on a mission to significantly enhance our existing, high-performance optimization engine. You'll tackle a diverse range of complex problems - including optimization of vehicle routing and scheduling - for our customers at a massive scale.

You will join our team at a pivotal moment and be an integral part of building our next-generation AI/ML capabilities from the ground up. As a key contributor, your responsibilities will span the entire model lifecycle, from augmenting our current optimization models with advanced AI to implementing the infrastructure for their deployment and monitoring.

You will apply state-of-the-art techniques such as Deep Reinforcement Learning (DRL), predictive analytics, and Graph Neural Networks (GNNs), all while working with rich datasets including Geographic Information System (GIS) data.

Another core part of your role will be implementing best practices for safe AI/ML rollouts. You will help build and maintain robust A/B testing frameworks and canary deployment strategies, ensuring our innovations reach production safely and effectively.

In this highly collaborative position, you will work closely with other engineers and scientists, as well as cross-functional product teams in the US, to bring these intelligent services to life.

Responsibilities:

Develop, implement, and deploy state-of-the-art optimization models and machine learning algorithms to solve complex business problems like vehicle routing and resource scheduling.

Design and build robust, end-to-end MLOps pipelinesfrom data ingestion and feature engineering to model training, validation, and serving in a production environment.

Translate complex scientific concepts and research papers into production-quality code, primarily using Python and leveraging frameworks like PyTorch and optimization libraries.

Conduct rigorous offline and online experiments to validate model performance, ensuring that solutions are statistically sound, reliable, and deliver measurable business impact.

As a Backend Software Engineering, your job responsibilities will include:

Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
JR313572

The DevOps Engineer is a key member of the DevOps Team.

As a DevOps Engineer, you will be part of the entire R&D chain, define the deployment processes, orchestrate the provisioning of new services, design and tune the infrastructure to support the growth of our engineering and application scale, and develop tools to increase productivity across teams.

Our Stack

Kubernetes, Micro Services from all the flavors (NodeJS, Python, Kotlin, etc.), GitHub, Bitbucket, Kafka, Redis, RabbitMQ, Postgres, Apache Spark, Cloud Infrastructure, Jenkins, RunDeck, Terraform, MongoDB, Docker, Linux.

Were looking for a Senior Full Stack Developer to join our applications platform development as part of BioCatch's Applications Group.



Responsibilities:

Design, implement and maintain applications and web services within the Applications Groups ecosystem.

Design and implement testable and maintainable software solutions using both front-end and back-end technologies.

Come up with innovative ideas and recommend software improvements to existing applications.

Work closely with product managers and transform product and user requirements into technical tasks.

Build the team's domain expertise and assume product ownership.

Join the Workload Availability team as a Software Engineer in Ecosystem Engineering. Your core mission is to safeguard the stability and availability of mission-critical workloads on our OpenShift by developing and integrating robust proactive and reactive remediation mechanisms. You will focus on the complex challenges of node health checking, automated fencing, and self-healing within the cluster, ensuring these critical availability features integrate seamlessly with the diverse ecosystem of third-party hardware, cloud platforms, and infrastructure providers.

What You Will Do

Maintain critical components, controllers, and operators (primarily in Go) responsible for detecting, diagnosing, and automating the recovery of unhealthy cluster nodes on OpenShift.

Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and software release process using Konflux CI/CD system.

Develop intelligent node mechanisms to accurately determine a node's operational status and trigger the appropriate self-healing or external remediation actions.

Contribute upstream to projects that focus on Kubernetes-native machine and node remediation to advance the platform's self-healing capabilities.

Troubleshoot and resolve complex cross-ecosystem availability and reliability failures, requiring deep debugging into kernel-level behavior, cloud infrastructure APIs, and Kubernetes control plane logic.

Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

The Chip Test Engineer plays a crucial role in designing, developing, and implementing automated test for IC chips and systems for Automotive industry. The Test Engineer is responsible to define and develop tests, design test features, program test scripts, and analyze test results to ensure the quality and functionality of products. The Test Engineer collaborates with cross-functional teams to troubleshoot issues, improve test processes, and support product development efforts.

Responsibilities
Develop and implement test strategies, plans, and procedures for ATE systems to ensure comprehensive testing of ICs.
Design and develop test features, test programs, and test scripts for automated test environment (ATE) based on product specifications and requirements.
Collaborate with design engineers, product manager, production vendors and manufacturing teams to understand product functionality, performance requirements, and testability considerations.
Conduct feasibility studies and risk assessments to identify potential challenges and develop mitigation strategies for test development and implementation.
Develop test program based on code languages C++ , Java and Python.
Debug, troubleshoot, and resolve issues with ATE hardware, software, and test scripts to ensure reliable and accurate test results.
Analyze test data and results to identify trends, anomalies, and potential defects, and provide feedback to design and development teams for product improvement.
Develop and maintain documentation for test procedures, specifications, and configurations.
Collaborate with vendors and suppliers to evaluate and select ATE equipment, components, and software tools that meet project requirements and performance standards.
Stay abreast of industry trends, advancements in test technologies, and best practices in automated testing to drive continuous improvement in test processes and methodologies.