דרושים » מערכות מידע » System Analyst

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.

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.

As we continue to grow, we are looking for a talented and experienced Backend Developer to join our Infrastructure Team and play a key role in shaping the foundation of our products.

Responsibilities
Work closely with architects, product managers, and cross-functional teams to design, build, and enhance the infrastructure powering our products
Provide long-term solutions for deep and complex problems affecting multiple teams/products, ensuring high performance, scalability and maintainability
Full ownership of the entire development cycle, including requirements gathering and refinement, design, development, testing, deployment and maintenance
Research, evaluate, and recommend new technologies, creative solutions and architectural approaches with cross-organizational impact
Take ownership of infrastructure design and implementation, optimizing for hybrid deployment models (SaaS, on-prem, cloud)
Deliver design and code that meet high standards of quality, efficiency and flexibility
Troubleshoot and debug backend issues and provide timely resolution

We are seeking an experienced, solution-focused professional to join our Business Analyst team in Tel Aviv. In this role, you will act as the primary point of contact and subject matter expert for deploying ' product within our clients. This position blends analytical insight with technical proficiency as well as strong client-facing communication. You will lead the implementation lifecycle, guide financial institutions innovation teams through onboarding and customization, and ensure the effective delivery and continued success of offerings.

Responsibilities
Serve as the primary contact for a portfolio of financial institutions throughout the entire implementation lifecycle.
Lead client onboarding and provide strategic guidance (including on-site workshops), ensuring a comprehensive understanding and effective use of solutions.
Conduct detailed data analysis, including data mapping and integration processes, validating insights, and driving data remediation processes.
Perform performance monitoring and statistical analysis to optimize and enhance product usage, client satisfaction, and overall effectiveness of deployed solutions.
Respond to Business and Functional requirement requests
Design and write functional specs for customer requirements
Support the implementation team during users acceptance test
Work closely with business and technology units
Research, analyze and organize big data from both technical and business perspective
Analyze, specify, and validate new business requirements and participate in new product designs

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.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal.
But how many of us truly understand the effort that goes on behind the scenes? Here we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease. Our technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the data Team:
Our data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
 
On your day to day Were looking for a RevOps Analyst who is proactive, curious, entrepreneurial, and passionate about driving sustainable revenue growth. You will have a direct impact on aligning the companys revenue teams, and become a partner in optimizing the entire B2B revenue engine. You will collaborate closely with C -level, using your analytical skills and business understanding to uncover inefficiencies and opportunities that accelerate growth across the customer lifecycle.
* Proactively identify cross-functional growth and optimization opportunities that Sales, and CSM teams can quickly act upon.
* Lead projects such as pricing optimization, activation funnel analysis, go-to-market strategy, and deriving insights from our current customer base.
* Define and track input and output metrics across the revenue organization to measure performance and drive accountability.
* Build scalable data products and processes that support B2B revenue operations from the ground up.
 
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, this is your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if thats not enough, we guarantee that your ideas will genuinely make an impact.

Were looking for a Data Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of our company.
What you will be doing
You will have the chance to work with multiple teams (Marketing, Product, Sales, etc.) doing the following:
Analyze customer and user behavior and inform the teams in order to influence strategy and trajectory.
Collaborate with the team, define KPIs and measure the impact of their teams on our company performance.
Design, execute, and analyze A/B tests to measure the impact of changes and refine strategies.
Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
Play a key role in understanding our users and their needs.
Lead the development of innovative data products.
Stay updated on industry trends and best practices in data analysis and user journey optimization.

Were looking for a RevOps Analyst who is proactive, curious, entrepreneurial, and passionate about driving sustainable revenue growth. You will have a direct impact on aligning the companys revenue teams, and become a partner in optimizing the entire B2B revenue engine. You will collaborate closely with C-level, using your analytical skills and business understanding to uncover inefficiencies and opportunities that accelerate growth across the customer lifecycle.
Proactively identify cross-functional growth and optimization opportunities that Sales, and CSM teams can quickly act upon.
Lead projects such as pricing optimization, activation funnel analysis, go-to-market strategy, and deriving insights from our current customer base.
Define and track input and output metrics across the revenue organization to measure performance and drive accountability.
Build scalable data products and processes that support B2B revenue operations from the ground up.

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 Data Analyst in this team, you will be the owner of some of the companys most critical datasets and work closely with software engineers in a highly technical environment to design, monitor, and improve data pipelines. Youll combine analytical skills with technical curiosity, ensuring data is accurate, reliable, and scalable for use across the company.
This role is ideal for someone who enjoys analysis while also engaging with the systems and technologies that power the data itself.
What youll do
Research data sources and design metrics, dashboards, and tools to boost visibility and utilization of our datasets.
Perform ongoing data QA, define quality KPIs, and proactively flag anomalies.
Partner with engineers to shape and validate data flows, contributing to the design of complex acquisition projects.
Troubleshoot and debug data issues by diving into pipelines, scripts, and logs.
Act as a subject matter expert for the datasets we deliver, supporting other teams across R&D and Product.