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Join a team of highly motivated developers to work together to fill At-Bays growing software and scaling needs.
Work on a range of customer-facing and internal projects, including scaling up our web-based and infrastructural software and internal security and insurance tools.
Directly work on matters that are critical to the company, building software that is used actively by our insurance team and our customers whilst solving challenging software problems.
Writing well-tested, organized and robust code to support a rapidly growing organization.
Proactively taking on software tasks to give efficient turnaround to the requirements of the rest of our international company.
Work in a modern software environment with continuously deployed and integrated code in our cloud-based infrastructure.
Taking responsibility of your code, quickly responding to bugs and making sure new and existing software runs smoothly.
Communicating and working openly with other developers to solve problems and produce high-quality code.

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

We are looking for a skilled developer with significant experience in creating algorithm-based systems, especially in complex environments. You will lead the technical development of a robust routing and scheduling service, working closely with US-based teams.

Responsibilities:

Lead Development: Take charge of the development process for the routing and scheduling services, ensuring it meets performance and efficiency requirements.

Algorithm Optimization: Apply your deep knowledge of C++ to optimize algorithms and data structures for efficient routing and scheduling.

AWS Cloud Integration: Utilize your expertise in AWS cloud services to design, deploy, and manage cloud-based components of the routing scheduling service.

Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and data scientists, to gather requirements, provide technical insights, and drive project success.

Code Quality: Maintain and improve the codebase by implementing best practices, code reviews, and refactoring when necessary.

Troubleshooting: Identify and resolve complex technical issues, ensuring the service's reliability and performance.

Documentation: Create and maintain documentation for code, design, and processes.

JR314436

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.

We are looking for a Backend Software Engineer to join our growing team. Youll help design and build a complex SaaS platform that integrates with security systems, on-prem tools, and a powerful calculation engine, all while providing the best user experience. In our team, youll work closely with colleagues across Product, Cyber, DevOps, and QA to continuously deliver impact. Its a startup vibe inside a big company: fast-moving, hands-on, and full of opportunities to grow. You'll deepen your skills in architecture, scalability, and secure system design and help shape something that matters.

As a Backend Software Development Engineer, you will:
Plan and design high-quality backend solutions, ensuring quality through strong architecture and comprehensive testing.
Build various core components integrated as a whole product:
Extensive and stable integration solutions to both internal and external cyber sources and systems.
Improve, validate, and innovate algorithms, calculations and analytics throughout all system components and integration points.
Work in a fast-paced and agile work environment with business-oriented delivery focus.
Communicate with team members, other technical teams and management to collect requirements, identify tasks, provide estimates and meet production deadlines
Proactively self-learn, maintain, and troubleshoot all existing system components to ensure smooth and reliable operation.
Review and rewrite legacy code to latest technologies.

As the Senior Director of Engineering , you will lead the Agentic AI revolution within our core platform. Your primary mission is to ensure our intelligence platform is ready to power the next generation of AI agents, driving the paradigm shift from one-way campaigns to real-time, two-way conversations that maximize customer lifetime value.
Your Responsibilities Will Include:
Pioneer Agentic AI: Define the engineering vision and architecture for our autonomous AI agents, ensuring they can ingest unified marketing data, execute complex attribution, and optimize campaign spending in real-time.
Scale the Data Core: Own the design, operation, and reliability of our massively scalable, distributed data platform. Ensure seamless ingestion and processing of billions of data points from 170+ sources to build the trusted foundation for all AI initiatives.
Lead a Global R&D Team (70+): Lead and mentor an organization of approximately 70 engineers and managers globally. Cultivate a high-velocity culture defined by technical excellence, ownership, and career growth.
Drive Executive Influence: Collaborate closely with Product Management, Architects, and global leadership to translate market demands into shipping code that delivers measurable business transformation for our customers.

We are looking for a talented Software Engineer to join the Mastercard Foundry Research and Development (R&D) team in our Tel Aviv. In this role you will be part of a highly agile team building exiting and innovative products delivered at scale to global markets.

Our team is built on a foundation of research and development, mining innovation internally, innovating new product lines with emerging technology, managing new products from inception to market validation and engaging strategically with start-ups to shape the future of commerce with and for our customers. At Mastercard you will help define the future of commerce and security solutions globally.

This team will have a diverse focus both in terms of geography and variety of technology challenges driving hard to bring innovative payment solutions to market.

Role:
This role involves working with a team of talented developers to develop high performance Java based solutions. In this role, you will be responsible for:
Design and implementation of innovative capabilities.
Work as part of an agile team.
Work closely with technical leads and other developers to define solutions.
Research alternative technical solutions to meet changing business needs.
Produce design and research documentation.
Transitioning R&D solutions to Mastercard core.

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

This is a senior leadership role focused on technical excellence and innovation. You will mentor a talented team of engineers and scientists, guide the end to end technical strategy from innovative research to production deployment and ultimately define the art of the possible for our most critical operational systems.

Responsibilities:

Lead the design and architecture of complex, end to end AI systems, guiding projects from initial conception and research through to production deployment and impact analysis.

Own the technical vision for the next generation of intelligent automation, creating patented technologies that directly impact Salesforce Field Service's core competitive advantage and market differentiation.

Provide technical leadership and set the strategic direction for the research and development of novel optimization and machine learning solutions.

Drive fast paced experimentation by independently or collaboratively prototyping solutions that showcase how new AI technologies can address real world business challenges. Collaborate with cross functional teams to translate prototypes into actionable solutions and define incremental delivery plans for implementation.

Mentor and guide a team of AI developers and scientists, fostering a culture of innovation, technical excellence, and continuous learning.

Stay at the forefront of academic and industry advancements by attending top tier conferences, networking with experts, and continuously learning about the latest in optimization, AI, and large language models (LLMs) to identify, evaluate, and apply emerging techniques that drive a significant competitive advantage.
JR314441

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 Territory Account Executive, you will be responsible for selling Salesforce solutions into various visible accounts within the Public Sector territory.

Key Responsibilities

Build, share, and implement an account plan with an extended team to deliver maximum revenue potential.

Collaborate across teams with sales specialists, solution engineers, business development representatives, customer success managers, engagement managers, strategic advisors, partner account managers, and marketing.

Guide complex sales processes, engaging senior executives to demonstrate the value of Salesforces full suite of solutions.
JR313822

Promote the Salesforce vision through product demonstrations, in-market events, and account-specific strategic initiatives.

Forecast sales activity and revenue accurately while ensuring customer satisfaction and long-term success.

Oversee and manage the entire sales process within your territory, from pipeline development to deal closure.

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

Were seeking a hands-on, passionate BI Team Lead to join our fast-paced, data-driven environment. We'd love to meet you if youre excited about shaping how a company interacts with data and building impactful dashboards that drive decisions.



Description

Lead, grow, and mentor a team of BI engineers and platform specialists, driving a culture of high performance, collaboration, and continuous improvement.
Take full ownership of the data warehouse and BI layer, ensuring the data infrastructure is reliable, scalable, and supports all downstream use cases.
Solving problems and creating ETL pipelines using Python.
Model and maintain the data warehouse, including dimensional models and semantic layers that serve analysts and BI users across the company.
Act as the focal point for all dashboard creation efforts, collaborating with cross-functional teams (product, analytics, management and business stakeholders) to define and implement data visualization solutions.
Administer and manage the infrastructure of our BI tools (such as Looker, Tableau, Power BI, etc.), including user management, permissions, performance optimization, and integrations.

Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Optimize and monitor the team-related cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.
Implement CI/CD for Data Workflows

Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation.
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems.
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes.
Our stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Micro-Services, bash, Python, SQL.