דרושים » הנדסה » Java Software Engineer- Privacy

We own, develop, and continually optimize an intricate system of digital assets, contents, and infrastructures, all contributing to our digital advertising ecosystems. Our products and digital content range from utility applications, habit-tracking mobile apps, and gaming apps, to native advertising ad tech. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. Impact and Responsibilities
* Design, develop, and implement high-quality software solutions using JAVA and AWS services.
* Lead and implement advanced infrastructure-related tasks, including setting up and maintaining CI/CD pipelines, preferably with Jenkins, and managing deployments and containerization with AWS ECR and ECS.
* Collaborate with cross-functional teams to define, design, and ship new features.
* Write well-designed, efficient, and testable code.
* Conduct software analysis, programming, testing, and debugging.
* Troubleshoot and resolve issues in existing software.
* Analyze and study complex system requirements, prepare design documentation.
* Write technical specifications based on conceptual design and stated business requirements.
* Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
* Participate in code reviews to maintain code quality and share knowledge.
* Maintain and enhance unit tests to ensure the various components / microservices quality

We are looking for a skilled and motivated Big Data Engineer to join our backend data infrastructure team. You will be at the core of Finals data ecosystem, building and maintaining high-performance data services and pipelines that support both real-time and batch workloads. Your work will directly impact how data is accessed and leveraged across the company from live production environments to ML training pipelines. You will design and maintain systems that span hybrid infrastructure (on-prem and cloud), and ensure our data platform is fast, reliable, and scalable. We value engineers who are curious, open-minded, and excited to learn new technologies and practices as the landscape evolves.



As a Big Data Engineer, you will:

Design, implement, and maintain backend services for managing and processing large-scale data.
Build and operate production-grade data pipelines and infrastructure.
Develop utilities ,libraries and services to support high-throughput data retrieval and access patterns.
Ensure observability, stability, and performance of data services in hybrid (cloud/on-prem) environments.
Monitor and troubleshoot issues in live systems and continuously improve their robustness.
Work cross-functionally to ensure data is accessible, well-modeled, and easy to consume by other teams.

We are looking for a strategic and hands-on Software Developer Engineer in Test (SDET), for our Quality Engineering Department to lead the development of cutting-edge automation solutions. This role is pivotal- join us in leading the transformation of our automation strategy and redefine how we build, test and deliver secure software at scale.
Key Responsibilities :
Design and implement comprehensive system-level and end-to-end automated test suites that ensure broad and deep coverage across our product ecosystem.
Create automated test frameworks, design and implement test cases, and write code to improve software testability
Drive the adoption and implementation of automation-first and shift-left practices, embedding quality into every stage of the development lifecycle.
Collaborate closely with R&D, DevOps, Project Managers and Product teams to integrate testing into CI/CD pipelines and production environments.

We are looking for a Senior Full stack Engineer.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Who are you?
You are a passionate full stack software engineer with a strong orientation for both frontend and server development, who knows how to deliver high-quality software which is high-performing, scalable, readable, testable and maintainable with minimal bugs.
You value engineering excellence and write testable, clear and reusable code.
You think freely and independently and happy to share your view.
You are self-motivated and self-managed, able to take ownership of your work and work in a scrum team.
What youll do?
Drive Innovation: Design, develop, and maintain our web application using Angular, C#, and SQL/ NoSQL.
Collaborate Cross-Functionally: Work with product managers and UX/UI teams to refine and enhance secure product requirements.
Mentor and Grow: Guide and support junior developers, fostering a culture of continuous learning and security awareness.
Stay Ahead: Keep up with the latest tech trends to drive product evolution and maintain security vigilance.
Build with Security at the Core: Ensure every line of code contributes to a secure, resilient platform.
Champion Quality: Implement automated tests to deliver a high-quality, robust product.

We are seeking a skilled ML Engineer to design, build, and deploy advanced ML solutions that drive analytics, anomaly detection, and data classification across enterprise-scale environments.
This role will focus on developing and optimizing models, including LLMs and prompt engineering pipelines, and ensuring seamless integration into production workflows spanning cloud-native, on-premises, and Databricks ecosystems.
Key Responsibilities :
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

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 ML Engineer.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Design, build, and deploy ML models for user behavior analytics, anomaly detection, and data classification across enterprise environments.
Collaborate with data scientists, software and data engineers to integrate ML models into production pipelines, cloud-native environments, on-premises, and Databricks workflows.
Develop, fine-tune, and evaluate LLMs and prompt engineering solutions for data classification, labeling, and threat analysis features.
Optimize models using techniques like distillation, quantization, and efficient data structures to boost performance and lower resource cost.
Build high-performance data inputs using embeddings, vector databases, and distributed training frameworks.
Manage model lifecycle and performance via MLOps best practices: monitoring, retraining, and deploying updates.
Partner with data scientists, cybersecurity researchers and product teams to evaluate and refine ML-driven capabilities.
Conduct experiments and benchmark results in fast-paced, data-intensive environments.

Were looking for a passionate Software Engineer to join our growing Payments OS Team. Youll have the opportunity to work with the most professional people on building new payment solutions for rapidly 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.
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.

We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly - youre passionate about what you do and about making things better.
We develop event-driven systems and real-time APIs that are used widely across and written mostly in Node.js, Go, and Python. Some of the technologies we work with include: Apache Kafka, K8S, managed AWS services (RDS, CloudFront, Athena, ElastiCache, etc), DataDog, and GraphQL.
What you'll do:
Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.

We are seeking a talented and motivated Software Developer to join our growing team. As a developer, you will have the opportunity to work on diverse projects, collaborate with experienced professionals, and contribute to the development of innovative software solutions.

Key Responsibilities:
Design, develop, and maintain high-quality software applications.
Collaborate with cross-functional teams to define, design, and ship new features.
Write clean, maintainable, and efficient code.
Participate in code reviews and contribute to improving our development processes.
Troubleshoot, debug, and upgrade existing systems.
Stay up-to-date with emerging trends and technologies in software development.