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Join our group of DevOps engineers, where we address large-scale challenges and drive innovation through cross-organizational projects. We design scalable and resilient solutions, implement cutting-edge technologies, and optimize automation to enhance reliability and efficiency.
Our team establishes best practices, creates guidelines, and promotes a strong DevOps culture across R&D. Design, implement, and operate large-scale, complex environments, ensuring high availability, seamless scalability, and optimal performance across diverse systems.
Job Responsibilities:
Lead and contribute to cross-organization DevOps projects.
Establish and enforce best practices for DevOps and R&D teams.
Research and evaluate new tools, technologies, and methodologies to improve DevOps processes.
Develop and maintain scalable and resilient infrastructure solutions.
Build and optimize CI/CD pipelines and deployment strategies.
Work closely with R&D teams to enhance service reliability, scalability, and performance.
Responsible for Kubernetes multi-cluster lifecycle management.

we are looking for a Software Architect.
What youll be doing:
Define and drive the groups tech vision, roadmap, and innovation strategy
Set technical guidelines and promote R&D best practices
Lead AI/ML integration across SDLC-LLMs, personalization, experimentation, and recommender systems
Mentor teams and drive major technical initiatives
Serve as primary technical escalation point
Hands-on with POCs, tech research, code reviews, and production health
Partner with CTO and stakeholders on key decisions
Foster a culture of innovation through knowledge sharing and open source
Evaluate and integrate emerging technologies into product roadmap

We are constantly growing and are excited to share that we are looking for a Backend Developer to join our team!
What youll be doing:
Design and develop 24/7 high-scale, low-latency distributed systems.
Develop backend components and services using C# and .NET Core.
Lead design efforts: write technical design documents and facilitate design review meetings.
Tackle technical challenges related to performance, fault-tolerance, security, and live production issues.
Work as part of a CI/CD-driven team and take full ownership of the development lifecycle, including design, development, testing, deployment, and production monitoring.

We are seeking a highly skilled and detail-oriented Data Analyst / BI Developer to lead the maintenance, enhancement, and optimization of existing data reports used across our trading operations. This role is critical to ensuring our data infrastructure supports decision-making at scale - with reliability, performance, and accuracy.
You will work closely with trading stakeholders, data engineers, and other analysts to maintain business-critical dashboards and reporting pipelines, improve performance, and incorporate evolving business logic.
What will you be doing?
Maintain and troubleshoot existing reports and dashboards (e.g., Tableau, Power BI, Looker, or internal tools).
Optimize SQL queries and backend data transformations for performance and scalability.
Audit data pipelines to ensure consistency and reliability across time.
Collaborate with trading and product teams to gather evolving business needs and translate them into reporting logic.
Implement automation and documentation for report lifecycle management.
Monitor data anomalies and work proactively to resolve data issues.
Support version control and change management processes for reports.

we are one of the most popular and downloaded apps in the world. Working with us means influencing hundreds of millions of users and shaping the journey toward becoming a true super-app. Our mission is to make peoples lives easier by enabling meaningful connections - from special moments with friends and family, to building businesses and pursuing passions. Were looking for a Revenue data Analyst who combines strong business skills with a strategic mindset and curiosity for how data drives revenue and growth in social mobile apps. Youll partner closely with sales, marketing, and operations teams to turn data into clear sales and marketing insights and measurable business impact. If youre passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; wed love to hear from you!
Responsibilities:

* Identify opportunities for improvement through data analysis aligned with company strategy and revenue KPIs.
* Partner cross-functionally to translate data findings into actionable business and marketing decisions.
* Design, run, and analyse A/B tests to evaluate sales strategies and revenue monetization.
* Build, automate, and maintain dashboards and reports to track sales insights, business behaviour, and key trends.
* Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
* Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe. As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale. You will have a chance to grow and develop professionally by owning data-driven projects from the research phase through to production, collaborating with highly experienced researchers.

Responsibilities:

* Develop classical machine learning and deep learning models that will impact company goals directly.
* Work with partner teams to design and implement solutions in recommender systems, classification and prediction for given objectives.
* Find solutions to complex problems in social network recommendations, understand the data generation process and the challenges involved with working with big data.
* Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Advantages:

* Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
* Experience in developing deep learning graph model solutions.
* Experience with managing and utilizing datasets at the scale of 10s of TB.
* Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
* Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations.
* Strong business acumen or prior industry experience within the social media or messaging space.

Hashavim 360 is a leading fintech information provider, delivering digital solutions in labor law, taxation, finance, welfare, and pensions. We are looking for a is looking for a Chief Technology Officer (CTO) with strong leadership skills and deep technical expertise.
Responsibilities:
* Define and lead the company’s technology strategy and architecture
* Oversee project execution, budgets and version management.
* Provide hands-on support when needed: technical guidance, problem-solving, and process optimization
* Ensure high standards of security, compliance, and product quality

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe. As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in various domains, such as ads optimization, customer data platform and prediction of user behaviour. You will apply and analyze these algorithms at scale. You will have a chance to grow and develop professionally by owning data-driven projects from the research phase to production, collaborating with highly experienced researchers.

Responsibilities:

* Develop classical and deep learning models that directly impact company goals.
* Find solutions to complex problems in social network infrastructure, understanding data generation processes and big data challenges.
* Analyze and leverage extensive application data to enhance model performance and accuracy.
* Work with partner teams to design and implement classification and prediction solutions for given objectives, presenting them clearly.

Advantages:

* Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
* Experience in developing deep learning graph model solutions.
* Experience with managing and utilizing datasets at the scale of 10s of TB.
* Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations.
* Strong business acumen or prior industry experience within the social media or messaging space.

As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in various domains, such as ads optimization, customer data platform and prediction of user behaviour. You will apply and analyze these algorithms at scale.
You will have a chance to grow and develop professionally by owning data-driven projects from the research phase to production, collaborating with highly experienced researchers.
Responsibilities
Develop classical and deep learning models that directly impact company goals.
Find solutions to complex problems in social network infrastructure, understanding data generation processes and big data challenges.
Analyze and leverage extensive application data to enhance model performance and accuracy.
Work with partner teams to design and implement classification and prediction solutions for given objectives, presenting them clearly.

Were looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. Youll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact.
If youre passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; wed love to hear from you!
Responsibilities
Identify opportunities for improvement through data analysis aligned with company strategy.

Partner cross-functionally to translate data findings into actionable product and business decisions.

Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.

Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.

Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.

Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

As a Machine Learning Engineer, your role will be instrumental in democratizing machine learning models across our company, harnessing our extensive data to drive informed decision-making. You will collaborate closely with data scientists and engineering teams, providing them with user-friendly frameworks for machine learning model execution and empowering every team at our company to easily leverage large language models (LLMs) in their daily workflows.
Responsibilities
Enhance and extend our machine learning framework to incorporate features like LLM observability, Feature Store, and SageMaker serving.
Provide technical guidance and support to enable data scientists to effectively utilize the framework.
Collaborate with cross-functional teams to develop advanced machine learning based recommendation systems.

This is one of the most influential product roles at our company. As a Product Manager - Platform, youll own the technical foundations behind the core app experiences that drive our companys global usage. Messaging, communication, and everyday interactions for millions of users around the world. This role sits at the intersection of deep technology and business strategy, requiring you to influence the architecture of massive-scale distributed systems while simultaneously articulating their value to senior leadership.
Responsibilities
Drive the strategy, roadmap, and execution of our companys platforms across mobile and desktop clients, in close collaboration with the R&D team.
Partner with Engineering, Analytics, Business leadership, to define and deliver a product vision that balances user needs, business growth, and technical opportunities.
Own the measurement and improvement of technical performance and usability across platforms.
Scale usage, retention, user satisfaction, and monetization through scaling experiences across platforms.
Define, monitor, and analyze Key Performance Indicators (KPIs) and Service Level Objectives (SLOs) for your products. Use this data to make difficult trade-off decisions, measure success, and drive continuous improvement.

Were looking for a highly motivated, self-directed DevOps engineer with an entrepreneurial spirit to join our team. You should be a proactive problem-solver who takes full ownership of the infrastructure, acting as a force multiplier to accelerate our engineering velocity.
Our Scale:
our company operates in a fully cloud-native environment, leveraging state-of-the-art cloud technologies.
As part of the DevOps team, you will work and take responsibility for a global-scale service distributed across multiple cloud platforms, spanning thousands of servers worldwide and generating petabytes of data. Our infrastructure relies on cutting-edge NoSQL databases to handle millions of operations per second.
Responsibilities
Keep our production environments up and running
Lead the implementation of DevOps engineering practices in the organization in collaboration with the Development and Architecture teams
Design, create and improve infrastructure deployment and management using IaC
Build and maintain tooling in various technologies
Improve availability, scalability, observability, and cost-efficiency of our current and future products
Support 24/7 on-call rotation.