דרושים » תוכנה » Cloud Architect

As a principal architect you will be reporting directly to an Engineering Director. In this critical role, you will extend the executive's attention and authority, providing additional leadership and technical bandwidth to oversee particularly complex and high-impact projects. You will work closely with the leadership team, diving into urgent and strategic areas, aligning and defining with the leader's the strategic vision, and ensuring the successful execution of essential initiatives. This role requires deep technical expertise, problem-solving abilities, business-oriented thinking and a , collaborative mindset and proactiveness.
Job Responsibilities :
Drive and oversee technical initiatives across organizations that deliver substantial business value, utilizing the work of others and shaping the direction of the business.
Coordinate initiatives, managing dependencies, and ensuring timely delivery of high-quality solutions.
Serve as a key technical advisor and confidant to leaders in the team, aligning closely with their strategies, values, and priorities and shaping their strategy.
Attend staff meetings, providing technical insights and helping to shape strategic decisions.
Represent the org in various forums, ensuring consistent communication and implementation of leadership directives.
Coordinate initiatives, managing dependencies and ensuring timely delivery of high-quality solutions.
Provide clear and concise communication of technical issues and solutions to stakeholders at all levels.
Provide technical direction and mentorship to engineering teams and leads, fostering a culture of innovation and engineering excellence.
Promote a culture of continuous learning and improvement, encouraging professional development and knowledge sharing.
Ensure technical decisions align with business goals and promote long-term sustainability and scalability.
Optimize processes and workflows, enhancing overall productivity and effectiveness across the organization.
Contribute to staff meetings, providing technical insights and helping to shape strategic decisions.

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: Is my data safe?"
At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort. At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details.
Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
The FinOps Technical Manager leads cloud cost operations, driving cost optimization and governance across multi-cloud environments. This role combines technical expertise with strategic leadership to align cloud spend with business objectives while fostering a culture of cost accountability.
Key Responsibilities:
Strategic Leadership
Champion cost-awareness across teams and influence architectural decisions for efficiency.
Lead cross-functional initiatives to improve cloud economics and operational excellence.
Team Management
Provide hands‑on technical guidance on cloud architecture, cost‑efficient design patterns, and optimization best practices. Foster strong collaboration between finance, DevOps, and engineering teams to ensure shared ownership of cloud costs
Cloud Cost Management
Monitor and analyze cloud spend across AWS, Azure, and Kubernetes clusters.
Identify optimization opportunities by diving into current system architecture/ flows and implementation and resent actionable recommendations to leadership.
Be able to challenge current and future technological and architecture decisions in favor on cost optimization.
Ability to detect bad designs and implementations that cause high spend.
Automation & Tooling
Oversee automation of cost reporting and anomaly detection.
Evaluate and implement tools and integrations for real-time visibility.

A leading software company delivering a full spectrum of software services that enable customers to focus on their core business activities. We leverage the Web by administering cross-platform development. We strive to build and maintain our top-notch expertise in this extremely dynamic and versatile field. A Software Architect is a technological leader, responsible for architecting, designing and implementing a software solution end to end. While having overall responsibility for a project, our architect is also part of the engineering team due to our passion for coding. In addition, the Software Architect is in charge of mentoring team members - keeping them up-to-date on technology and the project on track. If you are a technological leader with the ability to see the big picture, passion for coding and a team player, you should apply for this position! As a Solution Architect, you will be responsible for:
*  Design and implement the architecture for large-scale, distributed systems, from concept to production.
*  Develop high-performance, secure, and scalable technical architecture designs that support Big Data and AI workloads.
* Collaborate closely with Product Managers, data Scientists, and Engineering teams to translate user stories and business requirements into robust technical solutions.
*  Work side-by-side with DS and data engineers, fostering knowledge sharing, architectural governance, and best practices.
* Investigate and introduce emerging technologies to enhance scalability, reliability, security and innovation across the platform.

We are looking for an experienced Director to lead strategic initiatives in data security, governance, and compliance. This role will oversee multiple engineering groups at scale, driving innovation and operational excellence across distributed systems and data platforms. The ideal candidate combines deep technical expertise with proven leadership in managing end-to-end product development, including infrastructure, backend, and frontend components.
Key Responsibilities:
Strategic Leadership
Work closely with product teams to define and execute a comprehensive roadmap for data security, governance, and compliance programs.
Align initiatives with organizational objectives, regulatory requirements, and risk management strategies.
Engineering Leadership
Lead and mentor multiple engineering groups, ensuring delivery of scalable, secure, and compliant solutions.
Foster a culture of technical excellence, collaboration, and continuous improvement.
Technical Oversight
Drive design and implementation of cloud-based distributed systems and data pipelines at scale.
Ensure robust architecture for high-performance, fault-tolerant systems supporting enterprise workloads.
Product Management
Oversee end-to-end product development, including infrastructure, backend services, and user-facing applications.
Collaborate with product and business stakeholders to deliver impactful solutions.

Responsibilities
Business Impact
Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare complex customers for operational readiness and achievement of their business goals and targets. Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage. Guides complex customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities. Articulates the value of Unified and supports sellers, partnering with account teams to build consumption plans aligned with appropriate services. Provides feedback to Unified Delivery Team on VBDs to refine and further develop content.
Proactively identifies and anticipates new cross-solution opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the company value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation. Strategically consults with, actively listens to, and respectfully challenges customers/partners, building trust to then advocate for alternative architectures/solutions/approaches that shape and/or enhance customer requirements. Identifies, anticipates, and evaluates industry trends (e.g., customer industry verticals, information technology [IT] industry), gathers customer/partner insights (e.g., feedback around technical preferences, environments, business needs, competitive landscape), and maps both existing and novel architecture and digital transformation solutions to customer/partner business outcomes. Proactively anticipates and captures opportunities in appropriate systems, processes, and tools, working collaboratively across the organization to execute on opportunities aligned with our company's Customer Engagement Model.
Anticipates, identifies, escalates, and mitigates blockers using appropriate tools and processes to accelerate solution deployment, value realization and usage/consumption for complex customers/scenarios. Proactively applies broad business, technical, industry, and/or enterprise knowledge to architecture or support projects to meet business and information technology (IT) requirements and resolve identified constraints.
Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking). Orchestrates and collaborates across our company and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction.

We are seeking a highly skilled Senior Software Engineer to join our team responsible for large‑scale data processing, distributed computation, and performance‑critical backend services. This role is ideal for an experienced backend engineer with a strong Python background who has built and optimized data pipelines at scale. You will design, build, and optimize systems that process large volumes of data using technologies such as Python, Databricks, and modern cloud‑native tooling. This is a senior technical position where architectural thinking, hands‑on coding ability, and ownership of end‑to‑end data workflows are essential.

Responsibilities
Design, develop, and maintain scalable, high‑performance backend services in Python.
Build and optimize large‑scale data processing pipelines running on Databricks.
Implement efficient algorithms and data transformations to support analytical and operational needs.
Optimize performance, throughput, and reliability of distributed data workflows.
Collaborate closely with Data Scientists, Product Managers, and other engineering teams to translate requirements into scalable solutions.
Implement monitoring, alerting, and observability for data workloads.
Ensure code quality through best practices such as code reviews, testing, CI/CD, and documentation.
Contribute to architectural decisions and technical strategy for the data platform.
Troubleshoot production issues, perform root‑cause analysis, and optimize system stability.

We are seeking a Product Manager with deep expertise in the payments industry You will integrate AI to address challenges in process automation, streamline billing and invoicing processes, and develop flexible pricing models. Your goal will be to enhance the efficiency, accuracy, and scalability of our financial processes, ensuring they meet customer needs and support business growth.
You will collaborate closely with stakeholders from legal, finance, compliance, sales, and finance operations to ensure alignment and success.
You will:
Bring a data-driven mindset to setting goals and milestones for finance-related products, leveraging AI to inform decisions.
Conceptualize and analyze different parts of our infrastructure and how they interrelate.
Create bold, game-changing ideas and deliver solutions for customer problems in the finance domain.
Elicit non-obvious customer needs and synthesize research to gain a deep understanding and narrow definition of a problem.
Co-create with teammates to deliver high-quality results and communicate with clarity.
Comfortable getting into deep technical discussions with engineers about the pros and cons of different approaches.
Automate manual finance processes and streamline distributed workflows.
Establish a Single Source of Truth (SSoT) for finance data and design flexible pricing models.
Develop customer-specific invoice settings and enhance invoice consolidation.
Implement monitoring tools for observability and proactive issue resolution.
Collaborate closely with stakeholders from legal, finance, compliance, sales, and finance operations to ensure alignment and success.

We are looking for a software engineer to join our core model team!
The role of the core model team, within the Business Data & Dev group, is to own and maintain the services and business workflows that manage AppsFlyer accounts lifecycle, while ensuring that our customers have a smooth and reliable user experience.

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.

What youll 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.

Fire-Arc is an innovative, data-oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents. We’re looking for a Mid-Level Client Developer with strong leadership capabilities, extensive experience building Windows desktop applications , and a passion for mentoring others and solving complex problems.
Impact and Responsibilities
* Lead the design and development of Windows desktop applications using technologies mostly C# (.NET) WPF
* Drive high-quality integrations with AWS services like S3, Lambda (serverless), EC2, DynamoDB and RDS
* Use AI-powered development tools and IDEs (such as GitHub Copilot, Cursor, and similar assistants) as part of the daily workflow to improve development speed, code quality, and problem-solving
* Design, build, and maintain backend services that support and seamlessly integrate with Windows desktop client applications.
* Apply practical experience with Generative AI tools to increase productivity while maintaining strong engineering standards and critical thinking.
* Proactively identify technical and architectural challenges, and craft scalable, secure, and user-centric solutions
* Oversee and enhance application installation, deployment, and update processes with a focus on security and user experience
* Foster a collaborative, respectful work environment , supporting team members and driving alignment with cross-functional teams
* Participate in code reviews and contribute to a culture of quality and shared knowledge
* Continuously monitor and optimize application performance, security, and scalability
* Stay up-to-date with industry trends and recommend new tools, techniques, or improvements to enhance team effectiveness

Brand:
FireArc

Join us at our company, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At our company, youll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments.
Syte is an image recognition solution for retailers in different verticals such as fashion, home, furniture, DIY etc. We offer AI-powered product recommendation and discovery platform. Our solutions include visual search, automated product tagging, advanced personalized recommendations, and more.
We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.
The Senior Machine Learning Engineer will report directly to the Director of R&D.
Your key responsibilities will include:
Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.