דרושים » הנדסה » Senior Backend Engineer

Power the Future with us! At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our company offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. We are looking for a Senior backend Engineer to join our cloud platform team. In this position, you will take ownership of end-to-end delivery for critical data -driven features, orchestrating complex logic across cloud and Embedded systems. An ideal candidate is a highly motivated system thinker with a strong background in distributed systems, event-driven architecture, and handling large-scale telemetry data. Responsibilities:
* Design and develop high-performance, event-driven microservices for mission-critical IoT platforms.
* Lead the architecture and production rollout of complex backend features involving Real-Time data streams and dynamic algorithms.
* Build and maintain scalable prediction platforms, facilitating Machine Learning model integration, data pipelines, and Real-Time inference.
* Write well-designed, testable, and efficient code, primarily using JAVA and Python.
* Collaborate with algorithm, Embedded, and frontend teams to orchestrate Real-Time logic for thousands of active connected devices.
* Take ownership of the full software lifecycle, from system design to production deployment and monitoring.
* Provide high-level production support.
* Mentor junior engineers and drive architectural best practices within the team.
Country:
Israel
City:
Herzliya

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.

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.

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.

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.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.

We are looking for an experienced and dynamic Team Lead to manage a talented group of frontend & backend engineers, qa testers and devops. In this role, you will oversee the design , development and delivery of versions of our software to our biggest customer, ensuring that it meets the highest standards of quality and efficiency.
Additionally, you will collaborate closely with stakeholders in the customer team and within the organization, requiring strong communication and leadership skills.
Key Responsibilities:
Lead, mentor, and manage a hybrid team (Onshore & Offshore) of 10 engineers (frontend, backend, quality, devops), fostering a collaborative and high-performance culture.
Oversee our AI-first transformation in your team- moving all coders to do 100% vibe coding
Collaborate with product owners, QA, DevOps, and other team members to deliver high-quality software solutions within an Agile framework.
Ensure the teams not only develop features but also write comprehensive automation tests to validate and cover their work, ensuring high quality and stability.
Ensure designs and implementations align with technical specifications, industry standards, and best practices.
Promote continuous improvement by exploring and adopting new technologies and methodologies.
Provide support for customer and delivery teams in successfully implementing projects based on the platform.
Contribute to all phases of the development lifecycle, from design through deployment to maintenance.
Write well-structured, testable, and efficient code when needed.

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.

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

we are 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.
Impact and Responsibilities
* Design, implement, and maintain scalable, secure, and reliable cloud infrastructure on AWS (3+ years of experience required) and GCP (preferred).
* Build and maintain CI/CD pipelines to automate application deployment and infrastructure updates.
* Demonstrate hands-on experience using Generative AI tools (e.g., GitHub Copilot, ChatGPT, Cursor, or similar) to accelerate scripting, infrastructure automation, CI/CD configuration, and operational troubleshooting.
* Automate infrastructure provisioning and management using Infrastructure-as-Code (IaC) tools, with Terraform experience being a must.
* Automate infrastructure provisioning and management with Ansible experience being a must.
* Collaborate with development teams to optimize application performance and reliability.
* Troubleshoot and resolve system, application, and network issues to ensure high availability and reliability.
* Ensure the compliance of our infrastructure with security best practices and standards.
* Leverage advanced networking and proxy configuration expertise to design robust and secure systems.
* Continuously research, evaluate, and implement new technologies to enhance infrastructure efficiency and cost-effectiveness.

We are searching for a Software Engineer to join our digital assets group, a group within tasked with creating solutions for digital assets trading and management. You will be part of a strong and dynamic team of experienced developers and researchers that together develop and maintain all elements of the trading infrastructure, while using cutting edge technologies to overcome our unique trading challenges.
We write almost all of our tools in the Rust programming language for superior performance and safety.
The role focuses on developing and maintaining an in-house platform that manages, controls and monitors our ever-growing set of tools and applications. The tools you will write and maintain have challenging requirements on all fronts - performance, resilience, correctess and more.
In this role you can expect to challenge yourself daily and be creative to solve difficult technical problems in a fast-paced and energetic environment, while exposed to a wide range of technologies and challenging problems which require high availability, high-throughput, and latency-sensitive solutions in a cloud environment.