דרושים » תוכנה » Senior Full Stack Engineer

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.

We are seeking a talented Software Architect. This is a unique opportunity to work with US clients and engage in global projects, leveraging your extensive skills in generative AI tools.
As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects.
Key Responsibilities:
Advanced Backend Development: Lead the development of scalable, secure, and maintainable backend systems using Python and frameworks like FastAPI.
System Design & Architecture: Architect robust backend solutions and design efficient RESTful APIs with asynchronous programming support.
Core Technical Strengths: Utilize deep knowledge of Object-Oriented Programming (OOP), asynchronous design patterns, and software engineering best practices.
DevOps & Containerization: Implement Docker for containerizing applications and Kubernetes for orchestrating microservices-based deployments in scalable, production-grade environments. Manage CI/CD pipelines and deployment automation.
Database Expertise: Design schemas, optimize queries, and manage data consistency across distributed systems using PostgreSQL and CosmosDB.
Quality Engineering & Testing: Write comprehensive unit tests, enforce code quality through peer reviews, and integrate test automation in CI workflows.
Technical Mentorship & Team Collaboration: Mentor junior developers, drive code quality, scalable design, and agile delivery. Collaborate effectively across DevOps, frontend, and product teams.
Agile Development & Ownership: Participate in sprint planning, backlog management, and stakeholder communication. Take full ownership of modules, ensuring timely and reliable delivery in Agile/Scrum environments.
Exposure to Agentic Flows: Leverage experience with agentic flows to enhance system performance and reliability.

Were looking for a Senior Fullstack Engineer to join our CTO Office and play a key role in transforming innovative seed projects into production-grade products. This is a hands-on role that blends software engineering, DevOps, and architectural design, offering a unique opportunity to work on cutting-edge technologies and shape the future of our product landscape.

What will you do?
Lead the transition of seed POC projects into scalable, production-ready systems.
Design and implement robust backend and frontend architectures and components.
Utilize, Research and develop AI based solutions and integrations
Build and maintain CI/CD pipelines to ensure smooth and reliable deployments.
Deploy and manage services in Kubernetes environments using Helm.
Collaborate with infrastructure teams to support and maintain production systems.
Ensure high availability, observability, and performance of deployed services.

As we continue to grow, were looking for a Senior Full Stack Engineer to design and build scalable backend services, craft modern frontend experiences, and integrate AI-driven capabilities into our systems. This role involves end-to-end ownership across the stack, from architecture and data pipelines to user-facing features and LLM-powered intelligence.

Responsibilities:
Design, build, and maintain high-quality web applications across the stack, developing responsive frontend components in React and scalable backend services in Python (Django/DRF), with a strong emphasis on performance, maintainability, and user experience.
Lead the integration of AI-powered features, including LLM-based capabilities, into user-facing products through effective prompt engineering and system design.
Own architectural and tooling decisions, contributing to long-term technical planning, system scalability, and engineering best practices.
Collaborate cross-functionally with Product, Design, and Engineering to deliver features that are both functional and delightful, aligning technical solutions with business goals.
Write clean, testable, and reusable code, contribute to shared libraries and frameworks, and help shape a high-ownership engineering culture in a fast-paced environment.

We are seeking an experienced Backend Tech Lead to join our recommendations group. As a Tech Lead, you will be instrumental in shaping the technical direction and architecture of our backend systems. You will leverage your deep expertise in backend technologies to design, build and scale backend services while guiding a group of engineers toward delivering robust, high-performance solutions. This role offers the opportunity to collaborate with cross-functional teams and contribute to projects that impact the entire organization. If you're a leader with a passion for backend development, we would love to have you on board!

Role

As a Backend Tech Lead, your responsibilities will include:
Mentoring and guiding backend engineers to ensure high-quality code and effective development processes.
System design and architecture: Designing scalable, efficient, and secure backend systems, including APIs and data storage solutions, using technologies like Python, MySQL, Redis and Elasticsearch.
Tech stack evolution: Driving improvements in backend technologies, frameworks and development practices.
Cross-functional collaboration: Working closely with product managers, frontend teams and other stakeholders to ensure backend services meet business requirements and technical specifications.
Performance and scalability: Ensuring that our backend services are highly available, scalable and optimized for performance.
Cloud infrastructure: Overseeing cloud services and ensuring backend systems are seamlessly integrated with cloud platforms.
Code quality and best practices: Writing and maintaining clean, maintainable and well-documented code, while fostering a culture of code reviews, continuous improvement and adherence to best practices.
Technical leadership: Owning the technical direction of backend systems, making key architectural decisions and promoting industry best practices within the group.

We are looking for a Senior Data Scientist (Applied AI).
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutionsquickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.
Day to Day:
Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

As a Software Developer you will be responsible to:

Play a key role in designing and implementing infrastructure solutions to support our development and deployment processes. This role requires a versatile individual with strong technical skills, an out-of-the-box thinker, and a passion for solving challenging problems in cloud-based environments.

Key Responsibilities:
Develop, maintain, and optimize Python-based services and tools for cloud platforms (AWS preferred).
Design and implement scalable and secure infrastructure solutions, leveraging modern cloud technologies.
Build and maintain APIs, microservices, and server-side applications using Python frameworks.
Collaborate with cross-functional teams to integrate CI/CD pipelines and improve deployment efficiency.
Troubleshoot and resolve technical bottlenecks in cloud-based systems.
Contribute to system architecture design and ensure best practices are followed.
Stay up-to-date with emerging technologies and trends to continuously improve development and deployment processes.

we are looking for a Full-Stack 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 Software Development Engineer, you will:
Plan and execute high quality developments end-to-end meeting all development standards
Build various core components integrated as a whole product:
Advanced UI adjusted to various end-user UI platforms while considering SaaS experience and challenges.
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
Self-study, maintain and debug all existing system components
Review and rewrite legacy code to latest technologies

We are looking for a Data Engineering Tech Lead.
What will you be responsible for?
Lead the design and development of scalable, high-performance data workflows, including both batch pipelines and real-time data products.
Define, implement, and enforce engineering best practices related to code quality, testing, CI/CD pipelines, observability, and documentation.
Mentor, support, and grow a team of data engineers, fostering a collaborative and high-performance engineering culture.
Identify opportunities to create new data assets and features that expand product capabilities and value proposition.
Drive architectural decision-making in areas of data modeling, storage solutions, and compute resources within cloud environments such as Databricks and Snowflake.
Collaborate closely with cross-functional stakeholdersincluding Product, DevOps, and R&Dto ensure effective delivery and platform stability.
Promote and champion a data-driven mindset across the organization, balancing technical rigor with business context and strategic goals.

We are looking for a Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.