דרושים » תוכנה » Software Engineer

Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Waze Engineering Productivity (EngProd) team is the multiplier for all of Waze engineering.
In this role, you will design, build, and own the foundational systems that empower developers to ship with speed, quality, and confidence. You will be maintaining systems and leading the charge on Waze's technical initiatives.
Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.
Responsibilities
Develop and maintain back-end services and libraries, in the Java ecosystem, that form the support of the development environment.
Take ownership of components within technical initiatives, such as the company-wide migration to our company3 or the rollout of new Artificial Intelligence (AI)-powered developer tools.
Deploy and manage mission-critical services on our company Cloud Platform (GCP) using technologies like Kubernetes and Docker, ensuring high availability and performance.
Collaborate with engineering teams across Waze to understand their issues, gather requirements, and deliver solutions that make their workflows efficient.
Work with Java, Python and our company's internal tooling to select the right technology for the job.

Were looking for a Full-Stack Engineer who thrives at the intersection of code, data, and AI. Someone whos passionate about building impactful product experiences end-to-end while leveraging the latest AI tools and automation frameworks.
Why Join Us?
Be part of a lean, autonomous team with the agility of a startup and the reach of a global company.
Work at the intersection of AI and cybersecurity, with the freedom to explore and build.
Help shape the future of Harmony SASE - a core pillar in our companys secure access strategy.
Build high-impact features used by thousands of organizations worldwide.
Key Responsibilities
Design, implement, and own full-stack features that improve user experience and drive product adoption.
Collaborate with product managers, UX designers, and data analysts to identify growth opportunities.
Prototype and deliver experiments quickly to validate hypotheses and learn from real users.
Integrate AI engineering (LLMs, AI Agents) into both the product and internal development processes.
Apply MCP concepts to build smarter, context-aware agent workflows.
Contribute to a modern, scalable, and performance-driven architecture across the front and back end.
Join a fast-moving team that values ownership, speed, and measurable impact.

We are seeking a Senior Full Stack Developer to play a key role in scaling the platform that powers our companys legal data operations. In this role, you will not only drive the development of complex, high-impact systems but also mentor and elevate the engineering team. Youll work across the stack-from frontend experiences to backend services in Node.js-while shaping the future of our AI-driven features and strengthening our data workflows through ETL pipelines.
This is a unique opportunity for a proactive and technically sharp engineer who thrives on solving complex problems, setting technical direction, and helping others grow. If youre passionate about system architecture, modern development practices, data engineering, and building AI-powered solutions, wed love to hear from you!
Responsibilities:
Collaborate with product managers, designers, and other engineers to design, develop and test our innovative products.
Mentor other engineers, providing technical guidance, define and apply engineering best practices (coding standards, software development methodologies, etc.) to leverage the team technical skills and leading the technical side.
Continuously improve the performance, reliability, and security of our applications through design reviews, code reviews, refactoring, and optimization.
Identify and resolve technical challenges and bottlenecks in a timely manner.
Stay updated with emerging technologies and industry trends, and assess their potential impact on our products and processes.
Collaborate with cross-functional teams to translate business requirements into technical solutions.

Senior software engineer Vision & GNC About the Role: We are seeking a Senior software engineer to lead the development of advanced Computer Vision and Guidance, Navigation & Control (GNC) software for cutting-edge UAV systems. This position offers the opportunity to design and implement complex algorithms and high-performance software that power autonomous flight, Real-Time decision-making, and mission execution in challenging environments.

You will take ownership of key components in the autonomy stack, working closely with cross-functional teams in infrastructure, mission control, systems engineering, flight operations, and product. This is a hands-on role for an experienced engineer who is passionate about autonomy, robotics, and intelligent airborne systems. Key Responsibilities:
Design, develop, and optimize Vision and GNC software modules for autonomous UAVs.
Lead complex feature development from concept through production.
Integrate advanced computer vision algorithms, including VIO, tracking, motion detection, and image stabilization.
Develop guidance and control algorithms enabling precise navigation, hovering, and targeting.
Collaborate with multi-disciplinary teams to ensure robust integration and Real-Time performance.
Translate research and prototypes into reliable, production-grade software.
Mentor junior engineers and contribute to technical excellence within the team.

We are looking for a talented Full stack Engineer with a strong backend orientation and exceptional skills to join our Harmony SASEs forefront team at our company, which building cutting-edge, large-scale solutions that redefine cloud security and network management.
As part of our team, youll work with the latest technologies, solve complex engineering challenges, and play a key role in developing scalable and resilient backend systems. If youre passionate about innovation, cloud security, and high-performance architecture, this is your opportunity to make an impact!
we are a key player in the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.
Key Responsibilities
End-to-end features development including design, testing, deployment and monitoring
Contribute to technological and architectural decisions
Develop testable, reusable, and effective code to create high performance application
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, QA and Software Engineers to deliver the best product to our customers.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

Shape the Future of Data - Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, we are the place to be.
Your Role: Drive, Build, and Shape:
Build Scalable Solutions: Lead the design and development of robust, scalable systems using a mix of cutting-edge languages, frameworks, and technologies, while maintaining a strong focus on quality and performance.
Customer-Centric Development: Collaborate with customers and stakeholders to understand their needs, ensuring the team delivers high-value solutions aligned with mission.
Cross-Functional Collaboration: Work closely with cross-disciplinary teams, including DevOps, data engineering, and product management, to align on priorities and drive company-wide initiatives.
Foster Growth: Cultivate an environment where team members are empowered to innovate, take ownership, and expand their skill sets.