דרושים » הנדסה » Python Software Engineer

we are seeking a skilled Team Lead - R&D to join its expanding R&D department.
The company specializes in utilizing AI and big data to analyze electronic components during the assembly process to identify faulty and counterfeit components.
Responsibilities:
Lead and mentor a team of R&D software engineers, fostering innovation and technical excellence.
Develop and maintain high-performance applications in Python and other backend languages.
Take ownership of key development projects, tools, and processes, ensuring efficiency and scalability.
Optimize applications for improved performance, memory management, and real-time processing.
Collaborate with cross-functional teams to integrate complex algorithms and logic seamlessly.
Work closely with the R&D management team to align development efforts with company goals.
Work with cloud-based and on-prem infrastructure and contribute to scalable microservices architecture.
Debug and resolve complex software issues to maintain high system reliability.

We're looking for a passionate and experienced Python Developer to help shape the future of AI. You'll play a crucial role in developing and implementing the backend systems that power our breakthrough language model, Apollo.

**What You'll Do:**
- Design and implement robust services and APIs to drive our product.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Optimize existing systems for improved performance and scalability.
- Participate in code reviews and contribute to team knowledge sharing.
- Monitor, identify, and resolve backend/platform issues.
- Implement and maintain microservices architecture and event-driven communication systems.
- Integrate and operationalize large language models (LLMs) within the production environment.
- Stay up-to-date with emerging trends and technologies in software development.

We are looking for a Sr. Staff Backend Engineer to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Manager, Software Engineering in the Exposure Management & Security Operations department. Avalor, now part of Zscaler, powers the data foundation behind Security Operations platform, ingesting, unifying, and contextualizing data from hundreds of security and business tools to power security modules that deliver actionable insights and measurable risk reduction to our customers. In this role, you'll own complex backend systems that sit at the heart of our data platform, designing and building services that ingest, process, and move massive amounts of data reliably and at scale for enterprise customers worldwide.

What youll do (Role Expectations)

Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Designing and building data pipelines and ETL workflows that ingest, transform, and unify data from diverse sources at enterprise scale
Leading solutions from scratch to production; creating technical designs, driving architectural decisions and taking full ownership of complex projects - from design and implementation through deployment, monitoring performance, reliability and cost, and proactively driving improvements
Collaborating closely with cross-functional partners - product managers, frontend/backend engineers and UX designers
Serving as a technical anchor for the team - leading design discussions, setting engineering standards, and driving best practices across the codebase
Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

As a Senior Software Engineer your role will be to:

Play a key role in the design and architecture of cutting-edge, innovative data systems.
Develop and maintain a multi-tenant environment for our advanced measurement solutions.
Build and manage cloud-based, distributed computing environments to support scalable, high-performance operations.
Design and implement robust ETL workflows, integrating multiple data sources for cleaning, transformation, aggregation, and querying.
Troubleshoot and resolve complex issues related to data integration, storage, and retrieval.
Architect and build big data solutions capable of managing and automating the processing of tens of terabytes.
Optimize database performance and streamline query execution in large-scale environments.
Collaborate closely with Data Scientists to align technical solutions with data-driven objectives.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone 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 stacks-its 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 lakes-designed 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 store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

We're looking for a backend Software Engineer to join our GeoTech team as a key contributor. In this role, you'll help process and structure all data coming into our product, execute data pipelines, and maintain data quality. Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.





Key Responsibilities

Lead the design and implementation of software solutions, ensuring alignment with project goals and objectives.
Provide technical guidance to team members, fostering a collaborative and supportive team culture.
Collaborate with cross-functional teams, including product managers, designers and QA engineers, to deliver high-quality software products.
Design and implement CI/CD processes for data processing, releasing, testing and monitoring, ensuring robustness and consistency.
Create and manage data infrastructure components, including ETL workflows, databases, supporting seamless data flow and accessibility.
Develop and optimize complex Python-based applications and services to allow more efficient data processing capabilities, enhancing quality and accuracy of our data.
Conduct technical reviews of third-party tools, frameworks and technologies.
Identify technical debt and areas for improvement, implementing solutions to enhance code quality and maintainability.
implement technologies, industry trends and software development methodologies.

Were looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.


Own product features end-to-end, from requirements through production and monitoring.
Work with Product to translate business problems into clear technical solutions and execution plans.
Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
Use AI coding agents to accelerate implementation, testing, debugging, and automation.
Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
Make independent technical decisions and communicate architectural trade-offs clearly.
Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
Investigate and solve complex production and performance issues.
Continuously improve how we build, test, and ship software using AI-native development practices.

We're seeking an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, structuring, and analyzing hundreds of millions of data sources. Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.





Responsibilities



Collaborate with cross-functional teams to design, build, and maintain data processing pipelines while contributing to our common codebase.
Contribute to designing and implementing data architecture, ensuring effective data storage and retrieval.
Develop and optimize complex Python-based applications and services to allow more efficient data processing and orchestration, enhancing the quality and accuracy of our datasets.
Drive the scalability and performance optimization of data systems, addressing infrastructure challenges as data volume and complexity grow.
Create and manage data infrastructure components, including ETL workflows, databases, supporting seamless data flow and accessibility.
Design and implement CI/CD processes for data processing, model training, releasing, testing and monitoring, ensuring robustness and consistency.
Implement geospatial data processing techniques and contribute to the creation of our unified utilities map, enhancing the product's geospatial features.

We are looking for a talented and experienced Full Stack Developer to join our Data Loss Prevention (DLP) Next Cloud service team.
In this role, you will be part of a dynamic team that designs, develops, and deploys our companys next-generation DLP cloud services.
This platform is integral to our suite of security products, including Network Security, Email Security, SASE, Endpoint, SaaS, and Cloud Security.
In today's AI-driven world, data is an invaluable asset, and safeguarding it is paramount.
This role offers a unique opportunity to work with cutting-edge technologies and deliver transformative results in the Data Loss Prevention domain.
Key Responsibilities
Design, develop, and maintain innovative DLP cloud services.
Collaborate with team members, product managers, and other stakeholders to define project requirements and deliver high-quality solutions.
Ensure the scalability, performance, and security of the DLP cloud services.
Stay up-to-date with the latest industry trends and technologies to drive continuous improvement and innovation.
Participate in code reviews, testing, and debugging to ensure the highest quality standards.
Contribute to the development of best practices and technical standards within the team.

We are looking for a motivated and experienced Backend Engineer with 7+ years of hands-on experience to join one of our teams. As a Backend Engineer, you will take ownership of features across the entire development lifecycle - from initial concept and design to deployment and maintenance in an enterprise-grade production environment. This role involves close collaboration with the product team to turn ideas into high-quality, functional software.

Responsibilities:
Develop and lead the end-to-end implementation of new features and product offerings.
Design, build, and maintain efficient, reusable, and reliable code across the full stack.
Collaborate with product managers and engineers.
Participate in all phases of the development lifecycle, including analysis, design, coding, testing, and deployment.
Ensure application performance, quality, and responsiveness.