דרושים » תוכנה » Senior Software Engineer

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform.
Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems.
Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.
This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.
Key Responsibilities:
Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

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 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.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of Lemonades data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives Lemonade toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.

In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams

Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights

Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance

Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights

Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions

Collaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategies

Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions

Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

We are looking for a top-notch Senior Software Engineer to help us tackle the toughest challenge in cybersecurity: turning endless amounts of data into crisp, easy, and actionable insights.

Responsibilities
Collaborate with a senior Agile Scrum team to design, develop, and maintain large-scale, cloud-based data processing pipelines and backend components. Work with cutting-edge technologies including Spark, Kubernetes, AWS, and modern data lakes like Databricks and Snowflake.
Design and implement scalable, cost-effective solutions that deliver high performance and are easy to maintain. Tackle complex, high-scale problems and drive performance optimization and cost-efficiency across the data pipeline.
Partner with engineers across our company R&D and Product teams to enhance our platform and provide capabilities for internal and external users to build data transformations and detection pipelines at scale.
Build robust monitoring and observability solutions to ensure full visibility across all stages of data processing.
Stay current with trends in big data processing and distributed computing. Contribute to code quality through regular reviews and adherence to best practices.

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspectsensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.
Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.
Key Job Responsibilities and Duties:
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Dealing with massive textual sources to train GenAI foundation models.
Solving issues with data and data pipelines, prioritizing based on customer impact.
End-to-end ownership of data quality in our core datasets and data pipelines.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Providing tools that improve Data Quality company-wide, specifically for ML scientists.
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

We are looking for a Code Infrastructure engineer to join a new initiative in the Cortex XDR agent group.
The Cortex XDR Agent is a disruptive anti-exploit & anti-malware product, is the foundation of most of the Cortex products, providing the boots-on-the-ground for our endpoint protection solutions. The new hire will join an initiative across the security R&D group that focuses on agent dev velocity. The new hire will join a task force that sets their own roadmap and focuses on bringing the most value to the developers - increasing velocity and quality.
The role revolves mainly around developing an e2e testing framework, written in Python, setting up innovative CI processes and incorporating 3rd party tools to the development process from design to deployment.
Were looking for a versatile individual whos always looking for ways to improve processes, learn and add new tools and find their own path forward based on developer feedback. The ideal candidate has Python as his strongest language, has experience with CI tools and processes and can learn and utilize new technologies quickly. Finally, the candidate will have many stakeholders across several groups including dev, research, devops, QA and others - We want an individual that can reason and protect the importance of their work while building meaningful and productive relationships with stakeholders.
Your Impact
Build and Maintain Testing Frameworks: The individual will assist in the implementation and management of an end-to-end testing framework using Python, enabling developers to quickly author and run tests on their code both in development and CI.
Support CI/CD Processes: The engineer will help set up and maintain continuous integration and deployment processes, utilizing innovative tools and practices to streamline development and ensure consistent, high-quality outputs.
Boost Developer Efficiency: By contributing to initiatives aimed at increasing development velocity, the candidate will help enhance the productivity of the development team, enabling them to focus on creating valuable product features while reducing time spent on routine tasks.
Collaborate Across Teams: The role involves working with various stakeholders, including development, research, DevOps, and QA teams. The individual will need to effectively communicate and collaborate to understand their needs and help align the infrastructure projects with these requirements.
Learn and Adapt: The candidate will continuously learn new technologies and tools relevant to their role, adapting quickly to changes and integrating new methodologies into the development process to keep it efficient and up-to-date.

We are looking for a Code Infrastructure engineer to join a new initiative in the Cortex XDR agent group.
The Cortex XDR Agent is a disruptive anti-exploit & anti-malware product, is the foundation of most of the Cortex products, providing the boots-on-the-ground for our endpoint protection solutions. The new hire will join an initiative across the security R&D group that focuses on agent dev velocity. The new hire will join a task force that sets their own roadmap and focuses on bringing the most value to the developers - increasing velocity and quality.
The role revolves mainly around developing an e2e testing framework, written in Python, setting up innovative CI processes and incorporating 3rd party tools to the development process from design to deployment.
Were looking for a versatile individual whos always looking for ways to improve processes, learn and add new tools and find their own path forward based on developer feedback. The ideal candidate has Python as his strongest language, has experience with CI tools and processes and can learn and utilize new technologies quickly. Finally, the candidate will have many stakeholders across several groups including dev, research, devops, QA and others - We want an individual that can reason and protect the importance of their work while building meaningful and productive relationships with stakeholders.
Your Impact
Build and Maintain Testing Frameworks: The individual will assist in the implementation and management of an end-to-end testing framework using Python, enabling developers to quickly author and run tests on their code both in development and CI.
Support CI/CD Processes: The engineer will help set up and maintain continuous integration and deployment processes, utilizing innovative tools and practices to streamline development and ensure consistent, high-quality outputs.
Boost Developer Efficiency: By contributing to initiatives aimed at increasing development velocity, the candidate will help enhance the productivity of the development team, enabling them to focus on creating valuable product features while reducing time spent on routine tasks.
Collaborate Across Teams: The role involves working with various stakeholders, including development, research, DevOps, and QA teams. The individual will need to effectively communicate and collaborate to understand their needs and help align the infrastructure projects with these requirements.
Learn and Adapt: The candidate will continuously learn new technologies and tools relevant to their role, adapting quickly to changes and integrating new methodologies into the development process to keep it efficient and up-to-date.

We are looking for a talented and experienced software engineering team leader to join the Agent group. You will be leading developers building and developing next-generation SASE solution. Dive into the world of VPN and Security, distributed systems, scalable software design, and leave your mark on cutting-edge developments impacting millions of users and organizations. This role is perfect for a highly experienced, fast learner, and proactive team lead with outstanding technical skills who thrives on being a leader and is passionate about building flawless products.
The Agent group is responsible for building our VPN and Internet Security on device application. As a team leader, you will lead a team of software engineers on a mission to solve technological challenges and write scalable, robust, testable, efficient, and easily maintainable code that are part of our solution.
About Us
our company Harmony SASE is a leader in VPN and network security, striving to deliver the premier SASE platform in the market. We are redefining how businesses connect in the era of cloud and remote work, with an innovative approach that integrates cloud and on-device protection. As a fast-growing company, we are seeking extraordinary team members to support our expanding customer base of over 3,000 businesses across various industries and sizes.
Key Responsibilities
Lead, manage, and mentor a team of software engineers from diverse technical backgrounds.
Own feature development, task tracking, and deadline management.
Collaborate closely with cross-functional teams and customers to address complex problems and develop innovative features.
Drive the creation of robust, various scalable solutions for Agent applications.
Foster a culture of continuous improvement within the team.

Are you a software engineer who thrives on designing and building scalable, high-quality services and infrastructure? Do you want to work on cutting-edge services while shaping the backbone of an ML platform? If so, wed love to have you join our company ML.
As a Senior Software Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc. You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.
As a Senior Software Engineer at our company ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.