דרושים » תוכנה » Software Developer, Infrastructure - Developer Experience

We are looking for a talented Senior Backend Developer to join our Infrastructure Team, supporting the server-side foundation of our mobile security product. Our team builds and maintains the core microservices and backend infrastructure that power protection, monitoring, and real-time decision-making for millions of mobile devices worldwide.

You will work in a hybrid environment, collaborating closely with highly skilled engineers within an agile, sprint-based process. This role is central to ensuring the performance, reliability, and scalability of our backend ecosystem, enabling seamless integration with mobile clients and supporting global, multi-region deployments.

Key Responsibilities
Design, develop, and maintain high-quality backend microservices and internal infrastructure components for our large-scale platform.
Own features end-to-end in an agile CI/CD environment-architecture, implementation, testing, deployment, and ongoing improvement.
Ensure the scalability, reliability, and resilience of infrastructure services supporting a rapidly growing global user base.
Work extensively with distributed systems, including technologies such as PostgreSQL, Redis, RabbitMQ, and Elasticsearch, optimizing performance and resource usage.
Implement and uphold observability best practices (metrics, logs, tracing) using tools like Prometheus and Grafana to maintain system health and diagnose issues quickly.
Collaborate closely with product managers, client-side developers, and DevOps teams to deliver robust, secure, and efficient infrastructure capabilities.
Drive continuous improvement by evaluating and adopting new tools, frameworks, and architectural patterns that contribute to operational excellence.
Mentor and guide other engineers, contributing to a culture of technical leadership, ownership, and knowledge sharing.

We are looking for an experienced, hands-on senior developer to join an innovative and talented R&D team, responsible for delivering fast and high-quality code, using the latest frameworks and technologies.

As a Senior Software Engineer you will...
Develop, maintain, and enhance the infrastructure of us, impacting all our products.
Collaborate with cross-functional teams to understand requirements, identify infrastructure needs, and implement solutions.
Be responsible for all development aspects from design to production of a wide ranging hybrid/cloud-native product.
Write high-quality, testable, and efficient code in Java.
Ensure the reliability, performance, and efficiency of the infrastructure through proactive monitoring, troubleshooting, and optimization.
Initiate and promote new ideas for continuous improvement of the product functionality.
Work closely with other team members as well as mentoring new team members.
Continuously evaluate emerging technologies and tools to enhance infrastructure capabilities.

We are looking for a strong Full Stack Developer with an eye for details. We are building a product with high scalability in mind and solving challenging problems on a daily basis. Our backend architecture is event-based and relies on RabbitMQ. We also really love React hooks!

As a senior developer, you will master the entire development life-cycle from identifying and characterizing the product, including architecture, deployment, development, testing, and up until production.

Be part of a fast-growing engineering team that builds a cutting-edge platform that makes a real impact in the world.
Develop a complex, highly available, distributed, cloud-based solution, and maintains its high level of quality.
Build new features that directly impact the future of our product from the UI to the Database.
Deploy code to production regularly to a SaaS-based solution hosted on the Cloud.
Collaborate with the product team to understand the task requirements.
Plan and lead the Engineering designs.
Write well-designed, elegant, testable, and efficient code.
Mentor other team members and support their professional growth and development.

We are looking for a DevOps Engineer with strong development skills to join our Developer Experience (DevX) team. Were a hybrid DevOps and development team focused on building and operating internal tools, infrastructure, and services that streamline engineering workflows and accelerate delivery across the company.
We are the team behind the Dynamic Environment Kubernetes Operator, which empowers teams to spin up ephemeral, on-demand environments for development, testing, and validation. You can learn more about the project here.
As part of the DevX team, youll own both infrastructure and application-level responsibilities. This includes the microservices we build and run, as well as internal platforms like Retool, which we maintain and extend to support our organizations needs. Youll work across automation, infrastructure-as-code, and backend development to deliver high-impact tools used daily by engineers across the company.
What You'll Be Doing:
Build and maintain CI/CD pipelines that enable fast, reliable, and secure deployments.
Contribute to the development of our Kubernetes operator and other supporting services.
Own and evolve infrastructure components using infrastructure-as-code (e.g., Terraform, Pulumi, Helm).
Develop and maintain internal microservices that support platform capabilities and developer workflows.
Maintain and extend internal tools like Retool, enabling teams to build internal apps and dashboards efficiently.
Implement observability best practices through monitoring, logging, and alerting.
Collaborate with engineering teams to identify bottlenecks and deliver scalable, automated solutions.
Drive adoption of DevOps best practices, including GitOps, progressive delivery, and shift-left testing.

We are looking for a motivated Senior DevOps Engineer to join our Cortex Devops Production group in our Tel Aviv R&D center. The group is responsible for the reliability and availability of the production environment hosting Cortex XDR and the enablement of the entire XDR RnD group using CI tools, infrastructure, and automation.
In this role you will a part of a DevOps group that is responsible for planning, executing, and reporting the various infrastructure and code projects, as well as managing and executing high-pressure production maintenance work and issues
More information about the Cortex-XDR product can be found here.
Your Impact
You will take full end-to-end responsibility for the production environment of our SaaS product deployed on GCP
You will build tools for the automatic remediation of known issues
You will develop Infrastructure-as-code which will be used to orchestrate production and dev environments
You will design, build, maintain, and scale production services with thousands of Kubernetes clusters
You will secure the production environments and add in new security tools and features both internal our company and other market-leading technologies
You will work closely with development teams to design and enhance software architecture to improve scalability, service reliability, cost, and performance
You will build CI pipelines and automation processes
Participate in the on-call rotation supporting the applications and infrastructure
You will research cutting-edge technologies and deploy them to production.

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.

Were hiring a ML Engineer to accelerate AI-driven innovation across Stamplis B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across Stamplis product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

We are looking for a DevOps Engineer with strong development skills to join our Developer Experience (DevX) team. Were a hybrid DevOps and development team focused on building and operating internal tools, infrastructure, and services that streamline engineering workflows and accelerate delivery across the company.
We are the team behind the Dynamic Environment Kubernetes Operator, which empowers teams to spin up ephemeral, on-demand environments for development, testing, and validation. You can learn more about the project here.
As part of the DevX team, youll own both infrastructure and application-level responsibilities. This includes the microservices we build and run, as well as internal platforms like Retool, which we maintain and extend to support our organizations needs. Youll work across automation, infrastructure-as-code, and backend development to deliver high-impact tools used daily by engineers across the company.
What You'll Be Doing:
Build and maintain CI/CD pipelines that enable fast, reliable, and secure deployments.
Contribute to the development of our Kubernetes operator and other supporting services.
Own and evolve infrastructure components using infrastructure-as-code (e.g., Terraform, Pulumi, Helm).
Develop and maintain internal microservices that support platform capabilities and developer workflows.
Maintain and extend internal tools like Retool, enabling teams to build internal apps and dashboards efficiently.
Implement observability best practices through monitoring, logging, and alerting.
Collaborate with engineering teams to identify bottlenecks and deliver scalable, automated solutions.
Drive adoption of DevOps best practices, including GitOps, progressive delivery, and shift-left testing.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation - building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.



Key Responsibilities
Design and build AI-driven internal tools that enhance developer productivity.
Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
Prototype and experiment rapidly, turning ideas into practical solutions.
Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
Define and track efficiency metrics to continuously improve developer velocity and experience.

We are looking for a motivated and experienced Senior Software Engineer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in low-level systems programming and will excel in developing performant, efficient, and reliable software across multiple operating systems. Expertise in C++ and deep knowledge of Linux, macOS, and Windows internals are essential for this role, as you will be instrumental in building and optimizing our agent.

Key Responsibilities:

Design, implement, and optimize low-level system software components and libraries with a focus on performance and efficiency.
Analyze and debug complex issues related to operating system internals (kernel, drivers, memory management) across Linux, macOS, and Windows platforms.
Develop networking capabilities and optimize networking stack interactions within software modules.
Write clean, maintainable, and well-tested C++ code, while mentoring and reviewing peers contributions.
Collaborate closely with infrastructure, security, and product teams to design scalable and secure systems.
Contribute to CI/CD pipelines and automation workflows to streamline build, test, and deployment processes.
Develop and maintain scripting tools (e.g., Python, Bash, PowerShell) to support development and operational tasks.
Stay up to date with emerging technologies in systems programming, cybersecurity, and networking to continuously improve our solutions.