דרושים » הנדסה » Senior Software Engineer CWPP Team

Were looking for engineers who are passionate about infrastructure, cloud security, and solving challenging problems at scale, and who want to make a meaningful impact on the security of modern, cloud-native systems.

Our Stack: Python, Go, K8s APIs, SingleStore, Postgres, Redis, Kafka, AWS, GCP, Azure, ElasticSearch

On a typical day youll
Design, implement, and maintain scalable backend services for onboarding, scanning, and analyzing Kubernetes environments
Collaborate with security researchers and product managers to translate complex requirements into impactful product features
Write clean, efficient, and testable code, ensuring high performance and reliability
Participate in design and code reviews to uphold technical excellence and team standards
Lead features end-to-end from design and planning to deployment and monitoring
Improve system observability, performance, and resilience in production environments
Work closely with cross-functional teams to continuously enhance product capabilities and customer value
Stay current with developments in the Kubernetes ecosystem and cloud security landscape

As a Senior Software Engineer on the Data Platform, youll be part of one of Orcas most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across architecture.

Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across . Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!

Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS
On a typical day youll
Write clean, concise code that is stable, extensible, and unit-tested appropriately
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
Diagnose complex issues, evaluate, recommend and execute the best solution
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to endfrom design and planning to implementation and deploymentwhile aligning cross-functional teams and ensuring technical excellence
Test software to ensure proper and efficient execution and adherence to business and technical requirements
Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
Develop expertise of AWS, Azure, and GCP products and technologies

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 looking for a Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!

Responsibilities:
Develop and maintain robust, scalable, and secure Java-based software solutions.
Collaborate with product managers, architects, and other engineers to design and implement new features.
Build and optimize data processing pipelines for high-volume analytics applications.
Ensure software quality through code reviews, unit testing, and integration testing.
Participate in architectural decisions, contributing to the design of cloud-based systems.
Monitor and optimize system performance to meet scalability and reliability goals.
Troubleshoot, debug and resolve issues in development, staging, and production environments.

Run:ai, now part of our company, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies, delivering the best user experience for our customers, and providing deep visibility into workload performance through rich metrics that help users optimize their AI workloads. We are looking for highly skilled software engineers to join our Platform Group and help shape the future of AI infrastructure.
The role of a Senior Software Engineer in the Platform Group is to design and develop scalable, high-performance systems that support the next generation of AI workloads. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.
What youll be doing:
Designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.
Collaborating closely with backend engineers, product managers, and other collaborators to deliver impactful solutions.
Writing clean, maintainable, and testable code in Go
Conducting code and design reviews to uphold high-quality standards and mentor team members.

We are looking for a Software Engineer.
As a Software Engineer in the team, you will contribute to the design, development, and operation of our comprehensive data fabric an enterprise-grade system that enables data-driven decision-making and high-impact product features across . You'll work closely with a cross-functional team of engineers, product managers, and data experts to build scalable data infrastructure and intelligent data management capabilities that power internal and external services. You will:
Drive the development of sophisticated and robust logic and backend infrastructure that supports large-scale data and compute workflows.
Collaborate across teams to design solutions that meet performance, reliability, and security requirements.
Contribute to the automation and optimization of engineering processes, improving deployment velocity and system health.
Participate in the full software development lifecycle, from ideation and design to deployment and monitoring.
Help shape engineering standards, technical architecture, and operational best practices within the team.

Run:ai, now part of our company, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a team of extraordinary individuals, we are looking for a highly skilled Senior Software Engineer to join the team and help shape the future of AI technology. The role of a Senior Software Engineer in the Run:ai group is to design and develop scalable, high-performance systems that support the next generation of AI workloads and infrastructure. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.
What youll be doing:
Designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.
Collaborating closely with backend engineers, product managers, and other stakeholders to deliver impactful solutions.
Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.
Conducting code and design reviews to uphold high-quality standards and mentor team members.

Required Senior Software Engineer
We have transformed the corporate travel, payment, and expense landscape by consistently prioritizing user needs. As a Senior Engineer in the Flights group, youll play an essential part in building and scaling the next-generation flight platform, our flagship product that drives global business growth. This is a high-scale, complex environment where your work will impact customers worldwide. Youll solve challenging problems, collaborate with engineers, product managers, and designers across the globe, and contribute to a platform trusted by major enterprises.
What Youll Do:
Build at Scale: Design and develop robust, high-performance features and core services that support the companys flagship product and serve a global customer base.
Solve Complex Problems: Apply deep technical expertise and creativity to address large-scale engineering challenges, driving improvements in reliability, performance, and user experience.
Deliver Customer-Facing Solutions: Take end-to-end ownership of featuresfrom design and development to deployment and operational supportensuring exceptional quality and value for users.
Collaborate Across Teams: Work effectively as part of a global, cross-functional team, partnering with fellow engineers, product managers, designers, and business leaders to deliver impactful solutions and elevate team performance.
Contribute to Engineering Culture: Champion best practices in code quality, scalability, documentation, monitoring, and testing, fostering a culture of technical excellence, collaboration, and continuous improvement.
Learn and Grow: Stay engaged with new technologies and industry trends, bringing a growth mindset and a passion for delivering elegant solutions to complex problems.

Were looking for an experienced Staff Engineer to join our CTO Office, focusing squarely on engineering excellence and platform scalability. Youll partner with senior technical leaders to define best practices, design and validate scalable architectures, and build the frameworks and automation that enable our teams to deliver reliable, high-performance products at scale.

On a typical day, youll
Architect for scale & reliability: Design, review and validate core platform components to support rapid growth in traffic, data volume, and feature velocity.
Elevate engineering standards: Define and evangelize coding standards, CI/CD pipelines, test automation frameworks, and observability practices.
Lead reviews & mentor: Conduct regular architecture and code reviews; coach senior engineers and drive continual improvement across teams.
Cross-functional collaboration: Work with product, security, and infrastructure teams to align on non-functional requirements (reliability, latency, throughput).
Build tooling & automation: Identify workflow gaps and develop internal tools or frameworks to automate testing, deployment, monitoring, and remediation.
Monitor & optimize: Analyze system metrics, troubleshoot production incidents, and recommend performance and reliability improvements.
Prototype & validate: Run targeted proof-of-concepts focused on operational excellencebenchmark solutions and recommend adoption plans.

Realize your potential by joining the leading performance-driven advertising company!
As Site Reliability Engineer on the IT Production team in our TLV Office, youll play a vital role in building robust services and solving infrastructure challenges with automations while working with cutting-edge technologies and bringing those to their limits on our mostly on-prem cloud like infrastructure.
How youll make an impact:
As a Site Reliability Engineer, youll bring value by:
Ensure Reliability & Scalability: Design, implement and manage highly reliable and scalable distributed systems across our on-premise, cloud and AI/ML environments. Proactively optimize performance, efficiency, resource utilization and cloud cost.
Drive Automation: Automate repetitive tasks, infrastructure provisioning, configuration and deployments using IaC and scripting languages (e.g., Python, Go, Rust).
Develop Observability & Capacity: Implement comprehensive monitoring and alerting systems to ensure system health. Collaborate on capacity planning to meet future growth.
Maintain Security & Compliance: Integrate security best practices and ensure compliance with industry standards.
Lead Incident Management: Participate in on-call rotations, lead incident responses and conduct root cause analysis to minimize downtime.
Foster Collaboration & Improvement: Work closely with development, operations and security teams to drive shared responsibility and continuous improvement in SRE practices.