דרושים » תוכנה » Senior Software Engineer (Backend)

we are looking for a Senior Software Engineer - Platform Team.
As a Senior Software Engineer you will help deliver a smooth and consistent developer experience to our product/AI teams.
This enables them to iterate quickly and deliver products faster to the market. The team aims to streamline development processes, reduce friction and provide developers with the right tools and infrastructure to build high-quality software efficiently which effectively aligns technical execution with our business objectives.
Our techstack includes AWS, Python, RDS, EKS, ECS, RMQ and Redis.
You will:
Have a direct impact on devs' daily smile :) , by focusing on their Devex and velocity through implementing and providing easy and intuitive self serve tools
Lead the design and implementation of infrastructure of complex, time-critical microservices systems, collaborating with AI, data, and product teams to ensure high-quality code using latest technologies while maintaining high developer velocity.
Drive improvements to backend infrastructure, focusing on scalability, reliability, and performance to enhance the daily experience and productivity of developers, including implementing intuitive self-serve tools.
Contribute to defining and realizing the technology vision of the company, evaluating and integrating new technologies to enhance platform capabilities including Gen AI, and troubleshooting complex issues to ensure platform performance and availability. Proactively establish and maintain CI/CD practices and processes including hybrid envs.
Enhance system scalability, performance, and reliability.

We are looking for a senior backend engineer who is truly cross functional possesses strong engineering foundations for developing highly performant services.
The ideal candidate will have a deep understanding of algorithms and Python fundamentals, as well as an understanding of the capabilities and limitations of LLMs.
They will be able to quickly collaborate with their product counterparts to iterate over new, cutting edge features and capabilities and get them to the hands of our users.
Collaborating closely with product teams, they will quickly ideate, develop and deliver innovative features and capabilities to our users.
If you have the skills and experience we are looking for, we encourage you to apply for this exciting opportunity to join our team and make a significant impact on the future of AI.
Role and Responsibilities:
Build the framework used to supercharge our algorithm teams to write scalable, performant algorithms
E2E ownership of production services, databases and infrastructure
Work in fast iteration loops with business/product managers to architect and deliver new products and capabilities
Drive the architectural design, including dependent services and service interactions (APIs & SDKs)
Apply judgment and experience to balance trade-offs between competing interests and optional solutions, considering profiling data to inform decisions on performance and resource utilization
Help with coaching and mentoring team members, and maintaining high standards of software quality within the team.

We have improved AI infrastructure by merging GPU virtualization with Kubernetes-native tech to power innovative AI factories. We aim to speed up enterprise AI projects with smart orchestration, and scalability for AI workloads. Seeking a skilled Senior Software Engineer for our Infrastructure Group to innovate AI technology. The Infrastructure Group is tasked with composing and evolving the core systems responsible for thousands of GPUs and nodes driving enterprise AI. We invent the foundation that facilitates elastic, secure, and observable AI operations at extensive scale. We are seeking engineers who are passionate about distributed systems, modern cloud-native infrastructure, and AI performance optimization.

What youll be doing:

Crafting 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 partners to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

Conducting code and build reviews to uphold high-quality standards and mentor team members.

Leading the development and implementation of advanced identity management systems that secure our innovative AI and GPU cloud.

Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of our platforms securely and efficiently.

Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.

We are looking for a highly talented technical individual to join the Cortex XDR infrastructure team.
The team is responsible for developing automation infrastructure and various cloud based tools and platforms that are used across the research, development and QA departments to ensure the functionality, stability and quality of the XDR product, alongside the efficiency of the infrastructure and process used to build, test and deploy on various clouds and distributions. We believe that the platforms & infrastructure that the team provides are a critical & crucial part of our department's progress to the modern future and one of our key growth factors.
As a Platform engineer you will play a pivotal role in enhancing our development and automation experience by pushing forward modern automation approaches, eliminating manual efforts and introducing new development operations for continuous integration, scale & durability using advanced cloud services. Your expertise will be used in areas such as infrastructure development, cloud based automation, serverless infrastructure, automation as a service, providing technical guidance, and pushing infrastructure\configuration as a code and GitOps approach across the development departments.
To succeed in this role, you should have a strong foundation in modern cloud based automation methodologies and a comprehensive understanding of industry best practices, especially in redundancy and scalability of large systems and the ability to control them via SCM based declarative configs. You should be familiar with modern public clouds approaches and serverless based architectures, including virtualization containers and container based orchestration including multiple Kubernetes based deployments. You should be comfortable engaging in complex technical discussions and advocating for optimal solutions in a fast-paced growing environment as part of our quest for continuous improvement.
Your Impact
Utilize modern technologies including serverless cloud services, Kubernetes, Terraform, among others, and use them all in an infrastructure/configuration as a code GItOps approach to manage everything via source code and continuous integration processes
Design and implement (hands on) the next generation of platforms, automation frameworks, SDKs, and tools to be used across our entire R&D group, and be part of our infrastructure transition to the cloud
Develop and maintain a cloud based test execution system, that supports parallel executions on multiple operating systems and multiple cloud providers and at a very large scale, and by so helping reduce the amount of effort required to perform automatic testing and manual testing, and reduce time to market
Provide tools, systems and simulators for scaling up all lifecycle phases of our products and services including cross company and third party integrations and frameworks to be used in high scale
Introduce progress and help revolutionize our operations and lay the foundation for innovation and growth.

At our company, we are committed to building a safer digital future. As a Senior Software Engineer in Cortex Cloud, you will work at the forefront of cybersecurity innovation, building cloud-native solutions that protect some of the largest organizations in the world. This is a unique opportunity to be part of a team building a new product from the ground up, shaping the architecture, technology stack, and engineering practices from day one.
Youll not only write great code youll influence product strategy, design scalable systems, and help drive key decisions that will shape the future of cloud workload protection.
A key part of this role is championing and leveraging the latest generative AI tools and assistants (such as Gemini) in your day-to-day engineering workflow. We expect you to utilize these advanced tools to accelerate the development lifecyclefrom ideation and coding to root-cause analysis, testing, and system optimization.
Key Responsibilities
Play a key role in building cloud-native security features that protect real-world workloads from malware, secrets exposure, and other threats
Lead the development of major features from product discussions and technical design to implementation and testing
Design and build scalable backend services using Golang and modern cloud-native technologies
Research and integrate new technologies to improve detection, performance, and platform capabilities
Help define best practices and drive engineering excellence across the team.

We are seeking a Senior Software Engineer to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
As a Data Engine Software Engineer, You will participate in developing our Engine, a fully managed Serverless platform tailored for AI pipelines. You will write operators, controllers, and schedulers that integrate to other platforms and services all running on a Kubernetes environment.

At our company, we lead the way in cybersecurity innovation. Our Cortex XDR and Cloud Workload Protection (CWP) product offers a holistic solution that protects your entire digital infrastructure, from user endpoints to cloud environments. We deliver comprehensive, end-to-end security by monitoring and analyzing everythingfrom endpoint activity and user behavior to network traffic, cloud workloads, and containers. Through continuous threat detection and proactive incident response, we offer a unified approach to Extended Detection and Response (XDR), ensuring the identification, analysis, and prioritization of security risks across your entire enterprise.
As the Software Engineering Sr. Director, you will lead multiple backend engineering teams and groups dedicated to building and maintaining our industry-leading cybersecurity products. You will define and drive the vision and strategy for software development, ensuring the highest delivery standards of quality, security, and scalability. In close collaboration with product management, platform teams, and security researchers, you will guide the delivery of innovative, reliable solutions that address the evolving needs of our customers. A key part of your mission will be to harness AI-embedding AI-powered capabilities into both our products and engineering practices to secure the future of software development.
Key Responsibilities
Engineering Leadership: Lead and mentor BE engineering teams, driving recruitment, retention, and talent development. Foster a culture of collaboration and innovation
Product Development: Oversee the design and delivery of secure, scalable software solutions, ensuring best practices in security throughout the development lifecycle
Collaboration: Work closely with product, security research, endpoint engineering and platform teams to align engineering with business goals and customer needs.

A leading large-scale ad network at the forefront of advertising technology. We are looking for a highly skilled and experienced Senior Software Engineer to join our backend team.
In this role, you will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.
This is an opportunity to work on complex, large-scale systems that serve billions of requests, shaping the future of ad tech and ML-driven optimization.
What you'll be doing
Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.

We are looking for a Senior Cloud Software Engineer to join our growing Product development team. This team of engineers focuses on security related development on endpoint, cloud, and back-end with a particular focus on data security. We're looking for smart people who want to be challenged and take ownership of what they build, working in an environment where quality is a top priority.
Youll be joining our Data Security Product Group, whose mission is to build a unified data security platform that enables our customers to protect their most important asset, their data. You will work on a team that builds solutions to protect data on endpoints, cloud and SaaS and allows our customers to manage and secure their data in an ever connected AI world.
You will:
Design and build highly scalable and resilient distributed systems
Design and build cloud based systems to help our customers to monitor and protect their most sensitive data.
Obsess about learning, and champion the newest technologies with others, raising the technical IQ of the team.
Work with technologies like Apache Kafka, Cassandra, Elasticsearch, Redis and more
Work on cross-team platform-level initiatives and projects
Understand the software architectures of the team deliverables; actively participate in design discussions.
Take ownership and be accountable for deliverables, both individually and when leading a team.
Troubleshoot deep technical issues and implement solutions
Mentor other developers on cloud and backend technologies
Constantly look to improve our architecture, knowledge models, user experience, performance and stability
Deliver and accept feedback with grace and courtesy.

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.