דרושים » תוכנה » Senior Software Engineer - Infrastructure

We are looking for a talented highly-motivated experienced SW engineer to join one of its growing inspiring development teams.
You will work on multi-tenant, high-scale, distributed SaaS echo system on top of k8s platform which is used for managing the cloud security services infrastructure, customers' self-service configuration, monitoring and reporting, analytics and more.

As a SW engineer, you will manage and work with the different Engineering teams and architects in order to design, develop, monitor, scale and optimize the large-scale architecture of a winning SaaS security service.

What will you do?

Implement our implementation of next generation back-end infrastructure to help us scale our SaaS based infrastructure.

Be part of a team building tools to make our infrastructure scalable, and robust.

Leverage Generative AI tools for code generation, optimization, debugging, documentation, and prototyping.

Continuously research and integrate new AI-driven developer productivity tools.

Design and develop an always-available Cloud-based SaaS platform in AWS

Lead and Design the development of robust CI/CD pipelines for Kubernetes running Containerized applications

Design and build strong Application and System monitoring and automated self-healing procedures.

Maintain and support application deployments, building new systems and upgrading existing.

Working closely with all the Engineering and DevOps teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.

Required Staff MLOps Engineer
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Realize your potential by joining the leading performance-driven advertising company!
As a Staff MLOps 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 Staff MLOps Engineer 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.

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 a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
🚀 What Youll Do:
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex featuresfrom concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with qualitywriting clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

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.

The ideal candidate enjoys working in a fast-paced environment with highly innovative technologies.
Your Impact
Provision, configure, and support resilient hybrid cloud deployment architectures using the automation framework
Collaborate with development teams to ensure applications are production-ready, scalable, and reliable from the outset
Manage CI/CD platform, Linux infrastructure, and collaborate with other SREs to deploy and maintain the automation framework, perform capacity planning, and create and review operational runbooks.
Set up critical infrastructure and develop tools and frameworks to automate operational tasks, including the deployment of machines, services, and applications
Participate in Incident Command on-call rotation supporting critical applications and services.
Conducts root cause analysis of critical business and production issues and drives future preventive measures
Manage scalability, capacity planning, redundancy, and resiliency
Maintain service availability and performance SLAs based on business and product requirements.
Contribute to documentation related to design, deployment, validation, and operations
Design proactive service monitoring, alerting, and trend analysis of underlying infrastructure, and support the operations team in implementation
Establish end-to-end monitoring and alerting on all critical components of the application.

As a Senior DevOps Engineer on our Production Engineering team, you will be at the forefront of ensuring the stability, scalability, and performance of our production systems. Youll be responsible for the health of large-scale cloud environments, investigating incidents, driving root cause analysis, and implementing long-term solutions that improve system reliability. Youll also own and continuously improve the production release process, ensuring deployments are safe, automated, and well-orchestrated. Youll collaborate closely with engineering, platform, and SRE teams to ensure world-class operational excellence for our customer-facing services.
Your Impact
Own the end-to-end release process: plan, coordinate, and execute deployments across environments with a strong focus on safety, reliability, and automation
Ensure stability and performance of all production systems, maintaining high availability through proactive monitoring and incident management
Investigate and resolve complex production issues, driving post-incident reviews and implementing long-term fixes
Respond to critical incidents and customer escalations with a calm, structured approach and clear communication
Define and uphold best practices for change management, observability, and system reliability
Manage infrastructure-as-code using Terraform for scalable cloud deployments
Improve monitoring, alerting, and recovery mechanisms to detect and resolve issues faster
Automate repetitive operational tasks through scripting and tooling
Collaborate with development teams to ensure smooth delivery and stable operation of new features
Participate in an on-call rotation to support production systems.

We are looking for a Principal Software Engineer to join our team and revolutionize the way our system is built.

What your day will look like:
The correlation team is an integral part of the platform group, focused on developing and enhancing the core algorithms that power the products.
As a part of this team, you will be at the forefront of innovation, driving the development of the "Correlation" engine, a proprietary secret sauce algorithm, central to the platform's data-related capabilities, and fortified by a portfolio of patents.
As a Principal Software Engineer on the correlation team, you will lead the research, design, and implementation of the cutting-edge algorithms and infrastructure that drive the Platform. You will strategize and execute engineering efforts to achieve high scalability and performance. This role offers a unique opportunity to contribute to groundbreaking technology and shape the future of cybersecurity asset management.
Responsibilities:
Be a key member of the R&D team, solving and implementing complex engineering challenges.
Leading end-to-end implementations of technologies at the core of product.
Research solutions using data
Be hands-on: conduct research, perform POCs, and solve complex engineering challenges.
Contribute best practices and architectural leadership to our backend applications

We are building our next-generation, cloud-based data pipeline and are looking for a strong backend software engineer. This engineer should be excited about building systems from scratch, love to take an active role, and be able to quickly dive into complex, large-scale environments and lead them.

By joining this team, you will, among other products, help develop the following products:

Network Discovery: A product that delivers full visibility into every device on a corporate network. Customers can manage any asset, including those not yet protected or supported by us, thanks to machine learning that automatically identifies all IoT devices.
Vulnerability Management: A platform module that enables customers to analyze and prioritize the vulnerabilities detected by our cybersecurity solutions on their endpoints.

What will you Do?
Own features end-to-end - Join a cross-disciplinary squad of backend and frontend engineers working alongside Windows, Linux, and macOS endpoint specialists - taking ideas from whiteboard to production.
Build customer-facing security insights - Design, implement, test, and deploy backend services that turn raw cybersecurity events into clear, actionable information.
Shape our platforms architecture - Lead the design of new modules across several strategic product lines, choosing patterns and technologies for scale, reliability, and performance.
See your impact - Your work directly improves how customers understand risk and respond, making it a visible part of key company initiatives.

As a Senior DevOps Engineer , youll be at the forefront of shaping, operating, and scaling our production environments. Youll work closely with other engineering teams to ensure the reliability, scalability, and security of our platform, while continuously innovating and introducing modern, cutting-edge solutions.

Our workloads are fully Kubernetes-based, running on spot instances in a multi-cloud environment, with AWS as our primary cloud provider. Our architecture is stateless by design, leveraging cloud-native S3 for elastic storage and as a data lake. This enables advanced data pipelines with Airflow for data transformation and Clickhouse for high-speed queries.

This simple yet innovative architecture allows for rapid development iterations with minimal disruption to day-to-day operations, empowering constant optimization and high agility.

What Youll Do:
Proactively optimize and enhance delivery and live production environments

Partner with R&D teams by standardizing processes and providing self-serve tools for safe and fast execution

Establish and maintain efficient observability and visibility standards to support better decision-making across all teams

Enforce security and compliance best practices in day-to-day operations

Challenge and improve our technology stack by proactively introducing and developing new tools and approaches