דרושים » תוכנה » Advanced Security Response Engineer

The Infrastructure and Developer Platform (IDP) team within the Microsoft Threat Protection (MTP) organization builds and maintains the infrastructure and developer platform that all Defender products rely on, in an unmtachable scale. This platform allows engineers across MTP to more easily deploy their services, lower costs, and increase security and reliability across our fleet.



Responsibilities


Serve as a hands-on Kubernetes subject matter expert, driving architecture, design, and implementation of scalable, secure, and resilient AKS-based solutions.
Design and implement cloud-native security solutions using Azure technologies, with a focus on container runtime protection, policy enforcement, and threat detection.
Own and deliver production-grade services with high availability, reliability, and performance across global AKS deployments.
Develop and maintain CI/CD pipelines, secure build systems, and automated testing frameworks tailored for Kubernetes workloads.
Drive observability and telemetry improvements, including logging, monitoring, alerting, and incident response for services.
Identify and implement innovative approaches to secure Kubernetes workloads at scale, including leveraging AI/ML for anomaly detection.
Contribute to strategic initiatives that shape Microsofts container security roadmap and influence industry best practices.
Mentor junior engineers and contribute to engineering culture through code reviews, design discussions, and knowledge sharing.
Demonstrate ownership and accountability for end-to-end delivery of features and services.
Exhibit growth mindset by continuously learning and adapting to new technologies, threats, and customer needs.
Influence engineering decisions and drive impact beyond the immediate team.

we are looking for a Product Security Engineer to join our growing 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.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Responsibilities
Implement and maintain security controls for applications and systems.
Conduct DAST, SAST, vulnerability scans, and penetration tests.
Develop and enforce security policies and best practices.
Monitor logs, investigate incidents, and respond to threats.
Collaborate with development teams to ensure secure coding practices.
Stay updated on emerging threats and industry standards.

we are seeking a Principal Backend Engineer to become a vital part of our Cortex backend engineering group, primarily focusing on the development and maintenance of our Cortex products, including Cortex XSOAR, Cortex XSIAM and new Cortex AI solution. Located predominantly in our TLV office, our team operates with high efficiency and swift decision-making processes.
In this role, you will design and implement robust backend services for Cortex XSOAR, a leading-edge security orchestration, automation, and response platform. This position requires a solid background in software engineering, with proficiency in Go or Python, and a keen interest in tackling complex technical challenges within the cybersecurity sphere.
As a member of our dynamic team, you will also contribute to creating innovative AI-based solutions leveraging the Cortex product line, enhancing shared Cortex infrastructures and components. We value candidates who are proactive, passionate about problem-solving, and committed to delivering substantial impact to thousands of customers. This role is an exceptional opportunity for those eager to advance Cortex XSOAR with AI-driven capabilities and make a significant mark in the cybersecurity industry.
More information about XSOAR, here.
Your Impact
End-to-end backend development of features and components across their entire life cycle (design, develop, test, deploy, maintain)
Work closely with peers across different teams and disciplines to shape solutions and integrate with other parts of the product
Contribute to team-wide efforts - code reviews, design reviews, technical and architectural decisions
Production oriented approach with providing real time mitigation and solutions to production issues.

we are at the forefront of the AI revolution, delivering cutting-edge accelerated compute platforms for global impact. Our Network Insights group is seeking a talented and motivated Sr. DevOps Engineer to architect, scale, and optimize the DevOps infrastructure supporting our advanced networking simulation services. In this high-impact role, you will lay the foundations to scale a key insight product to reach 10100 times more users, design robust CI/CD pipelines, drive automation, and ensure the reliability, scalability, and security of our cloud-based, and on-prem platforms.. If you are passionate about solving complex infrastructure challenges and enabling world-class software delivery, we want to hear from you.
What You'll Be Doing:
Architect and optimize CI/CD pipelines for large-scale, high-availability simulation services, ensuring fast, reliable, and secure deployments.
Drive automation across infrastructure provisioning, configuration management, and monitoring to support rapid development cycles and minimize manual intervention.
Collaborate with software engineering and product teams to design and implement scalable, cloud-native solutions that meet evolving business needs.
Promote standard processes in infrastructure as code, containerization, and cloud security, ensuring compliance and resilience across environments.
Monitor, troubleshoot, and resolve infrastructure and deployment issues, maximizing uptime and ensuring efficient performance for internal and external customers.
Evaluate and integrate new tools and technologies to continually enhance the reliability, observability, and efficiency of our DevOps ecosystem.
Participate in incident response and post-mortem processes, driving root cause analysis and systemic improvements.

As a Senior Software Engineer within the AI Security team, you'll play a critical role in developing specialised tools and services to secure our cutting-edge Agentic AI solutions. Youll collaborate closely with architects, researchers, and security experts to translate security research into robust, production-ready software systems focused on safeguarding AI initiatives.

What Youll Do:
Develop, maintain, and optimise high-quality backend software systems and APIs, specifically designed for Agentic AI security and safety.
Translate advanced security research findings into scalable software tools, services, and guardrails for securing AI models.
Collaborate with AI security researchers and architects to implement practical solutions for identifying and mitigating vulnerabilities unique to Agentic AI systems.
Contribute to engineering best practices (code reviews, unit testing, CI/CD pipelines) and ensure technical excellence across the development lifecycle.
Take ownership of significant features and services from conceptualization through deployment, continuously improving existing solutions.
Build and deploy data pipelines and ML model training pipelines.

Responsibilities:
Serve as a hands-on Kubernetes subject matter expert, driving architecture, design, and implementation of scalable, secure, and resilient AKS-based solutions.
Design and implement cloud-native security solutions using Azure technologies, with a focus on container runtime protection, policy enforcement, and threat detection.
Own and deliver production-grade services with high availability, reliability, and performance across global AKS deployments.
Develop and maintain CI/CD pipelines, secure build systems, and automated testing frameworks tailored for Kubernetes workloads.
Drive observability and telemetry improvements, including logging, monitoring, alerting, and incident response for services.
Identify and implement innovative approaches to secure Kubernetes workloads at scale, including leveraging AI/ML for anomaly detection.
Contribute to strategic initiatives that shape our container security roadmap and influence industry best practices.
Mentor junior engineers and contribute to engineering culture through code reviews, design discussions, and knowledge sharing.
Demonstrate ownership and accountability for end-to-end delivery of features and services.
Exhibit growth mindset by continuously learning and adapting to new technologies, threats, and customer needs.
Influence engineering decisions and drive impact beyond the immediate team.

We are looking for a DevOps Engineer with solid experience in AWS, strong coding skills in Python or TypeScript, and a proven track record in building infrastructure using Infrastructure as Code (IaC). Youll play a key role in designing, implementing, and maintaining scalable, secure, and reliable cloud environments using Pulumi.

Key Responsibilities
Comfortable working in a collaborative, team-oriented environment
Design and manage AWS infrastructure using Pulumi (or similar IaC tools), with a focus on scalability, maintainability, and automation.
Write and maintain high-quality infrastructure and DevOps tooling code in Python or TypeScript.
Collaborate with engineering teams to support CI/CD pipelines, release workflows, and environment management.
Ensure infrastructure follows best practices for security, monitoring, cost efficiency, and disaster recovery.
Perform root cause analysis and debugging for complex production issues across AWS infrastructure and application layers.
Drive improvements in DevOps practices, documentation, and team workflows.

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist. Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on our company Connect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of data analysis, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
What we're looking for:
our company delivers advanced behavioral insights, providing global organizations with actionable intelligence to create a secure and frictionless digital customer journey.
We are looking for a talented DevOps Engineer to join our team, learn develop and grow with us. In this role you will work collaboratively with our RnD teams to empower the operations and infrastructure array, which is essential to support our ambitious goals.
Build and maintain a scalable cloud infrastructure in Production (Azure, GCP)
Troubleshoot and fix Production infrastructure/platform issues
Proactively and continuously improve Production stability and robustness to assure our infrastructure components are always up and available
Develop end to end projects in order to make our infrastructure better in large-scale including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.