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We are looking for an experienced Sr. Principal Architect to join the XSIAM engineering group in a highly cross-functional, product-facing role. This position sits at the intersection of engineering, product management, customer success, and product architecture, helping shape scalable and innovative solutions across the XSIAM product.
The ideal candidate combines deep technical expertise with strong product thinking, enabling them to translate business and customer needs into clear architectural direction and execution strategies. This role requires close collaboration with engineering teams, product managers, and strategic customers to drive platform capabilities, integrations, scalability, and long-term architectural vision.
Key Responsibilities
Lead architectural design and technical strategy for XSIAM platform capabilities and integrations.
Define best practices, technical standards, and scalable design patterns across the organization.
Work closely with customers, field teams, and support organizations to understand real-world use cases and pain points.
Evaluate tradeoffs between scalability, performance, security, operational complexity, and delivery timelines.
Support strategic customer engagements and complex deployment scenarios.
Mentor engineers and technical leaders on architecture, system design, and product-oriented engineering thinking.
Act as the bridge between engineering, product, and site reliability (SRE) to ensure that architectural designs translate into operational excellence.

Required Senior Production Service Developer
Job Description
Maintains production infrastructure, platforms and services. Works independently with other teams in the organization and provides solutions for their needs. Designs and implements new, scalable solutions for fast changing environments with oversight from senior team members. Performs deep drill down analysis into production support operations and provides necessary fixes. Independently Investigates errors and recommends changes to enhance troubleshooting processes. Builds and implements standard to moderately complex enhancements to resolve defects. Monitors and brings in new ideas to improve production infrastructure, platforms, and/or services. Participates in stakeholders meetings and works on the design, development, configuration, implementing, of enterprise supporting systems. Identifies server architecture and networking solutions. Conducts moderately complex code and architecture reviews and resolves performance and scalability issues to improve products and services.
Key Responsibilities
Production Infrastructure:
-Maintains the production infrastructure, platforms, and services which support the growing client base as well as designs and implements highly scalable environments.
-Works independently with other teams in the organization and provides solutions for their needs.
-Designs and implements new, scalable solutions for fast changing environments with moderately complex needs in various fields (e.g., configuration deployments, monitoring, and logging) with oversight from senior team members.
Troubleshooting, Testing, and Improvements - Drilldown Analysis/Troubleshooting:
-Performs deep drill down analysis into production support operations and provides necessary fixes.
-Investigates errors, debugs source code and performance bottlenecks, and independently provides root cause analysis (RCA) if needed.
-Recommends changes to enhance troubleshooting processes.
Troubleshooting, Testing, and Improvements - Testing and Improvements:
-Builds and implements standard to moderately complex enhancements (e.g., automating alerts) and resolves complex defects.
-Globally works with cross functional teams to ensure service health with pre-production testing of new releases, post-change validation, and automation work to improve the testing.
-Monitors and brings in new ideas for the improvement of production infrastructure, platforms, and/or services.
-Creates user acceptance test plans.
System Design and Architecture - System Design:
-Works on the design, development, configuration, implementing, and/or deployment of enterprise supporting systems.
-Works with external or internal customers to implement large scale solutions, business process architecture, application system design, and implementation.
-Participates in stakeholders meetings for requirements gathering.
System Design and Architecture - System Architecture:
-Identifies solutions in experience of application or server architecture and networking.
-Collaborates with senior partners in the development of architecture standards and practices.
Product/Service Development:
-Independently collaborates on the design, development, and enhancement of new and existing products and services from inception and design through business feature requirements.
-Conducts moderately complex code and architecture reviews of the products and services.
-Resolves performance and scalability issues related to products and services.
-Identifies opportunities to improve health, scalability, and resiliency of products and services.

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.

We are seeking a highly motivated architect to join our team of experts and take part in shaping the future of high-performance ML / AI computing. Our next-generation Spectrum-X, InfiniBand and NVLink systems will be at the heart of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today. As a system/software architect, you will have the opportunity to work on some of the most innovative technology that is currently driving the world forward.

What youll be doing:

Define the next generations of Spectrum-X, InfiniBand and NVLink SW architecture.

Research of various solutions by defining and running POCs, evaluate SW and HW impact and conveying the solution architecture to the relevant teams. The solutions can span over various layers: from algorithms and high level software to firmware and HW.

Collaborate with multi-functional teams, including other architecture teams, VLSI logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We are looking for a Development Engineer to join our team. This is a technical operations development engineer to contribute to production infrastructure, platforms, and/or service improvements.
Description:
Follows general guidance to maintain production infrastructure, platforms and services. Works with other teams in the organization and participates in the design review of new, scalable solutions for fast changing environments with limited supervision. Supports the execution of deep drill down analysis into production support operations and implements necessary fixes. Investigates errors and triages issues to determine resolution. Builds and implements small to standard enhancements to resolve defects. Contributes to production infrastructure, platforms, and/or service improvements. Contributes to the design, development, configuration, implementing, of enterprise supporting systems. Contributes to server architecture and networking solutions. Conduct simple code and architecture reviews and resolves simple performance and scalability issues to improve products and services.
Key Responsibilities
Production Infrastructure:
-Follows general guidance to maintain the production infrastructure, platforms, and services which support the growing client base as well as to support the design and implementation of highly scalable environments.
-Works with other teams in the organization and provides solutions for their needs.
-Participates in the design review of new, scalable solutions for fast changing environments with complex needs in various fields (e.g., configuration deployments, monitoring, and logging) with limited supervision.
Troubleshooting, Testing, and Improvements-Drilldown Analysis/Troubleshooting:
-Supports the execution of deep drill down analysis into production support operations and implements necessary fixes.
-Investigates errors, debugs source code and performance bottlenecks, and provides root cause analysis (RCA) if needed with assistance from others.
-Triages issues and connects with SMEs to determine resolution.
Troubleshooting, Testing, and Improvements-Testing and Improvements:
-Builds and implements small to standard enhancements (e.g., automating alerts) and receives minimal guidance to resolve defects.
-Globally works with cross functional teams to ensure service health with pre-production testing of new releases, post-change validation, and automation work to improve the testing.
-Contributes to changes, evolution, improvements, simplifications, and development of new ideas for the production, platforms, and/or services.
-Participates in the creation of user acceptance test plans.
System Design and Architecture-System Design:
-Contributes to the implementation and deployment of enterprise supporting systems with minimal guidance.
-Works with limited external or internal customers to implement large scale solutions, business process architecture, application system design, and implementation.
System Design and Architecture-System Architecture:
-Contributes to the identification of solutions in experience of application or server architecture and networking.
-Participates in the development of part of the architecture standards and practices.

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

You will be in charge of developing full-chip physical design methodologies, Physical Verification development and support through all the projects, Tapeout activities for implementation of networking chips and SOCs.

Work closely with Full Chip Layout owners and block owners, project managers to assure high quality and timely convergence.

Come up with unique and creative solutions to the state of the art FCL physical design problems that are needed for our chips.

We expect you to run, debug, and approve Physical Verification flows across multiple projects, ensuring strict adherence to our high standards.

Participating and developing flow and tool methodologies for fullchip, physical design verification across multiple projects.

Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.

Our System Product Engineering team is looking for a SW engineer to design and develop the backend and tooling infrastructure supporting the test and validation of next-generation networking systems. This position plays a key role in building the software systems and services that enable effective, scalable, and automated validation, helping our test teams deliver high-quality products quickly and efficiently.

What youll be doing:

Design and implement infrastructure and backend services to support test execution, test management, and reporting across multiple platforms and teams.

Develop automation tools, pipelines, and interfaces to streamline validation workflows and data handling.

Collaborate with validation engineers to understand testing needs and translate them into reliable, scalable software solutions.

Contribute to improving system reliability, maintainability, and observability of infrastructure components.

Support CI/CD integration for validation processes and services.

Get ready to shape the future of software development at our company! You'll be joining a pioneering team building our revolutionary, internal agentic AI tool. This isn't just another product; it's our solution for increasing developer productivity through advanced vibe coding using state-of-the-art LLM models.
We are developing an enterprise-grade, high-scale platform, designed to be used by thousands of our own engineers. We are looking for a tech-savvy and innovative developer who is excited to build the generative AI-powered tools that will define our next generation of engineering.
Key Responsibilities
Drive the development of sophisticated, AI-powered features end-to-end, from ideation and technical design to seamless deployment in production.
Architect and implement hyper-scalable solutions on GCP capable of supporting thousands of developers, ensuring enterprise-grade quality and reliability.
Obsess over the developer experience, passionately enhancing the user experience (UX) of the product's features to create an intuitive and powerful tool.

We’re looking for a Senior Backend Engineer to join our R&D team and play a key role in building the company’s core technology from the ground up.
In this role, you’ll take end-to-end ownership of our backend systems - from architecture and technical design, through hands-on development, to production and scale. You’ll lead the creation of reliable, scalable foundations that bring Mami’s product vision to life.
At Mami, engineering goes far beyond writing code. You’ll work closely with every function in the company to design and build systems that solve meaningful business problems and directly impact the product and users.
What You'll Do
* Build and lead complex, scalable backend systems that power our core web platform
* Design and implement solid architectures with a strong focus on performance, reliability, and maintainability
* Champion a "Full-cycle" engineering culture, owning everything from design to production-grade deployment
* Collaborate closely with engineering and product teams to ensure efficient, well-integrated systems across platforms
* Continuously raise the bar on code quality, best practices, and engineering standards

abra professional services is seeking a Project Manager! We are looking for an experienced Technological Project Manager to lead end-to-end development and implementation of AI solutions within a complex, multi-interface technical environment. This role requires a unique combination of technical and architectural understanding, strong client- and business-facing skills, and the ability to manage and drive development teams and vendors. Key Responsibilities
* Lead technological projects from business requirement identification through definition, architecture, development, testing, deployment, and adoption.
* Translate business needs and objectives into functional/technical specifications and actionable development tasks.
* Drive projects focused on AI technologies, including integrating AI solutions into organizational workflows and legacy/enterprise systems.
* Work closely with system architectures, integrations, APIs, and cross-system interfaces.
* Oversee day-to-day execution in Jira—managing backlogs, sprint planning, task prioritization, dependencies, status updates, and progress tracking.
* Maintain ongoing communication with business owners and clients, managing expectations, requirements, and executive status reporting.
* Motivate and coordinate cross-functional development teams, internal departments, and external vendors to hit deadlines and deliverables.
* Concurrently manage multiple projects and interfaces, proactively identifying risks, bottlenecks, and mitigation strategies.
* Oversee UAT testing, production deployment, and system integration.

We're looking for a software engineer who specializes in machine learning - someone whose core strength is writing excellent, production-grade code. You'll own the engineering quality of our ML systems: building, maintaining, and monitoring the services that run our models in production, and helping our data scientists ship code that's readable, maintainable, and built to last.

Responsibilities

Transition ML workloads from research to production - ensuring scalability, efficiency, and reliability.
Design, build, and maintain ML services, their infrastructure, and monitoring across their lifecycle.
Integrate ML into our production systems, working closely with the engineering and devops teams.
Own the data infrastructure and tooling our ML systems rely on, and shape unstructured data into a form ready for analysis.
Help data scientists write readable, maintainable code, and raise software engineering standards across the team.

At our company, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our company can create a work-life harmony that best fits them.

What Youll Do:

Partner with the sales team to articulate the overall Datadog value proposition, vision and strategy to customers
Continually learn new technology to build competitive knowledge, technical skill, and credibility
Deliver product and technical presentations with potential clients
Have a direct line of communication with the product team to collaborate on feature requests
Help clients onboard the product and assist when they run into roadblocks.
Think creatively about a wide variety of technical challenges during the pre-sales life cycle

You will join the Platform Automation group, the central engine driving the next generation of security operations. Our team owns the foundational automation
layer of the Cortex Platform. We are responsible for the Automated Remediation capabilities that unify detection, investigation, and response across the entire Cortex suite, including XSIAM, XDR, and XSOAR, and Cortex Cloud.
As a Senior Software Engineer, you will be a high-impact technical contributor responsible for developing and scaling our automation ecosystems. This role requires an engineer who can translate emerging LLM capabilities into production-grade reliability. You will work on the technical foundations that enable autonomous security workflows, ensuring our platform is robust and compatible with the evolving Agentic AI landscape.
Your Impact
As a Senior Software Engineer, you will create simple solutions to complex problems and drive technical excellence.
End-to-End Ownership: Take full responsibility for features from inception to production, including negotiating requirements and scope with Product Managers and performing comprehensive QA/validation for your own deliverables.
Scalable Engineering Standards: Implement high-quality technical standards for the platforms automation ecosystem, utilizing advanced CI/CD governance and robust telemetry to track execution health.
Codebase Adaptability: Demonstrate the ability to quickly gain proficiency in unfamiliar, complex codebases and contribute high-quality code across different repositories and tech stacks.
AI Production Fluency: Architect end-to-end AI pipelines and design, tune, and orchestrate autonomous agentic models, keeping in mind limitations like atency, hallucinations, and determinism, seamlessly embedding advanced cognitive capabilities into scalable production systems.
Prototyping & Integration: Proactively take on new product areas, building prototypes and integrating new functionality into existing systems with minimal guidance.
Cross-Team Collaboration: Act as a technical bridge between diverse R&D teams to drive unified, complex initiatives.