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We are looking for a Technical Presale Engineer with a strong technical orientation in cybersecurity and networking, 24 years of customer-facing experience (e.g., presales, solution architects, technical account managers, training, or consulting), and a willingness to travel. The ideal candidate should be presentable, energetic, and able to build strong client relationships. You will help execute technical presales processes and contribute as a trusted client advisor, ensuring successful solution delivery and long-term customer satisfaction.

Responsibilities
Run Engaging Demos: Conduct technical and non-technical demonstrations of cybersecurity solutions tailored to diverse stakeholder audiences, including CISOs, CIOs, and IT/Security leaders.

Own and Conduct POC Processes: Lead the Proof of Concept (POC) process, from initial setup to final evaluation, ensuring client success and satisfaction.

Industry & Competitive Awareness: Stay informed about industry trends, emerging cybersecurity threats, and competitor solutions to provide informed recommendations and maintain a competitive edge.

Technical Advisory Role: Serve as a trusted technical advisor, guiding key decision-makers (CISOs, CIOs, IT/Security leaders) on how to address their cybersecurity challenges and achieve their strategic goals.

Collaboration with Product and Engineering Teams: Partner with internal teams to design and implement complex solution architectures, ensuring alignment with client needs and technical feasibility.

We are looking for a passionate and experienced AI Agentic Developer to join our SCA Department .
In this role, you will drive the evolution of our Software Composition Analysis (SCA) platform into the era of autonomous AI agents.
Youll lead the integration of our security capabilities into modern AI workflows and toolchains, leveraging technologies such as LangChain, AI code assistants, agentic frameworks, and large language models (LLMs).
Youll work on building robust, scalable backend services in Go and Python, supporting high-throughput, enterprise-grade systems. Youll also collaborate with AI researchers, DevOps, and product managers to define and deliver intelligent, secure solutions for the developers of tomorrow.
**Working in a hybrid model! ( two days from the office, three days from home**
Responsibilities:
Design and implement high-performance, fault-tolerant backend systems using Go and Python.
Build and maintain integration layers between SCA platform and AI agents, LLM-based systems, and developer tools.
Collaborate with AI research and platform teams to build secure, intelligent agentic workflows.
Architect scalable services that support real-time decision-making and security insights for autonomous agents.
Lead and participate in design discussions, code reviews, and AI/ML experimentation loops.
Guide junior team members and contribute to a knowledge-sharing culture.

We are seeking a highly motivated Chip Architect to join our team and help shape the future of next-generation high-performance networking. our companys next-generation Ethernet and NVL switches are at the core of the worlds most advanced compute clusters from powering AI factories to scaling NVL-based GPU systems used in training/inferencing of the largest foundation models. As a Chip Architect at our company, you will play a central role in defining the architecture of these high-bandwidth, low-latency switches. Your work will directly impact how AI supercomputers, hyperscale data centers, and cutting-edge research platforms communicate at scale. You will join a team with a strong track record of first-in-the-world products and help deliver the next leap in networking technology.
What You'll Be Doing:
Define the end-to-end architecture and full feature set of next-generation NVL and Ethernet switch chips across all stages of the product lifecycle from early concept to deployment.
Develop architectural specifications and design guidelines, and drive trade-off analyses across multiple architecture options.
Lead research and exploration of future architectures, including innovation that contributes to patent development.
Collaborate closely with cross-functional teams including other architecture groups, logic design, firmware, system software, and research to ensure successful execution and integration.
Act as a technical leader and subject matter expert, mentoring others and driving architectural excellence across the organization.

Were building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.
In this role, youll:
Research and develop next-gen code analysis and remediation algorithms
Work hands-on with GenAI models and integrate them into detection workflows
Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations.
What You'll Do:
Design and implement machine learning and algorithmic solutions for code analysis
Build GenAI-powered developer tools for static and semantic code analysis
Enhance our existing detection infrastructure with intelligent, context-aware insights
Translate cutting-edge research into practical, scalable product features

We are looking for an experienced AI/ML Engineer to join our Applications team within our platform engineering group. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model deployment both in cloud environments and on-premises using GPUs and CUDA. Youll optimize and implement ML models, workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy ML models, AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust ML pipelines and systems.
Deploy models on cloud and on-premises GPU servers.
Optimize system performance, including model inference, scalability, and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

Were looking for an experienced Automation Engineer to join our QA Automation team and help shape the future of quality. In this role, youll play a critical part in developing innovative testing systems for our SaaS productensuring every release is fast, reliable, and built to scale.

Responsibilities
Lead the design, development, and maintenance of automated tests across UI, API, and integration layers.
Collaborate closely with developers and QA engineers to define robust test strategies and drive quality from the ground up.
Build and evolve scalable, maintainable test frameworks that empower fast and confident delivery.
Integrate automation into CI/CD pipelines, maintaining high coverage across services and components.
Participate in feature planning to align test efforts early and ensure full lifecycle coverage.
Leverage infrastructure-as-code and scripting to streamline and optimize testing environments.

We are looking for an experienced Software Engineer with GenAI/ML knowledge to join our AI/ML Applications team. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and GenAI pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model/agent deployment both in cloud environments and on-premise. Youll optimize and implement workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust GenAI systems.
Optimize system performance, including robustness, scalability, communication protocols and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

We are seeking an experienced Program manager to join our Program Management team as part of our product and engineering group.

The Program manager will own the squads delivery and processes reporting directly to the Director of Program Management, Collaborate with Development, Data Science, Research and Product teams to drive successful execution of squad deliverables. The Program manager will play a crucial role in driving the development and delivery of our advanced AI-driven cybersecurity solutions.



Responsibilities
Lead and manage multiple squads, ensuring efficient workflow and high-quality output
Partner with the Product Manager and R&D Manager to oversee the end-to-end development process for our cybersecurity solutions
Collaborate with the Director of Program Management to align squad goals with overall company objectives
Foster a culture of innovation, continuous improvement, and technical excellence
Mentor and develop team members, providing guidance and support as needed
Implement and optimize agile methodologies to enhance team performance and product delivery

We are seeking an experienced Senior Backend Engineer with a passion for tackling complex challenges across a diverse range of technologies. Your role will involve a deep commitment to software design, code quality, and performance optimization. As part of our Engineering team at Dream, your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.

As a Senior Backend Engineer, you will take a lead role in developing the backend infrastructure to efficiently handle, process, and store massive volumes of data. Your expertise will play a crucial part in building a scalable, high-performance backend system that serves as the foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable backend designs.

Responsibilities
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise to create robust backend solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

We are seeking a highly skilled and experienced Team Leader to join our team. As a Team Lead, you will be responsible for architecting, developing and enhancing all components of our SAAS solution.
**Working in a hybrid model! ( two days from the office, three days from home. )**
Responsibilities:
Leading and managing a cross-functional development team to design and develop the AppSec SAAS Platform from concept to deployment.
Mentoring and coaching team members on technical skills, career development, and best practices in software engineering.
Driving strategic technical decisions for both frontend and backend systems.
Collaborating with stakeholders across departments to gather requirements, define project objectives, and ensure alignment with product & business goals.
Overseeing the development of efficient and reliable frontend and backend systems using React, Java, and other related technologies.
Leading and championing proof-of-concept initiatives focused on artificial intelligence empowerment, demonstrating the feasibility and value of GenAI solutions for business challenges.
Managing project timelines and resource allocation while ensuring optimal application performance, scalability, and reliability.
Establishing team standards for database design, query optimization, and data integrity practices.
Practicing quality assurance processes including code review, testing strategies, and debugging methodologies.
Fostering a collaborative environment that promotes knowledge sharing, continuous learning, and adherence to best practices.
Staying current with emerging technologies and leading the team's adoption of cutting-edge solutions, particularly in the GenAI space.

We are looking for an experienced Senior DevOps Engineer to join our DevOps team who is passionate about software design, development and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on prem solutions.

Responsibilities
Build the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations
Troubleshoot issues in our development, production, and test environments
Excellent communication and people skills
Work well in a team!

We are looking for a Senior Go Developer with strong technical expertise, deep problem-solving skills, and a proactive, can-do attitude.
**Working in a hybrid model! ( two days from the office, three days from home. )**
What will you do?
Design and Develop scalable backend services for high-performance, distributed systems.
Troubleshoot and resolve production issues, ensuring reliability and efficiency.
Collaborate with cross-functional teams to integrate backend services into security platform.

Were seeking an experienced AI/ML Platform Engineer to join our Foundations team, the group behind our next-generation GenAI platform powering innovation across the company and beyond. This team is building scalable, high-performance AI systems for both internal users and external customersdesigned to run seamlessly across cloud and on-premise environments using the latest advancements in hardware. In this role, youll lead efforts in distributed training, inference at large scale, resource optimization, and robust model lifecycle management using MLOps best practices. Your work will be critical to accelerating research, supporting production-grade AI infrastructure, and driving the development of our internal AI ecosystem.

Responsibilities
Architect and build scalable ML infrastructure for training and inference workloads across heterogeneous compute environments (on-premise and cloud).
Design and implement distributed systems to support model lifecycle management from data ingestion and preprocessing, to training orchestration and deployment.
Optimize performance and cost-efficiency of large-scale model training and serving pipelines using technologies like Ray, Kubernetes, Spark, and GPU schedulers.
Collaborate with AI researchers, data scientists, and product teams to understand their workflows and translate them into reusable platform services and APIs.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.
Contribute to the long-term vision and technical roadmap of the ML platform, ensuring it evolves to meet the growing demands of AI across the company.

Were looking for an experienced infrastructure developer to join our QA Automation team. Youll be a key player in building an innovative automation platform for our SaaS product, ensuring our engineering quality reaches new heights.

You will focus on building, maintaining, and enhancing the infrastructure that supports test automation across both backend and frontend. You will be responsible for creating and optimizing tools, frameworks, and pipelines that enable the development and execution of automated tests. This position requires a strong technical background in automation infrastructure, CI/CD integration, and cloud technologies.

Responsibilities


Design, build, and maintain automation infrastructure that supports automated test execution for UI, API, integration tests and more.
Work closely with developers and QA teams to integrate automation tools into the CI/CD pipeline, ensuring automated tests run efficiently and reliably.
Manage the underlying infrastructure, including Docker, and cloud-based services, to ensure smooth operation of the test automation framework.
Create and optimize tools and scripts that facilitate the development and execution of automated tests (e.g., integrating with GitHub Actions, Jenkins, etc.).
Continuously monitor the performance of the test infrastructure, troubleshoot issues, and optimize the environment for speed and scalability
Promote and implement best practices for building and maintaining automation infrastructure, ensuring high standards for reliability and maintainability
Partner with DevOps, developers, and product managers to define automation strategies and enhance software quality.

We are seeking an experienced Production Engineer to join our SRE team as part of our Platform Engineering group. This role involves taking ownership of monitoring, deploying, and ensuring the reliability of production-grade modern SaaS platforms across Cloud and On-Premise environments.



Responsibilities
Lead initiatives to enhance product reliability and system readiness.
Design and implement sophisticated monitoring solutions to ensure high availability and performance of our production platform.
Oversee and refine the entire product reliability pipeline.
Proactively troubleshoot and resolve issues across production environments.
Champion an "Everything as Code" approach using a wide range of technologies including Ansible, Terraform, Helm, Python and more.
Develop advanced tools for automation, deployment, monitoring, and operations.
Exhibit excellent communication and interpersonal skills to effectively collaborate within the team and across departments.
Promoting best practices in reliability and system operations.