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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 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 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.

We are looking for a python developer who is passionate about software design, code quality and problem solving. This versatile role involves writing production-grade python code that will integrate with 3rd party devices and services to collect data that will be used by our AI platform.

Responsibilities
Design and deliver production-grade, high-quality and robust code.
Research a wide range of software and network devices to find the best data collection solutions.
Collaborate with customers to resolve issues and expand Dreams collection portfolio.
Prioritize collection capabilities together with our product team based on customers needs and define milestones.
Work effectively within a team, contributing to a collaborative and innovative development environment.

Were looking for a Senior Backend Engineer - Data Infrastructure to design and optimize high-performance infrastructure capable of handling massive data volumes. In this role, youll lead backend development, architect scalable data pipelines, and ensure seamless data processing. Your expertise in distributed systems and performance optimization will drive innovation, transforming intricate security challenges into efficient, resilient solutions.

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 an innovative and experienced Senior Software Developer to join our team. This team is pioneering a new wave of application security solutions focused on identifying risks in AI-powered software. If you're passionate about software security, skilled in backend engineering, and intrigued by the intersection of AI/LLMs and security, we want you on our team.
The product scans application source code to detect embedded AI/ML models, libraries and framework, understand their behavior, and surface potential security risks; from data leakage to prompt injection vulnerabilities. This is a high-impact role that blends backend engineering with cutting-edge AI applications, helping organizations secure the next generation of software.
You're invited to meet the R&D team here!
**Work in a hybrid model: Two days from the office, three days from home**
Responsibilities:
Design and implement backend systems that scan source code, identify AI/ML components, and evaluate associated security risks.
Build intelligent detection logic to recognize large language models (LLMs), machine learning models, and custom pipelines in codebases.
Collaborate with security researchers, data scientists, and product managers to integrate AI risk models into our core platform.
Develop scalable and maintainable services in Java and Go.
Translate research prototypes into production-grade features, with attention to performance, resilience, and accuracy.
Conduct code reviews, maintain high development standards, and mentor team members.

Were forming a new elite team to shape the next generation of our SAST detection infrastructure with the power of Generative AI. Were looking for a hands-on Team Lead with a solid foundation in code analysis algorithms and a proven track record in building GenAI-driven systems.
As a leader, youll recruit and mentor top-tier talent, set the technical vision, and work across research, product, and engineering to deliver high-impact solutions.
You're invited to meet the R&D team here!
What You'll Do:
Lead the design and development of next-generation code analysis infrastructure by building and managing a high-performing team of algorithm engineers and research scientists.
Drive technical innovation around GenAI integration into static code analysis workflows
Design and review algorithms for semantic code understanding and vulnerability detection
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to to align team direction with strategic goals
Foster a strong engineering culture of experimentation, ownership, and impact

We are looking for a Backend Developer to join our highly experienced global team in the R&D department.
As a Backend Developer, you will play a pivotal role in designing, developing, and maintaining robust and scalable solutions for our Infrastructure Monitoring product line. The Infrastructure Monitoring team is responsible for a diverse range of products, including but not limited to Kubernetes observability , DB monitoring, Cloud monitoring.
In this role, you will be at the forefront of advancing these products, ensuring they meet the highest standards of performance, reliability, and innovation.
What Youll Do:
Own the entire integration setup cycle: from design, development, and testing to seamless production deployment.
Conquer diverse infrastructural challenges: solve real-world problems and contribute to a constantly evolving platform.
Collaborate with passionate engineers and product minds: join a team dedicated to building the future of observability.
Tech Stack You'll Master:
Rust
Python
AWS / GCP / Azure
Kubernetes
Prometheus
OpenTelemetry
Kafka
Redis

We are looking for a DevOps Engineer-IDP Team
What Youll Do:
Streamline Delivery Build and run self-service pipelines with our internal Platform Orchestrator, which uses ArgoCD & Argo Workflows for build, test ,deploy, validate, and scan.
Elevate DevEx Grow Backstage into the single entry point for engineers through catalogs, golden-path templates, and clear docs.
Software Rollout Strategies - Define safe rollout strategies (blue/green, canary, Argo Rollouts) and automate promotions across environments.
Incident-Ready Platform Participate in platform on-call, drive post-mortems, and turn findings into hardening and auto-healing features.
Automate Everything Craft Python/Go tools and CLIs that eliminate toil and bake best practices into everyday workflows.

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.

We are looking for a DevOps DevOps Engineer to take ownership of our Cloud Infrastructure and Platform Engineering strategy, enabling high-scale, cutting-edge GenAI products running across 40+ Kubernetes clusters on GCP and AWS.
This role is a hands-on engineering , requiring deep expertise in cloud-native technologies, Kubernetes at scale, and modern DevOps principles. You will work closely with engineering teams to design and implement scalable infrastructure solutions, optimize developer workflows, and ensure reliability and efficiency across our platform.
Role and Responsibilities:
Cloud & Kubernetes Expertise: Design and implement highly scalable multi-cluster Kubernetes environments across GCP & AWS.
Developer Experience & Enablement: Lead the development of self-service tools and automation that improve efficiency for R&D teams.
Incident & Reliability Engineering: Work with engineering teams to optimize cost, performance, and reliability of production infrastructure through monitoring, capacity planning, and scaling strategies.
Security & Governance: Contribute to best practices for RBAC, IAM, cloud security, and compliance while ensuring infrastructure reliability.
Automation & Infrastructure as Code: Drive adoption of GitOps workflows and Infrastructure as Code (Terraform, Helm, Crossplane) to enhance automation and consistency.
Mentorship & Team Growth: Provide technical mentorship within the platform engineering team and contribute to knowledge-sharing across R&D.
Cross-Team Collaboration: Work closely with engineering teams to align cloud infrastructure goals with business needs and reliability requirements.

Were looking for a Senior Full-Stack Engineer to join the Labs Platform team!
You will be designing and developing high quality, 100% AI-based products, taking them all the way from the ideation stage to production.
Your responsibilities will include helping build a team of highly talented and experienced developers, and working on cutting-edge technologies and aspiring projects in a fast-paced environment. In addition, inspire others to adopt software engineering best practices by identifying and implementing them.
Role and Responsibilities:
Design and implement complex features and deploy them to various environments
Be fully involved from the kick-off phase with product management, all the way to production
Help with coaching and mentoring team members, and maintaining high standards of software quality within the team
Build internal tools & platforms for solution engineers to engineer complex AI solutions for specific use-cases

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 are looking for a Infra Ops Tech Lead.
As an Infra Ops Tech Lead, you will:
Provide technical leadership and drive implementation of new capabilities from idea to production
Collaborate closely with R&D teams across the company
Lead the exploration and integration of new infrastructure solutions as a part of the companys product offering
Design and build automation tools and internal systems to enhance operational efficiency
Conduct open-source research and find creative solutions to technological challenges
Lead innovative technological initiatives and bridge between research, development and infrastructure while shaping internal tools and workflows
Continuously analyze workflows and optimize performance