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Product Designer With a major experience in UX!
What will you do?
Design the user interface of complex systems from end to end - from the stage of sprouting the idea and analyzing the need through user analysis, characterization, design and development support to user feedback and delivery of the finished product.

applying its data expertise to security, enabling companies to better understand and manage risk. We have both a rich data platform and security modules that tap into the platform to provide immediate benefits to our customers. We have built and patented a Data Fabric for Security. It curates data from hundreds of security and business tools and contextualizes that data to help companies understand and address their riskiest problems. Our Unified Vulnerability Management module is our first module to tap into the power of our data fabric, enabling companies to create custom contextualized risk scores and tailored workflows to reduce risk. If youre passionate about data models and helping companies improve their security posture, wed love to have your talents here at as we work to make the world a more secure place.
We are seeking a DevOps Engineer to join our team. As a DevOps Engineer you will be a key player in our technology-driven journey. You will work with a diverse and talented team to shape and maintain our infrastructure, streamline deployment processes, and integrate new technologies seamlessly.
We are looking for a strong team player who is ready to contribute their expertise and collaborate in our fast-paced, innovative environment.
Responsibilities:
Design, implement, and optimize Kubernetes clusters to ensure scalability, reliability, and performance
Develop and maintain CI/CD pipelines using GitHub Actions to automate build, test, and deployment processes
Oversee the deployment and management of applications using ArgoCD, ensuring a smooth and efficient process
Leverage IaC tools such as Terraform and Terragrunt to build and manage infrastructure, providing a solid foundation for our applications
Maintain a keen awareness of production environments, proactively identifying and addressing issues to ensure system stability and performance
Actively research and implement new technologies to enhance our infrastructure and keep us on the cutting edge
Work closely with cross-functional teams to understand their needs and pain points, providing solutions and support
Contribute to initiatives that enhance the efficiency, security, and reliability of our systems

Avalor is applying its data expertise to security, enabling companies to better understand and manage risk. We have both a rich data platform and security modules that tap into the platform to provide immediate benefits to our customers. We have built and patented a Data Fabric for Security. It curates data from hundreds of security and business tools and contextualizes that data to help companies understand and address their riskiest problems. Our Unified Vulnerability Management module is our first module to tap into the power of our data fabric, enabling companies to create custom contextualized risk scores and tailored workflows to reduce risk. If youre passionate about data models and helping companies improve their security posture, wed love to have your talents here at Avalor as we work to make the world a more secure place.
We are seeking a Big Data Engineer to join our team. In this role, you will play a crucial role in designing, building, and maintaining our query engine. You will play a crucial role in managing large volumes of data, optimizing data pipelines, optimizing data query, developing complex analytics capabilities on top of the data and ensuring the reliability and scalability of our data infrastructure.
Responsibilities:
Develop our ETL and query engines using Java / Spring Boot / Scala / Zio
Deliver high quality features for our high-scale web environment
Participate in design from scratch to production
Monitor the performance and cost of the services in production
Stay up-to-date with industry trends and best practices to continuously improve our technology stack and development processes
Integrate with other team members (backend/frontend/product/UX)

applying its data expertise to security, enabling companies to better understand and manage risk. We have both a rich data platform and security modules that tap into the platform to provide immediate benefits to our customers. We have built and patented a Data Fabric for Security. It curates data from hundreds of security and business tools and contextualizes that data to help companies understand and address their riskiest problems. Our Unified Vulnerability Management module is our first module to tap into the power of our data fabric, enabling companies to create custom contextualized risk scores and tailored workflows to reduce risk. If youre passionate about data models and helping companies improve their security posture, wed love to have your talents here at as we work to make the world a more secure place.
We are seeking a Backend Engineer to join our team. In this role, you will play a crucial role in designing, developing, and maintaining the backend systems that power our cutting-edge applications and services that help our customers manage huge amounts of their security data.
Responsibilities:
Develop and maintain high-quality, scalable backend services within a microservices architecture using Java /Spring Boot and Python
Deliver high quality features for our high-scale web environment
Monitor the performance and cost of the services in production
Stay up-to-date with industry trends and best practices to continuously improve our technology stack and development processes
Collaborate closely with frontend developers, product managers and UX/UI designers.

As a deep learning research engineer, you will conduct research projects to advance the scientific front of AI.

Your work will be done both solo and in collaboration with other deep-learning engineers and researchers. We are looking for someone versatile, displays leadership qualities, and is passionate about taking on new challenges.

As a deep learning research engineer , you will conduct empirical research of the highest quality, using and developing state-of-the-art techniques and algorithms.
Responsibilities
Design and implement DL algorithms to deliver advanced computer vision solutions.
Lead and carry out effective scientific research by formulating meaningful research questions, conducting experiments, organizing results, concluding and communicating results in presentations, blog posts, and scientific papers, and integrating outcomes into our product
Manage individual customer projects. Handle priorities, deadlines, and deliverables, and conduct frequent interactions with our customers highly-skilled deep learning engineers and scientists
Mentor and collaborate with deep learning engineers

we are looking for a DevOps Engineer
Responsibilities
Develop, deploy, maintain, scale, and monitor our hybrid (cloud and on-premise) Deep Learning training research and development environment.
Manage our multi-cloud Cloud-native production deployments (SaaS) running on Kubernetes clusters.
Build critical production components from scratch.
Evaluate new cloud-native technologies and vendor products to continuously improve our SaaS offerings.
Work closely with developers and researchers across the company to design and deliver new features, applications, and services. Develop tools and processes to enable them to automate everything.
Design and manage different monitoring and observability tools for troubleshooting and resolving production issues.
Solve problems in mission-critical services by creating solutions to prevent problem recurrence and automating remediation procedures.
Provide operational support for day-to-day activities involving deployments of services, configurations of service interaction, etc.

Were looking for a full-stack engineer who can solve complex system architecture challenges in the cloud, write production-grade code, and be familiar with the most advanced design methodologies.

The ideal candidate should be familiar with building solutions that use container orchestration tools (e.g., Docker, Kubernetes).

full-stack engineers work closely with deep learning engineers and scientists and become experts in the machine and deep learning production pipelines.
Responsibilities
Design, deploy, and maintain cloud-agnostic managed services that orchestrate various LLMs at large scale and truly performant-oriented environments
Integrate the latest state-of-the-art abilities into generative AI K8s clustersown large features end-to-end, from product refinement to design reviews and through to deployment
Lead and guide front and backend web development using agile methodologies. Deliver efficient and high-quality B2B solutions and see their deployment through
Profile and debug cloud performance and scaling bottleneck, meeting and improving latency and throughput SLAs