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We are looking for a Senior DevOps Engineer with deep expertise in cloud-native platforms to join our global DevOps group and help shape the future of our next-generation SaaS platform
Responsibilities
Collaborate across global R&D teams to manage and evolve a complex, Azure-based production environment powering a cutting-edge data security SaaS platform. 
Build and maintain scalable, resilient, and highly available cloud infrastructure using DevOps practices. 
Design and implement CI/CD pipelines, GitOps workflows, and infrastructure automation using tools like Terraform, Pulumi, Argo CD, and Azure DevOps. 
Work closely with R&D teams to design, implement, and support new product features across the platform. 
Evaluate and adopt emerging cloud-native technologies, open-source tools, and observability platforms to enhance system performance and developer productivity. 
Respond to incidents and internal requests, performing triage, root cause analysis, and implementing solutions to reduce recurrence and resolution time. 
Participate in a 24/7 On-Call rotation to proactively monitor and resolve production issues, ensuring platform stability. 

We are seeking a Talented Senior Software Engineer to join our EE team. You will join a dynamic team focused on handling of complex customer issues that require deep product knowledge, advanced troubleshooting, and close collaboration with development.
Responsibilities
Resolve complex escalations, that require deep technical expertise
ensuring high performance, scalability, and reliability.
Execute Deep Technical Investigation & Root Cause Analysis -
Reviewing logs, metrics, alerts, dashboards
Analyzing service interactions and Identifying patterns and anomalies
Producing RCA summaries and next steps
Drive Automation and AI‑Based Troubleshooting
Maintain High Expertise in Product Areas and Cross‑Discipline Technologies
Improve Product Supportability and Provide Feedback to DEV/PM.

The FinOps Technical Manager leads cloud cost operations, driving cost optimization and governance across multi-cloud environments. This role combines technical expertise with strategic leadership to align cloud spend with business objectives while fostering a culture of cost accountability.
Key Responsibilities:
Strategic Leadership
Champion cost-awareness across teams and influence architectural decisions for efficiency.
Lead cross-functional initiatives to improve cloud economics and operational excellence.
Team Management
Provide hands‑on technical guidance on cloud architecture, cost‑efficient design patterns, and optimization best practices. Foster strong collaboration between finance, DevOps, and engineering teams to ensure shared ownership of cloud costs
Cloud Cost Management
Monitor and analyze cloud spend across AWS, Azure, and Kubernetes clusters.
Identify optimization opportunities by diving into current system architecture/ flows and implementation and resent actionable recommendations to leadership.
Be able to challenge current and future technological and architecture decisions in favor on cost optimization.
Ability to detect bad designs and implementations that cause high spend.
Automation & Tooling
Oversee automation of cost reporting and anomaly detection.
Evaluate and implement tools and integrations for real-time visibility.

We are seeking a highly skilled Senior Backend Engineer to join our expanding DatAdvantage Cloud team.
Suppose you have strong programming expertise, experience building large-scale cloud systems, a passion for developing applications using AI-driven tools, and enthusiasm to transform platform into a scalable, resilient powerhouse serving multiple applications and customers worldwide. In that case, wed love to meet you.
Responsibilities
Lead and participate in the full application lifecycle - from product requirements through architecture, coding, and monitoring.
Develop clean, maintainable code for large-scale, functional applications.
Troubleshoot and debug complex applications.
Leverage cutting-edge technologies, including AI tools, to modernize and enhance applications.
Constantly thrive to improve existing platform and applications
Design and build scalable, resistant and fault-tolerant cloud services.

We are seeking a highly skilled and self-motivated AI Backend Engineer to join our growing R&D team. In this role, you will play a key part in the design, development, and deployment of our next-generation backend services, AI-driven workflows, and GenAI applications.

We are looking for a seasoned engineer who is passionate about building robust, scalable systems and has a proven track record of integrating cutting-edge LLM technologies into production. You will work closely with architects and product teams to turn complex AI concepts into reliable, high-performance backend solutions.


Key Responsibilities
Feature Development: Design and build high-performance, resilient, and scalable backend services using Python.
AI Implementation: Integrate LLMs using AWS Bedrock and other GenAI frameworks to create innovative, AI-powered solutions.
Workflow Orchestration: Design and implement complex, end-to-end event-driven architectures utilizing AWS Step Functions.
System Architecture: Contribute to the design of distributed systems, ensuring they meet high standards for performance and scalability.
Code Quality: Write clean, maintainable, and well-tested code, participating in code reviews to ensure best practices across the stack.
Collaboration: Partner with Product, Data Science, and DevOps teams to translate business requirements into technical implementations.
Problem Solving: Maintain a hands-on approach to troubleshooting, optimizing, and technical problem-solving within the GenAI ecosystem.

Were looking for an experienced and thoughtful Senior Frontend Engineer to join our team and lead the development of modern, high-quality user experiences using cutting-edge technologies - including AI-powered development tools.
Who We Are:
We believe great engineering happens when skilled people work together with trust, ownership, and a continuous drive to improve. We value clear thinking, strong opinions held lightly, and using AI as a force multiplier - not a crutch.
A Mature, Supportive Engineering Culture
Youll join a team that values psychological safety, honest feedback, and shared ownership. We invest in code quality, thoughtful design, and long-term maintainability, while still moving fast when it matters.
Modern Development with AI
We actively use AI tools to accelerate development, validate approaches, explore alternatives, and improve quality. As a senior engineer, youre expected to critically evaluate AI-generated output, understand tradeoffs, and guide others in using these tools responsibly.
A Strong Product Mindset
Our engineers partner closely with product and design, influencing solutions from early discovery through delivery. We expect you to challenge assumptions, clarify 'why,' and help ensure were solving the right problems - not just implementing requirements.
A Place to Lead and Grow
This role offers technical ownership, architectural influence, and mentorship opportunities. Whether deepening your expertise or expanding into broader system design and leadership, we support your growth.
What You'll Do:
Design, build, and maintain scalable, high-quality frontend features (primarily Angular).
Contribute to architecture and technical decision-making across frontend and full-stack concerns.
Use AI development tools while reviewing, challenging, and refining AI-generated solutions.
Lead and participate in code reviews, raising the bar for code quality.
Collaborate with Product Managers and Designers to influence product direction.
Mentor junior engineers and contribute to a strong engineering culture.
Take ownership of technical risks and long-term improvements.

At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Own and operate the company authentication platform and internal IdP (token issuance, rotation, validation).
Build and maintain the NuGet packages for token validation and service-to-service communication used across all services.
Manage API gateway policies (routing, auth, rate limits, mTLS, observability).
Define and enforce RBAC across services (roles, permissions, policy evaluation, audits).
Continuously improve reliability, performance, and developer experience through automation, documentation, and support.

At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.

We are looking for a self-driven and experienced software engineer to join our R&D department. In this position, you will be part of a newly formed team responsible for designing and implementing a brand-new flow that classifies and processes sensitive data in files.
This is an opportunity to build a system from the ground up, working with cutting-edge technologies and handling large-scale data challenges. If you thrive in a fast-paced environment, are passionate about delivering high-quality solutions, and excel at taking initiative, wed love to hear from you.
Responsibilities
Design, implement, and test complex backend systems to ensure they meet the required specifications and performance standards.
Review and provide constructive feedback on your teammates' code to maintain high-quality code standards and promote best practices.

We are seeking a skilled and motivated Software Engineer (Automation Infrastructure) to join our team. This role is primarily focused on designing, developing, and maintaining robust automation frameworks and ensuring seamless integration with external systems and partner teams. The ideal candidate will have a strong background in infrastructure automation, excellent problem-solving skills, and a collaborative mindset.
Responsibilities
Design, build, and maintain efficient and reliable automation frameworks.
Implement, test, and bug-fix automation scripts and tools.
Write clean, scalable, and testable code for infrastructure automation.
Participate as a team member in fully agile Scrum deliveries.
Coordinate with other software professionals and developers.
Provide support to end users for automation tools and frameworks.
Collaborate with external teams and third-party vendors to implement integration solutions.
Remain up to date with the terminology, concepts, and best practices in infrastructure automation.

we are seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform - with a growing focus on securing modern SaaS and AI-powered application ecosystems.
we protect organizations from threats created by SaaS and AI sprawl by unifying SaaS discovery, security posture, AI governance, and identity threat detection into a single platform. Youll work on cutting-edge cloud-native systems, helping to deliver solutions that uncover shadow AI apps, detect misconfigurations, and provide robust APIs and interfaces to empower security teams. ‍
Responsibilities:
Hands-on end-to-end development of core features across the stack (backend, frontend, cloud services).
Work in a cloud-native environment (Azure) and microservices architecture, writing high-quality, maintainable code
Build robust APIs and UI components from design to full implementation
Improve developer experience (DX), test automation, system architecture, and infrastructure
Participate in peer code reviews, sprint planning, and technical discussions
Own technical challenges around scalability, performance, and secure data flows as the product and user base grow
Engage with emerging areas like AI usage patterns, anomaly detection, API protection, and identity security

we are looking for a Full Stack Engineer
Responsibilities:
Hands-on end-to-end development, including DevOps tasks and automated testing
Work in a cloud-native environment (Azure), microservices architecture, cutting-edge technologies, and a quality-first mindset
Deliver UI components and full screens - taking wireframes from design to full implementation
Design and improve our developer experience (DX), system architecture, and product infrastructure
Collaborate closely with the core team, participate in code reviews, interviews, and task prioritization
Take ownership and responsibility - your impact will grow as the company scales
Tackle scalability and performance challenges as we grow and our user base expands

We are looking for an experienced Product Manager to join our Product team and lead major parts of SaaS Security platform, with a growing focus on securing AI capabilities embedded in SaaS applications.In this role, you will design, define, and deliver core product features, working closely with engineering, sales, and marketing.
You will help shape how organizations secure modern SaaS environments - including AI-powered features such as copilots, agents, and generative AI integrations - and translate emerging market needs into impactful product capabilities.If you thrive in fast-paced environments, enjoy owning complex products, and want to be at the forefront of SaaS Security in the AI era, wed love to talk.
Responsibilities:
Define and prioritize product features and capabilities, including security and governance for AI features within SaaS applications
Lead discovery for new product initiatives, focusing on risks and attack surfaces introduced by AI adoption in SaaS environments
Create clear product requirement documents (PRDs / FRDs) and manage the product backlog
Work closely with engineering teams to ensure delivery aligns with the product roadmap and customer needs
Conduct market research and customer conversations to understand how AI is being used in SaaS and the resulting security challenges
Collaborate with sales and marketing on product launches, messaging, and enablement.
Monitor competitors and market trends across SaaS Security, AI Security, and identity-related domains
Balance quarterly planning with the flexibility to rapidly adjust priorities in a fast-changing market