We are seeking an exceptional Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power Semperis's enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
Contribute to architectural decisions and establish best practices for backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

Were looking for a Senior Software Engineer to join the AZ Team in Tel Aviv - a group of passionate developers building the secure, scalable backbone of our Customer Experience (CX) Platform.

As a key member of the AZ Team, youll play a pivotal role in shaping the foundations of our CX Platform - driving features and architectural decisions from concept to production-grade solutions. Youll design and build secure, scalable systems for user management, authentication, authorization, and data access that serve thousands of developers across us.

You will:

Design, develop, and build platform-wide authentication and authorization services, creating a cohesive identity fabric that integrates seamlessly with multiple identity vendors and systems.

Lead the evolution of the data consumption layer, enabling governed, efficient, and context-aware access to data across the CX ecosystem.

Drive architectural decisions from concept to production, ensuring solutions are secure, scalable, and optimized for both developer experience and operational excellence.

Leverage AI and automation to enhance access control, anomaly detection, and developer productivity - turning complex platform insights into actionable intelligence.

Collaborate cross-functionally with product, data, and infrastructure teams to build interoperable solutions that power our next-generation developer platform.

Influence platform-wide engineering standards, promoting robust design, observability, and maintainability across services.

Champion developer experience, crafting APIs, SDKs, and tools that simplify integration and accelerate innovation.

Mentor and guide engineers, fostering a culture of technical depth, curiosity, and impact-driven innovation.

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.
In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.
Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

we are a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work
At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Location: Tel Aviv

The Role
Were looking for a hands-on Technical Lead / Architect to design, build, and guide the development of scalable, secure, and resilient systems. As a key member of our engineering team, youll own architectural decisions and lead the delivery of a large-scale SaaS platform that powers mission-critical experiences for our customers. Youll collaborate with seasoned engineers and product leaders to shape and implement our technology vision - spanning everything from REST APIs and distributed microservices to data pipelines and analytics infrastructure. Youll work with modern open-source tools, cloud-native frameworks, and DevOps practices to deliver solutions that scale efficiently and securely.

Your Day-to-Day

Lead the design and implementation of core backend systems and microservice architectures.

Drive technical decision-making, ensuring performance, scalability, and security-by-design.

Collaborate cross-functionally with product, DevOps, and data teams to align architecture with business goals.

Champion code quality, automation, observability, and engineering excellence.

Mentor engineers, conduct design and architecture reviews, and raise the teams technical bar.

Work closely with data scientists to integrate machine learning / AI models into the system.

Stay ahead of emerging technologies, frameworks, and cybersecurity best practices relevant to SaaS architecture.

We are looking for a Director of Engineering to lead our growing engineering team and help shape the future of AI security. As a key leader in our organization, you will drive the development and execution of our technical vision, ensuring that our platform continues to scale and innovate.
You will not only oversee ongoing engineering operations but also play a pivotal role in building and structuring the engineering organization from the ground up, fostering a high-performance culture, and implementing best practices. Additionally, you will take ownership of the core aspects of product, driving the technical strategy and innovation required to develop and enhance its foundational capabilities.
Responsibilities
Lead and manage the engineering team, including hiring, mentoring, and developing engineers to maximize their potential and foster a culture of continuous improvement.
Develop and implement engineering strategies aligned with business goals, focusing on scalability, reliability, and innovation.
Oversee the entire software development lifecycle, ensuring timely delivery of high-quality products while adhering to best practices in architecture and coding.
Collaborate closely with product, design, and other cross-functional teams to align engineering efforts with business and product priorities.
Establish and maintain engineering standards, processes, and tools to increase team efficiency and ensure code quality.
Drive technical initiatives and innovations, staying up to date with industry trends and integrating relevant new technologies into technology stack.
Monitor and manage project timelines, budgets, and resources to meet company objectives and deliverables.
Act as a technical advisor to the leadership team, providing insights and recommendations based on technological expertise.

Were looking for an experienced, hands-on Database Reliability Engineering (DBRE) Team Leader to head our core DBRE team. In this role, youll be responsible for the reliability, scalability, and performance of our large-scale database infrastructure and data platforms, while leading and mentoring a team of DBREs.
Youll bring together strong technical expertise and people leadership, defining the vision and standards for database reliability, guiding architectural and system design decisions, and driving operational excellence across our production environments.
In your day-to-day, you will:
Lead, mentor, and grow a team of DBREs, providing technical guidance and career development
Define and drive the teams roadmap for database reliability, availability, scalability, and cost efficiency
Own hundreds of production database clusters (MySQL, MongoDB, etc.) at petabyte scale on Cloud platform
Oversee the design and optimization of data models, schemas, and database access patterns used by core services
Establish and promote best practices, standards, and methodologies for database design, operations, observability, and incident management
Collaborate with other Infra, Security, FinOps, and R&D teams to shape our databases strategy and long-term technology direction
Encourage the use of AI and ML-driven tools and analytics for anomaly detection, capacity forecasting, performance optimization and team dev velocity
Promote automation in database provisioning, configuration, and operations.

Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

we are looking for a R&D Team Leader (Offshore).
What You'll Do:
Lead and manage a cross-functional R&D team of 5-7 engineers, including backend (Python), frontend (Angular), and QA engineers
Own end-to-end product development, from initial requirements and design, through development, testing, deployment, and production monitoring & troubleshooting
Provide hands-on technical leadership, including architecture design, coding when needed, and thorough code reviews
Work closely with Product Managers and Architects to define scope, prioritize backlog, and deliver high-quality features
Drive engineering best practices: clean code, testing, CI/CD, performance, reliability, and security
Be accountable for team delivery, quality, velocity, and stability
Define team goals, KPIs, and success metrics
Mentor and develop team members, supporting their professional and technical growth
Participate in hiring, onboarding, and training of new team members
Actively monitor production systems, lead incident response, root-cause analysis, and continuous improvement

We're looking for a hands-on builder to join our company's Backend Core Team as a Staff Backend Engineer- a role where you'll actively code and deploy the critical systems, APIs, and infrastructure that process vast weather datasets, execute complex algorithms, and handle extreme loads to power our resilience platform. This isn't for those who just direct from afar; we want someone who walks the walk, diving into implementation while embracing an AI-first mindset to make everything more efficient, higher quality, and faster through AI integration.
What Youll Do
Hands-on design and build scalable, fault-tolerant backend services and APIs for real-time, high-volume demands, leveraging AI to automate and optimize where possible.
Optimize data pipelines and algorithms for low-latency weather processing, using AI to enhance accuracy, speed, and self-improvement.
Lead architectural decisions with direct contributions, from microservices to event-driven systems, always questioning how AI can accelerate development.
Ensure end-to-end reliability with AI-powered monitoring and chaos engineering for mission-critical uptime.
Collaborate across teams to refine APIs, identifying AI opportunities to streamline workflows and boost product velocity.
Mentor through active participation-code reviews, pair sessions, and prototypes-to instill a builder's ethos and AI-first culture.
Iterate on AI-enhanced solutions, like intelligent data ingestion, to drive quality improvements and faster iterations.
Uphold best practices with a focus on AI for efficiency in security, performance, and compliance.

As we scale, we are looking for a Software Engineer to join the evolution of our Exposure Management core. You will be responsible for the high-throughput architecture that ingests and correlates data from hundreds of integrations and data sources. Your mission is to transform billions of raw data points into a unified asset inventory and an intelligent engine for security risk prioritization and remediation.
Our stack: Python, MongoDB, AWS, FastAPI, ECS, Celery
What you'll do​
Design and build an infrastructure to correlate multiple data sources and matching methods
Research and develop algorithms for asset discovery , and solve complicated identification issues
Develop extendable libraries and utilities which will speed-up our implementations and make sure were building scalable and high-quality solutions
Work closely with product and other R&D teams
Help with solving complex customer issues with our solutions and platform.