דרושים » תוכנה » Security Automation Engineer

We are seeking a highly skilled and motivated Backend Engineer to join our Application team.
As an Application Backend Engineer, you will be responsible for the development, maintenance, and enhancement of our SaaS and on-premise platforms. Your mastery of backend development will be the driving force behind our cutting-edge solutions. Collaborating with diverse teams, you'll play a pivotal role in shaping the success of our products and delivering unparalleled experiences. Together, we'll create robust and innovative solutions that push the boundaries of cybersecurity.
Roles And Responsibilities:
Design, develop, and maintain the backend components of our SaaS platform and on-premise application.
Collaborate closely with front-end developers, product managers, and quality assurance engineers to deliver new features and improvements.
Implement scalable and secure backend solutions for both the SaaS and on-premise platforms, following industry best practices and coding standards.
Participate in code reviews, provide constructive feedback, and ensure high-quality code through unit testing and documentation.
Collaborate with other teams to define and refine product requirements, contributing to the overall product roadmap.
Assist in troubleshooting customer issues and provide technical support when required.
Contribute to architectural discussions and technical decision-making, leveraging your expertise to drive the evolution of our products.
Embrace the power of production! Take the lead in every step of the process, from design to development, through code reviews, testing, and finally witnessing the fruition of your work in the live environment. Fearlessly own the end-to-end journey of your code and revel in the satisfaction of seeing it in action.
Our Tech Stack: Java (Spring), Python (Flask), MongoDB (Atlas), Neo4j, AWS, Docker, and so much more (which some might be up to you and your ideas)

we are the global leader in Identity Security. Centered on privileged access management, our company provides the most comprehensive security offering for any identity human or machine across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The worlds leading organizations trust our company to help secure their most critical assets.
Job Description
What will you do:
We are looking for a bright, talented Senior Devops Platform Developer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale.
As part of your role, you will design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market. Design and develop solution-oriented enterprise DevOps Platforms and tools
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

we are looking for a Staff software engineer to join our elite team which is responsible for building one of our companys new SaaS products.
In this role you will be using AWS serverless architecture, GO, AWS CDK & Python to design, develop, test, secure & deploy services from planning to production. You will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
The team works in full collaboration with security architects, product managers and other development teams.
We are looking forward for energetic and versatile person to join our family and help us achieving our goals.

The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for a passionate MLOps Engineer to join our team of seasoned ML engineers.
You will play a critical role in building a multi-tenant PaaS for ML pipelines and inference, ensuring scalability, reliability, and security. You will take ownership of critical platform components, drive best practices, and mentor other engineers.
Design, build, and maintain infrastructure-as-code using Python and AWS services for deployment.
Architect, build, and manage Docker-based services.
Lead the design and implementation of solutions using AWS services such as SageMaker, Lambda, Step Functions, SageMaker Pipelines, Batch Transform, and Real-Time Endpoints.
Enhance and maintain CI/CD pipelines (Jenkins and shared libraries).
Ensure multi-tenant security and tenant isolation across the platform.
Define and implement observability and monitoring practices with Datadog and other tools.
Collaborate closely with Data Scientists, Data engineers, MLEs, Product Managers, and other engineering teams to integrate ML workflows.
Mentor junior engineers and promote engineering best practices.

we are looking for a staff software engineer to join our elite team which is responsible for building a platform that serves all our companys SaaS products.
In addition to the platform, the team is also responsible for one of our companys strategic products that enables customers to access their sensitive assets securely.
In this role you will be using AWS serverless architecture, AWS CDK &Python to design, develop, test, secure & deploy services from planning to production.
The team works in full collaboration with security architects, product managers and other development teams. Together we produce complex and advanced platform that meet the highest security standards and NFRs.
We are looking forward for energetic and versatile person to join our family and help us achieving our goals.
Practice all software development life cycle in agile oriented environment
Design and implement the infrastructure of the system.
Research and implement sophisticated Cyber security mechanisms
Explore new technologies and tools to keep us using cutting edge solutions
Help guide and contribute to feature design and implementation to bring the product to the next level.
Participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability, and performance.

Were building foundational infrastructure to secure AI agents including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.
Youll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.
Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.
Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.
Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.
Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.
Write thorough tests and maintain high-quality, well-documented code.
Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.

As a Senior Software Engineer you will be using AWS serverless architecture, AWS CDK &Python to design, develop, test, secure & deploy services from planning to production.
Backend development with a strong emphasis on Python and AWS serverless architecture.
End-to-end ownership from requirements gathering and design to development, testing, security, and deployment.
Deep product knowledge understanding how our customers use our applications and optimizing for their needs.
Collaboration with UX experts to deliver an intuitive and seamless user experience.
Cross-functional teamwork working closely with security architects, product managers, and development teams to build high-performance, secure, and scalable services.

we are looking for a Senior DevOps Engineer with hands-on experience in cloud infrastructure, particularly in Microsoft Azure and AWS, to work closely with our clients and provide technical leadership in building, automating, and managing cloud-native solutions.

This role requires a mix of deep technical expertise, consulting maturity, leadership skills, and the ability to communicate complex concepts effectively to a variety of stakeholders.

Responsibilities:

Planning, design, build and optimizing Azure-based cloud infrastructure solutions
Developing and managing efficient CI/CD processes to enable continuous integration and delivery
Operating and maintaining Kubernetes clusters, ensuring their reliability, scalability, and performance
Collaborating with cross-functional teams to define and implement scalable, reliable, and secure Azure cloud architecture
Driving innovations in Azure cloud infrastructure space and staying up to date with the latest Azure technologies and industry trends
Developing automation scripts and frameworks to improve operational processes and procedures within the Azure ecosystem

As a Staff Engineer in the Data & AI Platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across our companys data and AI ecosystem.
You will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.
This role combines deep technical expertise with leadership: shaping the platforms architecture, mentoring senior engineers, and ensuring technical excellence and execution.
In this role you will
Lead end-to-end development of high-priority, cross-team features and initiatives in the Data & AI platform.
Design and implement scalable, resilient, and secure distributed systems in a modern cloud environment.
Drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and AI teams.
Mentor developers, support their growth, and elevate engineering practices across the group.
Promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives.
Evaluate new technologies and guide their adoption where appropriate.
Collaborate with engineers and managers across our company to align standards, share knowledge, and lead technical deep dives.

We are seeking a DevOps Engineer to design, deploy, and operate large-scale Kubernetes platforms across cloud (Azure AKS) and on-premises (Red Hat OpenShift) environments. This role focuses on building and maintaining secure, highly available, and scalable production systems supporting mission-critical workloads across multiple geographic regions. The ideal candidate is hands-on, automation-driven, and experienced in production Kubernetes operations, Infrastructure as Code, and CI/CD platforms, with a strong emphasis on reliability, security, and operational excellence.
Responsibilities:

* Design, deploy, and operate production Kubernetes clusters (Azure AKS and Red Hat OpenShift)
* Own the end-to-end platform lifecycle, including provisioning, upgrades, scaling, and hardening
* Implement and maintain Infrastructure as Code using Terraform
* Design and operate CI/CD and GitOps pipelines using Azure DevOps and related tooling
* Manage Kubernetes application deployments using Helm and Git-based workflows
* Ensure platform observability using Prometheus, Grafana, and ELK/EFK
* Troubleshoot complex production issues, perform root cause analysis, and implement preventive improvements
* Define and maintain runbooks, operational procedures, and SLA-driven workflows
* Collaborate with development, security, and operations teams across regions
* Design, deploy, and operate production-grade databases within Kubernetes, with hands-on experience in at least two of the following technologies:
* PostgreSQL, MongoDB, Elasticsearch, Redis, Prometheus
* Understanding of networking and Security