דרושים » הנדסה » Software Engineer

As we grow rapidly, your role as a Software Engineer will be critical to the companys success. You will build a robust infrastructure integrated with the platform to acquire network insights. You and the team will design, develop, and maintain out-of-the-box modules, algorithms, and extensions while working with highly talented engineers.

What you'll do:
Develop and maintain integrations with various network devices and Network Management Platforms.
Develop and maintain infrastructures that support integrations products, process them, store them, and expose them to the rest of the system.
Integrate with the platform and be a key player in its design and development
Develop extendable libraries and utilities that 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 and scale issues with our solutions and platform.

We're seeking a Mid to Senior Data Engineer to join our Cloud Identity & Perimeter, a critical component of security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.

What You'll Do:

Design and implement high-performance, distributed data processing pipelines handling petabytes of security data

Architect complex data transformations using Apache Spark for large-scale batch and stream processing

Be part of shaping new products while collaborating with product teams, customers, and sales.

Build and optimize real-time data streaming solutions using Kafka for identity analytics

Develop and maintain scalable ETL processes that handle billions of daily events

Create efficient data models for complex security analytics queries

Collaborate with cross-functional teams to deliver high-impact security features

Optimize query performance and data storage patterns for large-scale distributed systems

Participate in system design discussions and architectural decisions

Were looking for a Software Engineer - Data Operations Platform to join our Data Operations team and help build the internal systems and platforms that power our data workflows at scale.

This is a unique opportunity for an early-career engineer who enjoys solving practical problems, building impactful tools, and working closely with data, AI, and operations teams. In this role, youll design and develop scalable internal platforms, automation systems, and AI-driven workflows that support large-scale data operations, including tooling for computer vision workflows, automated QA systems, taxonomy management, and database navigation tools used daily across the company.

As part of a fast-moving startup and an industry leader in AI-driven creative analytics, your work will have a direct impact on engineering efficiency, workflow automation, system scalability, and data quality.



Key Responsibilities

Design, develop, and maintain internal tools and systems that support Data Operations workflows.
Build scalable automation systems for QA processes, taxonomy applications, and large-scale data handling.
Collaborate closely with Data, AI, Product, and Operations teams to solve practical business and operational challenges.
Write clean, maintainable, and reliable code with a strong focus on usability, scalability, and efficiency.
Improve internal workflows by identifying bottlenecks and building scalable solutions.
Work with databases and data pipelines to support operational and analytical needs.
Troubleshoot issues, optimize existing tools, and continuously improve system reliability and performance.
Contribute ideas, experiment with new technologies, and help improve developer workflows and internal processes.

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for building complex backend designs that are both scalable and fault-tolerant, developing our data ingestion pipeline and introducing new analysis engines.
What You'll Be Doing:
Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We're seeking a Mid to Senior Data Engineer to join our Cloud Identity & Perimeter, a critical component of security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.

What You'll Do
Design and implement high-performance, distributed data processing pipelines handling petabytes of security data

Architect complex data transformations using Apache Spark for large-scale batch and stream processing

Be part of shaping new products while collaborating with product teams, customers, and sales.

Build and optimize real-time data streaming solutions using Kafka for identity analytics

Develop and maintain scalable ETL processes that handle billions of daily events

Create efficient data models for complex security analytics queries

Collaborate with cross-functional teams to deliver high-impact security features

Optimize query performance and data storage patterns for large-scale distributed systems

Participate in system design discussions and architectural decisions

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long- term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

we are looking for a Engineering Team Lead.
In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!
What youll do: As the Team Leader , you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. Youll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!
Responsibilities:
Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

We are looking for a talented Architect to join us. As a Data Architect, you will be the organizational point of contact for all things related to data persistence and architecture. You will work closely with engineering teams across the Product, Platform, and Data groups to design, govern, and evolve our data models, databases, and data-related systems. Your goal will be to ensure scalability, reliability, security, and efficiency for all data storage and retrieval across the organization.
A few of the things you will do:
Be the primary point of contact and subject matter expert for data persistence across the entire engineering organization.
Define and govern the data architecture strategy, standards, and best practices for relational, NoSQL, and data warehouse systems.
Partner with engineering teams from product, platform, and data groups to design and implement scalable and robust data models for new and existing services.
Lead the design and optimization of the organizations data flows. You will help to ensure that data moves efficiently, consistently, and with high quality across all systems and domains.
Evaluate and recommend new technologies and data solutions to meet evolving business needs.
Drive initiatives to improve data quality, consistency, and integrity across all production systems, from ideation to hands-on execution.
Establish, maintain, and communicate documentation for all data models and architectural decisions.