דרושים » תוכנה » Software Engineer - Data Platform

Were looking for driven and talented people like you to join our Sales team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Team Lead on the Data Platform, youll guide one of most strategic engineering groups - the team building and evolving the core data ingestion and processing infrastructure that powers our entire platform. Handling billions of cloud signals daily, the team ensures scalability, reliability, and efficiency across architecture.
Youll lead a group of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Together, youll drive key architectural decisions and evolve our ingestion and processing layers to support real-time pipelines, improve observability, and enable greater horizontal scalability.
Were looking for an experienced Team Leader eager to make a foundational impact on next-generation cloud security data platform.
Our Stack: Python, Go, SingleStore, Postgres, Redis, Kafka, AWS.

We invite you to #UnleashyourCuriosity and join our ever-growing R&D organization.
What Youll Do:
Our engineering squads are responsible for critical domains and products that power our platform and support our users' ongoing relationship with us. The teams develop scalable web platforms, backend services, and applications, and are comprised of skilled engineers across the stack (backend, frontend, and data).
As a Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.
Responsibilities:
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that serve our customers and partners.
Technical Architecture - Lead the technical architecture and system design for core products and services within your domain.
Team Leadership - Guide a multidisciplinary squad of frontend, backend, and data engineers through implementation, delivery, and iteration.
Stakeholder Collaboration - Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions.
Strategic Alignment - Ensure development aligns with business objectives, long-term system health, and Sunbits engineering standards.
Quality - Conduct and lead design reviews, code reviews, and performance optimization efforts.
Culture Building - Drive a culture of technical excellence, ownership, and continuous improvement.
Operational Excellence - Oversee system reliability, monitoring, and incident response within your domain.

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

we are on a mission to bring identity security everywhere - to every human, machine, and AI agent, both on-prem and in the cloud.
Our unique technology secures identities & access at runtime, in ways that werent possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, we are uniquely positioned to lead the fast-growing identity security category.
Joining our company means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.
We are looking for a Full Stack Software Engineer to join us. As a Full Stack Software Engineer at our company, you will work across the stack, from backend services that process and analyze large-scale security data to a modern frontend that transforms complex information into intuitive, actionable workflows. You will design and maintain high-performance systems that process millions of authentication events daily, ensuring reliability, scalability, and real-time insights. 
Responsibilities
Design and deliver end-to-end features across high-performance systems
Architect and build scalable services for processing, analyzing, and exposing large-scale security data
Develop advanced security engines with a focus on performance, scalability, and reliability
Own features end-to-end, from design through production and continuous improvement
Collaborate closely with product, support, and cross-functional teams to deliver high-impact solutions.

Realize your potential by joining the leading performance-driven advertising company!
As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Senior MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

Were growing and looking to hire a Data Platform Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Data Platform Engineer, Your Impact Will Be:
Platform Modernization: Shape and develop the core technology of our Data Platform, moving from design to implementation to support AI research and business intelligence.
Scalable Pipeline Engineering: Design and build complex, distributed data pipelines that ingest, manipulate, and move data from a wide variety of sources at massive scale.
Software Excellence: Build and maintain high-performance microservices and APIs that interface with our data ecosystem, ensuring low-latency and high reliability.
Cross-Functional Collaboration: Partner closely with Software Engineering, AI Research, and Product Management to transform abstract data needs into real-world customer value.
Data Reliability: Implement best practices for data management, quality assurance, and security within our ecosystem.
ML & AI Enablement: Integrate and manage robust data flows that directly power our ML and LLM pipelines in production environments.

Were looking for a bright and passionate Senior Software Engineer to join our Access Clients team. In this critical role, you will design, develop and maintain core components of our Access Clients which are used by hundreds of thousands of users worldwide, on various households and enterprise environments. You will help taking the Windows Client to the next level of functionality and stability, developing core Service functionality as well as user-facing components.
Responsibilities:
Developing core components for C++ Windows Service and applications.
Working on the cross-platform C SDK library which runs on all major operating systems.
Researching new technologies.
Taking ownership on new features and leading collaborative efforts.
Support the entire application lifecycle, including release management and supporting production.
Collaborate with quality assurance, technical support, product-management and other engineering teams to deliver integrated features.

Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Software Engineer on the Security Intelligence & Engagement team, youll be part of a domain responsible for closing the loop between security insight and action across the platform.
Our team builds the systems that transform large-scale cloud security data into meaningful risk insights, such as risk scores, trends, and contextual signals, and the experiences that drive customer response, including alerts, notifications, and guided remediation missions.
Youll work on scalable backend services and distributed systems that power how security insights are generated, aggregated, and delivered to users. The team operates across multiple product domains to ensure that insights lead directly to action, enabling customers to prioritize and resolve risks effectively.
This role is a great opportunity to work on high scale cloud security systems, collaborate across teams, and contribute to building reliable services that sit at the center of platform.
On a typical day youll:
Design and implement backend services that generate and deliver security insights and engagement workflows
Write clean, maintainable, and well-tested code that meets production quality standards
Build scalable systems that process and aggregate large volumes of cloud security signals
Collaborate with product managers, engineers, and designers to translate insights into actionable user experiences
Troubleshoot and resolve complex system issues while improving system reliability and observability
Contribute to architectural discussions and help evolve services to support growing scale and new capabilities
Implement new features following Agile development practices and established engineering standards
Continuously improve system performance, scalability, and maintainability

As a developer here you will be a part of the outstanding analytics group which builds a Real-Time Analytics Platform for customers. We are looking for people who look at the world differently, people who are passionate about making sense out of huge amounts of data, who explore, analyze and lead the solutions they envision. If you are passionate about developing an innovative product, making an impact, and strive to work with the industrys best talent as part of one of the fastest-growing and successful startups around - where you want to be!
What will you actually be doing?
End to end development of features and systems that are used daily by key stakeholders, both internally and externally
A technical focal point for software development best practices and design of main components, services and systems.
Be part of an organic team developing in a fast paced environment based on CI/CD.
Investigate, implement and share new technologies and ideas.

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
or backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments