דרושים » הנדסה » Senior Software Engineer, Decision Engineering

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

We are looking for a talented Senior Backend Developer to join our Infrastructure Team, supporting the server-side foundation of our mobile security product. Our team builds and maintains the core microservices and backend infrastructure that power protection, monitoring, and real-time decision-making for millions of mobile devices worldwide.

You will work in a hybrid environment, collaborating closely with highly skilled engineers within an agile, sprint-based process. This role is central to ensuring the performance, reliability, and scalability of our backend ecosystem, enabling seamless integration with mobile clients and supporting global, multi-region deployments.

Key Responsibilities
Design, develop, and maintain high-quality backend microservices and internal infrastructure components for our large-scale platform.
Own features end-to-end in an agile CI/CD environment-architecture, implementation, testing, deployment, and ongoing improvement.
Ensure the scalability, reliability, and resilience of infrastructure services supporting a rapidly growing global user base.
Work extensively with distributed systems, including technologies such as PostgreSQL, Redis, RabbitMQ, and Elasticsearch, optimizing performance and resource usage.
Implement and uphold observability best practices (metrics, logs, tracing) using tools like Prometheus and Grafana to maintain system health and diagnose issues quickly.
Collaborate closely with product managers, client-side developers, and DevOps teams to deliver robust, secure, and efficient infrastructure capabilities.
Drive continuous improvement by evaluating and adopting new tools, frameworks, and architectural patterns that contribute to operational excellence.
Mentor and guide other engineers, contributing to a culture of technical leadership, ownership, and knowledge sharing.

Were looking for a talented and experienced Senior Software Engineer to join the CMA Platform Team - the team building the core platform and shared services that power how our company developers build and ship products.
In this role, youll design and develop scalable platform capabilities and internal solutions that will be used by engineering teams across our company. From authentication and RBAC to cross-cutting services and developer-facing APIs, your work will be at the heart of our companys management and control plane, enabling other teams to move faster, safer, and with greater consistency.
Youll work on backend services, integration patterns, and platform abstractions that provide a solid, secure, and observable foundation for dozens of products and features.
Responsibilities:
Design, build, and maintain core CMA platform services used by multiple product teams (e.g., authentication, RBAC, account lifecycle, shared configuration, and more).
Develop scalable, resilient microservices that operate in near real-time and support high-throughput, global production environments.
Provide clear, well-documented APIs and SDKs that improve developer experience and make platform capabilities easy to adopt.
Collaborate closely with other engineering teams to understand their needs and translate them into reusable platform features and best practices.
Own services end-to-end: design, implementation, testing, deployment, monitoring, and continuous improvement.
Drive technical excellence in the platforms architecture, including reliability, security, observability, and performance.
Evaluate and integrate third-party technologies where it makes sense to accelerate the platform roadmap.

Were hiring a ML Engineer to accelerate AI-driven innovation across Stamplis B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across Stamplis product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

we are looking for a Senior Software Engineer - Platform Team.
As a Senior Software Engineer you will help deliver a smooth and consistent developer experience to our product/AI teams.
This enables them to iterate quickly and deliver products faster to the market. The team aims to streamline development processes, reduce friction and provide developers with the right tools and infrastructure to build high-quality software efficiently which effectively aligns technical execution with our business objectives.
Our techstack includes AWS, Python, RDS, EKS, ECS, RMQ and Redis.
You will:
Have a direct impact on devs' daily smile :) , by focusing on their Devex and velocity through implementing and providing easy and intuitive self serve tools
Lead the design and implementation of infrastructure of complex, time-critical microservices systems, collaborating with AI, data, and product teams to ensure high-quality code using latest technologies while maintaining high developer velocity.
Drive improvements to backend infrastructure, focusing on scalability, reliability, and performance to enhance the daily experience and productivity of developers, including implementing intuitive self-serve tools.
Contribute to defining and realizing the technology vision of the company, evaluating and integrating new technologies to enhance platform capabilities including Gen AI, and troubleshooting complex issues to ensure platform performance and availability. Proactively establish and maintain CI/CD practices and processes including hybrid envs.
Enhance system scalability, performance, and reliability.

We are looking for an experienced Senior Backend Engineer to join our Browse Management Core team.

As part of our core team, youll design and implement high-impact backend services, collaborate with frontend, DevOps, and product teams, and play a key role in shaping the next generation of Browse Management architecture.

Youll help build and evolve the backend infrastructure that powers our cloud-native security platform, delivering advanced protection, observability, and scalability at global scale.

If youre passionate about solving complex backend challenges, scaling distributed systems, and driving innovation in cybersecurity, this is the place for you.

Key Responsibilities
Design, develop, and maintain cloud-native backend services supporting a large-scale SaaS security platform.
Build scalable, secure, and resilient architectures using modern AWS services (EKS, ECS, EC2, RDS, SQS, CloudFront, IAM).
Develop and optimize RESTful and event-driven APIs, backend integrations, and data flows.
Work in a microservices-based environment, ensuring high availability, observability, and performance.
Collaborate closely with frontend, DevOps, and product teams to deliver end-to-end solutions.
Implement monitoring, alerting, and reliability best practices for production environments.
Write clean, maintainable, and testable code, contributing to best practices and design standards.
Participate in architecture and design reviews, influencing the technical direction of the platform.

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform. Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems. Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.

This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.

Key Responsibilities:
Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

The Agentless Scanning team at our company is expanding our security platforms capabilities by delivering comprehensive cloud protection that complements our industry-leading agent technology. Weve evolved from pioneering Data Security Posture Management (DSPM) to building a unified agentless platform that combines data security with vulnerability scanning, providing complete visibility across multi-cloud environments.Our technology scans cloud workloads, identifies vulnerabilities, and secures sensitive data across AWS, Azure, and GCP - extending our companys protection to cover every aspect of your cloud infrastructure. Were solving some of the most challenging problems in cloud security: how to provide deep visibility and protection at scale across diverse cloud services and configurations.Were a team of builders and innovators who thrive on complex technical challenges. If youre energized by distributed systems, cloud-native architectures, and the opportunity to protect thousands of organizations worldwide, we want to hear from you.Join us in expanding our companys security platform, where innovation meets impact.
What Youll Do:
Architect and build scalable backend services that scan millions of cloud resources daily across multi-cloud environments
Design and implement distributed systems that process massive volumes of security data with high reliability and low latency
Develop agentless scanning capabilities for vulnerability detection, configuration assessment, and data security across cloud workloads
Collaborate cross-functionally with security researchers, product managers, and fellow engineers to deliver features that customers love
Own features end-to-end - from design and implementation through deployment, monitoring, and iteration
Drive technical excellence through code reviews, architectural discussions, and mentoring team members
Solve complex challenges in cloud security, data processing, and distributed systems at enterprise scale.

Your Career The SASE Platform team builds and operates highly available, secure, and globally distributed services that protect users, applications, and data for some of the worlds largest enterprises. Our mission is to deliver cloud-native security and networking capabilities that seamlessly converge networking and security at scale. As enterprises accelerate adoption of cloud, remote work, and AI-driven workloads, the need for resilient, observable, and secure SASE platforms has never been greater. As an SRE, you will play a critical role in ensuring our platform is reliable, scalable, performant, and secure from day one. Your Impact As a Site Reliability Engineer, you will be an integral part of the product and platform lifecycle, partnering closely with software engineers, security experts, and infrastructure teams. You will: Collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance Build and operate automation for provisioning, deploying, and managing infrastructure at global scale using Infrastructure as Code Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments Drive observability best practices, including metrics, logs, traces, SLIs/SLOs, and data-driven incident analysis Participate in on-call rotations, continuously reducing MTTR through automation, runbooks, and proactive reliability improvements Mentor and guide engineers on large-scale cloud and SASE deployments, fostering a strong SRE culture Participate in architecture and design reviews, bringing a reliability and operational excellence mindset Champion reliability, security, and operational maturity across the organization.

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.