דרושים » הנדסה » Senior Software Engineer

Own, enhance, and improve core platform

Focus on system efficiency and resilient infrastructure

Integrate well-known SAAS platforms to big data repository e.g., the major cloud providers, DataDog, and Snowflake

Optimize Spark and airflow processes

Contribute to data design and platform architecture while working closely with other business units and engineering teams

Face the challenges of testing and monitoring your large-scale data pipelines

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.

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

Develop internal tools for various teams .
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.

As a Staff 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 Staff 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.

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.

You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.

If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

we are seeking a Software Engineer to join our Cloud Security Inventory team within the Falcon Cloud Security organization. This role focuses on building and maintaining scalable inventory systems that process and manage cloud resources across multiple cloud providers. You'll be part of a team handling high-scale data processing, serving both customer-facing and internal applications, while expanding our Cloud Security Posture Management (CSPM) capabilities.
What You'll Do:
Design and develop inventory systems processing muti millions of cloud resources daily across multiple cloud providers
Research and deep dive into cloud provider services to expand resource coverage and become a subject matter expert
Build and optimize high-throughput data collection pipelines that can handle rapid scale increases
Develop creative solutions for resource relationship mapping, efficient data storage, and real-time inventory updates at massive scale
Collaborate with cross-functional teams to understand their unique inventory needs and create scalable solutions
Participate in architectural discussions to solve complex technical challenges
Research and propose new approaches to handle growing data volumes and customer requirements
Help maintain system reliability while constantly scaling up operations
Technical Environment:
Go
Databases: PostgreSQL, Elasticsearch/Opensearch, Cassandra
Message Queuing: Kafka
Cloud Platforms: AWS, GCP, Azure, OCI
Containerization: Docker, Kubernetes
Monitoring: Grafana, Prometheus.

We're looking for an Experienced Software Engineer to build and scale our data systems. Youll be responsible for designing and implementing frameworks for robust backend systems and data pipelines that integrate with multiple clinical data sources.
What Youll Do:
Build a next-generation data platform using cutting-edge technologies.
Be part of a strategic, high-priority team driving a key company initiative.
Integrate with diverse external clinical data sources, ensuring seamless data flow.
Maintain high reliability, scalability, and data integrity across the platform.
Uphold strong engineering standards to ensure a robust and future-proof system
Use meta-level thinking to create generic, declarative frameworks

we are looking for a Backend Engineer.
Youll be part of the group responsible for main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer look like:
You will be working on core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.

Were on the lookup for a senior backend engineer to join our Detection group. Be a significant part of the development of infrastructure that efficiently handles, processes, and stores vast volumes of data. Architect and build scalable, high-performance backend system that enables real-time threat detection platform and find state-sponsored attacks.
: Responsibilities
Design and develop complex, large-scale backend systems that efficiently handle, process, and store high volumes of data.
Translate business and technical requirements into clear backend architecture and detailed implementation plans, with strong focus on design quality, maintainability, reliability, and performance.
Collaborate closely with cross-functional teams (Product, Data, DevOps, Security) to deliver robust backend and data-processing capabilities.
Build resilient, production-grade systems and drive modern engineering practices, leveraging cloud technologies.
Debug and resolve complex backend issues using strong analytical and problem-solving skills.
Lead processes, drive initiatives end-to-end, and contribute to a collaborative, positive team culture.