דרושים » תוכנה » Senior Software Engineer (Core Group )

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
About the Team
We are seeking a highly skilled Senior Data Engineer to join our company's ML Data Group and help drive the development and optimization of our cutting-edge data infrastructure. As a key member of the company's ML Platform team, you will play an instrumental role in building and evolving our feature store data pipeline, enabling machine learning teams to efficiently access and work with high-quality, real-time data at scale.
In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.
We are looking for data-driven problem-solvers who thrive in ambiguous, fast-moving environments and are passionate about building data systems that empower teams to innovate and scale. We value independent thinkers with a strong sense of ownership, who can take challenges from concept to production while continuously improving our data infrastructure.
As a Data Engineer at our company's ML you will...
Design and implement large-scale batch & streaming data pipelines infrastructure
Build and optimize data workflows for maximum reliability and performance
Develop solutions for real-time data processing and analytics
Implement data consistency checks and quality assurance processes
Design and maintain state management systems for distributed data processing
Take a crucial role in building the group's engineering culture, tools, and methodologies
Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

we're looking for a visionary Security Architect to play a pivotal role in designing and implementing robust security solutions across our infrastructure and applications.
If you have a passion for building secure-by-design systems, a deep understanding of both infrastructure and application security principles, and the ability to translate complex requirements into actionable blueprints, we want to hear from you. You'll be instrumental in shaping security landscape, ensuring our platform remains a trusted and secure environment for our global users.
What You'll Be Doing:
This is a hands-on position. You need to love writing Python, working with APIs, and codifying infrastructure. Lead the architectural design and implementation of security solutions for cloud infrastructure, network, and applications.
Get your "hands dirty", fearlessly working on our most complex and risky problems involving production systems and networks.
Constantly push optimizations and best practices. Define and maintain security standards, frameworks, and best practices across the organization.
Collaborate closely with engineering, product, and operations teams to integrate security seamlessly into the development lifecycle and infrastructure deployments.
Evaluate and recommend security technologies and tools to enhance security posture.
Develop security reference architectures and patterns to guide engineering teams in building secure solutions.
Participate in threat modeling and risk assessment activities to proactively identify and mitigate potential security threats.
Provide expert guidance and mentorship to engineering teams on security-related topics.
Stay current with the latest security trends, threats, and technologies, and translate them into actionable strategies .

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
Are you a platform engineer who thrives on designing and building scalable, high-quality services and infrastructure?Do you want to work on cutting-edge services while shaping the backbone of an ML platform? If so, wed love to have you join our company's ML our MLOps group.
As a Senior Platform Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc.You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.
As a Platform Engineer at our company's ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.

We are looking for a Senior Software Engineer to join the Datapath team as part of the Core Platforms group.
As a member of the core platform group, you will design and implement new features while maintaining maximum performance, investigate complex real-world issues, and develop the datapath components that support over 200 million ops/sec at sub-millisecond latency with true linear scalability.
Our ideal candidate is an experienced C++ developer who has worked with multithreaded code in a Linux environment and can approach complex problems creatively and with an open mind. You are a quick learner, eager to learn and improve, love to work and collaborate with talented team members and coworkers.
If youre all that, fun to work with, and want to make an impact while contributing to a wildly successful company, then this is the right challenge for you.
What will you do:
Contribute to the development of proxy features, while debugging, maintaining, and improving the Datapath infrastructure to support thousands of databases and millions of requests per second.
Design and implement high-performance networking components focused on low-latency, high-throughput communication.
Optimize multi-threaded architectures and improve CPU/memory performance.
Collaborate closely with our architects, product managers, and other R&D teams to define, plan, and design features and projects.
Work with CI/CD methodologies and automation tools to enhance deployment efficiency.

Required Staff MLOps Engineer
Apply
Realize your potential by joining the leading performance-driven advertising company!
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.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
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
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data 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
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

We have multiple positions open for Backend Senior Software Engineers and Software Engineers to be hired across different our Security teams in Israel.
Israel is the biggest company center of excellence in the security domain and plays a pivotal role in safeguarding our global digital ecosystem. As the largest company center of excellence in the security domain, our teams in Israel are at the forefront of innovation and defense against emerging cyber threats. With over 60% of our site dedicated to security, we are committed to developing cutting-edge solutions that protect millions of users worldwide. Our contributions have a profound impact on the global security organization, driving advancements and setting new standards in cybersecurity.   
Click here to learn more about security groups located in Israel What We Do | Israel R&D.  
Our teams are dedicated to building cutting-edge Cyber Defense solutions, leveraging state-of-the-art cloud technologies, big data, AI, and modern UX platforms to deliver unparalleled value to our customers.   
As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats. We value diversity and believe that different experiences and perspectives make our team stronger.  
If you're passionate about cyber defense and eager to make a significant impact on global security, love working with data, and want to make the world a safer place, come join us! 
Responsibilities
As a Software Engineer you will:
contribute to business-critical initiatives in our company's Security
Requiring deep technical skills and the ability to quickly adapt to new areas.
Will improve the end-to-end lifecycle of services
Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.
Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.
You will also collaborate with multiple teams across our company to deliver key customer solutions and support technology.
Join us to unlock your highest potential in a collaborative and agile culture! 

We are building our next-generation, cloud-based data pipeline and are looking for a strong backend software engineer. This engineer should be excited about building systems from scratch, love to take an active role, and be able to quickly dive into complex, large-scale environments and lead them.

By joining this team, you will, among other products, help develop the following products:

Network Discovery: A product that delivers full visibility into every device on a corporate network. Customers can manage any asset, including those not yet protected or supported by us, thanks to machine learning that automatically identifies all IoT devices.
Vulnerability Management: A platform module that enables customers to analyze and prioritize the vulnerabilities detected by our cybersecurity solutions on their endpoints.

What will you Do?
Own features end-to-end - Join a cross-disciplinary squad of backend and frontend engineers working alongside Windows, Linux, and macOS endpoint specialists - taking ideas from whiteboard to production.
Build customer-facing security insights - Design, implement, test, and deploy backend services that turn raw cybersecurity events into clear, actionable information.
Shape our platforms architecture - Lead the design of new modules across several strategic product lines, choosing patterns and technologies for scale, reliability, and performance.
See your impact - Your work directly improves how customers understand risk and respond, making it a visible part of key company initiatives.

A groundbreaking technology company changing the banking system is looking for a Senior Back-end Engineer to join the ride.
If you are an experienced, professional, Back-end engineer who likes challenges, working with the best, and wants to be part of an industry-disrupting company, please apply to join our journey in building the next big thing in finance.
Responsibilities:
You, as our Senior Backend Engineer you will be responsible and lead the following:
Lead and take end-to-end ownership of entire product development, be part of a multidisciplinary team
Take part in or lead architectural decisions and discussions
Review code developed by others, and provide feedback and mentoring to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
Solve complex business processes, create object models, define APIs, build web services, and more
Triage production and system issues, prioritize, track, debug, and solve with stakeholders and other team members
Work directly with others (engineers and other internal stakeholders) to develop a solid understanding of the business application and requirements for which the application is being designed
Be part of building a scalable and agile R&D organization by helping define and create the right tools and processes

We are seeking a highly skilled and experienced Staff Software Engineer to join our MLE-Backend group. The ideal candidate will have a strong background in distributed systems, data engineering and software engineering, and will be responsible for leading the design, development, and deployment of top quality data pipelines, data lake and an ML feature platform.
What you'll be doing
System Design and Architecture: Develop and maintain robust, scalable, and efficient distributed systems and data pipelines to help build the new generation of ironSource's ML feature platform.
Research and Innovation: Stay current with the latest advancements in machine learning data pipelines, feature stores, and apply innovative techniques to improve data aggregations, monitoring, cleaning & filtering and preparing for ML training.
Cross-Functional Collaboration: Work closely with data scientists, software engineers and product managers to build the data lakes and data pipelines.