דרושים » הנדסה » Senior Software Engineer, Product Offering Group

Were looking for a Staff Engineer to join our Disputes product leadership team.
Disputes are critical for consumer protection, but theyre also exploited by fraudsters, putting merchants at risk. Our team is building intelligent, scalable systems to help businesses fight back and protect revenue with minimal friction.
Youll bring technical leadership to a complex, evolving domain guiding key decisions, and working cross-functionally with product, and analytics. If you enjoy shaping a technical vision in a dynamic environment and love solving hard problems with real-world impact, wed love to meet you!

What you get by working with us as a Staff Engineer:
Experience working on complex offline and online architecture.
Collaboration in a friendly, high-talent-density environment.
High agency to execute your technical vision.
Working on an up-and-coming offering in a stable company.

We are looking for a senior backend engineer to join our team.
As a Backend Engineer , youll get the chance to build a high-scale, performant, secure, and modern SaaS product serving thousands of businesses worldwide!

You will work with a highly professional team and have the opportunity to experience multiple technologies, from Java backends to serverless NodeJS applications, running on modern cloud infrastructure.

Each member of our Engineering team is an all-around player that influences the product from the overall experience to the details of development and architecture. You should be passionate about software engineering and creating and owning a product end-to-end; from inception to production, through design, architecture, implementation, verification, deployment and monitoring.

What will you do:
Collaborate with a team of sharp, impact-driven engineers to solve meaningful, complex challenges at scale.
Partner with product managers to ship high-performance, resilient backend systems and APIs that power core experiences.
Architect and build robust, customer-facing services and platformsend-to-endfrom scratch, using todays best tools and practices.
Own your code in production: continuously improve, optimize, and evolve the systems that drive our business.
Take full accountability for designing, implementing, testing, and deploying backend capabilities with a focus on quality and velocity.
Champion engineering excellenceset high standards, own what you build, and help level up the team around you.

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.

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.

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 are looking for a strong Full Stack Engineer to join our team focused on improving the conversion rate of leads to paying customers. We are building a product with high scalability in mind, which will require you to solve challenging problems on a daily basis. As a Full Stack Engineer, you will be expected to understand the product, work closely with team members to build new features, enhance our platform, and take ownership of your work. You should be passionate about delivering high-quality, functional user interfaces while working in a fast-paced environment. Join us to drive user journey innovation and streamline customer acquisition processes.
As a Full Stack Engineer at our company you will...
Join a high-impact team dedicated to improving lead conversion rates and enhancing user experiences on our platform
Drive the development of robust, high-quality software with strong test coverage and engineering best practices
Collaborate through peer code reviews that promote knowledge sharing and continuous improvement
Own the full development lifecycle from shaping feature design to deploying and supporting production systems
Take the lead on back-end architecture, leveraging Node.js and introducing microservices, optimizing performance, and ensuring system reliability
Build intuitive and responsive user interfaces with Vue.js that deliver personalized and data-driven user experiences
Become the technical authority in your domain, guiding decisions and mentoring peers as the go-to expert
Work closely with other development teams, as well as marketing and sales teams, to incorporate their requirements into your solutions.

We are seeking a Senior Platform Engineer, Observability to join our Observability team. This role offers the opportunity to work at the intersection of software development and platform engineering, contributing to the tools, systems, and practices that improve visibility, reliability, and operational excellence across our engineering organization.

This position is ideally suited for experienced software engineers who are passionate about building high-quality systems and are interested in expanding their expertise in observability, distributed systems, and developer experience. You will help design, build and maintain systems that empower engineers across us to monitor, understand, and troubleshoot their services more effectively.

Our observability team is responsible for delivering scalable and user-friendly solutions to over 150 engineers working across more than 20 teams. Were focused on enabling rapid incident detection and resolution, improving our reliability posture, and supporting a culture of continuous improvement.

What you'll be doing:
Design, build, and maintain observability tools and infrastructure that help our engineers provide actionable insights into the performance and reliability of our systems.
Collaborate with other engineers and teams to enhance the developer experience around monitoring, logging, alerting, and tracing.
Develop and evolve our internal tooling to simplify the process of instrumenting and observing services.
Partner with engineering teams to improve incident response and recovery workflows, and ensure systems meet internal SLOs/SLAs and reliability targets.
Support the migration from our legacy ELK stack to a modern observability platform using Prometheus, Mimir, Grafana, Honeycomb, Loki, Quickwit, and OpenTelemetry.
Contribute to knowledge sharing and the ongoing development of best practices in observability across the organisation.

A leading omnichannel marketing platform that leverages advanced AI and machine learning to deliver intelligent solutions based on data with performance media, enabling smarter decision-making, increased efficiency, and maximized returns - Revenue enabler for businesses around the world. Its partners include Google, Meta, Amazon, and Microsoft and more. ~$7 billion in ad spending is managed on the platform every year.
Established in 2006, Were 700 employees strong. We work hybrid with a great home/ office work mix.

What will you do?
As a Java Software Engineer at Kenshoo , youll take part in building scalable, high-performance systems that power some of the largest digital marketing platforms in the world. Youll be responsible for developing end-to-end features from database design and backend services to client-facing components all while working with cutting-edge technologies and handling real-world scale. Youll collaborate closely with Product Managers, fellow engineers, and cross-functional teams to shape product direction and deliver high-quality solutions. As part of a strong, experienced team, youll contribute to architectural decisions, mentor others, and continuously push the boundaries of what our platform can do.

Responsibilities:
Design and implement end-to-end features and products, spanning from backend (including databases) to client-facing components
Tackle complex and large-scale technical challenges in cutting-edge, high-performance systems
Collaborate closely with Product Managers and fellow Engineers to deliver high-quality, impactful solutions
Provide technical mentorship and support to team members, fostering a culture of learning and growth
Analyze and optimize the performance, scalability, and reliability of Kenshoo products, infrastructure, and internal tools
Stay up-to-date with emerging technologies and propose innovative ideas to continuously enhance our product offerings

We are looking for a Software Engineer to join the Server team, part of the Core Platforms group.
Joining this team means stepping into the exciting challenge of building and improving one of the worlds fastest and most respected NoSQL databases. The Server team is truly unique it contributes to both the Community Edition and the Enterprise product, constantly enhancing and evolving both.
Since we sit at the very core of our platform, any work done here directly impacts the entire organization. Youll collaborate not only with our open-source community but also with a wide range of internal stakeholders. This role is ideal for those who are passionate about technology especially performance, elegant problem-solving, and community-driven development.
If that sounds like you and youre fun to work with, curious, and ready to make a real impact in a wildly successful unicorn this is your next challenge.
What will you do?
Develop the next generation of the database across both our community and proprietary forks, as part of our Cluster products and solutions.
Take part in building and advancing on Flash (ROF).
Own and lead our features end-to-end from initial design through development, testing, and deployment.
Debug, maintain, and enhance the infrastructure, both in terms of features and performance.
Collaborate closely with fellow engineers, as well as cross-functional teams such as Product, DevOps, Support, Customer Success, and other R&D teams.

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.