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we are looking for a team leader to lead the Data Pipeline engineering team. Our team is made up of strong, all-around players, well-experienced, highly motivated, independent, innovative, fast learners, great problem solvers, and great people to work with.

Our engineering challenges involve big data and stream processing in super high-scale environments, which keeps on increasing as the customers increase their usage and new customers join. Furthermore, we are seeking better ways to accurately analyze traffic patterns, identify attackers and attack vectors, and provide customers with improved visibility into their security posture.

Required Staff MLOps Engineer
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.

We're looking for a Senior SRE Engineer who combines strong infrastructure expertise with solid programming skills to help scale our platform, who can balance operational excellence with software development.
This is an exciting opportunity to build SRE processes from the ground up - creating new reliability pipelines, monitoring frameworks, and foundational practices that will scale with our rapid growth.
You'll lead our infrastructure and reliability efforts while writing code to automate, optimize, and enhance our systems. This role requires both deep technical expertise and the ability to mentor team members as we scale.
Stack: AWS, Python, EKS, K8s, Kafka, RabbitMQ, Pulumi, PostgreSQL, Databricks, GitHub Actions
Core Responsibilities:
Design and implement scalable, reliable infrastructure solutions on AWS using Infrastructure as Code (Terraform/Pulumi).
Build and maintain sophisticated CI/CD pipelines with GitOps methodologies.
Develop custom tooling and automation scripts in Python/Go/similar languages to improve operational efficiency.
Architect and implement comprehensive observability solutions (metrics, logging, tracing, alerting).
Define and track SLIs/SLOs/Error Budgets to ensure system reliability.
Lead incident response, conduct thorough post-mortems, and drive systemic improvements.
Optimize cloud costs through data-driven analysis and architectural improvements.
Collaborate with development teams to improve application reliability and performance.
Mentor team members on SRE best practices and infrastructure design patterns.

We are looking for a highly skilled Technical Team Lead to drive two of the most critical components in our product: the Sensor and the Hybrid (our edge deployment layer).
This is a hands-on leadership role combining deep technical expertise, architectural ownership, and the ability to build a strong, distributed team.

Youll work closely with architects, product, and field engineers while playing a central role in shaping the foundation of our next-generation data collection and delivery pipeline.

What will you do?

Lead a strong technical team
Manage the data pipeline and lead the development of a Data Fetcher component to be deployed in either cloud or customer on-premise environments.
Oversee remote management and deployment processes for sensors and Edge servers at customer sites.
Research, Experiment and deploy new technologies to allow data collection from a multitude of resources facing challenging constraints.
Ensure seamless integration with multi-cloud environments, APIs, and customer-specific systems.
Develop solutions that meet SaaS standards while maintaining true on-premises functionality.
Optimize system performance (RPM, CPU usage) to ensure efficient use of resources without scaling infrastructure unnecessarily.
Help define and shape the team as a major knowledge center in the company.
Influence and build core product components that make a real impact in the field- not maintenance work.

Required Staff Algorithm Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Staff Machine Learning Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

we are looking for a Senior Full Stack Engineer to join our community!
As a Senior Full Stack Engineer, you will play a key role in designing, building, and scaling core systems and features.
You will take ownership of a new and developing product, working end-to-end from architecture through implementation to delivery.
Youll design and develop scalable backend services, build full-stack product features, and integrate with diverse external APIs.
Your work will directly impact system reliability, scalability, and performance.
Youll collaborate closely with Product, QA, Design, and DevOps teams in a fast-paced, delivery-driven environment where data and innovation guide every decision.
Tech stack: Python, React, TypeScript, AWS, Kubernetes, SQL/NoSQL databases.

we are looking for a Senior QA Engineer to join our community!
As a Senior QA Engineer, you will play a central role in ensuring the quality of our software and serve as a key function within the QA team.
You will guide, support, and implement a shift-left approach, actively collaborating with developers to integrate testing practices earlier in the development lifecycle, addressing quality considerations in feature lifecycle stages, and minimizing potential issues before they escalate.
In addition, you will take a significant part in the organizations automation efforts, helping to define, implement, and maintain automated tests to ensure high-quality software while enabling faster and more r:eliable releases.
Responsibilities:
Plan, design, and run comprehensive test plans for both new and existing complex features, leveraging a deep understanding of product, business, and technical requirements.
Champion a shift-left testing philosophy, actively collaborating with developers to integrate testing earlier in the software development lifecycle.
Proactively identify and address potential quality issues at the early stage of development, minimizing risks and enhancing overall product quality.
Conduct root cause analysis for identified bugs, leveraging analytical skills to pinpoint the underlying issues and collaborating with the team to implement effective resolutions.
Collaborate with developers automation engineer to drive the organizations automation efforts. Define scenarios for automated tests, write and maintain automated test scripts, and ensure strong regression coverage.
Work independently to execute assigned tasks, taking ownership of the testing process and ensuring that deadlines are met.
Continuously seek opportunities to improve processes, tools, and practices, helping the team evolve and maintain high-quality standards.
Mentor and guide team members in QA best practices, test design, and automation approaches, fostering knowledge sharing and supporting continuous learning within the team.

Were seeking a visionary and technically hands-on AI Team Leader to join Alison.ai and take charge of driving innovation across our core AI systems. As the AI Team Leader, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform.
You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

Join our growing AI team as an Algorithm Developer and help build systems that solve complex challenges in the worlds of creative and marketing.
You'll work hands-on across the stack of our AI features and have real impact on the products evolution.
Key responsibilities:
Research, design, and implement state-of-the-art algorithms in Generative AI.
Work closely with researchers & engineers to bring prototypes into production.
Optimize algorithms for scalability, cost, and performance in cloud environments.
Collaborate with product teams to translate business needs into algorithmic solutions.

We are looking for a talented Full Stack Engineer to join our growing web application engineering team.
This is a unique opportunity to join a high-performing, tech-driven environment where you will influence architecture, shape new features, and contribute to building a robust, scalable platform.
In this role, you will work across the stack - designing and developing end-to-end features, improving system performance, and helping build an engineering culture that emphasizes quality, reliability, and clean code.
You will collaborate closely with our Product, Data, and AI teams to build innovative, AI-driven capabilities that power the next generation of creative intelligence.
As part of a fast-moving startup and an industry leader, your contributions will directly impact our product evolution and customer experience.
Key responsibilities:
Design, develop, and own fullstack features end-to-end, from planning to deployment and monitoring.
Contribute to architectural decisions and help build scalable, maintainable systems.
Write clean, testable, and well-documented code while upholding high standards across the team.
Diagnose, debug, and resolve complex issues while continuously improving platform reliability.
Collaborate closely with cross-functional teams (Product, Data, AI) to deliver high-impact solutions.
Participate in code reviews, knowledge sharing, and ongoing improvements to development workflows.
Stay up to date with modern technologies and bring fresh ideas to improve efficiency, tools, and developer experience.

Were looking for a seasoned R&D Team Leader to join our top-notch technology R&D team, reporting directly to the VP R&D.
In this role, you will drive technological innovation, oversee the development of cutting-edge features, and guide the team in delivering scalable, high-quality products.
You will combine hands-on technical leadership with strategic oversight, ensuring that our platform continues to evolve and deliver impactful solutions for our clients.
As part of an AI-first company, our web team is deeply involved in creating and integrating AI-driven features to enhance our digital offerings.
Key Responsibilities:
Lead the R&D team in developing new features and enhancing our platform.
Oversee the end-to-end development lifecycle, from ideation to deployment.
Ensure high-quality code, scalable architecture, and smooth product delivery by implementing best practices in software development.
Mentor and support team members in their professional growth.
Troubleshoot and resolve complex technical challenges in collaboration with the team.
Collaborate with cross-functional teams including Product, Data, and AI to align development efforts with company goals.
Drive innovation and stay updated on new technologies to keep us at the forefront of the industry.

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 believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business. We Need You! At Tailor Brands, our developers take full ownership across the stack - from ideation and architecture to deployment, observability, and maintenance. Youll craft seamless user experiences, build scalable backend systems, and help shape how AI integrates into our engineering workflows and product development.In our full CI/CD environment, youll work closely with a passionate team, leveraging modern technologies and AI-driven tooling to accelerate development, automate repetitive tasks, and deliver high-quality, high-impact solutions that empower millions of small businesses worldwide. Key Responsibilities
* Collaborate with product managers, designers, and fellow engineers to bring ideas to life.
* Build next-generation web applications focused on User Experience and scale.
* Create efficient and reusable Front-End abstractions and systems, while adopting AI-powered tools that accelerate UI development (e.g., Figma-to-code generation).
* Craft secure, scalable, and maintainable backend services, and contribute to decisions around how AI/MCP capabilities are exposed across microservices.
* Lead architecture design, implementation, and monitoring of solutions.
* Perform code reviews, drive engineering best practices, and help the team adopt AI tools that boost productivity and improve Developer experience.
* Champion modern technologies - including AI integrations, MCP patterns, observability, and automation - to push our engineering organization forward.

We are looking for a Full Stack Engineer to join our team, contributing to the development and maintenance of high performance, scalable systems in a dynamic, agile environment. The ideal candidate possesses a strong focus on scalable web services, applications, and APIs, along with passion for exploring and implementing cutting edge technologies in cybersecurity.

What will you do:

* Be responsible for developing and implementing features and functionality for the new product with a mix of front end and back end development
* Build a full fledged SaaS application
* Analyze product requirements and create development tasks that satisfy the requirements
* Develop tools and libraries that will enable rapid and scalable development in the future
* Improve system quality by identifying issues and common patterns and developing standard operating procedures
* Investigate and use new technologies where relevant
* Provide written knowledge transfer material
* Deliver tasks at hand, maintaining quality and on time
* Provide solutions for ad-hoc issues arising from the field
* Enhance applications by identifying opportunities for improvement, making recommendations, and designing and implementing systems
* Work closely with the various Engineering, Research, Product, Design, and scrum teams to deliver the best product to our customers

About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

Required Senior Software Engineer, Infrastructure
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Software Engineer on the Infrastructure Engineering R&D group, youll play a vital role in developing one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day.
How youll make an impact:
As a Senior Software Engineer, youll bring value by:
Develop one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day
Have end to end ownership: Design, develop, deploy, measure and maintain our services
Solve production issues in the framework code
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Here are some of the things software devs in our group did in the last several months:
Rewrote part of our recommendation servers to reduce serving time p999 by >40%
Rolled out custom Cassandra compaction strategy
Created and improved our Kafka consumer designed for very high scale
Developed a brand new metrics pipeline, ingesting over 100B metric messages per day
Anomaly detection engine for application metrics
Rolled out a new custom home-built our authentication service
Many more things
Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis.