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we are seeking a Senior Infrastructure Engineer to join our Core SRE team and help build the next generation of our stream-based observability platform. We deliver real-time data analytics at scale to some of the worlds leading tech companies
The Core SRE team is responsible for the foundational infrastructure that powers :
Kubernetes Infrastructure: Managing over 10,000 nodes across multiple cloud providers and regions. production is 100% Kubrenetes based
Kafka Clusters: Maintaining critical, large-scale Kafka clusters processing billions of events per second.
Automation & Operators: Building and maintaining both open-source and custom Kubernetes operators to manage complex stateful workloads like Kafka. Our tech stack is constantly evolving. It includes: Kubernetes, Go (Golang), AWS, GCP, Kafka, Istio, and more.
Responsibilities:
Act as a hands-on technical leader with deep expertise in modern cloud infrastructure.
Serve as a go-to person in the team - leading through influence, not hierarchy.
Collaborate cross-functionally to refine requirements and propose innovative, scalable solutions.
Drive long-term, high-impact infrastructure projects across multiple teams, from design to implementation, within defined timelines.
Contribute to improving system reliability, performance, and cost-efficiency at scale.

Required Senior Release Engineer Infrastructure
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Release Engineer on the Infrastructure group, youll play a vital role in solving scaling challenges in our build system, handling 8 million lines of code and 160,000 unit tests efficiently.
How youll make an impact:
As a Senior Release Engineer, youll bring value by:
Solve scaling challenges in our build system, handling 8 million lines of code and 160,000 unit tests efficiently.
Drive best practices for DevOps, site reliability, and infrastructure scalability.
Build and support a self-service toolset to empower developers and streamline release processes.
Design, implement, and maintain CI/CD pipelines to ensure smooth, automated, and reliable software releases.
Develop scalable infrastructure as code (IaC) solutions to improve deployment efficiency and system reliability.
Enhance observability, monitoring, and logging to proactively detect and resolve performance issues.
Work closely with development to optimize release workflows and reduce downtime.
Manage and improve containerization strategies using Kubernetes, Docker, and related technologies.
Leverage Gen-AI tools to accelerate development velocity across all RnD.
Own the management of third-party libraries in our central Java code repository, ensuring seamless Spring and Java upgrades
Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis.

In this role, you will be responsible for:
Work as part of a team to operate a large-scale test automation lab for multiple products
Test and integrate SW and HW deliveries from various global R&D teams, including manage, debug and failure analysis of automated tests
Automate manual tasks for the lab and collaborate with technology teams to migrate more setups to the lab
Constantly improve and innovate our lab procedures, HW setups and SW tools

we are looking for a Senior Software Engineer.
As a Senior Software Engineer in the IaC team, your focus will be on building the foundational tooling for managing resources and configuration as code, including SDKs, public APIs, Terraform providers, and Kubernetes integrations as well as extending with new backend services.
engineers own critical systems, influence product direction, and prioritize long-term quality over short-term solutions. Youll be part of a team that values clear thinking, pragmatic design, and continuous improvement.
Key Responsibilities:
Design, implement, and evolve a high quality public API directly used by customers.
Own core infrastructure tooling like our Terraform provider and Kubernetes operator.
Investigate and integrate AI/ML-driven approaches to enhance our core infrastructure tooling, platform stability, and operational efficiency
Build SDKs that promote stability and an excellent developer experience.
Guide internal teams to create and maintain a stable API.
Design, and implement critical backend services for the platform.

The worlds largest content recommendation platform, is hiring a Senior Programmatic Account Manager for our TLV Office. In this role, you will be directly responsible for managing a book of business of tier-1 clients, identifying and executing upsell & optimization opportunities at scale.
You will excel in this role if you enjoy working in a highly technological & analytical environment, and love developing rock-solid relationships with international clients.
How youll make an impact:
Manage a book of business of programmatic partners - understand client strategic objectives & KPIs in order to be able to intelligently identify and execute opportunities, upsell effectively and grow the overall partnership
Monitor, troubleshoot and optimize performance for different types of client integrations and activities
Use data analytics tools (Tableau, QlikSense, Excel, etc.) on a daily basis to draw business conclusions and identify opportunities for growth
Routinely meet & have weekly calls with your clients to share insights & potential initiatives, and review overall performance - backed by data
Successfully build and maintain close relationships with key people in your book-of-business. Strengthen partnerships with clients and influence their business strategy & decision making
Develop and execute long-term account plans and conduct QBR (quarterly business review) meetings with strategic clients
Work very closely with Product Management- as well as other internal teams - to increase client engagement by building new features / improving products based on clients feedback, as well as troubling technical issues.

This role is highly collaborative and requires work with multiple HW and SW teams to analyze and optimize HW and SW performance.

Perform system level analysis and simulation of imaging systems using Matlab and/or Python
Define and analyze lab characterization tests
Analyze large data sets from factory and / or field to gain insight into HW / SW performance and user behavior
Create and maintain specification documents and their ties to user experience on one hand and component specification on the other
Collaborate and drive cross functional teams
Manage project deliverables and schedules to meet commitments to other development teams

Coralogix AI is hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before.
As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability.
If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

We are seeking engineers with hands-on experience in developing and managing distributed systems and microservices in a production environment. The ideal candidate should have a solid background in infrastructure and operations.
The team builds high-throughput ingestion and processing pipelines, efficient storage on object stores, and systems for data governance, usage reporting, and routing data to multiple physical locations.
You will work on cloud-native, production systems written in Rust and Scala, operating at scale with Kafka, Postgres, Redis, and object storage, run on Kubernetes and operate in a multi-cloud environment.
Responsibilities:
Develop and operate distributed systems in production
Build Kafka-based ingestion and processing pipelines
Design systems for data governance, retention, deletion, and usage reporting
Work with Postgres and Redis, requiring solid database design and operational knowledge
Implement efficient persistence using column-oriented data formats and object storage

The worlds largest content recommendation platform, is hiring a Senior Performance Account Manager for our TLV Office. In this role, you will be directly responsible for managing a book of business of tier-1 clients, identifying and executing upsell & optimization opportunities at scale.
You will excel in this role if you enjoy working in a highly technological & analytical environment, and love developing rock-solid relationships with international clients.
How youll make an impact:
Manage a book of business of programmatic partners - understand client strategic objectives & KPIs in order to be able to intelligently identify and execute opportunities, upsell effectively and grow the overall partnership
Monitor, troubleshoot and optimize performance for different types of client integrations and activities
Use data analytics tools (Tableau, QlikSense, Excel, etc.) on a daily basis to draw business conclusions and identify opportunities for growth
Routinely meet & have weekly calls with your clients to share insights & potential initiatives, and review overall performance - backed by data
Successfully build and maintain close relationships with key people in your book-of-business. Strengthen partnerships with clients and influence their business strategy & decision making
Develop and execute long-term account plans and conduct QBR (quarterly business review) meetings with strategic clients
Work very closely with Product Management- as well as other internal teams - to increase client engagement by building new features / improving products based on clients feedback, as well as troubling technical issues.

Required Senior MLOps Engineer
Realize your potential by joining the leading performance-driven advertising company!
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.
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 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 Machine Learning Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Machine Learning Engineer, 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 Senior Machine Learning Engineer, 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.

Required Senior Data Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Data 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 Senior Data 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 seeking a highly experienced technical writer to join our team and take ownership of certain areas of the documentation.
documentation is a key part of the product journey. The way we communicate shapes how users experience our platform - our content adds clarity, character, and depth to everything we build. We aim to make complex ideas simple, support users as they onboard, and empower them to become experts. Great docs dont just explain; they inspire confidence and make users love the product.
Our team embraces AI tools to boost how we create and maintain content - from drafting smarter to spotting gaps we didnt see before. We're all about experimenting with intelligent tools to work faster and write better.
You'll be joining a group of writers who are passionate about technology, obsessed with clear communication, and always pushing for better. If you're excited about combining thoughtful writing with powerful tech, wed love to connect.