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Required Staff MLOps Engineer
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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 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.

As formal Verification Engineer you'll own verification tasks from planning through execution, collaborating with experienced engineers across multiple teams to ensure design quality while meeting challenging timelines of the Graviton product line. This is an excellent opportunity for motivated engineers to grow their formal verification expertise in a supportive, high-impact environment.

Key job responsibilities:
Plan and execute formal verification plans under guidance from senior engineers.
Develop formal test-benches for design modules.
Debug formal verification failures and analyze root causes.
Collaborate with design and verification teams to resolve issues.
Learn and apply new formal verification methodologies and tools.

Solutions Architects work hand in hand with our Software & Technology customers to help them make the most of the cloud. They are at the crossroads of technology and business, engaging with some of the most exciting software companies at all stages of cloud adoption. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Solutions Architects own the overall technical relationship between customers and us. They work to understand the customer's business needs and provide prescriptive guidance on how to create business value with technology.

In this role, you will practice your creativity, linking technology to tangible solutions and educating our customers about the art of the possible. You will have the opportunity to define or invent cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day, you will learn something new from your customers, your peers, and your own experiments.

Key job responsibilities:
As a Solutions Architect, you will work directly with customers to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes.
Educate customers of all sizes on the value proposition of us, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud.
You will own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide.
Share the voice of the customer to influence the roadmap of new features and services for the platform.
Create and capture best practices, technical content, and new reference architectures (e.g., white papers, code samples, blog posts).
Evangelize and educate about our technology (e.g., workshops, user groups, meetups, public speaking, online videos, or conferences).
Contribute to the growth of the Solutions Architecture organization by hiring, coaching, and mentoring others.
Develop areas of depth in technical domains such as: Generative AI and Data Analytics, relevant to your interests and your customers' outcomes.

Required Staff Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff 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 Staff Algo Data 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 are looking for a Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!
Responsibilities
Develop and maintain robust, scalable, and secure Java-based software solutions
Collaborate with product managers, architects, and other engineers to design and implement new features
Build and optimize data processing pipelines for high-volume analytics applications
Ensure software quality through code reviews, unit testing, and integration testing
Participate in architectural decisions, contributing to the design of cloud-based systems
Monitor and optimize system performance to meet scalability and reliability goals
Troubleshoot, debug and resolve issues in development, staging, and production environments.

we are looking for a Senior Test and Product Development Engineer who is results oriented, have strong analytical skills, attention to details and wants to join the ride as we spearhead the next revolution in electronics
Responsibilities
Work with customers during both pre and post silicon phases to enable them with data extraction and analysis from our company monitoring solution
Working and debugging with customers to enable our company solution on ATE, Bench, System
Driving our company solution value with the customer by Performing data analysis and providing insights on data extracted from post silicon stages.
Working with the customers on onboarding of our company analytics platform, handling new feature introduction
Working internally with product and RnD teams to provide feedback and enhancements to the product.

We are seeking an experienced Embedded Software Development Engineer to join Annapurna Labs, a strategic division of Amazon.
You will join a team focused on high-performance computing (HPC), impacting millions of our services globally.
In this role, you will be instrumental in designing and developing embedded software that powers our cloud infrastructure.
The jobs consists of mainly software development and silicon debugging, in C/assembly, and using scripting languages/AI.

Key job responsibilities:
- Design and implement embedded software solutions for next-generation cloud computing platforms.
- Develop and optimize validation software for advanced semiconductor devices.
- Create, maintain, and debug robust testing frameworks for silicon validation.
- Collaborate with cross-functional teams on complex system development and integration.
- Debug and optimize software at both pre-silicon and post-silicon stages.

We are looking for talented Engineers to join our Virtual Platforms team.
Virtual platforms play a crucial role in accelerating the development process by enabling early Software development, System-Level testing, and architectural exploration without the constraints of physical prototypes.

As a Virtual Platform Engineer, you will:
Develop accurate and efficient simulation models of hardware components.
Create and maintain Virtual Platform environments for software development and system-level validation.
Debug and optimize complex hardware-software interactions.

This role requires strong communication skills and a collaborative mindset, as you'll frequently interact with various teams across AWS to deliver optimal solutions.

If you are passionate about shaping the future of semiconductor technology and meet our qualifications, we invite you to join our dynamic team. Let's redefine what's possible together!

We are looking for a Software Engineer to join our Live Events Discovery team in Israel. Our team owns and operates tier-1 services that are critical to Prime Video's live sports business, serving millions of customers globally with strict availability and latency requirements. We are responsible for connecting customers to live sports experiences through content discovery and personalization. Our service powers the carousels and content discovery features across Prime Video's home page, sports pages, and subscription pages.

This role offers the opportunity to work on services where every decision matters - from architectural choices to caching strategies to error handling - because our services are in the critical path for customer experience during the biggest moments in sports.

Key job responsibilities:
- Build architecture and feature development for our Tier-1 service.
- Build and maintain highly resilient distributed systems that handle millions of requests during peak live sports events.
- Design and implement sophisticated content curation and filtering logic that integrates with multiple upstream services for entitlements, blackouts, recommendations, and playability.
- Partner with other engineers to ideate, design, and build scalable solutions.
- Tackle complex technical challenges across the stack - from service APIs to data orchestration.

As a member of our team, you will:
- Own and operate mission-critical, Tier-1 services with stringent availability and performance requirements.
- Build and scale high-throughput, low-latency content discovery services deployed across multiple AWS regions globally.
- Drive operational excellence for services during peak live sports events.
- Architect solutions that integrate with multiple upstream services for content filtering, entitlements, blackouts, and recommendations.
- Work on intelligent content curation systems that surface the right live sports content to the right customers at the right time.
- Collaborate with merchandising, recommendation, and content teams to deliver personalized sports discovery experiences.

At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

we are a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work
At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Location: Tel Aviv

The Role
Were looking for a hands-on Technical Lead / Architect to design, build, and guide the development of scalable, secure, and resilient systems. As a key member of our engineering team, youll own architectural decisions and lead the delivery of a large-scale SaaS platform that powers mission-critical experiences for our customers. Youll collaborate with seasoned engineers and product leaders to shape and implement our technology vision - spanning everything from REST APIs and distributed microservices to data pipelines and analytics infrastructure. Youll work with modern open-source tools, cloud-native frameworks, and DevOps practices to deliver solutions that scale efficiently and securely.

Your Day-to-Day

Lead the design and implementation of core backend systems and microservice architectures.

Drive technical decision-making, ensuring performance, scalability, and security-by-design.

Collaborate cross-functionally with product, DevOps, and data teams to align architecture with business goals.

Champion code quality, automation, observability, and engineering excellence.

Mentor engineers, conduct design and architecture reviews, and raise the teams technical bar.

Work closely with data scientists to integrate machine learning / AI models into the system.

Stay ahead of emerging technologies, frameworks, and cybersecurity best practices relevant to SaaS architecture.

What youll do
Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems.
Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams.
Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed.
Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions.
Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach.

Were looking for a hands-on, entrepreneurial Team Lead to take full ownership of Ollys knowledge systems and build one of the most critical pillars of the product.
Responsibilities:
Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around what knowledge means for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams

We are looking for a Backend Engineer to join a growing group! Our Alerting backend powers real-time, streaming-based detection at massive scale, processing millions of events per second with millisecond latency to catch issues as they happen.
Built with a distributed, event-driven architecture, it supports complex pattern evaluation, dynamic enrichment, and fault-tolerant delivery for mission-critical observability
Our Stack:
Scala(ZIO)
Kafka Streams / Akka Streams
Kafka
ElasticSearch, Redis
Kubernetes
AWS
What You'll Do:
Lead the design, development, and evolution of scalable, high-impact systems.
Own features end-to-end, ensuring predictable production behavior from design through deployment.
Solve complex technical challenges at scale using sound engineering principles and modern stream processing technologies.
Collaborate closely with engineers and product managers to continuously improve the product.
Drive both technical excellence and meaningful user outcomes.

Were looking for a technology enthusiastic Team Leader to lead and evolve our global cloud and Kubernetes foundations. This role combines technical leadership, people leadership, and platform ownership, enabling hundreds of developers to deliver reliably and securely in a large-scale, regulated, multi-cloud environment. The Team Lead will own the day-to-day execution and continuous evolution of our platform capabilities, while aligning with broader architectural direction and organizational goals.
What you'll do:
Leadership & Management Responsibilities:
Lead a team of DevOps Engineers in building and maintaining high-performance, fault-tolerant, scalable cloud and Kubernetes platforms across AWS, GCP and private cloud
Collaborate closely with associate teams in the platform department
Oversee team's deliverables design and architecture for infrastructure automation
Coach and mentor your team - leading to success and meeting goals
Report your team's KPIs and performance metrics
Put focus on team professional and personal growth
Become the technical authority for your team by demonstrating a hands-on leadership style
Technical Leadership Responsibilities:
Create and maintain pipelines and automation strategies
Lead the automation of infrastructure layer for our private cloud and public cloud environments
Drive the development and integration of infrastructure tools in support of production systems
Oversee the automation of provisioning and configuration for Windows/Linux environments
Work closely with platform departments to streamline their working methods
Handle technical challenges like performance, scale, security, and live production issues
As a core member of the leadership team, participate in 'On-Call' duties on our company production systems, working in non-conventional hours including weekends and holidays (from time to time).