ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.
What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.
Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.
Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.
 

SUMMARY:

• As a Senior Big Data Engineer, working within Placer.ai's Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.

RESPONSIBILITIES:

• Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
• Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
• Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
• Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
• Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
• Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
• Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
• Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

REQUIREMENTS:

• Strong hands-on Apache Spark experience — building and operating pipelines in production, not just familiarity
• Proficiency in PySpark or Scala for Spark development
• Proven track record delivering ETL pipelines and data integration at scale
• Solid SQL skills and command of data modeling concepts
• Cloud platform experience (AWS, GCP, or Azure) in a production data context
• Comfortable working with distributed systems and big data formats (Parquet, Delta Lake)

Nice to have:

• Experience with pipeline orchestration tools, particularly Apache Airflow
• Exposure to the geospatial or location analytics domain
• Familiarity with Hadoop ecosystem components
• Background in both Python and Scala (beyond Spark context)

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate
• Video Playlist: Placer Brand & Explainer Videos

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

May 2026

ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.

What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.

Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

SUMMARY:

We’re looking for a Senior Backend Engineer to join Placer.ai’s core engineering group and build the systems behind one of the world’s largest location-analytics platforms.

In this role, you’ll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If you’re motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.

RESPONSIBILITIES:

• Design, build, and evolve large-scale, distributed backend systems that power Placer.ai’s data and AI products
• Own services end-to-end — from architecture and design to production, monitoring, and continuous improvement
• Drive performance, scalability, and reliability, using data and metrics to guide decisions
• Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
• Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
• Raise the engineering bar through code reviews, design discussions, and technical mentorship

REQUIREMENTS:

• 7+ years of backend engineering experience in high-scale B2B SaaS or data-driven products
• Proven track record building and maintaining production-grade distributed systems
• Strong proficiency in one or more of: Python, Java, Go, Node.js, .NET — with a bias toward Python
• Solid engineering fundamentals: system design, data structures, APIs, testing, and observability
• Hands-on experience with data-intensive systems and complex data pipelines
• BSc in Computer Science or equivalent practical experience

AI Fluency:

• A genuine early adopter of emerging AI technologies — continuously explores new tools and paradigms, integrates them into practice ahead of the curve, and actively drives that culture within their team
• Applies AI tooling to elevate engineering quality: accelerating development cycles, improving code quality, automating repetitive work, and pushing the boundaries of what the team ships
• Raises the bar around them: inspires and challenges peers to think differently about how AI can change the way they build

OTHER REQUIREMENTS: 

• Deep experience with Python and MongoDB
• Experience with Google Cloud data technologies (BigQuery, Bigtable)
• Hands-on with Docker, Kubernetes, and Infrastructure as Code
• Exposure to AI/ML-adjacent systems: data pipelines, feature stores, model serving, or analytics platforms
• Experience integrating or building on top of LLM APIs or AI services
• Familiarity with frontend frameworks or full-stack collaboration

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits
• Hybrid

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate
• Video Playlist: Placer Brand & Explainer Videos

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

#LI-AC1 May 2026

Tenable Operational Technology (OT) Security

Tenable OT Security was established through the acquisition of a pioneering
Israeli cybersecurity startup, marking a major milestone in Tenable’s
mission to provide proactive security for the world's most sensitive
environments. Our solution offers critical visibility and risk management
for Industrial Control Systems (ICS/SCADA), protecting essential
infrastructures such as power plants, manufacturing floors, and smart
buildings. While traditionally an on-premises solution designed to ensure
operational continuity and prevent costly downtime, we are now evolving our
technology to deliver market-leading risk visibility through advanced
architectures and AI-driven capabilities. By combining deep on-premises
expertise with proactive AI insights, we empower organizations to identify
threats and network anomalies before any damage occurs

Your Opportunity:
As a Fullstack /Frontend oriented  Engineer on our team, you will be a key
contributor to our OT security platform, building from the ground up using
the latest versions of Angular. We are looking for a developer who is
equally comfortable defining new technical foundations as they are diving
into daily feature development and ticket execution. You will work as a
core member of an agile team, partnering with Product and Design to
translate requirements into user-centric interfaces, while also having the
curiosity to touch the Backend and work with APIs. This role is ideal for a
proactive engineer who enjoys the end-to-end process—from integrating
AI-driven insights to delivering on product goals—ensuring a seamless
experience for our customers..

What you'll need:

• 3+ years of experience as a Front-end Developer, with a strong focus on  the Angular Framework.

•   Proficiency in TypeScript, JavaScript, and CSS (experience with SASS/LESS is a plus).

•   Deep knowledge of performance optimization techniques and browser  troubleshooting.

•   Active engagement with AI development tools (Copilot, Cursor, Claude, etc.) with a strong emphasis on prompt engineering.

•   Critical thinking skills, a sense of ownership, and a team-player mentality.

•  Excellent interpersonal and communication skills.

Not sure whether to apply? Just do it!

The role

Nebius is searching for an Enterprise Networks Engineer with strong automation skills to design, implement, and optimize enterprise networks in Tel Aviv, including wired, wireless, and VPN infrastructure. 

Your responsibilities will include: 

• Work on the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability
• Build and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations
• Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements
• Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations
• Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures
• Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams
• Collaborate with telecom service providers in Israel and globally; lead escalations, manage SLAs, and drive service improvements

We expect you to have: 

• In-depth knowledge of TCP/IP technologies
• Familiarity with dynamic routing protocols
• Experience in automation using Python, Go, or other popular programming languages (ability to design and maintain production-grade automation)
• Proficiency in Unix system administration
• Hands-on experience with enterprise-grade network hardware (e.g., Cisco, Aruba, Arista, Extreme, Juniper)
• Strong ability to work independently, owning outcomes end-to-end in a senior/lead capacity

It will be an added bonus if you have: 

• Experience with network automation frameworks like Ansible, Terraform, NetBox, Nornir, or SaltStack
• Experience designing, developing, and operating high-load distributed systems
• Experience building high-density enterprise wireless networks (CWNA level or higher)
• Working knowledge of IPv6

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

We are looking for a Principal Backend Engineer to join our Analytics team based in Israel. This role reports to the Manager, Software Engineering. Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. You will leverage our robust data platform and security modules to provide immediate benefits to customers while making the world a more secure place.

What you’ll do (Role Expectations)

• Design, develop, and maintain scalable backend services within a cutting-edge microservices architecture using Scala and Java/Spring Boot

• Optimize performance, cost, and reliability of services in production while ensuring efficient data management across stores like Snowflake, Trino, and Apache Iceberg

• Drive innovation in semantic layers, query optimizations, and analytics capabilities to refine and expand our technology stack

• Operate seamlessly across product, UX, and frontend teams to deliver high-scale features from inception to production

• Mentor junior engineers and elevate the team’s technical capabilities through high-accountability partnership

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of proven experience in backend development with a focus on building robust, tech-driven solutions

• Experience designing and developing microservices architecture using tools such as AWS, Kubernetes, RabbitMQ, SQS, and Tilt

• Technical proficiency in Java and Spring Boot

• Strong communication skills and a demonstrated ability to solve complex problems in a dynamic environment

• A self-driven approach to exploring new technologies and driving innovation

What Will Make You Stand Out (Preferred Qualifications)

• B.Sc. in Computer Science or a related field

• Experience in leading a team, a squad or a cross-team effort/tech area.

• Expertise in query optimization, data analytics, and building semantic layers

#LI-MP1

#LI-HYBRID

The role

This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:

• applying reinforcement learning for agent training in long-context multi-turn scenarios
• dramatically scaling task data collection to power reinforcement learning for SWE agents
• building a decontaminated evaluation for SWE agents that is regularly updated
• investigating how test-time guided search can be used to build more powerful agents

The results often lead to collaboration with adjacent teams where our research findings are applied in practice.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

• Guided search and reinforcement learning for agentic systems
• Reinforcement learning for reasoning models
• Web-scale problem collection for training agents
• Efficient model distillation

Some examples of what your responsibilities might include are:

• Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
• Exploring methods of guided generation and search in the trajectory space
• Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
• Conducting experiments with different reinforcement learning configurations in verifiable domains
• Exploring methods to train AI agents on tasks with non-verifiable reward signals

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple computational nodes
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Strong communication and leadership abilities
• Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
• Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
• Ability to document research findings clearly and contribute to technical publications or report

Nice to have:

• Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc
• Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred
• Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
• Experience in engineering complex systems, such as large distributed data processing systems or high-load web services
• Open-source projects that showcase your engineering prowess
• Excellent command of the English language, alongside superior writing, articulation, and communication skills
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

About the role:

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.

Responsibilities:

• Develop and optimize low-level kernels and runtime components for AI inference 

• Improve performance of inference engines GPU platforms 

• Profile and debug system-level and hardware-level performance issues 

• Integrate support for new hardware architectures (Hopper, Blackwell, Rubin) 

• Collaborate with ML and backend teams to optimize end-to-end execution 

Required Qualifications:

• Strong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management 

• Experience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers 

• Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings. 

• Solid understanding of CPU/GPU architecture and memory hierarchy 

Preferred Qualifications: 

• Experience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU 

• Familiarity with ML inference runtimes (e.g. TensorRT, TVM) 

• Knowledge of Linux internals, drivers, or compiler toolchains 

• Experience with tools like perf, VTune, Nsight, or ROCm profiler 

• Familiarity with popular inference engines (e.g. such as vLLM, sglang, TGI) 

We conduct coding interviews as part of the process.

The role

Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.

• Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.                                                                                
• Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning.

• Deep expertise in modern deep learning for language processing and generation

• Experience with training large models on multiple computational nodes

• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)

• Strong software engineering skills (we mostly use Python)

• Deep experience with modern deep learning frameworks (we use JAX)

• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

• Strong communication and leadership abilities

Nice to have:

• Previous experience working with language models or other similar NLP technologies.

• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization

• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.

• Strong engineering skills, including experience in developing large distributed systems or high-load web services.

• Open-source projects that showcase your engineering prowess

• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

About Tavily Team

Tavily team is building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.

The Role: Senior Backend Engineer (Tavily)

We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.

This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.

What You’ll Do

• Design and build high-performance distributed systems

• Design and implement backend infrastructure and API endpoints

• Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

• Improve performance, monitoring, and reliability across the stack

• Own core systems and contribute to key architectural decisions

• Help shape a strong engineering culture focused on velocity and quality

What You Bring

• 5 years of professional software engineering experience

• Strong backend development skills

• Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale

• Hands-on expertise with AWS infrastructure and cloud-native services, bringing practical knowledge of deploying and managing services in real-world environments

• Comfortable in a fast-paced startup environment with lots of ownership

• Strong sense of ownership and accountability over outcomes

• Curiosity about LLMs, retrieval and the future of AI systems, with a drive to stay at the forefront of new technology

• Based in Tel-Aviv or open to relocating

Nice To Have

• Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code, Kubernetes orchestration, and modern monitoring tools

The Role

Tavily team is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG). We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact.

As a Software Engineer - Scraping Specialist, you’ll build the systems that power how AI interacts with the live web. You’ll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. You’ll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape Tavily’s ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What You’ll Do

• Build distributed data acquisition systems that capture and structure the live web
• Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
• Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
• Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
• Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
• Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
• Continuously evolve Tavily’s capabilities in resilience, speed, and authenticity of web interaction

What We’re Looking For

• 3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure
• Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus
• Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments
• Solid understanding of browser internals, network protocols, and web interaction mechanisms
• Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration
• Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions
• Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly
• Excellent documentation and communication skills to ensure smooth integration and operational visibility

Nice to Have

• Familiarity with cloud infrastructure, containerization (Docker), Kubernetes, and CI/CD
• Experience integrating AI or retrieval systems into production pipelines

The role

We’re looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have: 

• 5+ years of professional software engineering experience;
• Knowledge of C++ programming language;
• Knowledge of Python, Java, and Go is a plus;
• Ability to write reliable code and dig into complex problems;
• Teamwork-oriented approach;
• Fluency in English.

Nice to have:

Experience designing high-load and scaling services.

We conduct coding interviews as part of the process.

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

The role

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

The role

Nebius is looking for a highly technical, hands-on SIEM Engineer Lead to design, implement, and optimize advanced Security Information and Event Management (SIEM) capabilities. This role is responsible for developing detection strategies, improving security visibility, and driving automation across security operations processes. The ideal candidate will combine deep SIEM expertise with strong analytical and engineering skills to enhance threat detection, incident response efficiency, and security monitoring maturity. This is not a people management position, you will provide technical guidance, mentorship, and direction to SOC analysts, security engineers, and cross-functional teams

You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

• Architect, deploy, and maintain enterprise SIEM platforms and related security monitoring infrastructure.
• Develop and optimize detection rules, correlation logic, and alert mechanisms to identify security threats and anomalous activity.
• Design and implement log ingestion pipelines, normalization, and enrichment processes across diverse data sources.
• Continuously improve detection coverage by analyzing threat intelligence, attacker techniques, and emerging vulnerabilities.
• Create and maintain dashboards, reports, and metrics to support security visibility and operational decision-making.
• Drive automation of security monitoring and response workflows using scripting, APIs, and orchestration tools.
• Perform tuning and performance optimization of SIEM platforms to ensure scalability and reliability.
• Conduct threat hunting activities and support complex security investigations using SIEM data.
• Collaborate with engineering, infrastructure, and security stakeholders to integrate new log sources and telemetry.
• Develop documentation, standards, and best practices for SIEM configuration, logging, and detection engineering.
• Create APIs and interfaces that enable AI agents to query SIEM, pull evidence, and execute actions

We expect you to have: 

• 5+ years of experience in cybersecurity with strong focus on SIEM engineering or security monitoring.
• Hands-on experience with SIEM platforms such as Splunk, Microsoft Sentinel, QRadar, CrowdStrike, Elastic, or similar.
• Strong knowledge of log analysis,event correlation, and detection engineering.
• Experience with data pipelines, log parsing, and schema design.
• Experience with SOAR platforms and security automation.
• Experience with scripting or programming (e.g., Python, PowerShell, Bash) for automation and integrations.
• Solid understanding of network protocols, operating systems, cloud environments, and common attack techniques.
• Familiarity with frameworks such as MITRE ATT&CK, NIST, or CIS for detection mapping and security controls.
• Experience integrating threat intelligence and security tools with SIEM platforms.
• Knowledge of cloud logging and monitoring (AWS, Azure, GCP).
• Strong knowledge of Kubernetes architecture and security concepts
• Experience with Terraform, CI/CD pipelines and Detection as code workflow

It will be an added bonus if you have: 

• Experience building and deploying LLM-based AI agents
• Experience in transitioning from manual SOC to AI-augmented operations.
• Relevant security certifications
• Certification in cloud computing, including administration, development, engineering, or architecture.
• Knowledge of AI safety and reliability - guardrails, validation, human oversight mechanisms

The role

We are looking for a Technical Project Manager to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area.

Your responsibilities will include: 

• Management and delivery of IT infrastructure projects, change requests in data centers

• Proactively identify and manage resolution of technical and operational issues

• Managing risks and dependencies in live environments

• Maintain clear operational documentation, including plans, risk logs, and issue trackers.

• Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations.

• Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution.

• Collaborate with cross-functional teams.

• Engage directly with data center engineers, vendors, and operations teams.

• Participate in related project tasks, including automation, process improvements, and design support as needed.

We expect you to have:

• Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments.

• Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.

• Hands on experience working with IT hardware in data centers.

• Be comfortable in data center environments and during live operations.

• Experience in project delivery, team management, cross team collaboration

• Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack.

• Ability to document processes, maintain tracking systems, and produce clear deployment reports.

• Activity, responsibility and purposefulness

• Ready for occasional business trips

It will be an added bonus if you have:

• Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile)

• Relevant technical certifications 

• In depth technical knowledge of GPU servers, compute nodes, high-speed networking

The role

We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.

Your responsibilities will include

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting

• Execute workarounds and solutions for IT hardware issues

• Act as a subject matter expert and point of escalation for L1 and L2 technicians

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

• Collaborate with vendors on warranty replacements (RMA), create requests and manage.

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Skills working with the Unix/linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Skills of repairing electronics at the component level (SMD)

• Knowledge of network equipment and troubleshooting

• Driving license type B

The role

We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.

Your responsibilities will include

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting

• Execute workarounds and solutions for IT hardware issues

• Act as a subject matter expert and point of escalation for L1 and L2 technicians

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

• Collaborate with vendors on warranty replacements (RMA), create requests and manage.

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Skills working with the Unix/linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Skills of repairing electronics at the component level (SMD)

• Knowledge of network equipment and troubleshooting

• Driving license type B

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

We’re looking for an L2 IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters.

You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance.

This role requires shift work (day & night), that will be compensated.

You’re welcome to work in our office in Modiin, Israel.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

We’re looking for an L2  IT Technician with Project Management experience to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer with a focus on IT Projects and relevant activities. This role aims to provide not only support in troubleshooting of high-performance server hardware, including GPU clusters, but also implementations of additional infrastructure components on production sites.

Apart from being involved in resolution of complex hardware incidents, proactive handling of L1/L2 support via the ticketing system, you will work in collaboration with the Technical Project Manager. This role expects from candidates to have advanced technical experience in pair with some project management experience allowing to move the projects further, identify specific risks, participate in implementation with support of 3rd parties.

Your responsibilities will include

• Solve hardware related issues with servers, involving in-depth advanced level troubleshooting

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with Technical Project Manager on current projects

• Participate in technical projects implementations

• Oversee 3rd party contractor activities during project implementations

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix/Linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Basic understanding of Project Management methodologies

• Basic understanding of Project Management tools (JIRA, Gantt charts)

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Proven project management experience in IT Infrastructure domain

• Bachelor degree in Computer Science

• Driving license type B

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The role 

The Executive Support IT Engineer will provide white-glove, high-touch technical support to senior leadership, including C-level executives. This role requires a polished professional with exceptional technical expertise, discretion, and the ability to thrive in high-pressure environments with little to no direction. The engineer will serve as the primary point of contact for executive technology needs, ensuring seamless productivity, communication, and security across devices, applications, and collaboration platforms.

Note: Due to the nature of this role, there will be moments where a traditional work week or hours will not apply. We will always strive to achieve meaningful work/life balance, but that will be dictated by the needs of the given moment. A flexible schedule and the ability to travel is a necessity.

You’re welcome to work in our office in Tel Aviv.

Your responsibilities will include:

• Deliver personalized IT support for executives including; but not limited to; troubleshooting, system setup, and proactive maintenance for laptops, mobile devices, AV systems, and collaboration tools.

• Provide rapid response to critical technical issues impacting executives, ensuring minimal disruption to business operations.

• Support executive meetings and events, including video conferencing, telepresence, and boardroom AV technology.

• Maintain and configure executive devices (Windows, macOS, iOS, Android), ensuring compliance with corporate IT policies and security standards.

• Partner closely with IT leadership, security teams, and external vendors to escalate and resolve complex issues efficiently.

• Develop executive-friendly documentation and quick reference guides for common workflows and tools.

• Anticipate technology needs and proactively recommend improvements to enhance executive productivity.

• Support executive travel by ensuring mobile, remote connectivity and collaboration tools function securely worldwide.

• Handle sensitive and confidential information with the highest degree of professionalism and discretion.

It will be an added bonus if you have:

• Exhaust all possible scenarios within their access level when attempting to resolve an issue
• Proactively seek feedback from peers, mentors, and leaders
• Exhibits prideful ownership of work and proactively champions the needs of the team, users, and projects
• Contribute to continuous service improvement by participating in projects and driving operational enhancements.
• Build meaningful and fruitful relationships within the team and cross functionally
• Fearlessly seek improvement personally, within processes, and within the team’s culture

We expect you to have:

• Education: Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent experience).

• Experience: 5+ years in IT support roles, with at least 2 years supporting executives or VIPs in a corporate environment.

• Technical Expertise:

  • Strong proficiency with Microsoft 365, Exchange, Teams, Zoom, and other collaboration platforms.

  • Advanced troubleshooting skills for Windows, macOS, iOS, and Android.

  • Familiarity with AV conferencing technologies (Cisco, Polycom, Zoom Rooms, etc.).

  • Understanding of networking fundamentals (VPN, Wi-Fi, firewalls, mobile hotspots).

  • Experience with enterprise security protocols (MFA, MDM, encryption).

• Soft Skills:

  • Exceptional communication and customer service skills with a high degree of professionalism.

  • Ability to work under pressure and manage multiple priorities simultaneously.

  • Discretion and integrity when handling sensitive information.

  • Flexible and adaptable, with the ability to support executives outside normal business hours if needed.

• Key competencies:

  • High emotional intelligence and ability to work effectively with executives.

  • Strong problem-solving and critical-thinking abilities.

  • Proactive mindset with a focus on continuous improvement.

  • Commitment to confidentiality and data security.

The role 

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

As a Field Deploy Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.

You’re welcome to work in our colocation in Israel.

Your responsibilities will include: 

Planning & Coordination

• Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.

• Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.

• Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.

On-Site Delivery & Installation

• Supervise racking, cabling, and powering of hardware equipment.
• Ensure configuration, firmware upgrades, and integration with management systems follow standards.
• Work closely with vendors, contractors, and local staff during the installation phase.

Quality & Readiness

• Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
• Document installation steps, asset data, and lessons learned for future rollouts.
• Establish and maintain best practices for safe, efficient hardware deployment.

Collaboration & Reporting

• Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
• Support transition of deployed hardware to operations teams for steady-state management.
• Contribute feedback to improve hardware design and deployment playbooks.

We expect you to have: 

• 3+ years' experience in data center, hardware, or IT field delivery roles.

• Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).

• Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.

• Proven track record coordinating deployments across multiple stakeholders and vendors.

• Ability to read and interpret technical documentation, layouts, and wiring diagrams.

• Ability to perform deep diagnostics across hardware, firmware (BIOS/BMC), and Linux (logs, drivers, storage stack basics, performance triage).

• Excellent organizational, communication, and problem-solving skills.

• Willingness to travel frequently (sometimes at short notice).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).

• Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Familiarity with change management, asset tracking, and quality-assurance processes.

• Understanding of health, safety, and environmental standards in datacenter or industrial settings.

The role 

We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US.

This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement.

You’re welcome to work in our data center in Israel.

Your responsibilities will include: 

Deep Technical Investigation (Primary Focus)

• Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions).

• Detect recurring patterns across sites and convert findings into durable fixes.

• Own technical workstreams during high-severity incidents.

Vendor & R&D Collaboration

• Build evidence packs and drive escalations with ODM and R&D.

• Push for firmware, component, and platform-level resolutions.

• Track outcomes and ensure knowledge flows back to operations.

Firmware & Platform Readiness (BIOS/BMC)

• Support validation and rollout of firmware updates (risk assessment, staging, rollback planning).

• Help operationalize platform standards across datacenters.

Knowledge & Enablement

• Create scalable runbooks, troubleshooting guides, and error catalogs.

• Turn investigations into playbooks that elevate L1/L2 teams.

Hands-on Support (As Needed)

• Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment.

We expect you to have: 

• Strong hands-on experience with datacenter servers and deep Linux troubleshooting.

• Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage).

• Structured incident response experience and clear communication under pressure.

• Experience driving evidence-based escalations with vendors/R&D.

• Fluent English (written and spoken).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation).

• Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Experience supporting enterprise bare metal customers under contractual SLAs.

About the Role:

We’re a growing SaaS startup building our security team from the ground up. We’re looking for a hands-on Product Security Engineer who enjoys breaking things (responsibly) and helping teams fix them fast.

This role is very practical and impact-driven. You’ll be embedded close to the product and engineering teams, proactively attacking our own systems before anyone else does. If you like moving fast, owning problems end-to-end, and thinking like a real attacker, this role is for you.

What You'll Do:

• Actively test our SaaS product for security vulnerabilities across web apps, APIs, and cloud infrastructure.
• Perform manual security testing and targeted penetration tests (beyond automated scanners).
• Implement and help implement automated security test suites.
• Identify abuse cases, business logic flaws, and real-world attack paths.
• Work directly with engineers to reproduce issues and drive fixes.
• Help introduce lightweight security practices into the development process (threat modeling, secure design reviews).
• Validate fixes and ensure issues are fully resolved.
• Stay current on new vulnerabilities, attack techniques, and SaaS-relevant threats.

What You'll Bring:

• 5+ years of experience in application security, offensive security, or penetration testing.
• Strong understanding of web and API security (OWASP Top 10, auth, sessions, access control).
•  Experience testing modern SaaS products.
• Comfort working in cloud environments (AWS / GCP / Azure at a practical level).
• Experience with common security testing tools (Burp Suite, Nuclei, etc.).
• Ability to communicate findings clearly and pragmatically to engineers.
• Self-starter mindset — comfortable operating with limited process and high ownership.

Preferred, but not required:

• Startup experience or early-stage product exposure.
• Bug bounty or responsible disclosure experience.
• Secure code review experience (any major language).
• Familiarity with CI/CD and modern SDLC security.
• Offensive security certifications (OSCP, GWAPT, etc.).

Your Role:

• Lead the design and development of complex, high-performance, backend services within the Tenable One ecosystem, ensuring modularity and long-term maintainability.

• Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.

• Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.

• Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.

• Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.

• Take a “production-first” approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

What You’ll Need:

• BSc in Computer Science or a related degree from a recognized institution, or a strong track record in server-side development with advanced technical skills.

• 5+ years of experience in software engineering with a demonstrated ability to work on large-scale projects and solve complex technical problems.

• Proficiency in one or more modern programming languages such as Python, Kotlin, Java, Go, C#, or equivalent, with the ability to adapt to new tools and technologies.

• Strong expertise with distributed systems, cloud-native architecture (e.g., Kubernetes, microservices), and APIs.

• Hands-on experience with high-throughput date stores and messaging systems (e.g., Snowflake, PostgresSQL, Elasticsearch, Kafka or Redis).

• Experience with cloud platforms such as AWS, Azure, or GCP, with knowledge of best practices for deploying and maintaining cloud-based services.

• Strong problem-solving skills, with experience debugging and resolving production issues in complex systems.

• A proactive approach to task prioritization and a history of leading technical initiatives from conception to deployment with minimal supervision.

• Prior experience working in the cybersecurity industry or working with security-centric data pipelines and protocols is advantage.

• Bonus: Experience or familiarity with moden frontend frameworks and an understanding of how frontend applications consume and state-manage complex backend data.

Your Role:

• Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.
• Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.
• Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.
• Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.
• Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.

Your Opportunity:

• Develop critical components and systems that drive business outcomes, while maintaining and enhancing core infrastructure for scalability and reliability.
• Participate in the design and development of new features, integrations, and enhancements to software applications, databases, and interfaces.
• Support and improve automated testing and deployment processes to ensure smooth delivery of new features and system updates.
• Collaborate with other senior engineers to drive the technical direction of projects and ensure high-quality software delivery.

What You'll Need:

• BSc in Computer Science or a related degree from a recognized institution, or a strong track record in server-side development with advanced technical skills.
• 6+ years of experience in software engineering with a demonstrated ability to work on large-scale projects and solve complex technical problems.
• Proficiency in one or more programming languages such as C/C++, C#, Java, Go, or Python, with the ability to adapt to new tools and technologies.
• Solid experience building scalable, distributed systems with an understanding of microservices architecture and API design.
• Experience with cloud platforms such as AWS, Azure, or GCP, with knowledge of best practices for deploying and maintaining cloud-based services.
• Strong problem-solving skills, with experience debugging and resolving production issues in complex systems.
• Ability to prioritize tasks, manage workload efficiently, and contribute to the technical growth of the team.

#LI-VA1 #LI-Office

Location: Kfar Sava, IL (hybrid)

ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. 

Simply put, wherever you find small businesses, you’ll find ERGO NEXT.

Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.

We’re looking for an experienced and unstoppable Salesforce Developer to join our team! In this role, you will lead and deliver efficiency-driving projects for our Salesforce users via Apex code, Lightning Web Components, Flows, and more. You will take our SaaS application stack to the next level via integrations, environment management, scalable architecture, and onboarding new technology. Working independently, with teammates, and cross-functionally, you will be a key player in how we reach our aggressive goals, all while maintaining the highest standards of communication, planning, documentation, and accountability. If this sounds like the challenge you’ve been looking for, we’d love to hear from you!

What You’ll Do: 

• Work directly with stakeholders and end-users to understand, plan, and prioritize projects
• Follow an agile but robust process for developing out-of-the-box and custom Salesforce solutions
• Contribute your expertise to design discussions, quarterly planning, troubleshooting, and more
• Respond quickly and effectively to bugs or adverse events in our environments, addressing root causes
• Step outside of Salesforce to contribute on or lead other information system initiatives where appropriate
• Continuously apply and expand your knowledge about NEXT as a business

What We Need: 

• 5+ years of Salesforce development experience, including Apex, LWC, Aura, Flow, etc.
• Experience with Sales Cloud
• Impeccable code quality, stability, readability, and efficiency
• Proven record of initiating, designing and implementing projects that focus on improving operational processes and future development potential
• A people person, a proficient problem solver, someone who quickly adapts to new technologies
• Strong leadership and ownership capabilities, and the ability to work independently
• Flexible skillset and mindset, always willing to try a new technology or approach
• Ability to thrive in a global, competitive company where priorities can change suddenly

Unstoppable Qualities: 

• Experience working in legacy code environments
• REST API and integration experience (Workato, Dell Boomi, Mulesoft, etc.)
• AI enthusiast. Experience using Cursor or other AI tools a plus
• Thinks like a QA engineer and develops ways to test code exhaustively, but quickly
• Builds quality work and quality relationships

As a Senior Back-end engineer you will be building SentinelOne’s next-generation cloud-based security platform and are looking for a strong backend software engineer. You’ll enjoy building systems from the ground up, working hands-on in complex, large-scale environments, and taking ownership to drive solutions forward.

What will you do?

• The Collection team leads projects that directly impact the company's bottom line, focusing on areas such as remote operations, EDR, and XDR. Our initiatives start from concepts and evolve into products deployed across millions of endpoints and servers
• This multidisciplinary team comprises experts in backend, frontend, and endpoint technologies (Windows, Linux, Mac), enabling us to independently ideate, develop, and deliver solutions at scale.
• As a Senior Backend Engineer, you will implement innovative projects from inception to implementation, shaping the architecture, design, and development of new modules within our comprehensive security platform. Operating across multiple strategic product lines, you’ll have a direct and visible impact on the success of key company initiatives.

What skills & knowledge should you bring?

• 5+ years of backend development.
• Experience with high-performance micro-services-based backend systems.
• Proficiency in at least one of the following programming languages in a backend environment: Python \ Go. 
• Experience developing cloud-native solutions and data pipelines.
• Experience working with databases (both SQL and NOSQL).
• Experience working with Dockers and Kubernetes.
• Experience with AWS, GCP or other cloud platforms.
• Strong capability to design a solution according to product requirements.
• Great communication skills and ability to work in hybrid and\or remote teams and lead projects.
• Proven experience with developing unit\component tests as part of the development process.

Any of these would be an additional plus:

• Experience working with Kafka ecosystem (pub/sub, Kafka connect, etc.).
• Experience with large scale management systems and performance.
• Experience with Terraform / Terragrunt.
• Experience with Rust, C++, Java, C# or Similar.

Why us?

We are at the forefront of the most dominant space of the Cyber Security market. You'll be working closely with some of the best researchers on the planet on the most innovative and challenging features that will shape the future of Cyber Security. You will be part of a truly global team that is rapidly growing around the world, on an amazing journey of success. You will work with great people in an open, fun environment, and you will be part of an organization that truly values its people.

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Back-End Engineer, you will be tasked with building backend infrastructure for a new AISPM product, focused on monitoring AI assets, assessing risks, and delivering actionable insights. You will work in a fast-paced, innovative environment that requires agility, adaptability, and continuous iteration. Your work will also include enforcing security policies and ensuring safe, compliant AI deployment while contributing to the future of cybersecurity.

What Will You Do?

Primary responsibilities include:

• Design, develop, and maintain scalable server-side applications and APIs.
• Implement and optimize database schemas, queries, and data storage solutions.
• Collaborate with frontend developers to integrate user-facing elements with server-side logic.
• Participate in code reviews and contribute to architectural decisions.
• Troubleshoot, debug, and upgrade existing systems.
• Implement security and data protection measures.
• Work with cloud services (e.g. AWS, Azure, or GCP) to deploy and manage backend services.
• Contribute to the development of microservices architecture.
• Stay updated with emerging backend technologies and industry best practices.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 5+ years of Backend development experience in Node.js and Typescript
• Database Management
• API Development and Integration with experience designing and building RESTful APIs along with familiarity with GraphQL is a plus
• Experience in designing and implementing microservices
• Scalability and Performance Optimization - Understanding of caching strategies and message queues and experience with large-scale, distributed architectures
• Experience implementing authentication, authorization, and data protection mechanisms
• Excellent problem-solving skills and attention to detail
• Proactive attitude and ability to thrive in a dynamic startup environment
• Communication and collaboration skills

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Platform Engineer, you will be tasked with leading the design and development of a unified, scalable Developer Platform, building secure APIs and infrastructure using modern DevEx and CI/CD practices, and collaborating across teams to drive innovation in a global, high-scale environment.

What will you do?

Primary responsibilities include: 

• Help create the Future: Dive deep into our current developer platform, identify pain points, and design innovative solutions to address them in an iterative way toward a shared vision. Participate in design and development of a new architecture that supports scalability, maintainability, and operational excellence.
• Modernize the Stack: Collaborate with architects and teams to evaluate and implement the right tools, frameworks, and methodologies for building a robust, user-centric developer platform.
• Hands-on Development: Write high-quality, production-ready code.
• Mentor and Lead: Guide and mentor other engineers, contribute to their professional growth, share best practices and architectural insights, and foster a culture of engineering excellence. Your involvement increases the overall quality, whether you wrote it directly, reviewed it, or had a hand in designing it.
• Collaborate Across Teams and Orgs: Partner with engineering, architects, product, design, quality, DevOps / Infra teams, and leadership to align on objectives, design, timelines, and execution strategies.

Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana

What Skills and Knowledge Will You Bring?

Ideal candidates will have: 

• Expertise in Developer Platform / DevEx fundamentals and infrastructure platform services design
• Proficiency in Golang, experience with Python is a plus
• Deep proficiency in CI/CD pipelines and tooling (e.g., GitHub Actions, ArgoCD, Jenkins) in large-scale environments
• Extensive experience with cloud platforms (AWS and/or GCP) and Kubernetes
• Excellent problem-solving skills
• Strong ownership and accountability, with proven experience driving large, impactful projects
• Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones

Why Us? 

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior QA Automation Engineer - GenAI Endpoint Security, you will build and maintain robust automated test suites in Python and Node.js while performing strategic manual QA for the Sensors team. You will ensure the bulletproof quality of endpoint agents and browser extensions designed to secure the industry’s leading Generative AI tools. By validating seamless compatibility and testing software distribution across various MDMs, you will provide comprehensive coverage for the critical components protecting the modern AI-driven enterprise.

What will you Do?

• Build and maintain automated tests across APIs, endpoint agents, and browser extensions
• Validate Generative AI application compatibility with our security products
• Perform manual QA with a clear, automation-first mindset
• Test our software distribution across MDMs
• Ensure strong coverage of critical components and close testing gaps
• Work closely with development to continuously improve product quality and delivery

What Skills and Knowledge Will You Bring?

• Proven experience as a Senior QA Automation Engineer
• Strong coding skills-  Node.js/Python is our primary stack
• Hands-on experience testing networking products with a balance of manual and automatic testings 
• Strong debugging skills and ability to triage complex issues
• Experience building CI pipelines (e.g. GitHub Actions)
• Self-driven, proactive, and curious with strong ownership and accountability
• Experience testing Generative AI systems or agents
• An AI engineering first approach
• Background in OS internals (MAC, WIN), system administration
• Experience testing endpoint agents and/or browser extensions

Why us?

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will design and implement low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for SentinelOne’s next generation of data-centric security.

What will you do?

• Design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
• Research and evaluate technologies for building high-fidelity sensors that track data access.
• Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
• Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.

What Skills and Knowledge Will You Bring?

• 4+ years of experience as a low-level software engineer, building complex systems in modern C++\C.
• Hands-on experience with system-level development, debugging tools, and performance profiling.
• Deep OS Expertise, with strong knowledge of operating system architecture and internals (Windows, Linux, and/or macOS).
• A proven track record of shipping production-quality code to large-scale deployments, ensuring reliability across diverse environments and collaborating with multiple stakeholders.

It’d be great if you have experience with / or You’d learn & gain on our team:

• Security Domain Expertise
• Technical leadership experience
• Exposure to a multi-stack environment, working across agent, backend, and frontend systems.

Why us?

We are at the forefront of the most dominant space of the Cyber Security market. You'll be working closely with some of the best researchers on the planet on the most innovative and challenging features that will shape the future of Cyber Security. You will be part of a truly global team that is rapidly growing around the world, on an amazing journey of success. You will work with great people in an open, fun environment, and you will be part of an organization that truly values its people.

• • Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
  • Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
  •  RSUs- 4 years vesting with 1-year cliff and then quarterly.
  • Annual bonus (depending on the performance of the company) paid out in 2 cycles
  • Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
  • Company time off and holidays
  • Private medical insurance
  • Meal allowance
  • Home office allowance
  • Hybrid work model- The possibility of working both from the office and working from home
  • Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
  • Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
  • Free Parking in our office building 
  • Music Room fully equipped room
  • Wellness- workout sessions and a wellness app

As a Senior Software Engineer - C++ Linux & Cloud Workload Runtime Security, you will design and develop end-to-end detection capabilities to identify and defend against attacks on Linux servers, Kubernetes, and containerized environments. You will work on low-level kernel hooks, detection engines, and system-level challenges to deliver scalable security solutions at the runtime level. By collaborating on architecture, design reviews, and proof-of-concepts, you will continuously apply the latest Linux and cloud security technologies to protect mission-critical workloads.

What will you do?

The role includes end-to-end responsibility for new detection capabilities, starting from researching the landscape of new Linux/Containers related security technologies through designing detection strategies and algorithms and delivering them at scale. You will work on low-level Kernel hooks to complicated detection engines and pure system engineering challenges. Your deliveries will enhance the security of different Linux and cloud workloads platforms protected by our product, that serves thousands of users (from enterprise & public sector clients across the globe, incl. some of the largest companies globally).

What your role will look like:

• Software Development (70-80% of time)
• Conduct low level research and Design of new features
• Peer code reviews; Participate in team’s design reviews
• Teamwork
• Learn new technologies in the Linux and Cloud workloads security domains
• Architect end-to-end security solutions for complex features with loose problem definition
• Modeling and POC of solutions for complex problems
• Support customers with issues and requests within the team’s domain

What skills & knowledge should you bring?

• 5+ years of experience as a software engineer, developing complex systems in modern C++ 
• Proficient in Linux OS architecture, security, and internals.
• Hands-on experience with Linux low-level development and debugging.
• Previous experience of working on a production-grade product with a large-scale deployment.

It’d be great if you have experience with:

• Linux kernel development or kernel tracing
• Hands-on experience with eBPF
• Container internals, platforms, and orchestrators such as Docker and Kubernetes.
• Linux networking subsystem
• Software development in either Rust, Go, or  Python.

Why us?

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
• RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

What are we looking for?

We are seeking a highly skilled and passionate Software Engineer with a background in low-level programming and a strong understanding of complex infrastructure to join our Detection Infra team. 

What will you do?

As a new member of our development team, you will work in the user mode of our Windows EDR product and handle a wide range of tasks. 

You will have the chance to design, develop primarily in modern C++ (23), test, and debug the most complicated real-world problems. 

Our team designs and executes significant new features, as well as rewrites and reimplements the existing ones from scratch. You will also face extraordinary stability & optimization challenges given the scale of our agents.

Your work will influence the security of tens of millions of Windows devices that we protect at enterprise & government customers across the globe (incl. 5 of Fortune 10 and hundreds of Global 2000).

What skills & knowledge should you bring?

• 3-5 years of Experience in C/C++.
• Computer science or Software engineering graduate from one of the leading universities or equivalent experience.
• In-depth knowledge of operating systems and concepts.
• Strong debugging and troubleshooting skills.
• Solid system design and architecture skills.
• Great communication and teamwork skills.
• Ownership to lead the field to any milestone and drive a feature from planning to development and unit-testing.
• Previous experience with security-oriented development or related fields – an advantage.

Why Us? 

You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry.

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Windows Kernel Engineer - Windows Endpoint, you will be tasked with working on our Windows EDR product and handle a wide range of tasks. You will have the chance to design, develop primarily in modern C++ (23), test, and debug the most complicated real-world problems.

What Will You Do?

Primary responsibilities include:

Our team designs and executes significant new features, as well as rewrites and reimplements the existing ones from scratch. You will also face extraordinary stability & optimization challenges given the scale of our agents. Your work will influence the security of tens of millions of Windows devices that we protect at enterprise & government customers across the globe (incl. 5 of Fortune 10 and hundreds of Global 2000).

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 3-5 years of Experience in C/C++.
• Computer science or Software engineering graduate from one of the leading universities or equivalent experience.
• In-depth knowledge of operating systems and concepts.
• Strong debugging and troubleshooting skills.
• Solid system design and architecture skills.
• Great communication and teamwork skills.
• Previous experience with security-oriented development or related fields – an advantage.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will design and implement low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for SentinelOne’s next generation of data-centric security.

What will you do?

• Lead, design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
• Research and evaluate technologies for building high-fidelity sensors that track data access.
• Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
• Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.

What Skills and Knowledge Will You Bring?

• 7+ years of experience as a low-level software engineer, building complex systems in modern C++\C.
• Hands-on experience with system-level development, debugging tools, and performance profiling.
• Deep OS Expertise, with strong knowledge of operating system architecture and internals (Windows, Linux, and/or macOS).
• A proven track record of shipping production-quality code to large-scale deployments, ensuring reliability across diverse environments and collaborating with multiple stakeholders.
• Security Domain Expertise
• Technical leadership experience
• Exposure to a multi-stack environment, working across agent, backend, and frontend systems.

Why us?

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
• RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building
• Wellness- workout sessions and a wellness app

Now we’re looking for a visionary Automation Engineer to join our Automation teams. As a member of this team, you will be responsible for the design, implementation, and maintenance of Automated tests. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, Users authentication scenarios and mobile applications interacting deeply with the operating system. 

Responsibilities 

• Design and develop automation solutions for mobile applications, including end-to-end scenarios across backend, network, and device layers  

• Build, configure, and maintain mobile testing environments (emulators, simulators, and physical devices), including CI-integrated mobile labs  

• Develop automation for applications that integrate with mobile OS capabilities (e.g., VPN configuration, system extensions, network controls, background services) 

• Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation 

• Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution 

• Cope with complex code along with quality standards and best practices. 

• You will be expected to come up with initiatives regarding Automation infrastructure and tools. 

• You will work with other Automation teams, as part of cross-teams Automation efforts to achieve code reuse and unified standards in code, tools, and processes. 

• You will take part in planning and implementing non-functional testing aspects of product management modules. 

• Collaborate with development and product teams to ensure high-quality delivery of mobile and networking features 

Requirements 

• 5+ years of experience implementing automated tests for multi-layered products 

• Strong coding skills in Java/Phyton or another object-oriented language  

• Hands-on experience with mobile testing (iOS and/or Android)  

• Experience with mobile automation frameworks (Appium, Espresso, XCUITest, or similar)  

• Experience testing applications with deep OS integration (e.g., VPN, networking, system extensions)  

• Experience building and maintaining mobile test environments (emulators, real devices, CI integration)  

• Practical experience using AI-based tools to improve software development or test automation workflows (e.g., test generation, code assistance, failure analysis, or test optimization) 

• Strong debugging and troubleshooting skills  

• Ability to work independently and drive tasks end-to-end 

• Experience with device farms or cloud-based mobile labs  

• Knowledge of networking protocols (TCP/IP, DNS, HTTP, TLS, etc.)  

• Experience with VPN clients, proxies, or endpoint security solutions  

• Experience with CI/CD tools (Jenkins, Git)  

• Experience with ESX / virtualization 

DevOps Infrastructure Engineer

 We are seeking a skilled and motivated DevOps Infrastructure Engineer to join our DevOps Infra team. Our team is responsible for managing and evolving the cloud-native infrastructure that powers our microservices architecture. Core responsibilities span our EKS-based Kubernetes platform, ArgoCD-driven GitOps pipelines, infrastructure observability, Helm-based deployments, and mission-critical web services running on AWS.

We are looking for a DevOps engineer who can hit the ground running, take ownership of critical infrastructure components, and contribute meaningfully from day one. The ideal candidate brings deep Kubernetes expertise, strong hands-on experience with observability tooling, and the maturity to work independently.

In this role, you will be responsible for:

• Managing and evolving our EKS-based Kubernetes platform and Helm-based deployment pipelines                                                                                                                                                                            
• Owning and maintaining GitOps workflows using ArgoCD, including troubleshooting sync and rollout issues                                                                                                                                                                                                                                                                                                                          
• Designing, building, and maintaining observability solutions using Prometheus, VictoriaMetrics, and Grafana
• Writing and maintaining infrastructure as code using Terraform, including modules, remote state, and CI/CD automation                                                                                                                                                                                                                                                                                                            
• Taking full ownership of AWS infrastructure components — including networking, compute, IAM, and storage - ensuring reliability, security, and operational excellence across environments
• Collaborating with developers and SREs to support reliable, scalable, and secure AWS infrastructure                                                                                                                                                                                         

About you 

•  3-4 years of hands-on experience in DevOps or infrastructure engineering roles.                                                                                                                                                                                                          
•  Deep expertise in Kubernetes and Helm, including production-grade deployments and live incident troubleshooting. 
•  Strong proficiency in Terraform or equivalent IaC tooling                                                                                                                                                                                                                           
•  Solid working knowledge of AWS core services (EC2, IAM, S3, VPC, CloudWatch, EKS).     
• Practical experience with Prometheus, VictoriaMetrics, Grafana, and alerting stack design.               
• Proven ability to work independently, take ownership end-to-end, and communicate effectively across engineering teams.
• Agentic DevOps experience working with common AI assistant tools, MCPs and Agents.                                                                                                                                                                                                 

Advantages

•  Experience with cloud cost optimization strategies and tooling. 
•  Background in cloud-native security practices (RBAC, policy enforcement,SSL, MTLS etc).
• Prior involvement in designing or operating high-availability, fault-tolerant systems.        
•  Experience with nginx and IIS web servers.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

Tech at Tipalti

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

About Our Tel Aviv Offices

Hybrid Work Model - Tipalti offers a hybrid work model, with two days per week working from home and three days per week from our beautiful offices in North Tel Aviv.

Shuttle Services - Shuttle services are available from the nearest train station and across Tel Aviv to the office.

Parking - Parking is available for all employees.

Snacks & Treats - Enjoy a selection of snacks and treats available on every floor.

#LI-Hybrid

The Israeli Solutions Engineering team are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates who are able to work in close partnership with the sales team to progress opportunities toward successful conclusion.

We believe in Okta’s Solutions Engineers empathise with existing and prospective customers to quickly discern the true technical needs in the context of their business, by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilise both. As a Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using the Auth0 Identity Platform.

What you’ll be doing:

• Comprehensive discovery. Understanding the requirements of customers and prospects in the context of their desired business outcomes.
• Deal progression. Working in close partnership with the sales team to progress opportunities.
• Manage technical sales progression from discovery to technical win.
• Building sales presentations, product demonstrations and educating customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.
• Have a hands-on approach to solution validation, such as building and delivering. custom demonstrations, supporting customer-led PoCs etc.
• Empathising with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs.
• Using your technical savviness and business insights. As a Sales Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using Auth0.
• Maintain a broad and deep technical understanding of the Auth0 product line and the underlying technologies and protocols.
• Proactive engagement in local and regional sales and marketing events

What you’ll bring to the role:

• Experience working in a Pre-Sales role as Sales Engineer or Solutions Engineer.
• An ability to quickly articulate complex ideas around a technical topic, ideally on the fly at a whiteboard.
• Experience in a customer-facing role such as consulting, support, teaching, or pre-sales.
• Experience with at least one standard identity protocol (e.g. OIDC, OAuth2, SAML, LDAP).
• Strong development background with proficiency in at least one backend stack (e.g., Java, C#, Node.js, Python, PHP, Ruby) and a popular frontend stack (e.g., React, Angular, Vue).
• Experience working with REST APIs and SDKs.
• An understanding of core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Excellent communication skills and an ability to articulate business value.
• An ability to disperse knowledge to a highly skilled and experienced audience.
• A natural at building relationships, listening, and managing time well.
• Enjoy traveling and meeting customers.
• Bonus points if you have experience in any of the following!
• Experience with Identity & Access Management, Single Sign-on and API-based solutions
• An understanding of Agentic AI and the role that Identity plays in enforcing continuous oversight
• Experience in mobile (iOS, Android) development
• Experience working with HTTP, HTML, and REST services. This includes using the dev tools in a browser to explain HTTP traffic and an HTTP client (like curl or Postman) to interact with an HTTP service.

The role is based in Tel Aviv and the expectation will be that you will spend 2-3 days a week either meeting with prospective customers, existing customers, or collaborating with the team in the Office.

#LI-Hybrid

#LI-JB2

P14647_3354411

The Identity Security Posture Management (ISPM) Team

At ISPM (previously known as Spera), we are revolutionizing the field of identity security, providing comprehensive solutions to address the challenges faced by modern organizations. Our platform provides security leaders with end-to-end contextual visibility of their identity landscape, reducing risks, enhancing operational efficiency, and ensuring compliance. 

With an exceptional team dedicated to pushing boundaries and achieving remarkable results, we are seeking a talented engineer to join us in shaping the future of identity security.

This role requires working from the office four times a week.

What you’ll be doing

As a Staff Software Engineer at ISPM, you will play a critical role in building our platform. Your expertise and contributions will have a direct impact on the success and effectiveness of our product. Specifically, your responsibilities will include:

• Lead, design, architect and build high-quality scalable software by introducing best practices around software engineering architecture and processes
• Raise the bar on engineering excellence by improving standard methodologies, producing best-in-class code, documentation, testing, and monitoring
• Collaborate with product and R&D engineers to translate product requirements into technical solutions.
• Identifying and resolving technical issues and performance bottlenecks.
• Staying up to date with the latest industry trends and technologies to continuously improve our products.
• Be a mentor for colleagues and help promote knowledge-sharing

What you’ll bring to the role

• 8+ years of experience as a software engineer, preferably in a fast-paced environment.
• 5+ years of programming experience with Python, specifically focused on backend development.
• A proven track record of successfully building and delivering large-scale systems.
• Solid understanding of software engineering principles, design patterns, and best practices.
• Excellent problem-solving skills and a detail-oriented mindset.
• Strong communication and collaboration abilities to work effectively within a team.

Extra credit if you have experience in any of the following

• Experience with Snowflake or other data warehousing platforms.
• Experience with Amazon Web Services and modern cloud stack.

So, what’s the role all about?

As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline — from requirement ingestion to autonomous deployment — is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.

How will you make an impact?  

Agentic Quality Architecture

• Design the end-to-end quality architecture for agentic SDLC pipelines — spanning requirement analysis, code generation, test creation, execution, triage, and release gates
• Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
• Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
• Establish trust and verification models for agent-produced artifacts — test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
• Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation

AI-Native Test Engineering Platform

• Design and own the LLM-powered test generation platform — from natural language requirement ingestion to executable, maintainable test output
• Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
• Build the self-healing test infrastructure layer — agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
• Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
• Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact

Quality Gates in Autonomous Pipelines

• Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD — gates that reason about risk, not just pass/fail thresholds
• Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
• Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
• Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
• Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation

AI Model & Agent Validation

• Build behavioral testing frameworks for validating AI agents and LLM-powered features in production — testing non-deterministic outputs with statistical rigor
• Design evaluation benchmarks for internal AI tooling: measuring agent task completion accuracy, hallucination rates, context retention, and decision quality over time
• Architect drift detection systems that identify when agent behavior changes between model versions, prompt updates, or context window shifts
• Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation under distribution shift
• Partner with ML platform and data science teams to establish quality acceptance criteria for every model and agent promoted to production

Have you got what it takes?

• 12+ years in software engineering with strong depth across both development and quality engineering
• 4+ years as a hands-on principal architect or distinguished engineer with cross-org technical scope
• Demonstrated experience designing quality infrastructure used at scale — 50+ engineers, high-velocity pipelines, enterprise SLAs
• Direct production experience building or operating systems that incorporate LLMs or AI agents — not evaluations, but shipped systems
• Background in large-scale CI/CD architecture and the performance engineering domain
• Enterprise SaaS or platform engineering background; familiarity with regulated, high-uptime environments strongly preferred

Agentic AI & LLM Proficiency

• Deep, hands-on understanding of agentic AI patterns: tool use, multi-agent orchestration, planning loops, memory architectures, and human-in-the-loop design
• Expert-level prompt engineering including chain-of-thought, few-shot, RAG, and structured output techniques applied to code and test generation
• Experience designing evaluation harnesses for non-deterministic AI systems — statistical confidence, behavioral consistency, and regression detection
• Familiarity with agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or equivalents) and their tradeoffs in production quality pipelines

Technical Depth

• Expert in Python and TypeScript; proficient in at least one compiled language (Java, Go, C#)

• Strong CI/CD architecture skills: Jenkins, GitHub Actions, pipeline-as-code, artifact management

Leadership & Influence

• Proven ability to drive technical consensus and architectural adoption across multiple teams without direct authority
• Exceptional written communication — your ADRs, RFCs, and design docs set the standard others follow
• Effective technical mentor to senior and staff engineers; you expand the thinking of those around you
• Comfortable and credible presenting to VP and C-level stakeholders; you make complex architecture legible to executives

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10833
Reporting into: Senior Director, Engineering, CX
Role Type: Individual Contributor

#LI-Hybrid

Optimove is redefining the customer relationship management landscape, and we're building the foundational data platform that powers everything we do. We are looking for a passionate and experienced Data Platform Product Team Leader to own and lead the strategic direction of Optimove's Data Platform product team.

This is a rare dual role — a hands-on product leader who both manages a team of 2-4 Product Managers and directly drives product work across several engineering teams. You will lead the full lifecycle of the data layer that underpins Optimove: from how data flows in, through identity resolution and real-time event processing, to data activation for segmentation, sharing data back to clients, and building predictive behavioral models on top of it. Your work touches every team in Optimove and every customer we serve.

What You'll Own

The Data Platform team covers a wide and critical product surface:

• Data Ingestion — how customer data flows into Optimove from various sources, including batch and real-time event streams, to build a near-real-time single customer profile
• Identity Resolution & Matching — connecting fragmented customer identities into unified profiles at scale
• Data Activation — powering Optimove's segmentation engine with fast, reliable access to customer data
• Data Sharing — exposing enriched data back to clients via APIs, exports, and integrations
• Predictive Modeling — building behavioral and predictive models that drive intelligent marketing decisions

What You'll Do

Leadership & Management

• Lead, mentor, and grow a team of 2–4 Product Managers, setting a high bar for product craft, discovery, and execution
• Build a strong team culture with clear ownership, accountability, and a bias for impact
• Set the overall vision, strategy, and roadmap for the Data Platform — and ensure each PM on your team drives their area forward with clarity and urgency
• Represent the Data Platform as a cross-functional partner to engineering leadership, GTM, and executive stakeholders

Hands-On Product Work

• Personally own product strategy and execution for one or more engineering teams within the Data Platform domain
• Lead deep discovery work — from customer interviews and data analysis to technical deep-dives with engineering and architecture teams
• Translate complex infrastructure, big data, and platform challenges into clear product requirements, KPIs, and roadmaps
• Drive cross-functional alignment across all teams that depend on or consume the Data Platform

Technical & Platform Leadership

• Champion system-level thinking: scalability, reliability, data quality, and low-latency performance
• Work closely with engineers and architects on high-scale, distributed, event-driven systems
• Balance platform-level (internal) needs with customer-facing UI/UX aspects of data products
• Stay current on industry trends in CDPs, data infrastructure, identity resolution, and real-time analytics

What We're Looking For

• 8–10+ years of overall industry experience, with at least 5–7 years in B2B Product Management, ideally in SaaS, data platforms, CDPs, or infrastructure products
• 1–2+ years of people management experience — you've mentored or managed PMs and know how to grow product talent
• A seasoned product professional who brings both domain depth (data infrastructure, big data, platform engineering) and the organizational maturity to lead a team, influence across the company, and earn the trust of senior engineering and business stakeholders
• Strong technical background — comfortable engaging with engineering on event streaming, real-time processing, distributed systems, data pipelines, identity resolution, and APIs
• Deep passion for big data infrastructure, platform-level products, and the challenges of building systems used by many consumers simultaneously
• Experience owning complex backend or platform-level products with both internal-platform and customer-facing dimensions
• Exceptional Product Discovery skills — you turn ambiguous, hard problems into structured, validated product directions
• Track record of cross-functional leadership — you align diverse stakeholders and drive outcomes without always having direct authority
• Self-driven, intellectually curious, and motivated to operate in both a leadership and a hands-on capacity simultaneously

Advantage

• Previous experience as an engineer or architect

Why Join Us?

This is one of the highest-leverage product roles at Optimove. The Data Platform is the engine everything else runs on — and you will define its future. If you love building at scale, thrive on technical depth, care deeply about your team, and want a role where your work shapes every product and every customer experience across the company — let's talk.

We’re looking for a passionate and creative Software Engineer with a strong data-driven mindset and around 4 years of experience to join our team. In this role, you will contribute to developing our cloud-based personalized networking and security management solutions, as well as building scalable systems for processing and analyzing data across multiple networks.

Responsibilities:

• End-to-end development, from processing large-scale data to building intuitive web interfaces
• Designing and implementing data pipelines, analytics, and insight-driven features
• Developing backend services with a focus on performance and scalability using C/C++ and Python
• Contributing to frontend development and overall system integration
• Implementing and testing network security enterprise solutions
• Conducting research and prototyping new features and product ideas
• Exploring new technologies and integrating them into the product
• Driving a data-driven approach to product and engineering decisions

Requirements:

• 4+ years of software development experience
• Strong programming skills in C, C++, and Python – Must
• Familiarity with Java (server-side development experience is a plus)
• Experience designing and developing scalable systems and services
• Strong data-driven mindset with experience analyzing large datasets
• Experience with data processing, pipelines, or data-intensive applications
• Familiarity with relational and NoSQL databases (e.g., MySQL, Redis, Elasticsearch)
• Familiarity with cloud platforms (preferably AWS) – Advantage
• Experience with data analysis tools/frameworks (e.g., Python, SQL, Spark) – Advantage
• Experience with modern web technologies (e.g., React, TypeScript) – Advantage
• Strong problem-solving skills and ability to work independently
• Team player with excellent collaboration and communication skills
• Fast learner with the ability to quickly adapt to new technologies
• BSc. in Computer Science or equivalent