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

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.

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

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.

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 

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 

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 Product 

Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises. 

We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs. 

Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases. 

 About the Team 

We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems. 

While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the  space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges. 

Technology & Environment 

Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research. 

The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability. 

What We’re Working On 

• Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability  

• Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations  

• Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements  

• Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features  

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.

Why It’s Interesting 

This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments. 

The role

Nebius is looking for a Senior Data Scientist to build and deploy time series forecasting and classical machine learning models that support core business planning and operational decisions. You will own problems end-to-end, from data exploration and feature engineering to model deployment and monitoring, working with large-scale, real-world datasets.

The role emphasizes strong statistical thinking, robust modeling, and production reliability over experimentation with trendy frameworks. Your work will directly impact forecasting accuracy, resource planning, and key business metrics.

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

Your responsibilities will include: 

• Time series forecasting. Design, build, and maintain forecasting models (e.g., demand, usage, capacity). Evaluate performance using appropriate metrics and improve accuracy over time.
• Classical ML modeling. Develop and deploy models using regression,Binary classifcatiom ,  tree-based methods, and other well-established approaches where they provide the best trade-off between performance, interpretability, and maintainability.
• Feature engineering & data preparation. Build robust pipelines for data cleaning, transformation, and feature generation (including time-based features, seasonality, and external signals).
• Model evaluation & monitoring.Define evaluation frameworks, backtesting strategies, and monitoring to ensure models remain stable and reliable in production.
• Production & MLOps. Deploy models into production environments, collaborate on pipeline orchestration, and ensure reproducibility and version control.
• Exploratory analysis. Analyze large datasets to identify patterns, anomalies, and drivers of change in time-dependent behavior.
• Stakeholder collaboration. Work closely with business and product teams to define forecasting needs, align on success metrics, and translate model outputs into actionable insights.
• Cross-domain contribution. Contribute to adjacent data science areas (e.g., LLM-based systems) as needed, ensuring shared ownership and continuity across team responsibilities.

We expect you to have: 

• Experience as a data scientist working in production environments (5+ years).
• Experience with time series modeling and forecasting techniques.
• Experience building reliable data pipelines and working with large datasets.
• Experience with modern data science tools and ecosystems using Python (e.g., NumPy, Pandas, Scikit-learn, deep learning frameworks).
• Strong SQL skills and experience working with large datasets.
• Strong foundation in statistics and machine learning fundamentals.
• Background in Computer Science, Statistics, Mathematics, Industrial Engineering, Economics, or a related field (Master’s degree or equivalent).
• Demonstrated ability to take models from idea to production and ensure ongoing value.
• Demonstrated ability to apply structured thinking and robust evaluation in forecasting problems.
• Strong communication skills and ability to explain model outputs, uncertainty, and limitations.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience working in cloud environments (preferably Azure).
• Experience with MLOps tools and production model lifecycle management.
• Experience with workflow orchestration tools such as Apache Airflow.
• Familiarity with LLM-based systems (e.g., evaluation, RAG pipelines) in applied settings.

The role

Nebius is looking for a Senior Data Scientist (Applied AI / LLM) to design, build, and deploy production-grade AI systems based on large language models. You will focus on turning LLM capabilities into reliable, measurable business solutions, while also contributing to predictive modeling across different business domains.

Your work will include building evaluation frameworks, improving model accuracy, and developing agent-based systems that automate analytical and data workflows (e.g., data quality monitoring). The role emphasizes production readiness, robustness, and real business impact—not experimentation.

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

Your responsibilities will include: 

• LLM system development. Design and deploy LLM-based solutions (e.g., RAG pipelines, agent workflows) for real business use cases.
• Evaluation & reliability. Build evaluation frameworks to measure accuracy, consistency, and failure modes of LLM systems. Continuously improve performance based on real-world usage.
• Agent-based automation. Develop agentic solutions to automate workflows such as data quality checks, anomaly detection, and reporting.
• Applied predictive modeling. Apply classical ML and statistical methods to business domains such as HR and Finance (e.g., forecasting, classification, risk modeling).
• Production & MLOps. Deploy and maintain models in production, ensuring monitoring, versioning, and scalability.
• Stakeholder collaboration. Translate business needs into AI/ML solutions and communicate trade-offs, risks, and performance clearly.
• Cross-domain contribution. Contribute to adjacent areas (e.g., forecasting models) to ensure team redundancy and shared ownership of critical workflows.

We expect you to have: 

• Experience as a data scientist or applied ML practitioner (5+ years).
• Experience building and deploying LLM-based systems in production.
• Experience working in production environments with model monitoring and iteration.
• Experience with modern data science and ML ecosystems using Python.
• Experience working with large datasets and strong SQL skills.
• Understanding of LLM evaluation, prompt design, and system behavior.
• Strong foundation in statistics and machine learning fundamentals.
• Demonstrated ability to deliver production-grade AI systems end-to-end.
• Demonstrated ability to translate business needs into AI/ML solutions and communicate clearly.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

•  Experience with RAG architectures and retrieval systems.
• Experience designing or working with agent-based workflows.
• Experience with MLOps tools and production ML systems.
• Experience working in cloud environments (preferably Azure).

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

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 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++ 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

About the role:

As a Fraud Analyst at Forter, you will be responsible for one of the most critical assets in the company: maintaining the accuracy, reliability, and performance of what is widely considered the leading e-commerce fraud decisioning system in the industry.

You will be expected to think analytically and creatively, constantly improving how we identify fraud and protect legitimate customers. Your work will focus on solving real and evolving business challenges faced by some of the world’s largest and most advanced online retailers. In this role, you will also have direct exposure to key customers, providing analytical insights and helping tailor solutions to their specific needs.

This position has strong technical and analytical depth, but prior coding experience is not required. We believe great analysts can learn the technical tools they need as part of the role through structured training and hands-on work. We hire across multiple levels and adjust the scope and level of ownership based on what we learn during the interview process.

You will join a dynamic, high bar department with a strong culture of excellence, curiosity, and ownership. We work in an informal and collaborative environment where people learn fast and ideas matter. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial roles, allowing you to shape your career based on your strengths.

Your work will directly impact Forter’s product, protect millions of customers, and help shape the future of trust in digital commerce.

What you'll be doing:

• Design, implement, and continuously improve decisioning logic running in live production systems
• Research complex fraud patterns, adversarial behaviors, and emerging threats
• Analyze large scale datasets to extract actionable insights and improve decision accuracy
• Develop and automate analytical processes to increase efficiency and scalability
• Work closely with Data Science, Engineering, and other cross functional teams to drive platform improvements

What you'll need:

• Psychometric score above 700 or equivalent (e.g. GMAT) – we value this as an indicator of the high-speed analytical reasoning and structured thinking required for this role
• Strong analytical and logical reasoning skills, with the ability to break down complex problems
• A record of high achievement – academically, professionally, or in other personal pursuits
• Natural curiosity and the ability to understand systemic behaviors and adversarial tactics
• Proactive and results driven mindset, with the ability to work independently within a collaborative team
• Strong technical orientation. Experience with Python, SQL, or R is an advantage but not required. You should be comfortable learning new tools and technologies

Bonus points for:

• Experience with SQL or Python
• Background in risk analysis or intelligence work
• Experience in data analysis
• Familiarity with machine learning concepts

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstromv can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

#LI-Onsite

So, what's the role all about?

NiCE enables organizations to address today's consumer and employee expectations by delivering effortless, consistent, and personalized digital-first experiences with CXone, the world's leading cloud CX platform. CSA team is dedicated to developing groundbreaking AI products that are transforming the industry. We promote a culture of collaboration, learning, and the utilization of advanced technologies. We are inviting enthusiastic students or recent graduates to join our CSA team as Associate DevOps Engineers. This position offers a unique opportunity to learn and contribute to the CI/CD processes, cloud management on AWS and Azure, and AI-powered infrastructure automation.

How will you make an impact?

• Assist in the development and maintenance of CI/CD pipelines.
• Work closely with experienced DevOps engineers and other teams to learn best practices in development and operations integration.
• Support the management of cloud infrastructure on AWS and Azure under supervision.
• Help monitor system performance and participate in troubleshooting and optimization tasks.
• Assist in deploying, monitoring, and maintaining AI based services and workloads.
• Support integration of Generative AI capabilities (e.g., LLM-based services) into CI/CD pipelines and cloud environments.
• Participate in evaluating and integrating AI-related tools and services.
• Engage in continuous learning, adopting industry best practices, new technologies, and emerging AI trends.

Have you got what it takes?

• Student of Computer Science, Computer Engineering, or Software Engineering.
• At least 4 semesters left until graduation
• Knowledge of AWS services
• Good knowledge of Python
• Basic familiarity with AI concepts
• Understanding of REST APIs and experience working with external services - advantage
• Familiarity with containers (Docker) and CI/CD tools - advantage
•  Awareness of cloud-based AI services (such as AWS Bedrock, SageMaker, or Azure AI services) – advantage
• Available for 100 hours / 2.5 days a week
• Great team player with excellent interpersonal skill
• Independent, self-driven, strong self-learner, with ability to self-manage tasks and meet deadlines
• Global mindset & great communication skills in English

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:  10738
Reporting into: Group Lead, DevOps, CX
Role Type: Student

#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

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

About QuantHealth

QuantHealth is a growing AI startup in the clinical trial space, leveraging AI, biomedical data, knowledge graphs, and real-world patient data to simulate and optimize clinical trials for pharmaceutical companies. Our platform combines large-scale biomedical knowledge, clinical trial data, and patient-level data to help customers simulate clinical trials, reduce development risk and cost, shorten timelines, and improve the probability of clinical trial success.

About the Role

This role combines day-to-day IT help desk support with ownership of identity and access
governance across the organization. The successful candidate will serve as the primary
point of contact for end-user IT issues while also acting as the gatekeeper for user
provisioning, access control, and compliance with IAM policies.

Responsibilities - IT HELPDESK

· Serve as the first point of contact for IT support requests via ticket, phone, or in
person
· Troubleshoot hardware, software, network, and connectivity issues for end users
· Perform password resets, account unlocks, and MFA resets
· Escalate unresolved issues to second-line support or specialist teams
· Maintain and update the IT helpdesk knowledge base and ticket records
· Set up and configure workstations, laptops, and peripherals for new joiners

Responsibilities - IDENTITY & ACCESS GOVERNANCE

· Create, modify, and deactivate user accounts across Active Directory, Office 365,
and other enterprise platforms
· Manage user provisioning and deprovisioning throughout the employee lifecycle
(onboarding, role changes, offboarding)
· Enforce role-based access control (RBAC) and least-privilege principles across
systems and applications
· Process and review access requests, ensuring approvals align with security policies
· Conduct periodic access reviews and recertification campaigns to identify and
remediate role drift
· Monitor and audit access logs to detect anomalies or policy violations
· Support segregation of duties (SoD) policy enforcement
· Maintain documentation for IAM processes and contribute to policy updates
· Assist with compliance requirements (e.g. ISO 27001, GDPR, SOX) as they relate to
access governance

Qualifications

· 1-3 years in an IT helpdesk or IT support role
· Hands-on experience with Office 365/ Google workspace administration
· Working knowledge of IAM concepts: SSO, MFA, RBAC, LDAP, SAML
· Familiarity with ticketing systems (e.g. Jira Service Management)
· Strong troubleshooting and analytical skills
· Clear communication skills, able to explain technical issues to non-technical users
· High attention to detail and commitment to data accuracy

Nice to have

· Exposure to IGA (Identity Governance & Administration) tools
· Scripting skills in PowerShell or Python for automation tasks

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. 
 
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! 

We’re looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions that transform how our teams operate. 

This is not a research role. You’ll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short. 

If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you. 

Responsibilities: 

• Partner directly with business teams to identify automation and optimization opportunities 
• Design and implement agent-based AI workflows to automate internal processes end-to-end 

• Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain 

• Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows 

• Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations 

• Take solutions from idea → prototype → production 

• Governance, Reliability & Security 

• Ensure AI workflows comply with security, privacy, and compliance requirements 

• Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed 

• Monitor AI performance, errors, hallucinations, and drift 

• Collaboration & Enablement: 

• Partner with business owners to identify automation opportunities 

• Translate business requirements into AI-driven solutions 

• Document AI flows, decision logic, and operational runbooks 

• Educate internal teams on AI capabilities and limitations 

Requirements: 

• 3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code 
• 2+ years of GenAI development experience, with strong AI/ML focus - MUST 
• Strong Python skills and production mindset - MUST 
• Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems 
• Experience with LangGraph, crewAI, Strands or similar orchestration frameworks 
• Experience in enterprise grade agentic solutions and bringing Agents into production 
• Experience in AWS Agent Core - Advantage 
• Solid understanding of ML workflows and MLOps principles 
• Strong analytical skills and ability to work directly with non-technical stakeholders 
• Builder mindset: proactive, independent, and impact-driven 
• Experience with Agentic AI driven applications like n8n, UiPath, Make –Advantage  

Tenable Cloud Security was born out of the acquisition of Ermetic, an innovative cloud-native application protection platform (CNAPP) company, and a leading provider of cloud infrastructure entitlement management (CIEM). The acquisition combines two cybersecurity innovators and marks an important milestone in Tenable’s mission to shift organizations to proactive security. The combination of Tenable and Ermetic offerings will add capabilities to deliver market-leading contextual risk visibility, prioritization and remediation across infrastructure and identities, both on-premises and in the cloud.

Your Role:

• Be the full tech owner of your team’s products - lead code reviews, and help maintain a high level of code: Writing clean, high-quality, high-performance, maintainable code.

• End-to-end professional responsibility over your team’s Agile development life-cycle

• Growing and mentoring your team members

• Serve as a force multiplier for your team by identifying and implementing process improvements.

•  Hands-on approach - designing, coding, and delivering features to production 

• Writing clean, high-quality, high-performance, maintainable code

• Collaborate in an environment involving various stakeholders within the company by planning, brainstorming, and sharing feedback.

• Coordinate cross-functionally to ensure the project meets business objectives and compliance standards

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on the production

Your Opportunity:

• Develop and support software including applications, database integration, interfaces, and new functionality enhancements

• Maintaining and enhancing core infrastructure

• Support test and deployment of new products and feature

• Lead a real-time, operational module, used internally, evolving to meet the demands of an ever-growing number and demands of customers relying on it for both mission-critical and day-to-day tasks.

What You'll Need:

• BSc in computer science or an equivalent from a known university or college in Israel or an exceptional track record in server-side development

• 8+ years experience in software engineering

• 3+ years experience in managing development teams

• High-level knowledge of C#, C/C++, Java, Go, Python

• Experience building scalable and high-available distributed services

• A history of excellence in achievement

• Experience developing services hosted on AWS, Azure, GCP- advantage

• Ability to multitask, organize, and prioritize work

#LI-EB1

#LI-Hybrid

Your Mission

A significant driver of our business relies on the integrations that ingest third-party data into our platform. We are establishing a new team, "Integrations Frameworks," dedicated to initiatives that will empower both us and the broader community to customize and enhance these integrations. This team's focus will include leveraging AI, exposing our core engine functionalities, and providing support and framework development for the other integration teams.

Your Role:
Team Leader - Integrations Frameworks:

• Strategic Vision & Execution: Pioneer and execute a strategy, including necessary tooling, to achieve a 100x acceleration in the integration process.
• Technical Leadership & Architecture: Lead the design and development of complex, modular services within the Tenable One platform, ensuring long-term maintainability. Drive high-level architectural discussions, guiding the team toward scalable, cloud-native best practices.
• System Reliability & Quality: Champion a "production-first" approach to reliability. Lead root cause analysis for intricate distributed system issues and implement preventative measures to ensure guaranteed system uptime. Collaborate deeply with Product, SRE, QA, and Security teams to deliver technical solutions aligned with business goals.
• Team Growth & Mentorship: Recruit, mentor, and lead an exceptional, high-performing engineering team critical to achieving the platform's mission.

What You'll Need:

• Experience leading at least two R&D teams, totaling a minimum of 4 years.
• Demonstrated experience collaborating with an AI-focused development team.
• 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 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.
• 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 modern frontend frameworks and an understanding of how frontend applications consume and state-manage complex backend data.

#LI-NT1

#LI-Office

Your Role:

Tenable's global CTO group is seeking a Staff Vulnerability Researcher. In this role, you will research various platforms and services to uncover 0-day vulnerabilities in major cloud providers, AI platforms, and technologies. You will lead innovation, solve complex problems, and develop strategies for both attacking and defending cloud and AI environments.

Furthermore, you will be in charge of fostering and spreading Tenable's global CTO group's technical expertise. You will present your novel work at conferences and author papers and blogs. You will also build open-source cloud and AI security tools and solutions.

If you're a curious, creative, technical person with an attacker's mindset, strong systemic thinking, and a passion for taking things apart and understanding how they work, we encourage you to apply.

Your Opportunity:

• Investigate and analyze the multi-cloud stack and AI models to find 0-day vulnerabilities, security holes, weaknesses, and design flaws
• Follow emerging security threats, author blogs about novel research, publish content, and speak at conferences
• Conduct technical research on cloud and AI platforms to yield new insights, theories, analyses, TTPs
• Serve as a technical leader and contributor for a research team exploring emerging cloud and AI technologies and services

What You'll Need:

• 7+ years of experience in cybersecurity research, vulnerability research, or offensive security
• Previous work experience in finding vulnerabilities and publishing research findings
• Experience with and knowledge of high-level systems, web applications, and application security
• Highly motivated, great self-learner, curious, responsible and independent
• Strong communication skills – written and verbal

And Ideally:

• Previous experience in presenting your work at industry conferences
• Experience with Kubernetes and container technology
• Solid programming skills in at least one language (C, C++, Python, GO, Rust)
• B.Sc. or higher in Computer Science, Software Engineering, Mathematics, or equivalent professional background
• Experience with data/security analysis
• Experience with and knowledge of cloud environment architecture (AWS, Azure, GCP)

#LI-SK1

#LI-Hybrid

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. 

We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.

About the Role:

Be responsible to build and maintain state of the art Infrastructure to support Transmit Security vastly growing SaaS services. Build a resilient, scalable data-rich infrastructure that provides key functionality to tens of millions of users daily as well as our business stakeholders. As we see data to be core to our success, and inherent in every SaaS offering we provide, we are looking to reinforce our Infrastructure software engineering skills and grow our expertise in this field with emphasis on open-source tools and self development.

What you’ll do:

• Building a state-of-the-art resilient infrastructure that comprises of micro-services as well as reusable frontend and backend components.
• Provide architectural solutions for complex code issues.
• Accommodate diverse and evolving requirements from internal teams as well as customers through designing future-friendly APIs and software components.

What you’ll need:

• At least 5 years of hands-on experience with backend development in at least one of the following: TypeScript and NodeJS, Python, Java, Scala
• At least 5 years of hands-on experience with frontend development in at least one of the following: React, Angular, Vue
• Experience and good understanding of K8s, Helm, and other DevOps / delivery technology
• Experience with AI-assisted development workflows -- Advantage
• Experience with high-scale data-centric solutions -- Advantage
• Experience with Apache Beam -- Advantage
• Experience with Big Data solutions -- Advantage
• Expertise in PostgreSQL -- Advantage
• Experience in designing APIs and SDKs -- Advantage

#LI-AM1 #LI-Hybrid 

#LI-TL1 #LI-Hybrid 

About the Role

The Platform Security team sits at the core of the Fireblocks platform. We are responsible for the engine that evaluates, enforces, and governs every action taken within the system. If it involves a governance policy, an approval chain, or access control, it touches our team.

We are looking for a strong, ownership-driven Senior Software Engineer to lead our Policy Engine and Governance domain. You will perform mission-critical engineering at high scale, where correctness is everything. This role requires a true "builder", someone who can architect complex, distributed business logic while also having the technical depth and willingness to dive into low-level C++ code to optimize core platform components.

What You’ll Do

• Own the Domain: Take end-to-end technical ownership of the Policy Engine and Governance domain, driving the architecture, design, and implementation from 0 to 1 and beyond.
• Bridge High-Level & Low-Level: Navigate seamlessly between designing highly available, modern microservices and writing/maintaining performance-critical, low-level C++ code when the system demands it.
• Build for Scale: Implement robust backend applications to process complex rule evaluations at scale and with minimal latency.
• Collaborate & Lead: Act as a technical leader within the team, collaborating closely with Product, and other engineering teams to translate complex enterprise governance requirements into scalable technical solutions.
• Maintain Excellence: Ensure the robustness and maintainability of our services, taking part in incident response, on-call rotations, and operational excellence.
• Leverage AI: Utilize modern AI tools and agents to accelerate development workflows, while applying critical judgment to validate AI-generated output in complex or high-stakes contexts.

What You’ll Bring

Must-Have:

• 8+ years of backend engineering experience building large-scale, high-volume distributed systems or SaaS platforms.
• Polyglot & Systems Depth: Strong proficiency in modern backend languages (e.g., Go, TypeScript, Python, or Java) combined with hands-on experience and a willingness to touch low-level C++ code.
• Architectural Mastery: Deep understanding of system design, microservices architecture, concurrency, and distributed SQL databases.
• Builder's Mentality: A proven track record of taking deep ownership of a complex product domain, acting as a technical anchor, and pushing projects forward independently.
• AI Tooling Experience: Hands-on experience working with AI development tools (Claude Code, Cursor, etc.) and the critical engineering judgment to know when to trust and when to override them.
• Infrastructure Knowledge: Experience working with cloud and backend technologies (e.g., Docker, Kubernetes, AWS, DataDog).

Strong Advantage:

• Security Mindset: A background in cyber-security, adversarial thinking, or experience working in highly security-sensitive environments.
• Governance Expertise: Experience building Policy Engines, Rule Engines, Identity and Access Management (IAM) systems, or authorization frameworks.
• Blockchain Knowledge: Familiarity with the blockchain ecosystem, smart contracts, or digital assets.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Join Apiiro — Design, develop, and deliver secure software faster

Apiiro is a fast-growing startup at the forefront of the application security field. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the app-sec space, we’re shaping the future of secure software development. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, Apiiro is the place to be.

About the Team

Our team focuses on delivering cutting-edge, AI-powered automated application security features within our ASPM product. We are a dynamic, agile team emphasizing seamless transitions from design to production, deployment, and ongoing monitoring. We excel at operationalizing machine learning, data science, and AI solutions into robust, secure, and high-performance security capabilities.

What You Will Do

• Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
• Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
• Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
• Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring

What You’re About

• B.Sc. in Computer Science, Mathematics, or similar.
• 4+ years of hands-on experience in applied data science or machine learning roles.
• Experience with building solutions based on agents, LLMs, generative AI, and advanced AI/ML frameworks.
• Proficient in writing clean, maintainable, and efficient Python code.

• Optional (preferred):
• Experience with additional languages such as Java or C#.
• M.Sc. in Computer Science, Mathematics, or similar.

• Independent, proactive, and agile.
• Skilled at problem-solving and creative solution-finding.
• Strong teamwork and communication skills; thrive in highly collaborative, diverse teams.
• Innovative and committed to continuous learning and staying up-to-date with the latest technologies.

What We Stand For at Apiiro

OneTeam, One Mission means we’re all in it together - tearing down walls, listening to every voice, and working as one to create real value for our customers.

Striving for Greatness drives us to keep pushing forward, aiming higher, and staying resilient. We don’t believe in “good enough.”

Own It, we take pride in what we do. We’re all about accountability, trust, and transparency, so we’re empowered to make a real impact. 

Customer Centric means our customers are at the heart of everything. We go beyond just meeting their needs; we build solutions that truly make a difference.

These values keep us motivated to deliver the best for our customers and each other, every single day.

-----

If you're ready to join a team that's dedicated to transforming the future of app security, we’d love to hear from you. Apply now and let’s build the next generation of secure software together!

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

BeyondTrust is a global leader in privileged access management. Our products provide remote access and privileged control capabilities that are deployed across thousands of enterprise environments worldwide. That makes us a high-value target. Nation-state actors, ransomware operators, and sophisticated threat groups actively target companies like ours—not just to compromise our corporate environment, but to reach the customers who trust our software to protect their most sensitive systems. A compromise of BeyondTrust is a compromise of the privileged access layer inside our customers’ networks. We take that responsibility seriously.

As a SOC Analyst on our Cyber Defense Operations team, you will serve as a front-line defender responsible for protecting both BeyondTrust’s enterprise infrastructure and the integrity of the products our customers depend on. You will monitor, investigate, and respond to security events in an environment where the stakes are real and the adversaries are capable. You will work alongside experienced threat hunters, incident responders, and detection engineers in a collaborative team that values sharp analytical thinking over checkbox compliance.

This team is building toward an AI-augmented operating model. You will be expected to use AI-driven tools in your daily work and to contribute to how we integrate these capabilities into our detection, triage, and response workflows. We are not looking for people who are waiting to be told what to do—we are looking for people who want to build something.

What You’ll Do

Alert Triage & Monitoring 

• Monitor and triage security alerts across SIEM, EDR, and CSPM platforms covering both corporate and product environments.
• Investigate alerts to determine scope, severity, and whether escalation is warranted.
• Leverage AI-assisted triage and enrichment tools to accelerate analysis and reduce mean time to detect.
• Classify, document, and track alerts through the full lifecycle using ticketing and case management systems.

Incident Response & Investigation 

• Participate in or lead incident response engagements from detection through remediation, including evidence collection, forensic analysis, root cause determination, and stakeholder communication.
• Conduct investigations across SIEM, EDR, CSPM, and cloud-native log sources including identity provider logs, cloud audit trails, and network flow data—spanning both corporate and product infrastructure.
• Execute established IR runbooks across identity, endpoint, cloud, and email investigation workflows.
• Manage or assist with evidence handling, forensic artifact collection, and chain-of-custody procedures.
• Produce clear, decision-ready incident summaries and post-incident reports for both technical and leadership audiences.

Detection Engineering & Threat Intelligence 

• Contribute to the design, implementation, and tuning of detection rules across SIEM and EDR platforms, with a focus on reducing false positives and closing coverage gaps.
• Translate threat intelligence (CVE advisories, CISA alerts, vendor bulletins, open-source feeds) into actionable detection content, with particular attention to threats targeting privileged access tooling and supply chain attack vectors.
• Help maintain and evolve detection coverage mapped to MITRE ATT&CK.
• Partner with threat hunting peers to validate detection logic through hypothesis-driven hunts.

AI Integration & Automation 

• Use AI-driven tools for alert triage, enrichment, and investigation as a standard part of daily operations.
• Contribute to the evaluation, integration, and optimization of AI and automation capabilities across the team’s workflows.
• Assist in designing prompts, agent workflows, or LLM-based pipelines that augment analyst capabilities and reduce manual effort.
• Partner with engineering teams to improve log ingestion, data quality, and tool integrations.

Operational Excellence 

• Maintain daily operational notes and shift handoff documentation.
• Contribute to and refine IR runbooks, playbooks, and standard operating procedures.
• Participate in on-call rotation for after-hours incident escalation.
• Track and report on operational metrics (MTTD, MTTR, MTTC, false positive rate) and identify improvement opportunities.
• Participate in tabletop exercises, purple team activities, and post-incident reviews. 

What You’ll Bring

• 2+ years of experience in a SOC, security operations, or incident response role.
• Understanding of common attack frameworks (MITRE ATT&CK), network protocols, and endpoint behavior.
• Experience with at least one SIEM platform and familiarity with writing search or detection queries.
• Familiarity with EDR platforms and cloud environments (IaaS preferred).
• Comfort using AI systems (e.g., LLM-based assistants, copilots, or AI-driven analysis tools) as part of security workflows.
• Strong written communication skills; able to document findings clearly and concisely for both technical and non-technical audiences.

Nice To Have

• Experience leading or co-leading complex incident response engagements from triage through remediation.
• Experience with identity and access management platforms and cloud security posture management tools.
• Scripting and automation skills (Python, PowerShell, or equivalent) applied to security workflows.
• Familiarity with SOAR platforms or orchestration tools for automated response and enrichment.
• Experience designing or implementing AI agent architectures, LLM-based automation pipelines, or prompt engineering for security use cases.
• Experience building or contributing to threat intelligence programs or detection-as-code pipelines.
• Understanding of the privileged access management landscape and the threat actors that target it.
• Track record of evaluating and adopting emerging technologies in a production security environment.

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DF1

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

BeyondTrust is a global leader in privileged access management. Our products provide remote access and privileged control capabilities that are deployed across thousands of enterprise environments worldwide. That makes us a high-value target. Nation-state actors, ransomware operators, and sophisticated threat groups actively target companies like ours—not just to compromise our corporate environment, but to reach the customers who trust our software to protect their most sensitive systems. A compromise of BeyondTrust is a compromise of the privileged access layer inside our customers’ networks. We take that responsibility seriously.

As a SOC Analyst on our Cyber Defense Operations team, you will serve as a front-line defender responsible for protecting both BeyondTrust’s enterprise infrastructure and the integrity of the products our customers depend on. You will monitor, investigate, and respond to security events in an environment where the stakes are real and the adversaries are capable. You will work alongside experienced threat hunters, incident responders, and detection engineers in a collaborative team that values sharp analytical thinking over checkbox compliance.

This team is building toward an AI-augmented operating model. You will be expected to use AI-driven tools in your daily work and to contribute to how we integrate these capabilities into our detection, triage, and response workflows. We are not looking for people who are waiting to be told what to do—we are looking for people who want to build something.

What You’ll Do

Alert Triage & Monitoring 

• Monitor and triage security alerts across SIEM, EDR, and CSPM platforms covering both corporate and product environments.
• Investigate alerts to determine scope, severity, and whether escalation is warranted.
• Leverage AI-assisted triage and enrichment tools to accelerate analysis and reduce mean time to detect.
• Classify, document, and track alerts through the full lifecycle using ticketing and case management systems.

Incident Response & Investigation 

• Participate in or lead incident response engagements from detection through remediation, including evidence collection, forensic analysis, root cause determination, and stakeholder communication.
• Conduct investigations across SIEM, EDR, CSPM, and cloud-native log sources including identity provider logs, cloud audit trails, and network flow data—spanning both corporate and product infrastructure.
• Execute established IR runbooks across identity, endpoint, cloud, and email investigation workflows.
• Manage or assist with evidence handling, forensic artifact collection, and chain-of-custody procedures.
• Produce clear, decision-ready incident summaries and post-incident reports for both technical and leadership audiences.

Detection Engineering & Threat Intelligence 

• Contribute to the design, implementation, and tuning of detection rules across SIEM and EDR platforms, with a focus on reducing false positives and closing coverage gaps.
• Translate threat intelligence (CVE advisories, CISA alerts, vendor bulletins, open-source feeds) into actionable detection content, with particular attention to threats targeting privileged access tooling and supply chain attack vectors.
• Help maintain and evolve detection coverage mapped to MITRE ATT&CK.
• Partner with threat hunting peers to validate detection logic through hypothesis-driven hunts.

AI Integration & Automation 

• Use AI-driven tools for alert triage, enrichment, and investigation as a standard part of daily operations.
• Contribute to the evaluation, integration, and optimization of AI and automation capabilities across the team’s workflows.
• Assist in designing prompts, agent workflows, or LLM-based pipelines that augment analyst capabilities and reduce manual effort.
• Partner with engineering teams to improve log ingestion, data quality, and tool integrations.

Operational Excellence 

• Maintain daily operational notes and shift handoff documentation.
• Contribute to and refine IR runbooks, playbooks, and standard operating procedures.
• Participate in on-call rotation for after-hours incident escalation.
• Track and report on operational metrics (MTTD, MTTR, MTTC, false positive rate) and identify improvement opportunities.
• Participate in tabletop exercises, purple team activities, and post-incident reviews. 

What You’ll Bring

• 2+ years of experience in a SOC, security operations, or incident response role.
• Understanding of common attack frameworks (MITRE ATT&CK), network protocols, and endpoint behavior.
• Experience with at least one SIEM platform and familiarity with writing search or detection queries.
• Familiarity with EDR platforms and cloud environments (IaaS preferred).
• Comfort using AI systems (e.g., LLM-based assistants, copilots, or AI-driven analysis tools) as part of security workflows.
• Strong written communication skills; able to document findings clearly and concisely for both technical and non-technical audiences.

Nice To Have

• Experience leading or co-leading complex incident response engagements from triage through remediation.
• Experience with identity and access management platforms and cloud security posture management tools.
• Scripting and automation skills (Python, PowerShell, or equivalent) applied to security workflows.
• Familiarity with SOAR platforms or orchestration tools for automated response and enrichment.
• Experience designing or implementing AI agent architectures, LLM-based automation pipelines, or prompt engineering for security use cases.
• Experience building or contributing to threat intelligence programs or detection-as-code pipelines.
• Understanding of the privileged access management landscape and the threat actors that target it.
• Track record of evaluating and adopting emerging technologies in a production security environment.

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DF1

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

BeyondTrust is a global leader in privileged access management. Our products provide remote access and privileged control capabilities that are deployed across thousands of enterprise environments worldwide. That makes us a high-value target. Nation-state actors, ransomware operators, and sophisticated threat groups actively target companies like ours—not just to compromise our corporate environment, but to reach the customers who trust our software to protect their most sensitive systems. A compromise of BeyondTrust is a compromise of the privileged access layer inside our customers’ networks. We take that responsibility seriously.

As a SOC Analyst on our Cyber Defense Operations team, you will serve as a front-line defender responsible for protecting both BeyondTrust’s enterprise infrastructure and the integrity of the products our customers depend on. You will monitor, investigate, and respond to security events in an environment where the stakes are real and the adversaries are capable. You will work alongside experienced threat hunters, incident responders, and detection engineers in a collaborative team that values sharp analytical thinking over checkbox compliance.

This team is building toward an AI-augmented operating model. You will be expected to use AI-driven tools in your daily work and to contribute to how we integrate these capabilities into our detection, triage, and response workflows. We are not looking for people who are waiting to be told what to do—we are looking for people who want to build something.

What You’ll Do

Alert Triage & Monitoring 

• Monitor and triage security alerts across SIEM, EDR, and CSPM platforms covering both corporate and product environments.
• Investigate alerts to determine scope, severity, and whether escalation is warranted.
• Leverage AI-assisted triage and enrichment tools to accelerate analysis and reduce mean time to detect.
• Classify, document, and track alerts through the full lifecycle using ticketing and case management systems.

Incident Response & Investigation 

• Participate in or lead incident response engagements from detection through remediation, including evidence collection, forensic analysis, root cause determination, and stakeholder communication.
• Conduct investigations across SIEM, EDR, CSPM, and cloud-native log sources including identity provider logs, cloud audit trails, and network flow data—spanning both corporate and product infrastructure.
• Execute established IR runbooks across identity, endpoint, cloud, and email investigation workflows.
• Manage or assist with evidence handling, forensic artifact collection, and chain-of-custody procedures.
• Produce clear, decision-ready incident summaries and post-incident reports for both technical and leadership audiences.

Detection Engineering & Threat Intelligence 

• Contribute to the design, implementation, and tuning of detection rules across SIEM and EDR platforms, with a focus on reducing false positives and closing coverage gaps.
• Translate threat intelligence (CVE advisories, CISA alerts, vendor bulletins, open-source feeds) into actionable detection content, with particular attention to threats targeting privileged access tooling and supply chain attack vectors.
• Help maintain and evolve detection coverage mapped to MITRE ATT&CK.
• Partner with threat hunting peers to validate detection logic through hypothesis-driven hunts.

AI Integration & Automation 

• Use AI-driven tools for alert triage, enrichment, and investigation as a standard part of daily operations.
• Contribute to the evaluation, integration, and optimization of AI and automation capabilities across the team’s workflows.
• Assist in designing prompts, agent workflows, or LLM-based pipelines that augment analyst capabilities and reduce manual effort.
• Partner with engineering teams to improve log ingestion, data quality, and tool integrations.

Operational Excellence 

• Maintain daily operational notes and shift handoff documentation.
• Contribute to and refine IR runbooks, playbooks, and standard operating procedures.
• Participate in on-call rotation for after-hours incident escalation.
• Track and report on operational metrics (MTTD, MTTR, MTTC, false positive rate) and identify improvement opportunities.
• Participate in tabletop exercises, purple team activities, and post-incident reviews. 

What You’ll Bring

• 2+ years of experience in a SOC, security operations, or incident response role.
• Understanding of common attack frameworks (MITRE ATT&CK), network protocols, and endpoint behavior.
• Experience with at least one SIEM platform and familiarity with writing search or detection queries.
• Familiarity with EDR platforms and cloud environments (IaaS preferred).
• Comfort using AI systems (e.g., LLM-based assistants, copilots, or AI-driven analysis tools) as part of security workflows.
• Strong written communication skills; able to document findings clearly and concisely for both technical and non-technical audiences.

Nice To Have

• Experience leading or co-leading complex incident response engagements from triage through remediation.
• Experience with identity and access management platforms and cloud security posture management tools.
• Scripting and automation skills (Python, PowerShell, or equivalent) applied to security workflows.
• Familiarity with SOAR platforms or orchestration tools for automated response and enrichment.
• Experience designing or implementing AI agent architectures, LLM-based automation pipelines, or prompt engineering for security use cases.
• Experience building or contributing to threat intelligence programs or detection-as-code pipelines.
• Understanding of the privileged access management landscape and the threat actors that target it.
• Track record of evaluating and adopting emerging technologies in a production security environment.

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DF1

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

BeyondTrust is a global leader in privileged access management. Our products provide remote access and privileged control capabilities that are deployed across thousands of enterprise environments worldwide. That makes us a high-value target. Nation-state actors, ransomware operators, and sophisticated threat groups actively target companies like ours—not just to compromise our corporate environment, but to reach the customers who trust our software to protect their most sensitive systems. A compromise of BeyondTrust is a compromise of the privileged access layer inside our customers’ networks. We take that responsibility seriously.

As a SOC Analyst on our Cyber Defense Operations team, you will serve as a front-line defender responsible for protecting both BeyondTrust’s enterprise infrastructure and the integrity of the products our customers depend on. You will monitor, investigate, and respond to security events in an environment where the stakes are real and the adversaries are capable. You will work alongside experienced threat hunters, incident responders, and detection engineers in a collaborative team that values sharp analytical thinking over checkbox compliance.

This team is building toward an AI-augmented operating model. You will be expected to use AI-driven tools in your daily work and to contribute to how we integrate these capabilities into our detection, triage, and response workflows. We are not looking for people who are waiting to be told what to do—we are looking for people who want to build something.

What You’ll Do

Alert Triage & Monitoring 

• Monitor and triage security alerts across SIEM, EDR, and CSPM platforms covering both corporate and product environments.
• Investigate alerts to determine scope, severity, and whether escalation is warranted.
• Leverage AI-assisted triage and enrichment tools to accelerate analysis and reduce mean time to detect.
• Classify, document, and track alerts through the full lifecycle using ticketing and case management systems.

Incident Response & Investigation 

• Participate in or lead incident response engagements from detection through remediation, including evidence collection, forensic analysis, root cause determination, and stakeholder communication.
• Conduct investigations across SIEM, EDR, CSPM, and cloud-native log sources including identity provider logs, cloud audit trails, and network flow data—spanning both corporate and product infrastructure.
• Execute established IR runbooks across identity, endpoint, cloud, and email investigation workflows.
• Manage or assist with evidence handling, forensic artifact collection, and chain-of-custody procedures.
• Produce clear, decision-ready incident summaries and post-incident reports for both technical and leadership audiences.

Detection Engineering & Threat Intelligence 

• Contribute to the design, implementation, and tuning of detection rules across SIEM and EDR platforms, with a focus on reducing false positives and closing coverage gaps.
• Translate threat intelligence (CVE advisories, CISA alerts, vendor bulletins, open-source feeds) into actionable detection content, with particular attention to threats targeting privileged access tooling and supply chain attack vectors.
• Help maintain and evolve detection coverage mapped to MITRE ATT&CK.
• Partner with threat hunting peers to validate detection logic through hypothesis-driven hunts.

AI Integration & Automation 

• Use AI-driven tools for alert triage, enrichment, and investigation as a standard part of daily operations.
• Contribute to the evaluation, integration, and optimization of AI and automation capabilities across the team’s workflows.
• Assist in designing prompts, agent workflows, or LLM-based pipelines that augment analyst capabilities and reduce manual effort.
• Partner with engineering teams to improve log ingestion, data quality, and tool integrations.

Operational Excellence 

• Maintain daily operational notes and shift handoff documentation.
• Contribute to and refine IR runbooks, playbooks, and standard operating procedures.
• Participate in on-call rotation for after-hours incident escalation.
• Track and report on operational metrics (MTTD, MTTR, MTTC, false positive rate) and identify improvement opportunities.
• Participate in tabletop exercises, purple team activities, and post-incident reviews. 

What You’ll Bring

• 2+ years of experience in a SOC, security operations, or incident response role.
• Understanding of common attack frameworks (MITRE ATT&CK), network protocols, and endpoint behavior.
• Experience with at least one SIEM platform and familiarity with writing search or detection queries.
• Familiarity with EDR platforms and cloud environments (IaaS preferred).
• Comfort using AI systems (e.g., LLM-based assistants, copilots, or AI-driven analysis tools) as part of security workflows.
• Strong written communication skills; able to document findings clearly and concisely for both technical and non-technical audiences.

Nice To Have

• Experience leading or co-leading complex incident response engagements from triage through remediation.
• Experience with identity and access management platforms and cloud security posture management tools.
• Scripting and automation skills (Python, PowerShell, or equivalent) applied to security workflows.
• Familiarity with SOAR platforms or orchestration tools for automated response and enrichment.
• Experience designing or implementing AI agent architectures, LLM-based automation pipelines, or prompt engineering for security use cases.
• Experience building or contributing to threat intelligence programs or detection-as-code pipelines.
• Understanding of the privileged access management landscape and the threat actors that target it.
• Track record of evaluating and adopting emerging technologies in a production security environment.

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DF1

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cyber security SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

As a Senior Software Development Engineer, you will be crucial in launching and supporting Entitle - BeyondTrust’s Just-In-Time Access Management system. You will be part of a fast-paced team designing, developing, delivering, and maintaining a cloud-based software solution utilizing modern orchestration technologies. This is a unique opportunity for you to step up as a technical leader in solving cloud-scale challenges and deliver a bar-raising platform system. This role is based in our central Tel Aviv office.

What You’ll Do

• Design, build, and maintain highly scalable and resilient backend components, services, and orchestration.
• Deliver outstanding user experience for complex API-based integrations.
• Contribute to the design of systems and provide technical leadership for projects with increasing complexity.
• Review functional and technical requirements to identify gaps and limitations, propose simplifications, and communicate ideas effectively with cross-functional teams.
• Be a bar-raiser for delivering results and taking end-to-end ownership individually and as part of a team.
• Relentless pursuit of high quality by leveraging engineering best practices.

What You’ll Bring

• 5+ years’ experience delivering and supporting enterprise-ready cloud-based systems.
• Solid Understanding of modern design patterns.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Experience with the full lifecycle of development, including product release in an agile environment.
• Experience working on an Agile team in a continuous integration and development environment.
• Hands-on experience in architecting and developing backend services.
• Proficient in Python with a deep understanding of OOP, System Design, Networks and Linux.
• Experience working with public cloud providers: AWS, Google Cloud, and Azure.
• Experience with data engineering technologies: RabbitMQ, S3, ClickHouse, Airflow, Spark, Elasticsearch.
• Experience in connecting to API services with limited functionality or scalability.
• Experience in developing scalable microservices architectures.
• Experience with performance optimization techniques for backend components running on cloud as well as on-prem.
• Understanding of Continuous Integration and Continuous Delivery strategies.
• Understanding of monitoring and alerting strategies.
• Familiarity with unit testing frameworks and end-to-end testing tools.

Who You Are

• You are a team player, eager and open to sharing successes and failures.
• You are flexible and can handle ambiguity and adapt to shifting situations and requirements.
• You are excited about AI and move with urgency to embed it across your work—from day-to-day tasks to production workflows—proactively experimenting, advocating for the right tools, and sharing learnings.
• You take the initiative to fix issues before being assigned to them. You are persistent when facing roadblocks, overcoming them efficiently, and know how to coordinate with others when necessary.
• You hold high standards, continuously raise the bar, and drive our teams to deliver high- quality products, services, and processes.
• You understand software development best practices from appropriate testing paradigms to effective peer code reviews and resilient architectures.
• You know how to balance speed and risks; you make decisions based on data.

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the worldwide leader in intelligent identity and access security, enabling organizations to protect identities, stop threats, and deliver dynamic access. We are leading the charge in innovating identity-first security and are trusted by 20,000 customers, including 75 of the Fortune 100, plus a global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-BS1

We’re a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone. 

The Role:

We are looking for a Senior Software Engineer to work on our cloud operations platform turning the best open source technologies into frustration-free cloud services. You’ll be part of the team that is focused on developing the PostgreSQL services and improving their scalability and reliability.

Our philosophy is to automate everything and to avoid repetitive manual work in everything we do. Our own backend systems are mostly implemented in Python with bits of Java, Go and C.

What You'll Do:

• Write high-quality, maintainable code and release quality features.
• Participate in technical discussions and perform PR reviews.
• Contribute to technical planning and backlog management.
• Help investigate and resolve customer issues.
• Mentor and empower other engineers.
• Automate processes to eliminate repetitive manual work.
• Develop and improve the scalability and reliability of PostgreSQL service.

What We're Looking For:

Don’t worry if your experience doesn’t line up perfectly – we still encourage you to apply! We believe in investing in our crabs’ professional growth.

Must Have:

• Excellent development skills in Python
• 5+ years of experience working with one of these databases - PostgreSQL, MySQL, MariaDB, SQL Server, OracleDB
• Experience with backup solutions and backup strategies
• Advanced understanding of Linux OS
• Experience with automated testing
• Distributed systems knowledge
• Experience with performance improvements, bug fixes, and security vulnerability resolution
• Fluency in English, verbal and written.

Nice to Have:

• Good understanding of security (software, networking)
• Experience in infrastructure as code
• Experience in cloud DBAAS production environments
• Experience in production software environments

Amazing! What’s next:

If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch!

Global Benefits:

Our global benefits are designed to help you thrive and grow, personally and professionally:

• Participate in Aiven’s equity plan.
• Balance work and life with our hybrid work policy.
• Choose the equipment you need to set yourself up for success.
• Use your Professional Development Plan budget for learning opportunities.
• Receive holistic wellbeing support through our global Employee Assistance Program.
• Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
• Enjoy country-specific benefits for our global cast.

How to Recognize and Avoid Employment Scams:

There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person.  Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities:

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please write to us at recruitment@aiven.io.

So, what’s the role all about?

The R&D Business Operations team is responsible for collecting, analyzing, and managing R&D data, change requests, and various cross-unit projects and initiatives. As a BI Data Engineer, you will be the backbone of our data infrastructure owing end-to-end data pipelines that power the analytics and dashboards used across the R&D group, connecting a wide range of data sources into a coherent, scalable platform. You will accompany the full data journey, from ingestion and transformation through to the creation of datasets and, where needed, venture into the reporting and dashboard layer to deliver complete, business-ready data products.

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity — someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value

How will you make an impact?  

•    Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
•    Own and manage the cloud data warehouse — schema design, performance tuning, and access control
•    Manage data ingestion workflows connecting diverse data sources to the central data platform
•    Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
•    Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
•    Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
•    Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
•    Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

Have you got what it takes?

•    At least 5 years of hands-on, production data engineering experience
•    Proven expertise with a cloud data warehouse (Snowflake)
•    Hands-on experience with a data ingestion tool (e.g., Fivetran or equivalent)
•    Hands-on experience with a data transformation framework (e.g., dbt or equivalent)
•    Strong SQL skills: advanced querying, optimization, and data modeling
•    Strong hands-on experience working with external APIs, including authentication, rate limits, pagination, and error handling
•    Ability to design, build, and maintain custom API-based data ingestion pipelines in Python
•    Hands-on experience with Python for data engineering tasks
•    Practical experience operating workflow orchestration tools such as Airflow
•    Ownership and administration of cloud data environments such as AWS or Azure, including account-level responsibility for data workloads
•    A strong sense of accountability — comfortable being the go-to person for your data domains and available to respond when issues arise outside of regular hours
•    Genuine curiosity about developments in the AI and data space — someone who actively follows trends, is eager to experiment, and brings new ideas to the table

You will have an advantage if you also have:

•    Familiarity with BI and reporting tools
•    Experience with R&D tooling ecosystems
•    Exposure to data governance or data observability practices
•    Fluent English — written and spoken

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.

#LI-Hybrid

Requisition ID: 10660

Reporting into: Director, R&D Operations, CX

Role Type: Individual Contributor