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

Who We Are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

What You Will Do

We're looking for a talented Software Engineer with enthusiasm for AI/GenAI to join our innovation-focused team building agentic AI systems autonomous, reasoning-driven software agents capable of orchestrating complex tasks across tools, APIs, and data sources.

You'll design and build scalable backend systems that integrate large language models (LLMs) and other AI technologies into production-grade services. This role blends backend engineering, AI integration, and rapid prototyping, with room to learn, experiment, and deliver impactful, scalable solutions.

• Architect and implement distributed services that power AI-driven applications.
• Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.
• Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.
• Create and refine proof-of-concepts, validating ideas quickly before scaling to production.
• Implement monitoring, evaluation, and logging systems to track AI-powered features in production.
• Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.
• Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.

Who You Are

• Backend Specialist with a Passion for AI/GenAI, strong systems skills, and eagerness to grow in AI.
• 5+ years in Python /Java/Scala/C#/ Go
• Familiarity with LLM frameworks (LangChain, LangGraph, Haystack, etc.) or willingness to learn.
• Basic understanding of prompt engineering, vector databases, and retrieval-augmented generation (RAG).
• Solid knowledge of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Proven track record in building scalable, distributed systems.
• Strong problem-solving, ownership, and collaboration skills.

Nice-to-Have Skills

•  Exposure to reinforcement learning, multi-agent systems, or autonomous planning.
• Interest in ML Ops, AI model deployment, and scaling AI workloads.
•  Experience with data engineering for AI (ETL pipelines, feature stores, embeddings).
•  Any experience building AI-powered platforms or agent-based systems.

#Hybrid#

Tenable Operational Technology (OT) Security

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

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

What you'll need:

• 3+ years of experience as a Front-end Developer, with a strong focus on  the Angular Framework.
• Proficiency in TypeScript, JavaScript, and CSS (experience with SASS/LESS is a plus).
• Deep knowledge of performance optimization techniques and browser troubleshooting.
• Active engagement with AI development tools (Copilot, Cursor, Claude, etc.) with a strong emphasis on prompt engineering.
• Critical thinking skills, a sense of ownership, and a team-player mentality.
• Excellent interpersonal and communication skills.
• Proven experience in Backend development and full-stack ownership; we are open to any programming language for the Backend.

Not sure whether to apply? Just do it!

We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role — you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.

What you'll do:

• Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
• Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
• Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
• Own end-to-end conversational journeys — from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
• Build and maintain prompt evaluation pipelines — designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
• Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
• Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
• Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices — helping establish Payoneer’s standards for responsible, effective AI Agent deployment.
• Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the team’s workflow.

Who you are:

• 3–4+ years of hands-on experience working with Large Language Models (LLMs) — including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
• English proficiency — Mandatory (native or near-native written English; this role is language-critical).
• Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
• Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
• Experience with AI Agent architectures and concepts — tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
• Strong analytical skills — comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
• Experience designing for multilingual and multicultural audiences.
• Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
• Familiarity with version control practices for prompt management and documentation.
• Excellent stakeholder management — able to align multiple teams around conversational strategy and priorities.

Advantages:

• Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
• Knowledge of SQL or analytics/BI tools for performance analysis.
• Background in customer service, contact center, or fintech environments.
• Experience with UX writing, content design, or conversation design as a discipline.
• Familiarity with AI safety, responsible AI frameworks, and compliance considerations in regulated industries.
• Understanding customer journey mapping and service design methodologies.
• Experience with Figma or similar design tools for flow visualization.

#LI-AG2

If you are interested in a position in Engineering but don't see what you are looking for, please send us your resume.  We will keep it on file and reach out when we find a match.

Tenable's Engineering Department is the company's heartbeat. Our scrum teams work in locations around the globe, building architectures and developing code for our innovative products, fulfilling SRE and DevOps roles, providing testing and QA services -- insuring that Tenable brings it's best to the market every day!

Positions in Engineering generally require a background in Computer Science, Software Engineering (or similar) and some experience working in an agile, team focused organization.

In the United States, we typically hire in one of our hub locations - Columbia, MD; Boston, MA; and the San Francisco, CA Bay Area. Globally, Engineers are hired in Dublin, Ireland; Tel Aviv, Israel; and Paris, France. Some positions require a hybrid work schedule (2 days a week in the office) and others are fully remote. Required location(s) are posted for each individual opening.

#LI-DNI

Senior AI-Native Software Engineer

Role summary

You will join a high-impact AI engineering team within R&D, owning problems end-to-end — from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.

As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild — building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.

Location

Hybrid — Herzliya, Israel

Full-time

What you'll do

• Own the full development loopunderstand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
• Use AI as your primary development tool, achieving in a day what used to take a team a week
• Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
• Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
• Own production readiness monitoring, alerting, and observability go in on day one
• Contribute to shaping team practices, tooling, and engineering standards across the pod
• Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.

Who you are

• 5+ years of software engineering experience, building and operating production systems
• Hands-on experience with AI/ML systems in production not just prototyping, but shipping, monitoring, and iterating
• Genuine fluency with AI-powered development tools you use them daily to move faster
• Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback and error handling
• Strong evaluation instincts you define metrics, build test sets, and validate before shipping
• Comfortable across the full stack you move between prompt engineering, backend services, data pipelines, and infrastructure as needed
• High degree of independence you lead work from problem definition to production without waiting for detailed specs
• Excellent communication you flag risks early, give direct feedback, and collaborate openly Fintech or regulated-environment experience is an advantage

#LI-LF1

Your Role:

What You'll Need:

• BSc in Computer Science or a related degree from a recognized institution, or a strong track record in full stack development with advanced technical skills.
• 4+ years of experience in software engineering, with demonstrated delivery ofproduction features across both frontend and backend.
• Strong proficiency with modern frontend frameworks such as React, Angular, or Vue, including TypeScript, component design, and state management for complex data-driven UIs.
• Proficiency in one or more modern backend languages such as Python, Kotlin, Java, Go, C#, or equivalent, with the ability to adapt to new tools and technologies.
• Solid understanding of RESTful APIs, HTTP, authentication/authorization flows, and integration of third-party tools and services.
• Experience designing and consuming APIs that power rich, interactive frontend experiences.
• Familiarity with distributed systems and cloud-native architecture (e.g., Kubernetes, microservices).
• Working knowledge of data stores and messaging systems (e.g., PostgreSQL, Elasticsearch, Snowflake, Kafka, or Redis) sufficient to reason about performance and data flow end-to-end.
• Experience with cloud platforms such as AWS, Azure, or GCP, and with modern CI/CD and frontend build/deployment workflows.
• Strong problem-solving skills, with experience debugging issues across the full stack—from browser devtools to server logs and traces.
• A proactive approach to task prioritization and a history of owning features from design through deployment with minimal supervision.
• Prior experience working in the cybersecurity industry or with security-centric data pipelines and protocols is an advantage.
• Bonus: Experience building developer-facing tools, SDKs, low-code/configuration UIs, or AI-assisted experiences

#LI-LS1

#LI-Office

About the role:

Forter is looking for a Senior II Software Engineer to join the CX Platform team, the foundational engineering team powering Forter's entire Customer Experience group. This is a high-impact, hands-on role at the intersection of backend engineering, AI infrastructure, and customer-facing product.

You'll work across the full platform stack (backend services, data pipelines, security, cost, and scale) with a meaningful and growing focus on AI infrastructure. We own the agentic platform for the entire Product Offering group: from building the LLM infrastructure and agentic workflows to ensuring they're reliable, observable, and safe in production.

Why should you join us?

AI at Forter isn't a side project. It's a strategic priority, and the CX Platform team sits at the center of it. We own the AI infrastructure for the entire Product Offering group, which means your work has wide reach and real stakes.

You'll be working with modern agentic patterns, like AWS Bedrock and LangChain, building features that are genuinely novel and not just wrapping someone else's chatbot. If you want a role where backend depth, product instinct, and AI engineering all matter equally, this is it.

What you'll be doing:

• Own AI infrastructure for the Product Offering group. Design, build, and evolve the shared AI platform (agentic workflows, LLM integrations, observability, and guardrails) that CX product teams build on.
• Ship agentic features end to end. Lead development of AI-driven capabilities using LangChain, LangFuse, and AWS Bedrock, from architecture through production deployment and monitoring.
• Drive platform architecture. Set the technical direction for the CX backend (services, data pipelines, API patterns) with an eye for scalability, reliability, and developer experience.
• Own core data foundations. Design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, and MySQL; keep pipelines fast, fresh, and reliable.
• Mentor and elevate. Help engineers across the CX group grow in backend craft, AI engineering, and system design thinking.
• Collaborate cross-functionally. Work with product, design, and customer-facing teams to turn ambiguous problems into well-scoped, high-quality solutions.

What you'll need:

• 6+ years of backend engineering experience with strong expertise in Node.js and TypeScript.
• Hands-on experience building or integrating LLM-powered features or agentic workflows into a production product (not just internal tooling).
• Experience with distributed systems and event-driven architectures, and comfort with stores like Kafka, Redis, Elasticsearch, MySQL, and Snowflake.
• Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
• Deep systems thinking: you design for scale, resilience, and maintainability from the start.
• Experience building customer-facing products alongside product managers and designers.
• Excellent communication: you can align engineers, product, and non-technical stakeholders around a technical decision.
• Proven ability to own and drive complex initiatives with minimal oversight.

It’d be really cool if you also have:

• Experience with LangChain, LangGraph, LangFuse, or similar orchestration and observability tooling
• Hands-on experience with AWS Bedrock or other LLM provider APIs
• Experience designing or running AI evaluation frameworks (evals, LLM-as-judge, regression suites)
• Familiarity with MCP (Model Context Protocol) or building tools for coding agents
• Experience with React, Next.js, or micro-frontend architectures
• Knowledge of Python for AI/data workflows

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 Nordstrom 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.

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 Design award winner for inclusivity for 2025.

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

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

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’re looking for a talented and experienced Senior Software Engineer to join the Cato Apps Team (AI) — the team building Cato’s next-generation AI infrastructure and intelligent agent ecosystem, powering how customers interact with Cato’s SASE platform. 

This team is at the forefront of Cato’s AI innovation, building AI-native systems and agentic infrastructure that transform how IT and security teams operate, troubleshoot, and make decisions. 

In this role, you’ll help shape and build the foundation of Cato’s AI-powered management and support experience, directly impacting thousands of global customers by making Cato’s platform smarter, faster, and easier to use. 

Responsibilities 

• Design and develop Cato’s Agentic Infrastructure, leveraging state-of-the-art technologies to build highly scalable, AI-native end-to-end services — from backend logic and service integration all the way to AI-first products such as Cato’s AI Assistant. 
• Build and optimize real-time, scalable microservices that process and enrich large volumes of networking and security data. 
• Collaborate closely with AI/ML engineers, product managers, and UX designers to define and deliver intelligent, conversational capabilities. 
• Contribute to the architecture and infrastructure of Cato’s AI systems, ensuring performance, reliability, scalability, and security. 
• Drive innovation and bring new ideas for AI-based automation, autonomous workflows, and insight generation across the platform. 

Requirements 

• 7+ years of software development experience, preferably in cloud-native environments, including hands-on experience building AI-driven applications and working with modern LLM ecosystems. 
• Strong understanding of modern AI/LLM concepts and architectures, including RAG, fine-tuning, prompt engineering, vector databases, agents, and orchestration frameworks. 
• Strong programming skills in Java with a deep understanding of distributed systems and APIs. 
• Experience with microservice architectures, message queues, and real-time data processing. 
• Experience building highly scalable backend systems and AI-native services. 
• Excellent collaboration and communication skills, with a product-oriented mindset and strong attention to user impact. 

Why join Cato 

Cato Networks is the world’s first SASE platform, connecting and securing enterprises with cloud-native simplicity. 

Joining Cato means working with passionate engineers who are reinventing enterprise networking and security - with AI at the core of the experience. 

As a Senior FinOps Engineer, you will be tasked with being a key architect of our financial sustainability at SentinelOne. You won't just track spend, you will build the frameworks that transform complex cloud and usage data into clear, actionable strategies for the business. Joining our global FinOps team, you will act as the bridge between Product Engineering, Finance, and Leadership, ensuring our hyper-growth is matched by world-class unit economics and cloud efficiency.

What will you do?

Primary responsibilities include:

• Advanced Analytics & Insights: Architect and maintain sophisticated data models that merge cloud billing data with customer usage metrics to drive deep-dive trend analysis and anomaly detection.
• AI & ML Economics: Establish governance and unit-economic tracking for AI-related spend, including GPU utilization, LLM token consumption, and model training costs to ensure high ROI on AI initiatives.
• Strategic Allocation: Design and govern complex cost-allocation frameworks (including Kubernetes and shared services) to ensure 100% accountability across product lines and engineering pods.
• Cost Tracking & Accountability: Track and maintain critical cloud cost, identify increases and improve cost accountability across org.
• Optimization & Commitment Management: Lead the strategy for Reserved Instances, Savings Plans, and CUDs across a multi-cloud environment. Proactively identify architectural rightsizing opportunities.
• Forecasting & Capacity Planning: Build predictive models for cloud spend that account for customer acquisition rates, regional expansion, and product roadmap changes to safeguard company margins.
• Cost Accountability: Improve cost accountability and mindset across org 
• Stakeholder Influence: Present quarterly business reviews (QBRs) to senior stakeholders, translating technical cloud complexities into clear financial impact.
• Capitalization (CapEx) Reporting: Support the engineering capitalization process by correlating labor effort with project delivery data for financial compliance.

What experience or knowledge should you bring?

Ideal candidates will have: 

• Experience: 5+ years in a dedicated FinOps or Cloud Cost Management role within a large-scale, multi-cloud environment (AWS & GCP preferred).
• Data: Expert-level SQL and proficiency in Python for data manipulation. You should be comfortable moving beyond basic reports into data transformation and enrichment.
• Visualization: Proven track record of building high-impact BI dashboards (e.g., Tableau, Looker, or Grafana) that tell a story, not just display numbers.
• Cloud Architecture: Deep technical understanding of cloud services (Compute, Storage, Networking, and BigQuery/Snowflake) and how their architectural choices impact the bottom line.
• Financial Literacy: Solid understanding of accounting principles.
• Education: B.Sc. in Computer Science, Industrial Engineering, Data Analytics, or a related field.

Why SentinelOne?

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

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

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

The role 

As a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automobile’s embedded hardware. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently. Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform.You will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.

Key responsibilities:

• Design, develop and maintain embedded software for autonomous vehicle platforms, focusing on sensor integration and hardware abstraction.
• Implement and optimize device drivers for various sensors and compute hardware.
• Collaborate with cross-functional teams to define software requirements and ensure seamless integration with the autonomous driving application stack.
• Debug and troubleshoot software issues, ensuring high reliability and performance.
• Participate in code reviews, testing, and documentation to maintain high software quality standards.
• Stay up-to-date with industry trends and advancements in embedded systems and autonomous vehicle technology

About you  

In order to set you up for success as an Embedded Automotive Platforms Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
• Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries
• Proficiency in C++ programming language for high-performance systems
• Hands-on experience with embedded operating systems (e.g., Linux, QNX)
• Strong understanding of Middleware architectures and IPC mechanisms
• Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues
• Familiarity with Hardware Abstraction Layers (HAL) and device driver development
• Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras) and their integration with embedded systems
• Strong debugging skills and attention to detail in complex systems
• Excellent communication and teamwork skills 
• Ability to work in a fast-paced and dynamic environment

Desirable 

• Prior experience developing and deploying autonomous vehicle software on commercial automobiles
• Experience with NVIDIA Drive Orin platform, Qualcomm 8650/8620 or similar automotive computing platforms
• Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)

This is a full-time role based in Sunnyvale or Israel.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

The role 

We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.

Key responsibilities

• Develop the AI driver model architecture and training algorithms to introduce and enhance the safety behaviors for L2/L3/L4
• Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
• Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
• Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.

About you  

In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.  

Essential

• Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration).
• Proven Experience taking ML models into production, including working through real-world constraints and quality and safety requirements.

Desirable

• Reinforcement learning experience (especially where it materially improved real-world performance).
• Experience with end-to-end driving models and / or transformer networks 
• Automotive or OEM experience, or prior work that involved deploying ML into safety-critical systems.
• Experience with a Pytorch lightning training infrastructure 

This is a full-time role based in our office in Israel.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
• No Japanese language required. 

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Software Engineering Manager - SRE

In this role, you will be responsible for:

• Lead a distributed team of 3 SRE engineers as a part of Global SRE group and report to the Director of SRE &DBOps.
• Drive incident response and post-mortem processes, fostering a culture of continuous improvement. 
• Design, build and improve internal tools and automation software to make maintaining production services easier and safer.
• Lead reliability-focused practices such as SLO (Service Level Objective) design and implementation, Failure Analysis, Load and Capacity Planning, Service Reviews, Architecture Designs, Incident Postmortems, and others. 
• Participate in the on-call rotation, providing expertise and support during critical system incidents and ensuring timely resolution.
• Ensure high technical standards and overcome various technological challenges.
• Be accountable for the team's output, empowering and coaching team members, setting goals, and ensuring engagement.
• Embrace values of independence, natural curiosity, ownership, and continuous improvement.

About you:

Required: 

• 7+ years in a software development or DevOps roles
• 3+ years of leading a software development or DevOps teams
• Experience with Micro Services architecture
• Experience with troubleshooting high-load Production issues
• Experience working with one of the major Cloud providers (AWS, GC, Azure) on infrastructural level
• Experience with Agile methodology
• Experience with DevOps tools and practices and a mindset to learn new skills
• Proven ability to lead, mentor and drive people
• Strong verbal and written communication skills in Hebrew and in English

Preferred:

• BS/MS in Computer Science or equivalent industry experience.
• Experience working on large-scale, high-traffic platforms.
• Distributed monitoring experience with logging, metrics and tracing using OpenTelemetry, Prometheus and other observability platforms 
• Additional scripting languages: bash, powershell, python
• Previous experience working as SRE

Why join Tipalti?

Tipalti is one of the world’s fastest-growing fintech companies. We free finance professionals to lead by modernizing the entire payables operation. We are a well-funded, late-stage start-up backed by high-profile investors. Our 2021 Series F funding round raised $270 million, valuing us at over $8.3 billion. With total funding of just over $550 million, and with more than 5000 global customers, Tipalti is one of the most valuable private fintech companies in the world.

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

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

About Our Tel Aviv Offices:

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

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

Parking - Parking is available for all employees.

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

#IL-hybrid

The role

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

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

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

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

Your responsibilities will include

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

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

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

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

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

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The Role

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

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

The role 

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

Your responsibilities: 

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

Must-haves: 

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

Nice-to-haves: 

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

We conduct coding interviews as part of the process.

The role 

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

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

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

Your responsibilities will include:

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

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

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

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

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

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

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

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

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

It will be an added bonus if you have:

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

We expect you to have:

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

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

• Technical Expertise:

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

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

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

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

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

• Soft Skills:

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

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

  • Discretion and integrity when handling sensitive information.

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

• Key competencies:

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

  • Strong problem-solving and critical-thinking abilities.

  • Proactive mindset with a focus on continuous improvement.

  • Commitment to confidentiality and data security.

The role 

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

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

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

Your responsibilities will include: 

Planning & Coordination

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

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

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

On-Site Delivery & Installation

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

Quality & Readiness

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

Collaboration & Reporting

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

We expect you to have: 

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

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

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

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

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

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

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

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

It will be an added bonus if you have: 

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

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

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

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

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

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

The role 

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

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

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

Your responsibilities will include: 

Deep Technical Investigation (Primary Focus)

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

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

• Own technical workstreams during high-severity incidents.

Vendor & R&D Collaboration

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

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

• Track outcomes and ensure knowledge flows back to operations.

Firmware & Platform Readiness (BIOS/BMC)

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

• Help operationalize platform standards across datacenters.

Knowledge & Enablement

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

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

Hands-on Support (As Needed)

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

We expect you to have: 

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

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

• Structured incident response experience and clear communication under pressure.

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

• Fluent English (written and spoken).

It will be an added bonus if you have: 

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

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

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

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

• Experience supporting enterprise bare metal customers under contractual SLAs.

The role

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

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

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

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

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

Some examples of what your responsibilities might include are:

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

We expect you to have:

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

Nice to have:

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

About the role:

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

Responsibilities:

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

• Improve performance of inference engines GPU platforms 

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

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

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

Required Qualifications:

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

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

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

• Solid understanding of CPU/GPU architecture and memory hierarchy 

Preferred Qualifications: 

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

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

• Knowledge of Linux internals, drivers, or compiler toolchains 

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

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

We conduct coding interviews as part of the process.

The role

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

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

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

We expect you to have:

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

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

• Experience with training large models on multiple computational nodes

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

• Strong software engineering skills (we mostly use Python)

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

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

• Strong communication and leadership abilities

Nice to have:

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

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

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

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

• Open-source projects that showcase your engineering prowess

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

The role

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

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

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

We expect you to have:

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

Nice to have:

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

The Role

Your responsibilities will include:

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

We expect you to have:

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

It will be an added bonus if you have:

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

We conduct coding interviews as part of the process.

About Tavily Team

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

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

The Role: Senior Backend Engineer (Tavily)

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

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

What You’ll Do

• Design and build high-performance distributed systems

• Design and implement backend infrastructure and API endpoints

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

• Improve performance, monitoring, and reliability across the stack

• Own core systems and contribute to key architectural decisions

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

What You Bring

• 5 years of professional software engineering experience

• Strong backend development skills

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

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

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

• Strong sense of ownership and accountability over outcomes

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

• Based in Tel-Aviv or open to relocating

Nice To Have

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

The role

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

Your responsibilities will include:

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

We expect you to have: 

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

Nice to have:

Experience designing high-load and scaling services.

We conduct coding interviews as part of the process.

The role

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

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

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

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

What’s inside the platform

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

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

What you’ll do

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

In this role, you will:

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

Example projects

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

Tech stack

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

What we expect

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

Nice to have

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

We conduct coding interviews as part of the process.

The role

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

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

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

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

Your responsibilities will include: 

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

We expect you to have:

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

Nice to have:

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

The role

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

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

Your responsibilities will include: 

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

We expect you to have: 

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

It will be an added bonus if you have: 

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

The role

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

Your responsibilities will include: 

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

• Proactively identify and manage resolution of technical and operational issues

• Managing risks and dependencies in live environments

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

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

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

• Collaborate with cross-functional teams.

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

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

We expect you to have:

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

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

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

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

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

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

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

• Activity, responsibility and purposefulness

• Ready for occasional business trips

It will be an added bonus if you have:

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

• Relevant technical certifications 

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

The role

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

Your responsibilities will include

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

• Execute workarounds and solutions for IT hardware issues

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

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

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

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

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

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

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

• Knowledge of network equipment and troubleshooting

• Driving license type B

The role

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

Your responsibilities will include

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

• Execute workarounds and solutions for IT hardware issues

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

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

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

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

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

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

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

• Knowledge of network equipment and troubleshooting

• Driving license type B

The role

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

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

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

Your responsibilities will include

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

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

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

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

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

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

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

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

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

Your responsibilities will include

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

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

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

• Improve support processes, documentation and training materials

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

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

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Driving license type B

The role

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

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

Your responsibilities will include

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

• Report to hardware problem management, execute workarounds and solutions

• Solve proactively L1/L2 tasks through ticket system

• Update new processes and documentation for IT hardware team

• Collaborate with Technical Project Manager on current projects

• Participate in technical projects implementations

• Oversee 3rd party contractor activities during project implementations

• Basic level of network tasks, troubleshooting and support

Requirements

• Knowledge of datacenters, and server equipment

• Advanced knowledge of IT hardware and practical experience of troubleshooting

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

• Experience with equipment monitoring, data analysis and presentation

• Basic understanding of Project Management methodologies

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

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Knowledge of network equipment and troubleshooting in advanced level

• Proven project management experience in IT Infrastructure domain

• Bachelor degree in Computer Science

• Driving license type B

We are looking for a Hands-On Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.

The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end — writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.

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)
• 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 and IS teams 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:

• 2-3 years of proven experience with AI solutions
• Strong hands-on software development experience, including writing, maintaining, and delivering production-quality code
• Strong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems
• Strong Python skills and a production-focused engineering mindset
• Experience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutions
• Experience bringing AI agents, GenAI applications, or automation solutions into production
• Solid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices
• Ability to work directly with non-technical stakeholders and translate business needs into technical solutions
• Experience with AWS AgentCore, n8n, UiPath, Make, Workato, or similar is an advantage
• Experience with enterprise AI governance, security, compliance, and privacy requirements is an advantage
• Strong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven

We are looking for a Hands-On Team Lead – Agentic Engineering to lead, build, and actively contribute to a new team focused on applying AI agents, and intelligent workflows to improve business processes across the organization. 

This role is both a technical leadership role and a hands-on engineering role. The successful candidate will manage the first Agentic Engineer, help grow the team, and personally contribute to the design, development, integration, and deployment of agentic AI solutions. 

The ideal candidate is someone who can lead from the front: writing code, designing architectures, building prototypes, reviewing technical work, solving complex implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI-driven solutions. 

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)  
• 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 and IS teams 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  as a hands-on as lead engineer, solution architect, AI lead or similar role. 
• 1-2+ year proven experience with AI solutions. 
• Managerial Experience for small teams, either direct or matrix based. 
• Strong hands-on software development experience, including writing, maintaining, and delivering production-quality code. 
• Proven experience managing, mentoring, or technically leading engineers. 
• Strong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems. 
• Strong Python skills and a production-focused engineering mindset. 
• Experience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutions. 
• Experience bringing AI agents, GenAI applications, or automation solutions into production. 
• Solid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices. 
• Ability to work directly with non-technical stakeholders and translate business needs into technical solutions. 
• Experience with AWS AgentCore ,n8n, UiPath, Make,Workato , or similar is an advantage. 
• Experience with enterprise AI governance, security, compliance, and privacy requirements is an advantage. 
• Strong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven. 

About the Team

This position is part of Tenable’s global CTO group. We are building a world-class team of cybersecurity and AI researchers and engineers to take Tenable into the future of AI.

The CTO group operates across all product groups and organizations within Tenable. Our mission is to research, invent, and prototype next-generation AI-driven security capabilities, then work closely with product and engineering teams to turn those innovations into real-world defenses. We move fast, embrace experimentation, and operate at the frontier where advanced AI systems meet enterprise infrastructure.

Your Opportunity

As a Senior AI Engineer in Tenable’s global CTO group, you will play a central role in building the next generation of AI-powered security capabilities across Tenable’s product portfolio. This role is focused on rapid prototyping, experimentation, and innovation, turning emerging ideas into working product features that can scale across multiple products and technology stacks.

You will design and build AI-driven systems end-to-end, from agent-based workflows and model integrations to backend services, data pipelines, and product-facing capabilities. You will work closely with product, engineering, and research teams across the company to explore new use cases, validate ideas quickly, and bring impactful AI features into production.

This role is ideal for an experienced AI engineer who enjoys moving fast, working across boundaries, and building real production systems, not just experiments. Your work will directly influence how AI is embedded across Tenable’s platforms and how customers experience secure AI at enterprise scale. 

What You Will Need:

• 8 or more years of professional experience in software engineering, with significant hands-on experience in AI engineering or applied machine learning.
• Strong expertise in building AI-powered systems, including LLM-based applications, agents, and orchestration workflows.
• Proven experience integrating and operating AI and ML models in production environments.
• Proficiency in multiple programming languages, including Python and at least one of the following: .NET, Go, or similar backend languages.
• Experience working across diverse technology stacks and product architectures.
• Solid understanding of backend system design, APIs, and distributed systems.
• Strong experience with databases, including data modeling, performance considerations, and working with both relational and non-relational systems.
• Practical experience with DevOps practices, including CI/CD pipelines, containerization, and cloud-based deployment.
• Comfort working in cloud environments and modern infrastructure platforms.
• Ability to rapidly prototype, iterate, and evolve ideas into production-ready features.
• Strong ownership mindset, curiosity, and ability to collaborate across teams.

Nice to Have:

• Experience designing and building AI agents for real-world workflows.
• Hands-on experience training, fine-tuning, or evaluating machine learning models.
• Familiarity with MLOps practices and model lifecycle management.
• Experience working in security, cloud platforms, or large-scale SaaS products.
• Ability to communicate complex AI concepts clearly to both technical and non-technical audiences.

#LI-NT1

#LI-Hybrid

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

About the Role:

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

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

What You'll Do:

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

What You'll Bring:

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

Preferred, but not required:

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

Your Role:

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

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

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

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

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

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

What You’ll Need:

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

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

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

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

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

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

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

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

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

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

Your Role:

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

Your Opportunity:

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

What You'll Need:

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

#LI-VA1 #LI-Office

Location: Kfar Sava, IL (hybrid)

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

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

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

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

What You’ll Do: 

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

What We Need: 

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

Unstoppable Qualities: 

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

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.