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We are looking for a Senior Software Engineer to join a specialized development unit reporting directly to the Office of the CTO.

This team functions as an internal innovation incubator, tasked with architecting and building a new AppSec AI solution from the ground up. You will enjoy the best of both worlds: the high-velocity, autonomous environment of a small startup crew, backed by the data, expertise, and stability of the broader our engineering organization. If youre a builder who loves the early-stage "blank canvas" phase and wants to solve complex problems at the speed of thought, this is for you.


What Youll Do
Bring Ideas to Life: Take ownership of complex, open-ended technical challenges and see them through from conception all the way into our customers' hands.
Build the Future of AppSec: Architect, implement, test, and optimize an AI-native application security solution.
Own the Backend & AI Architecture: Design robust microservice cloud environments and integrate advanced AI capabilities into our core product.
Engage Beyond the Code: Collaborate directly with customers, support, sales, and our executive leadership team to gather real-world insights, quickly unblock issues, and align our technical direction with business needs.
Collaborate Globally: Work closely with a distributed team of engineers and stakeholders across Israel, the US, Canada, and India to deliver high-quality MVPs and core products.

As a Senior Software Developer in Cellebrite Labs, your daily mission involves designing and developing advanced capabilities to extract digital evidence from modern Android and IOS devices. You will tackle some of the toughest security protections such as PAC, Secure Elements, Code Signing, Hypervisors, and more. Working in the heart of the Digital Intelligence Labs group, you will contribute to productizing world-unique capabilities that enable law enforcement and private sector customers to conduct legally sanctioned forensic investigations effectively and securely. This role requires a combination of deep technical knowledge, creativity, and persistence to solve complex problems while collaborating closely with top researchers and engineers. Your work will have a direct impact on investigations that save lives and uphold justice globally.



Key Responsibilities:
* Lead and contribute to the development of new extraction technologies for Android and IOS platforms.
* Analyze and reverse-engineer low-level OS internals and security mechanisms.
* Develop robust system -level software in C, C ++, and Python.
* Collaborate with cross-functional teams to design, TEST, and integrate new capabilities into Cellebrites Digital Intelligence platform.
* Stay current with emerging mobile security technologies and forensic challenges.
* Share knowledge and best practices within the team to elevate overall engineering quality.

Office Location:
Tel Aviv

We are looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. Be at the forefront of Applied AI. This role is outward-facing: you will engage with GTM and G&A functions - Sales, Marketing, Finance, HR, Legal, Customer Success - and fundamentally alter how these teams operate with AI.
Departments outside of R&D are still early in their AI journeys, and they need technically strong partners who can understand their workflows, identify the highest-leverage opportunities, and build the solutions that actually change how work gets done. If you see the value in sitting with a business leader, understanding a painful manual process, and shipping something in a week that saves hundreds of hours, then this role is for you.
Why should you join us?
This is a unique opportunity to own the end-to-end AI transformation of entire functions, with executive sponsorship and real mandate. Youll be working as part of an incredibly strong team of senior engineers at the forefront of AI. The work revolves around learning the latest tech in AI, and leveraging it to change how hundreds of people across the organization work every day.
You'll operate with unusual autonomy: scoping problems directly with function leaders, deciding what to build, shipping it, measuring impact, and iterating. You'll work closely with senior leadership to ensure your work aligns with company strategy, giving you company-wide business impact and visibility.
What you will be doing:
Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
Measure and report on AI adoption impact - unlocking new opportunities, process improvements, and capability gains - to build the case for continued investment and to guide prioritization.

Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Senior Software Engineer on the Data Platform, youll be part of one of most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across architecture.
Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across . Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!
Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS

we are looking for a Senior Software Engineer.
As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.
What You'll Do:
Design and develop platform capabilities for scalable data products tailored to enterprise customers
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create systems, feature design documentation, and implement solutions across diverse environments
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities
Mentor and guide team engineers, providing support in their daily tasks and development
Build and use monitoring infrastructure to track services, troubleshoot problems and optimize performance, throughput and costs
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data

we are looking for a Senior DevOps Engineer.
What Youll Do:
Design, scale, and operate high-throughput, low-latency infrastructure supporting RTB bidders and ML prediction services at extreme scale (2Million+ QPS).
Own production GCP environments end-to-end, including deployment, monitoring, 99.999 uptime, incident response, and post-mortems.
Build and maintain infrastructure for massive data ingestion (up to 1TB per hour), continuous ML training pipelines, and real-time prediction systems.
Develop and evolve CI/CD pipelines, DevOps automation, and infrastructure-as-code practices.
Work closely with engineering and data science teams, taking full ownership from design through production and ongoing operations.
Continuously evaluate and introduce improvements to our infrastructure stack, tooling, and operational practices.
Our core stack includes GCP, Kubernetes, Prometheus, Grafana, Python, Go, BigQuery, Redis, Prefect, Aerospike and MySQL. We are looking for someone experienced, independent, and opinionated about production systems, but still curious and eager to improve how things are built and operated.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Senior Software Development Engineer who leads through technical depth and sound judgment. Someone who owns team-level architecture, provides system-wide design guidance, and brings perspective on both current and future technology choices. You take on customer problems where the technological strategy is not yet defined, and you drive productive discussions to align teams on the best path forward. You dont just deliver high-quality software yourself - you set the standard that others follow. You actively mentor multiple engineers, drive adoption of engineering best practices, and ensure your team has strong operational foundations. You make the team permanently stronger, not dependent on your presence. When the right solution isnt technical - when its a process change, a culture shift, or a staffing decision - you recognize that and act accordingly.

Key job responsibilities
- Own team architecture of personalized recommendation system operating in our scale.
- Lead the design and delivery of cross-teams projects end-to-end, with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define technical roadmap and experiences based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and drive measurement strategies including analytics events and experiment configurations to track business and technical metrics.
- Create clarity from ambiguity and make sound technical decisions in a problem space where established patterns don't apply.
- Drive adoption of engineering best practices through exemplary personal coding practices.
- Proactively simplify existing systems and resolve endemic, root-cause problems.

We are hiring a Senior Software Developer to lead the development of our internal malware research platform. This is a senior, hands-on role with end-to-end ownership of development and delivery. You'll be the technical authority - setting code-quality standards, making the architecture calls, and mentoring the developer team.
What makes this role different is who you build for. Our users are our malware researchers, and they use the tool every day. Your job is to sit beside them, learn how they actually work, surface the heuristics and edge cases they carry in their heads, and build agentic tooling that compounds their productivity. The bar isn't "does it ship" - it's "do the researchers reach for it every day." Success is measured in researcher adoption and time saved, not features merged.
Agentic workflows are core to how we build. You should be fluent using them and confident designing systems where agents run in production - with clear judgment about where an agent earns its keep versus where deterministic code or a human-in-the-loop is the right call.
What You'll Do
Lead development and deliveryף
Own technical execution end-to-end: implementation, code review, and release.
Translate research workflows and feature requests into well-scoped tasks with realistic, risk-aware estimates the team can plan against.
Manage day-to-day execution: unblock people, sequence work, catch problems early.
Set and defend the technical bar: review rigor, testing discipline, documentation, architectural consistency.
Partner with the researchers - and amplify them:
Embed with malware researchers to understand their workflow and capture the tacit knowledge and edge cases no spec ever wrote down.
Translate that knowledge into reliable agentic tooling - and know when an agent is confidently wrong before it ever reaches a researcher.
Spend roughly 5-10% of your time doing actual malware research (with structured onboarding) to stay close to how the tool is used.
Be willing to tell a researcher when a proposed workflow won't automate well - and explain why.
Be the technical authority and mentor:
Make the hard architecture and design trade-off calls.
Mentor through code review, pairing, and design discussions. Raise the level of everyone around you.
Dive deep on the critical, difficult features and bug fixes yourself.
Design agentic workflows into the architecture from the start, and build the evaluations and guardrails that keep them trustworthy.

About the Role & Responsibilities
Build high-leverage internal platforms that power our companys decisioning and analytics.
Lead technical projects end-to-end, covering all stages from architecture to execution.
Own your work: partner closely with research, product, engineering and ops to turn complex requirements into simple, reliable systems.
Be a technical leader for our infrastructure and products.

We are looking for exceptionally diverse software developers for a leading team to design and develop our flagship product.
What you'll do:
Collaborate with cross-functional teams to deliver high-quality, secure, and scalable solutions
Stay up-to-date with the latest mobile technologies and industry trends
Design and develop a cutting-edge product, with significant impact and importance
Work closely with exceptional people in our field.
Requirements

We are looking for a Windows engineer to join us in developing cutting-edge cybersecurity projects.
As a Windows engineer, you will be dealing with:
Developing user-mode applications and complex Windows Drivers
Designing and developing components for the company's flagship security product
Low-Level R&D
End to End product development

Were looking for a Senior Software Engineer to join Data Infrastructure team, building the systems that power our Application Security platform at scale.
In this role, you will design and develop the data backbone that processes billions of security events daily, enabling real-time protection, analytics, and insights for the worlds largest enterprises.
develops cybersecurity solutions that protect critical applications, APIs, and data across cloud and hybrid environments. Our platform operates at massive scale, handling high-volume, low-latency data streams with strict reliability and performance requirements.
Fortune 500 companies rely on to secure their most asset - data.
Our stack includes AWS, Kubernetes, Kafka, Spark, RDS, OpenSearch, and Java/Spring Boot, alongside real-time components built with Go, C, and Linux.
About the Role:
As a Senior Platform Engineer on the Data Infrastructure team, you will build and evolve large-scale data systems that ingest, process, store, and serve security data across multiple products.
You will take ownership of core data services and pipelines, working on both real-time and batch processing systems. This includes improving scalability, optimizing performance, and ensuring high availability of critical data flows.
You are a hands-on engineer who enjoys solving complex data challenges and working with distributed systems at scale.
Key Responsibilities:
Design, build, and maintain scalable data pipelines (real-time and batch)
Develop and optimize systems for high-throughput, low-latency data processing
Work with streaming technologies (e.g., Kafka) and processing frameworks (e.g., Spark, Flink)
Design and manage data storage solutions across relational, NoSQL, and search systems
Improve data reliability, consistency, and observability across the platform
Collaborate with product teams to enable data-driven features and analytics
Troubleshoot and resolve complex production issues in distributed data systems
Continuously improve system performance, scalability, and cost efficiency
Contribute to architectural decisions within the data infrastructure domain

we are looking for a Sr Software Engineer.
What You Will Do:
Write Code That Secures the Platform
Develop security tooling, automation, and services as part of the Security R&D teams core engineering output.
Contribute code to product engineering codebases, working alongside product teams to embed security capabilities directly into the platform.
Build integrations with AI-powered services - both in-house and third-party - to automate and scale security workflows.
Write clean, tested, production-quality code that meets enterprise standards for reliability and performance.
Collaborate and Learn
Work alongside senior engineers and the AI Security Research team, learning the security domain while contributing strong software engineering fundamentals.
Participate in code reviews, design discussions, and sprint ceremonies, contributing to the teams engineering culture from day one.
Partner with product engineering teams during open contribution engagements, building relationships through quality work.
Grow Your Impact
Develop deep expertise in security engineering and AI security as a member of a team that operates at the cutting edge of both fields.
Take increasing ownership of components and features as you ramp up, with a clear path to broader technical leadership.
Stay curious about emerging AI/ML technologies and contribute ideas for how Security R&D can leverage them.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: owns the entire stack - runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.