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We are seeking a highly skilled and hands-on Application Security Lead to take ownership of our product and infrastructure security. Reporting directly to the CISO with a dotted line to the CTO, you will act as the critical bridge between our Security and Engineering teams, driving a robust "security-first" culture.
While this role encompasses both application and infrastructure security, our primary focus is on the Application Security domain. You will lead our transition towards a mature DevSecOps organization, ensuring that security is seamlessly embedded into every phase of our SDLC without compromising delivery speed.
Key Responsibilities:
Application Security & Secure Engineering:
Secure SDLC Integration: Embed security practices throughout the entire SDLC, from initial design and planning to deployment and maintenance.
Threat Modeling & Architecture: Lead threat modeling (e.g., STRIDE) and architectural reviews for high-risk features like authentication, PII, and payments.
AppSec Tooling & Automation: Integrate and manage automated security scanning (SAST, SCA, DAST) within CI/CD pipelines to ensure code integrity seamlessly.
Mobile & API Security: Enforce least-privilege models for API configurations. Lead security initiatives specifically tailored to mobile environments (iOS/Android), protecting our core mobility platform.
Offensive Security & Pentesting: Orchestrate internal red teaming and external penetration tests for web and mobile applications. Manage Vulnerability Disclosure Programs (VDP) / Bug Bounties.
Developer Empowerment & DevEx: Collaborate with developers to provide automated tools, coding guidelines, and frictionless guardrails for secure-by-design development, ensuring security acts as an enabler, not a blocker.
Incident & Vulnerability Management: Act as the technical escalation point for application security incidents, leading detection and recovery efforts, while prioritizing vulnerabilities across the product suite for timely remediation.
Cloud & Infrastructure Security:
Cloud & Network Posture: Manage cloud security posture (CSPM) across AWS/GCP and oversee broad network security measures, including WAF, Bot management, and environment segmentation.
Pipeline & Secrets Management: Secure the CI/CD infrastructure against tampering and enforce robust secret management and secure repository controls across the organization.
Resilience & Recovery: Manage disaster recovery (DR) and business continuity planning for production environments.
Governance, Culture & Compliance:
DevSecOps Strategy: Lead the strategic evolution of DevOps into a mature DevSecOps model, aligning with industry frameworks like OWASP SAMM and NIST SSDF.
Metrics & Measurement: Define and track key security metrics (e.g., MTTR, vulnerability density) to measure and improve program effectiveness.
Security Champions: Build and mentor a Security Champions program within R&D to scale security knowledge and foster a grassroots culture.
Compliance & Privacy: Ensure continuous compliance with PCI-DSS, ISO27001, and GDPR, championing privacy-by-design principles across all user data and R&D operations.

We are looking for a hands-on QA & Automation Team Lead who embodies ambition and positivity.
Someone who can passionately take ownership of quality across our high-level software, lead by example, and collaborate effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
- Own the quality and test automation strategy across QM's high-level software, including our SDKs, APIs, user-facing tools, and the services around them.
- Lead a team of QA and automation engineers - setting technical direction, mentoring, and growing the team's capabilities while staying hands-on.
- Design, build, and maintain robust automation frameworks and the test suites that run within our CI flows, validating functionality, performance, and stability.
- Define test plans, coverage goals, and quality gates in close partnership with R&D, architecture, and product teams.
- Partner with DevOps to integrate test suites into the CI/CD pipelines they own, ensuring quality gates are well-defined and effective.
- Own Tier 2 customer support for software issues - investigating escalations, reproducing and diagnosing problems, driving them to resolution, and feeding insights back into test coverage and product quality.
- Drive root-cause analysis and continuous improvement of test reliability, flakiness, and release confidence.
- Establish metrics and reporting that give the organization clear, actionable visibility into product quality and release readiness.

A leading and innovative company in the field of cyber threat intelligence is looking for a Backend Team Lead to join our growing engineering group and lead one of our core backend teams.
In this role, you will lead a team responsible for building and scaling mission critical backend services that power our intelligence platform handling large volumes of data, complex pipelines and high-availability systems. You will combine people leadership with hands-on technical leadership, working closely with product, research and operations to deliver reliable, scalable solutions that directly support the companys growth and business goals.
What Youll Be Doing;
Lead and grow a backend engineering team, creating a culture of ownership, quality, and continuous improvement.
Own the design, development, and delivery of backend services, APIs and data pipelines in a cloud-native, microservices-based environment.
Work closely with Product, Research, and Operations to translate business and intelligence needs into scalable technical solutions.
Drive technical and architectural decisions within your domain, balancing performance, reliability, and cost.
Maintain high engineering standards through code reviews, testing, and CI/CD best practices.
Be hands-on in the code (around 50-60%), leading by example.
Take full ownership of your teams roadmap, delivery, and technical health.
Technology stack includes: C#, NestJS, Kubernetes, Kafka, and various relational and non-relational databases, Elasticsearch.

We are looking for a strong Backend Software Engineer to bridge the gap between our Machine Learning research team and our enterprise production systems. You will act as the technical backbone for our ML Scientists - by advising, designing and implementing the production facing features. If you are a backend expert who wants to solve complex system architecture challenges and dive into the world of ML platforms & Agentic LLM pipelines, this is the role for you - An exciting role collaborating with ML science team, data/infra team and DevOps to drive real customer impact.



As a ML Engineer, you will:



Lead ML delivery: transforming research output (code, models, ideas) into robust, scalable, low-latency microservices in production

Help architect e2e solutions to real customer pains ranging from ingestion, integration, ETLs, DB design up to low-latency services

Design, build, and maintain automated workflows for ML models, including auto-trains, benchmarking, testing, performance gating, and production deployment.

Tackle complex backend challenges: optimizing API response times, managing database connectivity and concurrency at scale, balancing accuracys drive for complex questions with the business needs of fast responsiveness by making hard technical trade-offs between customer gains and business costs.

Design and optimize data pipelines and ETL processes, connecting our Snowflake data warehouse to our training environments.

Work within our existing ML infrastructure (Kubeflow, MLflow, KServe) to ensure smooth model lifecycles and performance monitoring.

Collaborate closely with ML Scientists, guiding them on software engineering best practices without slowing down their research.

Monitor and optimize production models for performance, cost efficiency, availability, and observability.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.

As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.

Your focus will be to champion Foundry Projects born in the CTO office. Imagine shaping the architecture of multiple 'internal startups,' aligning them with the ecosystem while charting a strategic path to production. You will balance the urgency of moving fast with the foresight to build 'right and smart,' ensuring these innovations are ready to scale the moment they hit our core environment.

What Youll Do
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.

Were a small, experienced, and tight-knit engineering group at our company, building an advanced AI-powered solution for medical research.
Our platform empowers researchers and healthcare organizations to define populations, analyze real-world data, and accelerate scientific discovery responsibly and securely.
Weve been working together for years, driven by a shared mission and a culture that values delivery, ownership, quality, and impact.
Were now looking for another meaningful team member to join us! Someone who loves to build, cares deeply about user experience, and wants to make a real difference in healthcare through technology.
Design and build rich, data-centric web applications used by researchers worldwide.
Work across the stack with a strong emphasis on frontend architecture, performance, and UX, while collaborating with backend and AI engineers.
Deliver high-quality, scalable, and secure software features end-to-end.
Contribute to architectural discussions, product direction, and team culture.
Help push forward a cutting-edge medical AI co-pilot that turns complex data into actionable insight
Be part of a small, highly capable team where every engineer has a real voice and visible impact on the product, the technology, and the mission.
Work with people who care deeply about craftsmanship, collaboration, and purpose - not just shipping features.
Build technology that directly advances medical research and improves lives.
Enjoy autonomy, ownership, and end-to-end responsibility, from concept to production.
Join a company that blends startup agility with a clear, long-term vision to transform healthcare through AI.

We are looking for a Software QA Automation Engineer to contribute across Scrum teams and help ensure software quality, reliability, and safety throughout the development lifecycle.

This is an on-site, full-time position based in Kefar Sava, Israel, reporting directly to the Software QA Team Leader. The engineer will own both manual and automated testing, work closely with software development teams, contribute to Continuous Integration and Continuous Delivery (CI/CD), and help embed quality from day one.
Responsibilities may include the following and other duties may be assigned:
Develop, implement, and maintain automated test solutions within CI/CD pipelines for end-to-end functional and regression scenarios.
Own manual and automated test execution and reporting within assigned Scrum teams, including functional, regression, and exploratory testing as part of sprint delivery.
Analyze test results and failure trends to provide actionable insights and communicate findings clearly to developers and stakeholders.
Participate in sprint ceremonies and collaborate with developers to improve software testability throughout the development lifecycle.
Contribute to automation standards and testing best practices across Scrum teams.
Share automation capabilities and knowledge to align testing approaches across teams.

Required Senior Backend Engineer
What you'll do:
We're a platform by developers, for developers. Your role will encompass end-to-end design, implementation, and daily feature delivery, with a heavy focus on building the integrations infrastructure that power our portal.
Design, build, and maintain robust, scalable connectors and integrations - connecting external developer tools directly into us at scale.
Beyond technical work, you'll assist in planning, grow our engineering team's skills, and help recruit new talent. By contributing to our open-source projects, you will also take part in maintaining open sources and collaborate with developers around the world. You won't just build; you'll shape the future of developer experiences.
Who You'll work with:
As a Backend Engineer, you'll be joining a collaborative and dynamic team of talented and experienced engineers where creativity and innovation thrive.
You'll closely collaborate with our dedicated Product Managers, working hand in hand to bring our Agentic SDLC platform to life.
Your input and expertise will have a significant impact on the product's development, as it's tailor-made for developers like you.
Additionally, you will have the opportunity to work closely with our customers and engage with our product community. Your insights and interactions with them will play an important role to ensure we deliver the best product possible.
Together, we'll continue to empower platform engineers and developers worldwide, providing them with the tools they need to create seamless and robust Agentic SDLC Platform. Join us in our mission to revolutionize the developer experience!

As a Staff Engineer, youll play a leading technical role across our Data & AI domains - agent workflows, close management, and data & network. Youll design and build the foundational systems that power these products, working on high-impact, mission-critical services and helping set the technical bar for the team.
What youll do:
Own features end-to-end - Take ideas from early concept through production across agent workflows, close management, and data & network. You wont just write code - youll ship real systems, iterate quickly, and see the impact of your work in production.
Think beyond the task - Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role.
Leverage AI-accelerated development practices - Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure.
Backend-focused, full-stack mindset - Your core focus will be backend systems across agent workflows, close management, and data & network, but youre comfortable operating across APIs, data, infrastructure, and DevOps when needed.
Mentor and guide the team - Support and mentor engineers, and guide architectural decisions to raise the technical bar across the team.
Partner across stakeholders - Work closely with Product and Engineering Management to ensure alignment on mission, prioritization, and team focus. Be a focal point for engineering questions, bringing a business mindset and a clear understanding of our goals.
Design for scale - Build backend services that are reliable, maintainable, and architected to scale with the platform.

As the Team Lead, Technical Account Manager (TAM), you will lead a team responsible for delivering excellent technical account management, with a focus on guiding the seamless onboarding of new customers. You will ensure your teams success in building strong customer relationships, addressing technical issues related to observability, and maintaining data-driven operational excellence. This role requires technical depth in logging, monitoring, and observability tools as well as strong leadership skills.



Key Responsibilities:

Leadership & Team Development:

Lead, mentor, and manage a team of TAMs to ensure successful customer onboarding and long-term success.
Develop KPIs for the team and track performance related to the onboarding experience, ensuring customer satisfaction.
Provide technical guidance and foster team collaboration on observability tools and log analytics.
Technical Expertise & Customer Engagement:

Oversee the implementation of observability tools, guiding customers through Logs, Metric and Traces monitoring, and real-time analysis.
Ensure that your team delivers expert-level onboarding and ongoing, for our observability and logging solutions.
Provide deep technical insights on cloud observability and integration of Coralogix into customer infrastructures.
Customer Relationship Management:

Be the primary escalation point for customer technical challenges.
Proactively work with customers to enhance their logging and observability practices, integrating them seamlessly with Coralogixs platform.
Engage with Coralogix stakeholders to provide tailored technical solutions that align with customer business goals.
Data-Driven Leadership:

Leverage customer feedback and usage data to enhance the onboarding process and overall TAM team performance.
Analyze patterns in customer data, ensuring that your team applies data insights to improve observability outcomes and preempt issues.
Collaborate with internal teams on product enhancements, informed by your team's customer data analysis.

We are looking for an experienced Software Engineer (4+ years) to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development program.
In this role, you will act as an AI Champion and Technical Mentor within the clients R&D organization. Your mission is to help development teams effectively integrate AI tools, agentic coding workflows, and best practices into their daily software development lifecycle (SDLC). You will help guide teams through AI adoption, help overcome resistance, and ensure AI delivers real value.
This is not a feature-delivery or coding-focused role, especially in the early stages, the position is centered on enablement, training, and integration, working closely with teams to embed AI development tools into real workflows and support the organizations AI transformation.
This is a high-impact role focused on technical enablement, AI expertise, and effective collaboration with development teams, and intended for experienced engineers who actively use AI in their day-to-day development work and are looking to influence how teams work, rather than for junior profiles or engineers seeking a purely coding-focused position
What Youll Do:
Help drive adoption and optimization of Claude Code and/or similar Agentic coding tools
Support software and QA engineers, answer technical questions and help unblock teams
Stay on the cutting edge of AI releases and best practices, turn your learnings into shareable assets (custom rules, agents, skills, demos, playbooks, etc.)
Measure impact, identify gaps and improvement opportunities across the SDLC
Help defuse resistance to change with patience and empathy
Partner with DevOps, architects and management to track and optimize AI utilization.

We are looking for a CISO to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.



As CISO, you will define and execute global security strategy across both internal and product environments, serving as the primary security authority in front of customers, regulators, and auditors.



If you combine strong security leadership and cloud-native technical expertise with deep understanding of enterprise sales cycles and regulatory standards, and if you are motivated by directly influencing customer trust and enabling the world's largest financial institutions to adopt cutting-edge AI-driven solutions with confidence, could be your next challenge.



Responsibilities:

Define and lead a comprehensive, business-aligned security program that supports growth while mitigating global risk.
Act as the primary interface with customer CISOs, auditors, and regulators, leading security discussions, due diligence processes, and enabling successful deal closures.
Partner with Engineering and DevOps to secure our cloud-native architecture across AWS, Azure, or GCP, including Kubernetes environments, ensuring enterprise-grade resilience.
Embed security-by-design across the development lifecycle, including AI and ML models and data pipelines.
Own and drive compliance with global standards including ISO 27001, SOC 2, NIST, GDPR, and DORA.
Oversee modern security tooling and practices across IAM, SIEM, DLP, CASB, CSPM, and emerging AI security domains.
Lead incident response, business continuity, and cyber resilience planning, including executive-level simulations and ransomware readiness.
Own vendor risk management and ensure end-to-end security resilience across the ecosystem.

We're looking for an experienced Software Engineer to join our Data Platform Group. In this key role, you will build the company data platform: cloud-based microservices and data pipelines that process on the order of 1M records/sec at low latency. Because the platform is the foundation other groups build on, your work has a direct impact on our customers and enables engineering, product, and research teams across the organization.
The Lakehouse team owns the data itself - how it is stored, organized, retained, and served. We own our analytical storage layer, the batch processing built on top of it, and the APIs through which customers and the rest of the company consume data. If you enjoy the problems that only appear at petabyte scale - physical data layout, query performance, storage cost, and retention - this is the role.

Responsibilities:
End-to-end ownership of our large-scale analytical storage layer: data modeling, schema and table design, partitioning, retention, and query performance.
Design and develop the batch processing layer over our data lake using Spark on EMR (Java and PySpark).
Build and evolve Java/Spring Boot services that expose our data through well-defined APIs to customers and to consumers across the company.
Own performance and cost: query optimization, file layout and compaction, cluster sizing, and storage efficiency at scale.
Research new technologies in the lakehouse and analytical-storage space and adapt them for use in our product.
Work closely with product, DevOps, and security teams.

Were launching a new Financial Infrastructure team at our company to build the next generation of our payments and platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with significant ownership, autonomy, and technical influence from day one.
Youll design and build foundational systems that power our companys platform, working on high-impact, mission-critical services and helping set the technical bar for the team.
What youll do:
Own features end-to-end - Take ideas from early concept through production. You wont just write code - youll ship real systems, iterate quickly, and see the impact of your work in production.
Think beyond the task - Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role.
Leverage AI-accelerated development practices - Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure.
Backend-focused, full-stack mindset - Your core focus will be backend systems, but youre comfortable operating across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and architected to scale with the platform.

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations. You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.

What You'll Do:

MCP Development & Implementation
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services).
Build and maintain MCP client integrations for AI applications and platforms.
Implement secure authentication and authorization mechanisms for MCP connections.
Develop custom MCP tools and resources to extend AI capabilities.

Architecture & Design
Architect scalable MCP solutions that handle high-volume data access patterns.
Design efficient protocol implementations that minimize latency and maximize throughput.
Create reusable MCP components and libraries for internal and external use.
Establish best practices for MCP server development and deployment.

Integration & Collaboration
Integrate to our identity platform.
Work with DevOps teams to deploy and monitor MCP services in production environments.
Partner with security teams to ensure MCP implementations meet compliance and security requirements.
Integrate MCP solutions with existing infrastructure and third-party services.

Quality & Performance
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests.
Monitor and optimize MCP server performance and resource utilization.
Debug complex issues in distributed MCP environments.
Maintain detailed documentation for MCP servers and integration patterns.

Contribute to Open Source
Engage with the open-source community, contributing to the development and improvement of MCP.

Where You'll Be: Tel Aviv | Full-time, hybrid.