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We are looking for an exceptional, driven, and technically visionary Staff Full-Stack Engineer to help shape the future of our platform and accelerate our mission to simplify taxes for everyone. Youll play a central role in designing and building scalable systems and tools that enable our teams to deliver exceptional user experiences with speed and confidence. If you're passionate about technical leadership, enjoy solving complex architectural challenges, and want to make a meaningful impact on millions of users, wed love to have you join us.

Responsibilities

Critical, cross-functional engineering initiatives from design to development and deployment, ensuring quality and scalability.

Participate in technical decision-making and knowledge sharing across multiple teams.

Collaborate with Product, UX, and other stakeholders to deliver seamless and data-driven experiences.

Evaluate and introduce new tools, technologies, and practices that raise the bar for engineering excellence.

Guide by example - service ownership, observability, and operational best practices across the engineering organization.

Promote a culture of high standards, clean code, testing, and continuous improvement.

You will join the R&D innovation team responsible for the Exposures product, focusing on advanced features like custom security findings, CVE scoring, and prioritization. As a Principal Full Stack Engineer, you will serve as the technical focal point, driving complex end-to-end feature development in a high-growth environment. This role involves collaborating closely with Research, Integration and Product teams to define the future of exposure management.
Responsibilities:
Lead the end-to-end technical lifecycle of new features within the Exposures product using Python, Vue.js, React, MongoDB, ClickHouse, Redis, Celery, and Docker.
Act as the technical focal point and mentor full-stack teams, conducting design reviews and providing hands-on guidance for complex engineering tasks.
Collaborate directly with Product, Integration, and Research teams to translate product requirements into scalable, high-performance code.
Drive engineering excellence and productivity by integrating advanced AI tools (Claude, Augment and more) into the development workflow and product features.

We are looking for a team leader to lead the Data Pipeline engineering team. Our team is made up of strong, all-around players, well-experienced, highly motivated, independent, innovative, fast learners, great problem solvers, and great people to work with.

Our engineering challenges involve big data and stream processing in super high-scale environments, which keeps on increasing as the customers increase their usage and new customers join. Furthermore, we are seeking better ways to accurately analyze traffic patterns, identify attackers and attack vectors, and provide customers with improved visibility into their security posture.

we are looking for a Senior DevEx/DevOps Engineer.
As a Senior DevEx Engineer , you will join a core team dedicated to empowering our engineering organization by streamlining the entire software development lifecycle. Operating at the intersection of DevOps and Developer Experience, you will collaborate with R&D, Product, and Security to eliminate bottlenecks, designing and delivering robust CI/CD and infrastructure solutions that directly optimize developer productivity and velocity.
Responsibilities:
Project Leadership: Lead complex infrastructure projects from initial design through implementation and delivery.
CI/CD Optimization: Design and build high-performance pipelines using GitHub Actions and TeamCity.
Infrastructure Management: Scale cloud environments using Terraform, Ansible, and IaC best practices.

we are looking for a Senior Full-Stack Engineer (Internal Apps).
The Internal Apps team supports Axonius's growth by building high-leverage platforms and tools for over 300 internal stakeholders, including developers, security, sales engineering, and post-sales teams. Functioning as an agile startup within the company, the team moves fast to eliminate fragile operational tasks and standardize how employees work across the organization. You will take complete ownership of end-to-end products built from scratch using Python, React, PostgreSQL, Redis, Kubernetes, and AWS.
Responsibilities:
Implement and own end-to-end internal platforms and features in short, agile sprints using Python, React, and cloud-native architecture.
Build automated tooling to support the entire customer lifecycle, ranging from initial POV processes to post-sales single-tenant environment management.
Write maintainable, well-tested code following test-driven development (TDD) principles to reduce operational friction and human error.
Architect and integrate AI harnesses, AI-driven automation, or agentic workflows directly into internal business platforms.

We're seeking a talented, versatile, and highly independent Full Stack Engineer to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.

Responsibilities
Lead development processes from ideation to production
Develop, maintain, and imperialize the products application layer (front end & back end)
Collaborate with product, medical, and software teams across the organization
Build a customer-centric product with a deep understanding of the complex healthcare industry

In this role, you will build and own the techno-financial operations practice for our cloud, infrastructure, AI, data, and third-party engineering services. You will work closely with Engineering, DevOps, AI Infrastructure, Product, and Finance to make infrastructure spend transparent, predictable, optimized, and aligned with business value.

The role is in the junction of engineering and finance, You will be responsible for creating visibility into cloud and infrastructure costs, driving optimization initiatives, improving forecasting accuracy, defining cost governance practices, and helping engineering teams make better cost-aware technical decisions without slowing down delivery.

Join our Cortex Cloud security Devops team as experienced Devops engineer.
The cloud security platform empowers teams through automation and security-as-code. We are looking for a DevOps Engineer to help build, manage, and secure our infrastructure while ensuring optimal performance and reliability.
Your Impact
Design, implement, and maintain scalable cloud infrastructure solutions.
Execute on our technical roadmap and drive infrastructure improvements from concept to deployment.
Improve service uptime by building comprehensive monitoring and enforcing SLAs.
Implement robust security measures and stay updated on the latest security best practices.
Provide technical guidance on infrastructure and security to the broader engineering team.
Act as an internal user of our cloud security platform, providing valuable product feedback to the development team.

We are looking for a Linux Internals Software Engineer for our Tel Aviv R&D center. You will be part of a team that designs and develops the Linux internals components of our revolutionary endpoint security product for the Linux platform
More information about Cortex XDR product can be found here.
Key Responsibilities
Design and implement innovative capabilities for a market-leading product, deployed on a range of platforms from bare-metal to the cloud.
Develop critical components in the Linux internals parts of the product, including user and kernel-mode OS-related infrastructures in both C and C++.
Utilize cutting-edge Linux technologies for real-time event collection, anti-malware, anti-exploitation, and network filtering.
Lead features by collaborating and coordinating with other development and QA teams to ensure alignment on shared objectives.
Uphold and contribute to a team culture that values software development best practices and high standards for quality.

As a Senior Software Engineer, youll play a key role in building and scaling the data infrastructure that powers our platform. Youll work on complex, large-scale data systems that collect, process, and transform massive volumes of cloud and SaaS usage data into reliable, actionable insights for our customers.

Youll take ownership of core data pipelines and backend services, tackle challenging problems in distributed systems, and drive improvements in performance, reliability, and scalability. Working closely with engineering teams and other business units, youll contribute to architectural decisions and help shape the next generation of our data platform.

This is a high-impact role for an engineer who enjoys solving complex data engineering challenges, working with modern cloud and big data technologies, and building resilient systems that operate at scale.

Responsibilities:

Own, enhance, and improve our core platform.

Build and maintain systems for collecting and processing metrics from client environments.

Focus on system efficiency and resilient infrastructure.

Integrate well-known SaaS platforms into our big data repository (e.g., major cloud providers, Datadog, Snowflake).

Optimize Spark and Airflow processes.

Contribute to data design and platform architecture while working closely with other business units and engineering teams.

Face the challenges of testing and monitoring large-scale data pipelines.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization Autonomous execution is a new category, and we are the ones defining it — already running in production inside Fortune 500 environments , where being wrong is not an option. The team is deliberately talent-dense ; every hire changes what we are able to build next. We are looking for a Senior Full Stack Engineer with 7+ years of development experience at leading startups to own Zipher’s entire product surface — the control plane that turns autonomous decisions into something engineering leaders can see, trust, and act on. You will own it end to end: the services and APIs behind it, and the real-time interfaces built on top of them. This is a backend-heavy role: about 70% backend and 30% frontend. It is best suited for candidates whose primary expertise and passion lie in backend development.
What You’ll Do
* Own the product surface end to end : architecture, services, APIs, and the real-time interfaces built on top of them
* Set the technical direction of the control plane — stack, data contracts, and the patterns every engineer after you builds on
* Build high-throughput services that turn live telemetry from production data and AI workloads into decisions, and the explainability layer that makes those decisions readable
* Work directly with the founders on what gets built next, and lead the technical moves that follow — from what enterprise customers need to the architecture that answers it
* Drive quality end to end: testing, CI/CD, observability, and the operational bar for a product Fortune 500 engineering teams run in production
What We Offer A product that is already winning : a new category of autonomous data platform, in production inside Fortune 500 environments A domain of your own : you lead it end to end — the architecture, the stack, and the patterns every engineer after you builds on A seat on the core team : you are one of the engineers deciding what the platform becomes, not one implementing someone else’s decisions Engineering problems that are genuinely hard : real-time telemetry at enterprise scale, distributed decisions, and an explainability layer teams trust in production Engineers worth learning from : a deliberately talent-dense team, direct work with the founders, and a bar that pulls everyone up Room to grow and to lead : your ownership widens as the platform does, and the people who lead moves here keep leading them Top-of-market compensation and a meaningful equity package Ready to own the control plane for an autonomous data platform? Hit Apply.

Morning is looking for a Senior Software Engineer with a builder mindset and a strong backend orientation — someone who enjoys taking ideas from concept to production, working across different parts of the stack, and doing whatever it takes to build great products. At Morning, engineers go beyond traditional role boundaries, taking ownership of solutions end to end rather than handing work off between specialized teams. We value people who are comfortable figuring things out, learning new technologies, and using AI tools to expand what they can build. You'll join our Delivery team, working on both existing products and new features. What you'll do
* Build and ship new features and improve existing products, taking ideas from initial problem-solving through to production.
* Work across the stack and beyond traditional engineering boundaries, taking a hands-on approach to solving problems and delivering complete solutions.
* Use AI-powered development tools extensively to explore solutions, write and improve code, debug issues, and accelerate development.
* Take ownership of the quality and reliability of what you build, critically evaluating AI-generated code and validating solutions before shipping.
* Explore new technologies and approaches to find better ways to build and deliver products. Why join Morning? Our customers rely on us to manage their financial data, so quality, reliability, and trust matter. We believe great engineers shouldn't be limited by rigid role boundaries. Our team takes a hands-on, end-to-end approach to building products — combining engineering, AI tools, experimentation, and whatever skills are needed to turn ideas into reality. You'll have room to take ownership, experiment, and make a meaningful impact, with the opportunity to see your work reach customers without long development cycles.

Advantages:

* Experience working with Databricks or Spark.
* Experience in fintech or other regulated environments.

KMS Lighthouse is seeking an experienced R&D Director to lead our global engineering organization and drive the execution of our technology strategy. This role is responsible for leading multiple engineering teams through experienced managers, scaling engineering excellence, and ensuring the successful delivery of high-quality, enterprise-grade SaaS solutions. The ideal candidate is a strong people leader with extensive experience managing large-scale engineering organizations in a global environment. They will play a key role in accelerating AI adoption across the engineering organization, embedding AI-driven development practices, and leveraging AI technologies to improve productivity, software quality, and innovation.

Responsibilities:
Lead and scale the global engineering organization through engineering managers, fostering a high-performance culture. Define and execute the engineering strategy in alignment with business and product objectives. Drive AI adoption across engineering by integrating AI-powered tools and development practices that improve productivity, software quality, and delivery. Develop engineering leaders through coaching, mentorship, succession planning, and organizational growth. Partner with Product, Architecture, Customer Success, and Executive Leadership to deliver scalable enterprise SaaS solutions. Drive engineering excellence by improving development processes, operational efficiency, quality, and execution. Oversee planning, prioritization, resource allocation, and execution across multiple engineering initiatives. Stay ahead of emerging technologies and industry trends to ensure continuous innovation.