לוח משרות דרושים מהנדס תוכנה, לחיפוש זה נמצאו 609 משרות

we are looking for a Senior DevOps Engineer.
As Senior DevOps Engineer, you will play a critical role in shaping our infrastructure, deployment pipelines, and operational foundations. This is a hands-on, high-ownership role with real influence over how the company builds, deploys, and operates its systems in production.
Youll be building infrastructure that supports work with frontier AI labs such as Google, Anthropic, and OpenAI, and meets the scale, security, and reliability standards this ecosystem requires. This includes architecting ephemeral, on-demand environments, and spinning up and tearing down multi-service deployments (VPCs, compute, serverless components, and more) as needed.
You will work closely with research, engineering, security, and leadership to design and maintain scalable infrastructure, improve system reliability, and enable fast, safe, and secure product delivery.
Key Responsibilities:
Own and evolve cloud infrastructure, with a strong focus on scalability, security, and reliability
Design, build, and maintain end-to-end CI/CD pipelines and deployment workflows
Lead and continuously improve containerized environments (Docker, Kubernetes)
Build and maintain Infrastructure as Code and automation frameworks (e.g., Terraform)
Own production readiness: availability, monitoring, logging, alerting, and incident response
Work closely with engineering and research teams to support development, testing, and production needs
Drive improvements in system performance, reliability, and security posture
Take part in - and often lead architectural decisions and long-term infrastructure planning
Act as a key operational owner in a fast-growing startup, setting best practices and standards

We are looking for a C++ Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!

Responsibilities
Design and implement multi-architecture and cross-platform software solutions in C++ for Linux and Windows OS.
Maintain software application interfaces in Java, Python, and C#.
Contribute to the full life-cycle development, integration, and deployment of software solutions in advanced testing equipment.
Collaborate within a multidisciplinary team environment across scientific and engineering disciplines.
Conduct code reviews to enhance software engineering quality.

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.

Key responsibilities

Lead a team of data scientists, data engineers and product analysts.

Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation.

Drive excellence, code quality, and best development practices.

Provide technical direction and hands-on guidance for complex AI systems.

Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences.

Ensure AI solutions are safe, scalable, observable, and continuously improving.

Lead initiatives around product data analysis and experimentation.

Analyze user interactions with product features to improve accuracy, UX, and business impact.

Partner with product teams to define metrics, dashboards, and experiments that guide product improvements.

Design system architectures for AI-enabled applications at scale.

Evaluate and select technologies for AI platforms and data pipelines.

Guide the development of prompt engineering frameworks and centralized prompt management.

Ensure robust monitoring, evaluation, and feedback loops for AI outputs.

Translate product and business goals into technical roadmaps and execution plans.

Drive alignment between AI capabilities and measurable product outcomes.

We are looking for a brilliant, curious and creative Senior Full-Stack Engineer with a passion for data thats ready to take on a huge opportunity to solve tax, and save people time and money. If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey.

Key responsibilities

Lead and own full-cycle (from idea to production) projects that are directly used by and impact millions of people.

Work closely with the product & UX to define product requirements and execute the development plans.

Design system architectures, select/ evaluate tools.

Build cloud-native microservices.

Mentor, and grow the team, our practices, and our technology stack.

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 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 . 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.