דרושים » תוכנה » DevOps Engineer

Were looking for a highly skilled Full Stack Developer to join our engineering team. In this role, youll design, develop, and maintain both backend and frontend systems that power our production and internal applications. Youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms.
What will your job look like?
Design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
Build rich, responsive user interfaces using React, Angular, or Vue.
Develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and solid data modeling.
Support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
Build, containerize, and deploy applications using Docker and Kubernetes in Linux-based setups.
Implement and maintain CI/CD pipelines using GitLab CI for automated testing, integration, and deployment.
Work with AWS services to deploy, monitor, and scale cloud-based applications.
Contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
Collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

We are looking for System Software Development Engineers to help define, shape, and integrate cutting-edge solutions for the next generation of our cloud platforms. As part of our innovative team, you'll be working at the forefront of semiconductor technology development using leading-edge manufacturing processes. We offer a dynamic, open environment where teamwork thrives and rapid innovation is the norm. This is a unique opportunity to join our elite early-stage team, where you'll help develop disruptive system architectures that will shape the future of cloud computing. As a key member of Annapurna Labs, you'll be part of Amazon's semiconductor division, working alongside industry veterans to create groundbreaking solutions that power tomorrow's cloud infrastructure.

Key job responsibilities
- Work in a Linux-based environment.
- Build and maintain Linux images integrated with testing software solutions.
- Design and develop automation infrastructure for executing hardware tests.
- Develop and maintain AWS self-service applications.
- Leverage Amazon Web Services (AWS) as part of software solutions.
- Collaborate closely with internal and external customers to gather requirements and deliver solutions.
- Participate in the full software development life cycle, from design to deployment and maintenance.

We are looking for System Software Development Engineers to help define, shape, and integrate cutting-edge solutions for the next generation of our cloud platforms. As part of our innovative team, you'll be working at the forefront of semiconductor technology development using leading-edge manufacturing processes. We offer a dynamic, open environment where teamwork thrives and rapid innovation is the norm. This is a unique opportunity to join our elite early-stage team, where you'll help develop disruptive system architectures that will shape the future of cloud computing. As a key member of Annapurna Labs, you'll be part of Amazon's semiconductor division, working alongside industry veterans to create groundbreaking solutions that power tomorrow's cloud infrastructure.

Key job responsibilities
- Work in a Linux-based environment.
- Build and maintain Linux images integrated with testing software solutions.
- Design and develop automation infrastructure for executing hardware tests.
- Develop and maintain our self-service applications.
- Leverage our Web Services as part of software solutions.
- Collaborate closely with internal and external customers to gather requirements and deliver solutions.
- Participate in the full software development life cycle, from design to deployment and maintenance.

We're seeking a Software Engineer to join our development team supporting our software group.

What makes this role unique is your direct impact on AI-powered innovation - you'll be building intelligent systems that drive the development of next-generation cloud technologies.
You'll work at the fascinating intersection of AI driven automation and cloud platform development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical roles, you'll have the opportunity to influence both AI implementation and core architecture while collaborating with cloud technology experts.
The position offers rare exposure to cutting-edge cloud computing technology combined with the latest advances in artificial intelligence. You'll be part of a team that values technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role you will create groundbreaking platforms that directly shape the way we work. You'll develop smart automation solutions, implement AI-driven tools and workflows and be part of AI transformation.

Be part of an elite team developing cutting-edge AI infrastructure automation solutions supporting Annapurna Labs' innovative technology development. Shape the future of cloud computing while working with state-of-the-art cloud and AI technologies in a fast-paced environment.

Key job responsibilities
* Develop and deploy AI-powered solutions and AWS cloud services that transform development workflows.
* Lead technical innovation by driving architectural decisions and GenAI technology adoption.
* Champion AI transformation across engineering teams through education and hands-on implementation.
* Partner with elite cloud teams to identify opportunities and deliver cutting-edge solutions.
* Ensure system excellence through participation in on-call rotations and reliability initiatives.

We are looking for System Software Engineer to help define, shape, and integrate advanced solutions for the next generation of our cloud platforms.

Join our dynamic System Software team in creating innovative software solutions that power our product development lifecycle from conception to deployment. You'll develop critical tools that ensure product excellence across design, validation, manufacturing, and production environments


Key job responsibilities
Design and develop software tools for all product development stages (card level, rack level).
Collaborate with hardware engineers, firmware developers, and system architects.
Create and maintain debugging tools and utilities
Develop comprehensive documentation and provide training for tools.
Optimize testing and validation processes for coverage, speed, efficiency, and resource utilization.
Research and implement new technologies to enhance the testing ecosystem.
Support critical system troubleshooting and issue resolution.
Participate in design reviews and provide technical guidance on testability.

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.
Mentor Jr engineers as a Senior member of the team

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 Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

As a Team Lead, you will lead and mentor a backend development team working on a complex, large-scale medical imaging platform. This role combines Agile leadership with hands-on technical contribution, driving high-quality software delivery in a regulated, customer-focused environment.

Your role

You will act as the Agile facilitator and technical leader of a Radiology Informatics backend team within Image Management in Israel. You will guide the team in delivering scalable, high-performance software that supports advanced PACS solutions used by hospitals worldwide.
Serve as Scrum Master, ensuring effective adoption and continuous improvement of Agile (SAFe) practices
Lead team planning and execution toward iteration and program objectives
Contribute up to 50% hands-on software development and drive technical decision‑making.
Drive complex development efforts and resolve technical blockers
Promote clean, scalable, high-quality code and strong engineering standards
Ensure compliance with development processes, quality metrics, security, and regulatory requirements
Encourage system thinking, domain knowledge, and strong customer focus
Provide clear accountability, remove impediments, and act as an escalation point
Drive innovation through technical reviews, best practices, modern engineering approaches, and the adoption of AI development tools to enhance productivity and code quality
Collaborate with global cross-functional teams and stakeholders
Develop team capabilities through mentoring, delegation, and structured execution.

You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production.
A Day In Your Life
Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities.
Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines.
Build production-grade GenAI services, APIs, and backend infrastructure.
Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems.
Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope.
Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems.
Improve latency, reliability, fallback behavior, cost efficiency, and production readiness.
Work on customer-facing AI experiences, including conversational and proactive agentic product flows.
Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.