דרושים » תוכנה » Tech Lead - Cloud DevOps

We are seeking a high-caliber Junior DevOps Engineer to join our Core Infrastructure team. We are looking for a proactive professional who combines technical curiosity with a rigorous approach to problem-solving.
In this role, you won't just maintain systems; you will be a key player in scaling a global IoT platform that digitizes commercial agriculture. We value "Extreme Ownership" and are looking for a candidate who thrives in a dynamic environment where technical challenges are met with innovative, automated solutions.
Key Responsibilities
Cloud Orchestration: Experienced with AWS and/or other cloud providers.
Infrastructure as Code (IaC): Design, provision, and maintain robust cloud infrastructure using modern IaC methodologies.
Containerization: Operate and optimize containerized workloads using Docker and Kubernetes (K8s).
CI/CD Leadership: Own and streamline deployment pipelines to enhance delivery velocity and code quality.
Security & Networking: Oversee cloud networking, IAM protocols, and security boundaries to ensure a hardened production environment.
Observability & Reliability: Implement comprehensive monitoring (logs, metrics, traces) and lead incident response processes, including detailed post-mortems.
Hands-on experience (or high proficiency from intensive training) with at least one major cloud provider.
Familiarity with CI/CD tools, Linux administration, and scripting (Python/Bash).

Were looking for a hands-on, independent DevOps Engineer to lead the companys cloud infrastructure and operations. This is a standalone position for someone with at least two years of practical experience managing cloud environments end-to-end. Youll take full ownership of AWS infrastructure, ensuring system security, performance, and reliability. Youll work closely with developers and product managers, bridging development and operations, while driving automation and scalable solutions.





Responsibilities
Manage and optimize the companys AWS infrastructure.
Configure and monitor product firewalls and security tools.
Lead product deployments and updates.
Perform Java profiling (CPU & memory), analyze bottlenecks, and optimize system performance.
Build and maintain an advanced monitoring system for the companys products, covering performance, availability, and key metrics.
Write scripts to automate infrastructure and operational tasks.
Collaborate with developers and product teams on CI/CD and infrastructure.

The company's Software group is looking for an excellent experienced DevOps engineer to join the Software infrastructure team.
our company's software infrastructure CI Team is responsible for maintaining various CI flows and maintaining the high quality of the software and system products.
Your expertise will contribute to our ongoing intensive development process while maintaining live production.
Join us to make a difference in how the world drives!
What will your job look like?
Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
Help shape a structured, collaborative, and improvement-driven engineering culture.

We are looking for an experienced IT Infrastructure & Systems Architect to lead the design and architecture of complex IT environments and enterprise-scale technology initiatives. This role combines strategic thinking, systems engineering expertise, and deep technical knowledge across infrastructure, networking, cybersecurity, cloud, and disaster recovery solutions. Responsibilities
* Lead the architecture, design, and implementation of enterprise IT infrastructure solutions.
* Define technical vision and architecture for large-scale, multi-disciplinary technology projects.
* Translate business and technical requirements into scalable and secure infrastructure designs.
* Produce architecture and system engineering documentation, including HLDs, LLDs, and technical specifications.
* Design and evaluate solutions across computing, networking, cybersecurity, cloud, Storage, virtualization, and disaster recovery domains.
* Troubleshoot and analyze complex infrastructure and system -level issues in distributed environments.
* Collaborate with architects, engineering teams, project managers, and senior stakeholders.
* Drive technology innovation and contribute to strategic infrastructure roadmaps and best practices.

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.

we are looking for a Software Integration Team Lead (Hands-On Technical Lead) to join our AV group and drive SW deployment and integration for our companys next-generation autonomous vehicle platforms.
This role is ideal for a strong hands-on engineer who combines deep technical expertise with natural leadership abilities, taking ownership of complex integration efforts while actively contributing to system bring-up, debugging, and validation.
The position includes a balanced mix of hands-on integration work and team leadership, driving both execution and coordination across multidisciplinary teams.
What will your job look like?
Lead a team of Software-Hardware Integrators, responsible for deployment & integration of dedicated SW & HW toward AV validation campaigns.
Lead software deployment and integration activities for our companys next-generation AV platforms across complex HW/SW environments.
Provide day-to-day technical leadership, task prioritization, and guidance to integration engineers, while remaining closely involved in execution.
Own the integration and stability of complex AV platforms composed of multiple SoCs, networking infrastructure, sensors, and embedded software stacks.
Actively perform hands-on integration, bring-up, and debugging activities across embedded Linux systems and HW/SW interfaces.
Lead investigte and resolve complex system-level issues spanning embedded software, Linux infrastructure, networking, logging platforms, and hardware interfaces.
Serve as a technical focal point for integration challenges during validation and bring-up phases.
Coordinate integration activities across software, hardware, validation, and infrastructure teams to drive system readiness.

We are seeking an Applied Scientist to help build our next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for our customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.

We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.
What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software
Architect and own the software infrastructure enabling distributed training and inference on Huawei's custom accelerator hardware (e.g., Ascend NPU)
Drive research and development on communication libraries, runtime systems, memory management, and graph execution & synchronization at scale
Optimize end-to-end performance across large-scale clusters, covering both scale-up (multi-device) and scale-out (multi-node) configurations
Design and implement high-performance communication backends and collective operations (AllReduce, AllGather, broadcast) for distributed training workloads
Collaborate cross-functionally with hardware architects, compiler teams, and framework engineers to co-design hardware-software solutions
Publish and present research findings at top international venues (NeurIPS, EuroSys, SC, MLSys, OSDI) and represent the team externally
Mentor engineers and researchers, conduct performance and growth reviews, and shape team culture and technical direction
Partner with top academic institutions and open-source communities to advance the state of the art in distributed AI systems

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 at 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.

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