לוח משרות דרושים מתכנת Python משרה מלאה, לחיפוש זה נמצאו 157 משרות

As a Senior Backend Engineer, you will be a key contributor in designing, implementing, and optimizing our Backend Engine and application infrastructure. You will collaborate with other team members to ensure our applications are cloud-ready, scalable, and secure - enabling us to stay at the forefront of our industry. You will get a chance to work on a variety of technologies, in a dynamic and fast paced environment.

Responsibilities
Collaborate with cross-functional teams to design, develop, and deploy robust and scalable features for our cutting-edge data analytics platform.
Architect, implement, and optimize backend solutions using Python to ensure seamless data processing, storage, and retrieval.
Collaborate closely with product managers, data scientists, tech-leads to understand requirements, provide technical insights, and deliver high-quality solutions.
Continuously enhance the performance, scalability, and security of the platform and backend services through code reviews, testing, and optimization.
Stay up-to-date with industry trends and emerging technologies; proactively recommending and implementing improvements to enhance the platforms capabilities.

Join us to build cutting-edge systems, collaborate with world-class engineers, and shape how autonomous software is built in production.
We are looking for an AI Engineer to join the hunt.
Responsibilities:
Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.

We are looking for a Senior DevOps Engineer to join our team
You will report to the DevOps Sr. Manager


Location
Working at least 3 days a week from the office in Caesarea



What you will be doing:

Were looking for a Senior DevOps Engineer with strong Python skills, deep Linux (Debian based) experience, and hands-on expertise with AWS and Kubernetes. In this role, youll take ownership of automating, scaling, and maintaining our infrastructure and CI/CD systems which are critical components that power our next-gen broadband solutions. Youll work closely with senior engineers in a high-impact environment, developing internal tools and platforms that support both infrastructure and the full software delivery lifecycle. Your work will directly influence our development velocity, deployment reliability, and production artifacts quality.

Key Responsibilities

Operate and extend our Kubernetes-based and container-based platforms and orchestrate deployments on AWS.
Own and evolve our CI/CD pipelines, focused on Debian packaging, container orchestration, and cloud- native deployments.
Design and develop Python modules, tools and services to manage CI frameworks, packaging processes, and operational automation.
Work closely with development teams to diagnose and resolve complex issues across build systems, APIs, and development environments.
Maintain and improve automated build/test pipelines using Jenkins and Argo workflow.
Implement infrastructure-as-code practices using tools such as Terraform, ArgoCD, and Helm.

The Support Development Team builds and maintains internal applications that help Support Engineers work more effectively - automating repetitive tasks, streamlining workflows, and translating operational challenges into scalable technical solutions. As a Software Engineer on this team, you will own tools end-to-end, working closely with Support teams to understand their needs and deliver impactful solutions. The team's primary language is Python, with Go used on selected projects, Kubernetes-based infrastructure, and occasional frontend work in NextJS.

Responsibilities:

* Develop and maintain Python-based tools that enhance the efficiency and workflow of Support Engineers
* Work directly with Support Engineers to understand their challenges and translate them into actionable technical solutions
* Identify and integrate improvements into the existing tool ecosystem, continuously seeking modernization opportunities
* Troubleshoot tool-related issues and ensure minimal downtime for internal users
* Write and maintain clear documentation to support scalability, onboarding, and knowledge sharing
* Explore emerging technologies and propose innovative approaches to improve team solutions
* Contribute to Go-based projects and work within Kubernetes-based infrastructure as part of ongoing modernization

At Infinidat, a Lenovo company, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. The company’s software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing storage technologies. We are seeking a highly skilled and ambitious Python Developer to join our Infrastructure Development Team. As a Python Developer, you will play a crucial role in architecting, developing, and maintaining the core infrastructure that powers our innovative solutions. You will build applications, API backends, libraries and infrastructures which will be used by many other teams within Infinidat. These applications can range from small to large scale applications. The majority of development is in Python but some of it is in Rust and other languages.

Responsibilities:

* Design, develop, and maintain robust and scalable infrastructure solutions using Python, ensuring high performance, reliability, and security.
* Full ownership over design and implementation of our web applications, API backends or libraries.
* Be in charge of constantly improving our infrastructure.
* Experiment with new technologies, find cool new ways of doing things.

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a talented Python Developer to join our growing Hardware Infra team, part of our R&D group. In this role, you will play a crucial part in architecting and developing the core infrastructure and tools that power our innovative solutions, ensuring our products are tested, shipped, and maintained to the highest quality standards. If you are innovative, passionate, and constantly looking for creative ways to improve product testing architecture and infrastructure, come and join us!
Responsibilities:

* Enhance and maintain appliance tools that monitor our products within customer environments
* Design and develop robust, scalable testing infrastructure and complex TEST scenarios to ensure high-performance and product reliability
* Take full ownership over the end-to-end design and implementation of web application features, API backends, and appliance tools
* Collaborate with cross-functional teams (including DevOps, Software Engineering, Hardware, and Validation) to design and implement efficient, reusable, and reliable applications
* Investigate and resolve complex, hard-to-find issues such as race conditions, hardware failures, delicate timing bugs, and large-scale system anomalies.

Collaborate with product managers, designers, and fellow engineers to bring ideas to life.
Build next-generation web applications focused on user experience and scale.
Create efficient and reusable front-end abstractions and systems, while adopting AI-powered tools that accelerate UI development (e.g., Figma-to-code generation).
Craft secure, scalable, and maintainable backend services, and contribute to decisions around how AI/MCP capabilities are exposed across microservices.
Lead architecture design, implementation, and monitoring of solutions.
Perform code reviews, drive engineering best practices, and help the team adopt AI tools that boost productivity and improve developer experience.
Champion modern technologies - including AI integrations, MCP patterns, observability, and automation - to push our engineering organization forward.

We seek a skilled Senior Infra Backend Engineer to join our R&D office in Tel Aviv, working in a hybrid and flexible model.
Youll collaborate with a top-tier R&D team and take your professional growth to the next level. Our backend infra teams work mainly with Python and Go, but we welcome talented backend engineers from any language background.

Example Projects

Researching and running POCs of new technologies to select the optimal solution for system requirements.

Migrating massive amounts of user-level data into Iceberg, while keeping scale and cost efficiency in mind.

Designing and implementing a robust pipeline capable of ingesting billions of real-time events daily (hundreds of thousands per second).

Exploring and choosing database and streaming technologies to support a rapidly growing clientele base.

Leading the design and development of a new streaming ETL product with low memory footprint and efficient processing.


Key Responsibilities

Design and build scalable pipelines processing billions of events daily.

Dive deep into infra technologies and optimize them at scale.

Lead major efforts from idea initiation → design → implementation.

Tackle complex challenges in scalable architecture within our AWS environment.

Integrate and leverage top industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.

We are looking for a top-notch Senior Full Stack Engineer who will work on our next first-to-market AI-powered products and create elegant solutions using the latest technologies. This position will be based in our R&D office in the heart of Tel-Aviv.

In this role, you will be responsible for designing, developing, and maintaining end-to-end (client and server) features and web applications. You will work closely with our design, product, and AI teams to translate complex requirements into intelligent, user-friendly experiences powered by data and automation.

As part of growing AI initiatives, you will help build products that leverage LLMs, AI agents, and advanced analytics to deliver actionable insights for marketers at scale. You will have the opportunity to work on innovative AI-driven experiences, integrate modern AI infrastructure and tools, and shape how customers interact with and understand their data.

We deeply encourage our engineers to develop a deep understanding of our industry, our customers, and emerging AI technologies, while continuously growing their engineering skills. You will also have the chance to work in one of the most professional R&D teams in the startup community and grow professionally.
Key Responsibilities


Build and maintain backend services responsible for integrating with a wide variety of APIs, webhooks, and partners.

Design, develop, and own integration flows end-to-end: architecture, implementation, deployment, and monitoring.

Work on data pipelines handling large volumes of streaming and batch data with high reliability and low latency.

Ensure data accuracy and consistency across ingestion, transformation, and storage layers.

Collaborate with product, data engineering, and customer-facing teams to understand edge cases, resolve production issues, and improve partner integrations.

Take ownership of features and systems while proactively identifying gaps and driving improvements.

Integrate and leverage industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.

Were looking for people who are passionate about solving problems, dont shy away from leading features and projects, and are sharp and creative enough to find outside-the-box solutions to our wide range of product initiatives



What you'll do:

Design & Scale Core Pipelines: Architect, implement, and deploy our complex, highly-scalable data processing pipeline focused on analyzing massive amounts of data.
Tackle Diverse Data Challenges: Work hands-on with vast construction data-ranging from scheduling and BIM to video processing and 3D model analysis. Architect and integrate various Computer Vision and data processing algorithms into a robust, cloud-based production environment to generate unique insights.
Ensure Performance: Maintain a relentless focus on performance, reliability, and scalability as you process data from real-world construction sites globally.
Tech Stack Focus: Develop primarily using Python in a modern cloud infrastructure (AWS preferred).
Advanced AI Integration: "Skilled in pushing AI tools to the next level- moving from simple chat interfaces to building autonomous scripts, agents, or custom workflows that optimize system performance and reliability.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance and observability are baked in from day one