לוח משרות דרושים מתכנת Python משרה מלאה

We are looking for an experienced Engineering Team Leader to drive and oversee the development of our infrastructure platform.
You'll lead a team focused on building Python-based microservices, infrastructure automation, and cloud-native solutions.
This role combines technical leadership with hands-on development, emphasizing strong Linux expertise and distributed systems knowledge.
The Infrastructure group focuses on developing scalable microservices architectures and automation systems that power our platform. As the team leader, you'll guide the development of Python-based services while ensuring robust infrastructure practices.

We are looking for a talented communication PHY algorithms engineer to join our
growing, highly motivated, and skilled modem research team, to lead and participate in
research of proprietary wireless communication signals and design modulators,
demodulators as part of our counter-drone cyber-based product.
Responsibilities:
Research and analysis of proprietary air interface: algorithm research of sampled wireless signals using MATLAB or Python, to define all radio characteristics including sample rate, modulation scheme, error corrections, spreading techniques and more.
Full modem implementation and simulation in MATLAB or Python.
Guide and support the FW, DSP and FPGA teams for concept implementation and debug.
Analysis and debug of PHY algorithms behavior and performance improvements.

This team is responsible for building and maintaining core cross-team product systems that serve the entire organization and enable fast, consistent, and high-quality development across multiple products.
The ideal candidate is a product-minded engineer with a strong technical background, who thrives on designing scalable and maintainable systems that empower teams and enhance user experience.
:bulb: This is a hybrid position based in Jerusalem, with at least 2 days per week in-office required. Our office is conveniently located in Jerusalem's Central Bus Station (across the street from the train station)
Responsibilities
Design and develop end-to-end features used across multiple products and teams.
Build and maintain cross-team systems that support scalability, reusability, and consistency.
Develop and evolve shared UI infrastructure and internal tools.
Collaborate with product and engineering teams to identify platform needs and deliver high-impact solutions.
Ensure code quality, scalability, and performance across all layers of the stack.
Write clean, testable, and maintainable code following best practices.
Provide occasional evening support (e.g., responding to Slack inquiries when needed).

As a Software Engineer on the IDE Integrations team, youll help bring Datadogs observability and AI capabilities directly into developers everyday workflows-specifically within Cursor and Visual Studio Code.
What Youll Do:

Design and implement developer tools that surface Datadog observability data within VS Code and Cursor

In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.

What Youll Do:

Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance
Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams
Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
Create a strong team culture aligned with our engineering standards and our customer focus
Participate in hands-on engineering work including coding, code reviews, and design reviews

Youll join a high-impact team tackling ambitious technical challenges, like decoding traffic across multiple protocols and ensuring high-fidelity metrics in complex, real-world environments. Youll be expected to lead design and implementation efforts, contribute to roadmap planning, and collaborate across teams to ensure our solution remains robust, scalable, and frictionless for our users.

What Youll Do

Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
Write in Go amongst other languages
Use Kafka, Redis, Cassandra, and other open-source components
Own meaningful parts of our service, have an impact, grow with the company

Were looking for experienced backend engineers who want to take ownership of critical services and deepen their expertise in distributed systems. Whether you've built APIs, pipelines, or backend tooling, this role is a chance to grow your impact while learning how to design and operate high-scale, high-availability systems that support observability and security products used by engineers around the world.

What Youll Do:

Design and build reliable backend services that handle high-throughput, globally distributed workloads
Own core components that power products relied on by thousands of engineering teams worldwide
Collaborate with other experienced engineers to evolve system architecture with a focus on scalability and resilience
Learn and apply distributed systems design patterns in a production setting
Ship production-grade code in languages like Go, Python, or Java
Contribute to team culture through code reviews, architecture discussions, and mentorship of peers and junior engineers

In this role, you will contribute to building resilient and performant systems that process large volumes of infrastructure metadata and make it accessible for product teams and customers alike. Youll work alongside experienced engineers and gain exposure to platform-wide initiatives across ingestion, processing, and query pipelines.

What Youll Do:

Collaborate with engineers on the REDAPL team to design, implement, and maintain scalable backend systems for processing infrastructure data
Participate in system design discussions and contribute to decisions around performance, reliability, and cost-effectiveness
Write high-quality, well-tested code and contribute to continuous improvements in system operability and developer experience
Support product teams as they integrate with REDAPL, helping them build reliable features on top of our platform
Help debug and resolve production issues, participating in on-call rotations as needed

we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.



What Youll Do:

Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
Write in Go, Java, Rust or C++, amongst other languages
Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components
Own meaningful parts of our service, have an impact, grow with the company

In one sentence
As AI reshapes the future of software, we aim to harness its power to transform the way networks, IT systems, and business operations are built and managed. We seek a visionary and hands-on AI Evangelist & Enablement Lead to join our company.
This is a unique hybrid role that combines deep technical expertise with a passion for teaching, enabling, and advocacy. As a member of the company agentic AI office. you will join our internal team of champions for AI-driving the adoption of Agentic and Generative AI across our company engineering and product teams, while also positioning our company as a thought leader in the global technology ecosystem.
What will your job look like?
Internal AI Enablement & Strategy
Partner with engineering and product development teams to integrate and optimize AI/GenAI tools throughout the software delivery lifecycle, from coding and testing to deployment and operations.
Define and champion best practices, coding standards, and standardized workflows for AI-assisted development across the organization.
Establish and lead an internal AI community of practice, fostering a culture of innovation, knowledge sharing, and responsible AI adoption.
Hands-on Implementation & Prototyping
Lead the evaluation, piloting, and integration of new AI development platforms (e.g., advanced coding assistants, MLOps frameworks, internal LLM deployments).
Build proof-of-concept projects and reusable AI components to showcase the value of emerging technologies and architectural patterns.
Design and document robust frameworks for leveraging AI services with a focus on scalability, performance, security, and cost-effectiveness.
Knowledge Sharing & Education
Create and deliver hands-on workshops, tech talks, and practical tutorials on topics like prompt engineering, AI-powered debugging, and integrating LLMs into production workflows.
Develop an internal knowledge base with code samples, case studies, and technical documentation to empower engineers to adopt and scale AI independently.
Mentor engineers and team leads, helping them grow their skills and confidence in applying AI to complex telecom and enterprise challenges.
External Evangelism & Thought Leadership
Represent our company as a technical expert at industry conferences, customer events, and developer communities.
Publish technical blog posts, whitepapers, and open-source contributions that showcase our companys innovative use of AI in the telecom and enterprise software domains.
Stay at the forefront of the rapidly evolving AI landscape, bringing back insights and opportunities to the organization.

As a Senior Data Analyst , youll be a key part of our Data Group, working alongside top-tier data analysts, data scientists, and data engineers.

Youll play a central role in shaping how data drives our product, impacting hundreds of thousands of users by turning complex data into actionable insights.

Data is at the heart of everything we do . In this role, youll help optimize key KPIs, enhance data pipelines, and enable smarter, data-driven decisions across the company.

What Youll Actually Do:

Own product analytics end-to-end for a core dataset within Data Group, serving as the primary authority on analytics for your teams data, with autonomy to define standards, methodologies, and direction.
Lead advanced, impact-driven analyses across the full lifecycle of the dataset - from supplier ingestion and enrichment logic through algorithms, product usage, and customer impact.
Work closely with Product, R&D, and Data Engineering to shape enrichment logic, guide decisions, and translate complex data problems into actionable insights.
Build and own core dashboards and analytical tools that become a trusted, day-to-day foundation for decision-makers working with your dataset.
Drive data initiatives that measurably improve data quality, product performance, user experience, and business outcomes for your domain.

we are looking for a Data Integration Engineer.
As a Data Integration Engineer , you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from each client to feed our data science models. You will be responsible for helping new and existing customers ensure they are receiving the best performance possible and leading the charge in processing the data of the largest eCommerce merchants in the world.
What You'll Be Doing:
Maintain/manage merchant data configuration layer of platform (automated data tagging, transformation, filtering, etc.)
Combine technical, business, and analytical objectives to come up with tailored solutions for onboarding merchants
Perform due diligence on merchant websites, business models, and data flows
Generate tailored data templates (JSON, CSV) to help guide merchant developers/data teams in building high-quality online (API) and offline (file transfer) integrations.
Write queries and scripts using Python, SQL, Spark, Databricks, or R to test, validate, and detect data issues in API calls within both sandbox and production environments. Additionally, transform and upload large historical data files to APIs
Ad hoc data wrangling and sanitization
Monitor automated data alerts - prioritize, track, and communicate merchant data issues/irregularities with internal and external stakeholders
Work closely with analysts, research, and data science teams to accommodate changes in industry data
Identify, research, and offer system-wide solutions for common data issues
Work closely with client-facing teams to engage customers regarding their data integrations
Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of product, technology, and merchants

We are looking for a DevOps Engineer with strong development skills to join our Developer Experience (DevX) team. Were a hybrid DevOps and development team focused on building and operating internal tools, infrastructure, and services that streamline engineering workflows and accelerate delivery across the company.
We are the team behind the Dynamic Environment Kubernetes Operator, which empowers teams to spin up ephemeral, on-demand environments for development, testing, and validation. You can learn more about the project here.
As part of the DevX team, youll own both infrastructure and application-level responsibilities. This includes the microservices we build and run, as well as internal platforms like Retool, which we maintain and extend to support our organizations needs. Youll work across automation, infrastructure-as-code, and backend development to deliver high-impact tools used daily by engineers across the company.
What You'll Be Doing:
Build and maintain CI/CD pipelines that enable fast, reliable, and secure deployments.
Contribute to the development of our Kubernetes operator and other supporting services.
Own and evolve infrastructure components using infrastructure-as-code (e.g., Terraform, Pulumi, Helm).
Develop and maintain internal microservices that support platform capabilities and developer workflows.
Maintain and extend internal tools like Retool, enabling teams to build internal apps and dashboards efficiently.
Implement observability best practices through monitoring, logging, and alerting.
Collaborate with engineering teams to identify bottlenecks and deliver scalable, automated solutions.
Drive adoption of DevOps best practices, including GitOps, progressive delivery, and shift-left testing.

We are looking for a Senior Full Stack Engineer (Front- End Oriented) to join our innovative team. In this role, you will lead the development of user-centric, cutting-edge interfaces that empower clinicians and improve the effectiveness of behavioral health care. If you thrive in building complex, scalable, and beautiful frontend systems, this role is for you.

What are we looking for? You are a highly experienced frontend engineer with extensive expertise in React and modern frontend development practices. You have a proven track record of delivering scalable and maintainable user interfaces. You are passionate about UX/UI design and have the technical ability to bring those designs to life seamlessly.

How will you contribute?
Lead the design and development of complex frontend features and interfaces.
Collaborate closely with product managers and UX designers to create user-friendly solutions.
Optimize frontend performance to ensure fast and reliable applications.
Drive best practices in code quality, testing, and documentation.
Mentor junior engineers and contribute to the growth of the team.

You are an experienced Full Stack Developer with strong expertise in Django (Python) or Node.js (JavaScript). You are passionate about building scalable, secure, and efficient backend systems. You thrive on solving complex problems and contributing to cutting-edge projects.

How will you contribute?

Develop and maintain complex full-stack applications, focusing on React for the frontend and Python/Django (or Node.js) for the backend.
Provide technical leadership, including architectural decision-making, technology selection, and guiding other engineers.
Design and implement RESTful APIs and integrations with external systems.
Work with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB).
Collaborate closely with Product, Design, and QA teams to deliver high-quality features on time.