דרושים » תוכנה » Python Backend Developer

We are looking for an experienced Backend Developer to join our new Data Platform initiative. In this role, you will work closely with our Senior Data Engineer to build the backend services, data enrichment logic, and APIs that power our upcoming data-facing product.
You will own the application and service layer that transforms, enriches, and exposes data to internal systems and customer-facing interfaces. This role is highly collaborative and requires strong backend engineering skills, experience with Python and Node.js, and a passion for building reliable, production-grade services.
What youll do:
Develop advanced data segmentation and profiling logic in Python on top of the data pipelines provided by the Data Engineering team.
Build and maintain backend services (Node.js or equivalent) to expose processed data to the platform and front-end applications.
Design and implement REST APIs for managing data pipeline configurations (CRUD), workflow settings, and user-facing controls.
Work closely with Product to define feature requirements, service behaviors, configuration models, and lifecycle management.
Own the CI/CD pipeline for the new service, including automated testing, deployment, and observability practices.
Collaborate with the Data Engineers to ensure smooth integrations across data flows, schemas, and processing stages.
Ensure performance, reliability, and scalability of all backend components.
Maintain high engineering standards through code reviews, documentation, and best-practice development patterns.

We are looking for an Automation Infrastructure Developer who will focus on building automation services, frameworks, and tooling that support large-scale validation workflows.
What will your job look like:
Design, develop and maintain automation infrastructure, internal services, and shared libraries
Develop robust test frameworks and enable write reliable automated tests efficiently
Build tools and pipelines that improve test execution, data processing, logging, and reporting
Collaborate closely with algorithm developers, system engineers, and validation teams to integrate automation solutions into complex environments
Analyze system behavior, identify gaps and bottlenecks, and propose technical solutions
Troubleshoot and resolve issues in automation services, framework stability, and performance

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 an experienced senior software engineer who can drive the development of our infrastructure platform. You'll be working on cloud-based solutions, developing automation tools, and building systems that enhance our development and deployment capabilities. This role offers the opportunity to work with cutting-edge technologies while solving complex infrastructure challenges.
The Infrastructure team is responsible for building and maintaining core automation systems, cloud infrastructure, and developer tools that power our products. We work extensively with Python, Azure cloud services, and modern DevOps practices to create scalable and reliable solutions.

The AV Validation Infrastructure team is looking for an experienced backend Python developer with a strong background in data, pipelines, streaming, and databases to help us scale our infrastructure and services.
Our team is responsible for ensuring the safety and performance of autonomous vehicle (AV) by building the tooling, data systems, and automation that power large-scale validation.
Key Challenges:
Ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
Work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and AV version stability.
Support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
What will your job look like:
Design and develop large-scale automation infrastructure and internal tooling for AV validation
Build and maintain data-driven services and pipelines in Python
Develop and maintain RESTful APIs and queue-based / event-driven services
Work with CI/CD and infrastructure tools such as Jenkins, Linux, Kubernetes
Work with modern data and storage technologies, such as:
Data & compute: Spark (advantage)
Databases / data lake: Iceberg, Athena, DynamoDB, RDS, other SQL/NoSQL systems

Python Automation Developer - Microservices & Testing (6053) A leading technology company developing complex software solutions integrated with hardware is seeking an experienced Python Automation Developer.

As part of our growing R&D organization, were looking for a skilled and passionate Java Backend Developer to join one of our core backend teams - Logic, Infrastructure, or Models (Data Enrichment) - depending on your experience and interests.
Youll design and develop high-scale backend services that power the business services of our banking solutions, working with a team that values clean code, scalability, and impact.
Why us
Join a global leader in AI-driven financial technology
Work in a collaborative and innovative environment
Have real ownership over products used by millions worldwide
Continuous opportunities for learning and growth
Responsibilities
Design, build, and maintain scalable, high-performance backend services used by millions worldwide
Collaborate with product managers, data scientists, and fellow developers to deliver robust and innovative solutions
Own features end-to-end: from requirements and design to deployment and production monitoring
Troubleshoot and resolve backend issues, ensuring reliability and performance
Participate in architectural discussions and contribute to infrastructure improvements.

We are looking for a talented Senior Backend Developer to join our development team. As part of the team, you will contribute to building and enhancing high-scale, multi-tenant SaaS products that support customers worldwide. You will work in a hybrid environment, collaborating closely with highly skilled engineers in an agile, sprint-based methodology. This role is critical to the continued success of our next-generation security and monitoring platforms, ensuring performance, scalability, and reliability across multiple regions and tenants.

Key Responsibilities
Architect, design, and develop robust, high-quality backend services and APIs for our large-scale SaaS platform.

Own the end-to-end delivery of features in an agile, CI/CD environment, from conception to deployment.

Ensure the scalability, resilience, and high performance of our applications to support a rapidly growing, multi-tenant customer base across multiple regions.

Integrate with and optimize a diverse set of distributed data systems, including PostgreSQL, Redis, RabbitMQ, and Elasticsearch.

Champion and implement observability best practices (metrics, logging, tracing) using tools like Prometheus, Grafana, and OpenTelemetry to ensure system health and proactive monitoring.

Collaborate closely with product managers, frontend developers, and DevOps engineers to translate customer needs into impactful technical solutions.

Continuously explore, evaluate, and adopt new technologies to enhance our architecture and development efficiency.

Mentor and guide other developers, fostering a culture of technical excellence and knowledge sharing.

Python Automation Developer (6084)
A leading technology company developing complex software solutions integrated with hardware is seeking an experienced Python Automation Developer.
The role focuses on building and maintaining automation and testing infrastructures for complex, distributed microservices-based systems, with strong emphasis on quality, stability, and CI/CD processes. Responsibilities:
Develop automated tests for backend systems and microservices
Design, build, and maintain Python -based automation and testing infrastructures
Develop End-to-End (E2E) and integration tests
Work with Docker and distributed environments
Integrate automation into CI/CD pipelines
Debug and analyze issues in complex distributed backend systems
Collaborate closely with development, DevOps, and product teams.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation - building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.



Key Responsibilities
Design and build AI-driven internal tools that enhance developer productivity.
Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
Prototype and experiment rapidly, turning ideas into practical solutions.
Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
Define and track efficiency metrics to continuously improve developer velocity and experience.