דרושים » ניהול ביניים » Senior backend Developer Python בחברת Cyber security

We're looking for a passionate and experienced Python Developer to help shape the future of AI. You'll play a crucial role in developing and implementing the backend systems that power our breakthrough language model, Apollo.

### **What You'll Do:**

- Design and implement robust services and APIs to drive our product
- Collaborate with cross-functional teams to define, design, and ship new features
- Optimize existing systems for improved performance and scalability
- Participate in code reviews and contribute to team knowledge sharing
- Monitor, identify, and resolve backend/platform issues
- Implement and maintain microservices architecture and event-driven communication systems
- Integrate and operationalize large language models (LLMs) within the production environment
- Stay up-to-date with emerging trends and technologies in software development

We are looking for a Senior Infra / Back-End Engineer to join our DevOps Infra team.

The ideal candidate will have a strong background in back-end development, a deep understanding of modern technologies, and a passion for building scalable and robust systems.

You will play a key role in designing, developing, and maintaining our infrastructure.

So if you are passionate about new technologies and infrastructure, we are looking for you.


What You'll Do

Lead and own features "end to end" from product requirements through live code in production
Contribute to the design, architecture, and development of our products and services
Produce highly scalable, high-quality software in the fast-paced environment of a startup company
Find innovative solutions to challenging problems

As a Senior Software Engineer, you will play a key role in developing and maintaining Nodes Access platform, including its applications, services, and underlying systems. Youll work with a modern backend tech stack, leveraging AI, microservices, databases, Kubernetes, Ansible, CI/CD, and more to build scalable and resilient solutions.
You will be responsible or:
Implementing an AI framework to manage and orchestrate a fleet of services and blockchain RPC nodes, and building AI agents for enhanced platform capabilities.
Implementing modern BE applications and infrastructure in a microservices architecture, utilizing common networking protocols, object-oriented design, and cutting-edge techniques - while leveraging work with AI Agents and Skills.
Establishing a modern CI/CD pipeline in a microservices architecture, using best practices, tools, and techniques.
Ensuring the robustness and maintainability of our BE services and the overall application.
Collaborating effectively with other developers, engineers and other roles, while also showcasing independent problem-solving abilities.
Demonstrating a strong command of the blockchains ecosystem in high-load scenarios while staying updated with the latest technologies and practices.
Dive deep into the latest blockchains, seamlessly incorporate them into our product, and become an expert in the fundamentals, protocols and features of the blockchains.
Ensuring that platform remains at the forefront of blockchain technology!

We are looking for a Backend Engineer to join our Data Science team.

In this role, you will partner directly with Data Scientists to transition research prototypes into efficient, production-ready microservices. You will collaborate with a broad forum of experts including architects, data engineers, and product managers, to deliver high-quality technical solutions that drive our product forward.

Responsibilities
Model Tech-Transfer: Transition research prototypes (from Data Scientists) into efficient, production-ready microservices.
Pipeline Management: Build and maintain automated pipelines for data collection, model training, and deployment (using Jenkins & Airflow).
Infrastructure Ownership: Deploy, tune, and manage AWS cloud resources (EC2, S3, ElastiCache) for low latency and high availability.
Monitoring and Evaluation: Implement monitoring for model performance (accuracy, statistical calibration) and Business Performance (adherence with company KPI, business impact).
Quality Assurance: Write robust unit tests and optimise code for performance.