דרושים » תוכנה » 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 talented, passionate and experienced Senior Backend Software Engineer to join our team. You will help design and build the backend and data pipeline behind leading XDR platform, operating at large scale and under real-world production constraints. Were looking for someone with strong distributed systems fundamentals, high coding standards, and a collaborative, hands-on approach.
Responsibilities:
Lead the design and implementation of key backend components in flagship product
Build and operate a high-throughput data pipeline handling terabytes of data per day, with a focus on performance, reliability, and cost
Drive engineering best practices (testing, observability, CI/CD, code review, technical design) and contribute to product/technical innovation
Mentor engineers and help grow a strong engineering culture; learn and collaborate across teams

Join a global B2B company developing cutting-edge optimization software for the food and delivery industry.
What Youll Do:
Build scalable backend systems for cloud and on-premise environments.
Own features end-to-end: design, implementation, testing, and deployment.
Develop high-performance code for systems running worldwide, often on legacy hardware.
Collaborate with cross-functional teams (Frontend, Product, QA, DevOps).
Innovate under real-world constraints with performance and stability in mind.
Work independently while driving backend best practices.

A defense-tech startup, building an AI-powered autonomous systems that connect cameras, sensors, and natural-language interfaces, is looking for a Senior Backend Engineer, to take full ownership of high-performance, low-latency backend systems, design scalable infrastructure, and help shape the core architecture of the platform in a hands-on, early-stage environment.
Responsibilities:
Design and build scalable backend services for real-time systems
Develop data pipelines for video streams, camera networks, and AI outputs
Own backend architecture (APIs, databases, infrastructure, observability)
Build low-latency, high-performance distributed systems
Work closely with ML, product, and infrastructure teams
Maintain production infrastructure using Docker, Kubernetes, CI/CD
Improve system performance and reliability end-to-end

We are looking for a Senior Platform Engineer to join our engineering team. This is a hybrid role sitting at the intersection of backend software development and infrastructure engineering. You will own the design and delivery of platform capabilities - from backend services and APIs to the internal developer tooling, CI/CD systems, and Kubernetes-based infrastructure that power our engineering organization.

You will partner closely with software engineering teams, acting as both a builder and an enabler: shipping production-quality backend services while also raising the bar for developer experience, deployment reliability, and infrastructure scalability.

What You'll Be Doing

Design, build, and maintain production-grade backend services, APIs, and microservices.
Develop background workers, event-driven systems, and async processing pipelines.
Define and enforce backend architecture patterns - API design standards, service boundaries, data modeling, and error handling.
Collaborate with product and feature teams to deliver shared platform services (auth, notifications, integrations, etc.).
Integrate and operate AI agents within engineering workflows, using them as active development tools to accelerate delivery and improve code quality.
Contribute to the design and development of corporate AI-agent tooling - building the infrastructure, APIs, and platform abstractions that power our internal LLM-based tools.
Work closely with large language models (LLMs) - including prompt engineering, API integration, and building reliable pipelines around model inference.
Own and evolve our Kubernetes infrastructure, including Helm chart management, workload configuration, RBAC, and cluster operations.
Design and manage CI/CD pipeline templates shared across engineering teams - covering build, test, security scanning, and deployment stages.
Develop internal developer platform tooling that improves self-service capabilities and deployment velocity.
Drive observability best practices using tools like Datadog, OpenTelemetry, and Prometheus.

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

we are looking for a talented Senior Software Engineer
The team is responsible for processing structure and unstructured medical data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Lead development processes from ideation to production
Collaborate with product, medical, and software teams across the organization.
Own the design and evolution of the data ingestion and serving platform.
Mentor and guide junior and mid-level engineers.
Define best practices for system reliability, scalability, and observability.
Lead technical decisions around distributed systems, APIs, and integrations.
Build a customer-centric product with a deep understanding of the complex healthcare industry

we are looking for a Senior Backend Engineer- Data Platform.
Be responsible to build and maintain state of the art Infrastructure to support Security vastly growing SaaS services. Build a resilient, scalable data-rich infrastructure that provides key functionality to tens of millions of users daily as well as our business stakeholders. As we see data to be core to our success, and inherent in every SaaS offering we provide, we are looking to reinforce our Infrastructure software engineering skills and grow our expertise in this field with emphasis on open-source tools and self development.
What youll do:
Building a state-of-the-art resilient infrastructure that comprises of micro-services as well as reusable frontend and backend components.
Provide architectural solutions for complex code issues.
Accommodate diverse and evolving requirements from internal teams as well as customers through designing future-friendly APIs and software components.