דרושים » תוכנה » Backend Engineer

Were looking for a highly skilled and motivated Security Automation Engineer to join the Resolve team .
In this unique role, you will bridge the gap between deep cyber security analysis and software engineering. You won't just analyze data, you will build the engines and integrations that interpret it.
You will dive deep into vast amounts of security data, understand the underlying logic of cyber threats and defensive tools, and write robust, production-grade code to integrate these insights into our platform. If you are a developer at heart with a passion for cyber security structures, APIs, and cloud environments, this is the place for you.
Roles and Responsibilities:
Design and implement deep, logic-driven integrations with various security products and cloud platforms.
Write scalable and clean object-oriented Python code to consume, parse, and normalize data from diverse external sources.
Analyze complex security logs and API documentation to understand the underlying data story and how to deliver meaningful value to the user.
Reverse-engineer undocumented APIs and internal data structures from third-party security tools to extract critical insights.
Collaborate closely with security researchers to translate abstract detection logic and threat intelligence into automated code modules.
Troubleshoot and solve complex connectivity and data-logic issues involving authentication, rate-limiting, and network protocols.
Maintain the quality and reliability of the integration layer, ensuring it adapts to changes in external security products.
Participate in code reviews and engineering discussions, focusing on design patterns and code efficiency.
Our Tech Stack: Python, MongoDB (Atlas), AWS, and so much more.

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.
This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities
Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.
Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into our company services.
Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.
Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support

The Accounts team owns some of the most critical infrastructure at the core of our companys platform.
We are responsible for managing the main product Entities across all our company products.
Our work ensures secure and scalable access control, supports complex enterprise use cases, and powers internal systems relied upon by every team in the company. We collaborate closely with cross-functional teams including Product, platform, and Security to deliver reliable and high-impact solutions.
If youre passionate about building foundational backend systems that scale globally and support great challenges this is the team to join!
As Part Of Your Role, You Will:
Contribute to architecting and strategy, design and develop highly-available management systems, with scalable distributed system considerations and APIs
Lead solutions for business application platform layer while keeping in mind robustness, security, and monitoring
Aim to be a focal point for company-wide source of knowledge
Lead by example, mentor peers, and ensure high standards of code quality
You will work with product managers and business partners to frame problems within the business and product context.

Our team is part of a larger group working on the company Assets product, a high-scale, distributed system built on cloud infrastructure.
We deliver a solution for both technical and non-technical users, allowing them to manage, deliver, transform, and collaborate on Media assets and their lifecycles seamlessly through API and UI.
We take full ownership of the entire process, from deciding what to build to delivering it.
Our team has the right mix of skills to make both technical and product decisions together, ensuring smooth execution and meaningful impact.
We are a highly collaborative, open, and proactive team, with members based in Poland and Israel. We work primarily in English.
What Youll Do?
Be a Central Figure in the Team Serve as the go-to expert on everything related to the teams services and infrastructure. Work closely with product managers. Learn and be able to reason about the existing code base on demand, deriving insights quickly and managing context switches effectively.
Deliver Solutions with Impact & Efficiency Stay focused on business goals and customer delight. Ensure we deliver features that move the needle and are implemented efficiently and iteratively.
Maintain High Code Quality & Architecture Collaborate with developers to uphold high coding standards and work with our architects forum to ensure solutions are scalable and aligned with our platform vision. Utilize code generation tools for a larger impact.
Drive Innovation Identify areas for improvement and propose meaningful enhancements. Acknowledge customer feedback and incorporate your ideas to refine our solutions.

As a Senior Software Engineer you will be using AWS serverless architecture, AWS CDK &Python to design, develop, test, secure & deploy services from planning to production.
Backend development with a strong emphasis on Python and AWS serverless architecture.
End-to-end ownership from requirements gathering and design to development, testing, security, and deployment.
Deep product knowledge understanding how our customers use our applications and optimizing for their needs.
Collaboration with UX experts to deliver an intuitive and seamless user experience.
Cross-functional teamwork working closely with security architects, product managers, and development teams to build high-performance, secure, and scalable services.

Were building foundational infrastructure to secure AI agents including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.
Youll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.
Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.
Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.
Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.
Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.
Write thorough tests and maintain high-quality, well-documented code.
Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.

What youll do:
Own the technical direction of the Account Security group, driving architecture, engineering standards, and long-term technical strategy across multiple teams.
Be accountable for system design, architecture, code quality, reliability, scalability, and production readiness of mission-critical security services (authentication, MFA, real-time risk, bot protection, and abuse prevention).
Define and enforce engineering best practices and coding standards, ensuring high-quality, secure, and maintainable code across the group.
Design and evolve secure, scalable, and highly available backend systems that operate under real-time, high-throughput, and high-risk environments.
Partner closely with Product, Risk, Data, DevOps, and other R&D teams to align technical solutions with business and security needs.
Lead technical decision-making and navigate complex trade-offs between security, performance, scalability, and time to market.
Represent the group in architectural forums and design reviews, sign off on critical designs, and influence company-wide security architecture.
Proactively identify technical gaps, scalability risks, and security weaknesses, and drive cross-group initiatives to address them.
Continuously raise the engineering bar through design reviews, code reviews, testing strategies, observability, and operational excellence.
Mentor senior engineers and emerging technical leaders, shaping technical thinking and ownership across the group.
Play a key role in hiring, technical interviews, onboarding, and defining what great looks like for engineers in the group.

we are looking for a senior software engineer to join our team. Our team develops AI agents and infrastructure used across the organization.
In this role, youll be involved in the full lifecycle of software development from creating POCs to supporting systems in production. Some tasks involve research that requires a system understanding, curiosity, and the ability to work independently.
Youll work with large language models (LLMs) from multiple vendors and utilize a wide range of AWS cloud services.

Requiredc Platform Engineer
Description
We're building a new Engineering Platform team designed to accelerate every business and engineering function.
As a senior Platform Engineer, you will design and build cloud infrastructure, internal developer services, AI powered automations and more to make our teams faster, autonomous and more productive.
Responsibilities
Build and evolve platform services that improve developer experience (devEx), reliability and engineering productivity while being secured.
Develop AI-driven tools and automation: internal agents, workflow orchestrators, intelligent integrations and internal assistants based on AWS infrastructure.
Integrate platform components with .NET and Python services running on AWS.
Own core cloud infrastructure using automation and Infrastructure-as-Code (Terraform/CloudFormation).
Deliver scalable, secure, and cost-efficient cloud solutions across multiple domains.
Create self-service capabilities that allow product and engineering teams to move independently.
Partner with security, DBA, DevOps, product and business stakeholders to build cross-organizational solutions.
Establish reusable templates, engineering best practices, and inner-source contribution models.