דרושים » ניהול ביניים » Senior Backend Engineer - Posture

We're building Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
:Responsibilities
Shape and build our data lake architecture, orchestration layer, and data access patterns.
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

Required Backend Engineer
Description
About the team:
The team ensures that all our customers operate on a modern, scalable, and reliable platform. We build both backend and frontend capabilities that bring established product functionality into our modern experience, while also developing new, high-impact features based on customer needs. Our work improves stability, reduces friction, and elevates the overall experience for both existing and new customers. By owning critical systems, integrations, and UI components, we drive our continuous product evolution and support AI-enhanced service delivery at global scale.
Key Responsibilities
Develop and maintain backend services using Java, Spring, and modern frameworks.
Design, build, and optimize RESTful APIs for seamless integration with frontend applications and external services.
Develop and integrate AI agents and backend services leveraging Large Language Models (LLMs) where relevant.
Work with SQL databases (MySQL) and implement efficient data access and optimization patterns.
Collaborate closely with Product, Frontend, and DevOps teams to deliver secure, robust, and scalable solutions.
Deploy, monitor, and maintain Java services in cloud environments such as AWS, including usage of Docker/Kubernetes where applicable.
Ensure high code quality through automated testing, peer reviews, and adherence to secure coding best practices.
Participate in system architecture design and contribute to ongoing process and technology improvements.

Required Senior Software Engineer CWPP Team
About the role:
As a Senior Software Engineer on the CWPP (Cloud Workload Protection Platform) team, youll be part of a core group responsible for protecting our customers cloud workloads at scale. Our team scans and analyzes a wide variety of cloud assets from virtual machines and container images to object storage buckets and databases, to uncover vulnerabilities, secrets, misconfigurations, and other security risks.
This role offers a unique opportunity to build the infrastructure that powers our deep forensics engine. Youll help reconstruct customer file systems across multiple operating systems, extract OS-level and application-level metadata, and enable our security researchers to detect threats and vulnerabilities quickly and reliably. Your work will directly impact the safety and security of thousands of cloud environments worldwide.
Were looking for engineers who are passionate about operating system internals, large-scale distributed systems, and cloud security, and who want to make a meaningful impact by building robust, high-performance security platforms. This is also a great opportunity to take ownership, lead initiatives, and grow through collaboration, mentorship, and technical leadership.
Our Stack: Python, Linux & Windows internals, Container Runtimes, Postgres, Redis, Kafka, AWS, GCP, Azure
On a typical day youll:
Design, implement, and maintain scalable backend services for scanning and analyzing cloud workloads (VMs, containers, buckets, databases, etc..)
Build infrastructure for reconstructing file systems across different operating systems (Linux and Windows) to enable deep analysis
Integrate security detection engines for vulnerabilities, secrets, compliance, and malware
Collaborate with security researchers and product managers to translate complex requirements into impactful product features
Write clean, efficient, and testable code, ensuring high performance and reliability
Participate in design and code reviews to uphold technical excellence and team standards
Lead features end-to-end from design and planning to deployment and monitoring
Improve system observability, performance, and resilience in production environments
Stay current with developments in the cloud security landscape, vulnerability management, and OS internals.

We are building the engine that powers the security validation of the worlds leading cybersecurity products. Our team is developing a complex, high-scale infrastructure that automates attack scenarios and delivers "Environment as a Service" to users across the entire company.
We are looking for a Senior Backend Engineer who is not just a coder, but a system thinker with a wide field of vision. You will be dealing with a system that touches multiple cloud, on-prem providers and services, requiring you to understand how complex distributed components interact.
You will join a group where scalability, and performance are paramount. This is a unique opportunity to build a platform used by everyonefrom Sales Engineers demonstrating our capabilities to Core Developers ensuring our products can stop the latest threats.
Your Impact
Architect and Build: You will design and develop high-performance backend microservices using Python (FastAPI) that orchestrate complex attack simulations and infrastructure setup.
Scale and Orchestrate: You will manage the complexity of parallel services and containerized components (Docker/Kubernetes/Amazon ECS/etc.), ensuring our infrastructure can handle high concurrency and massive scale.
Drive Efficiency: You will build tools that reduce testing cycles from days to hours, directly impacting the developer experience and the speed at which we release products.
Empower the Business: You will create a platform that is robust enough for developers but accessible enough for non-technical teams, directly aiding in the demonstration, marketing and sale of our products.
Data Integration: You will implement efficient data handling and storage strategies using BigQuery, MongoDB, and Redis to ensure real-time availability and historical analysis.

A leading large-scale ad network at the forefront of advertising technology. We are looking for a highly skilled and experienced Senior Software Engineer to join our backend team.
In this role, you will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.
This is an opportunity to work on complex, large-scale systems that serve billions of requests, shaping the future of ad tech and ML-driven optimization.
What you'll be doing
Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.

We are looking for a talented Senior Backend Developer to join our team and help build the next generation of our global SaaS platform. You will work on designing and implementing scalable backend services, microservices architecture, and cloud-based solutions that power our enterprise-grade applications. This is an opportunity to work with modern technologies, solve complex problems, and deliver solutions that impact thousands of organizations worldwide.
Develop and maintain backend services using Node.js, Express, and modern frameworks.
Design, build, and optimize RESTful and GraphQL APIs for seamless integration with frontend applications and external services.
Develop and integrate AI agents and services utilizing Large Language Models (LLMs) within the backend architecture.
Architect and enhance microservices for high performance, reliability, and scalability.
Work with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) and implement efficient data access patterns.
Collaborate closely with Product, Frontend, and DevOps teams to deliver secure, robust, and scalable solutions.
Deploy, monitor, and maintain Node.js services in cloud environments such as AWS (including Docker/Kubernetes).
Ensure high code quality through automated testing, peer reviews, and adherence to best practices in secure coding.
Participate in system architecture design and contribute to ongoing process and technology improvements.

Required Senior Backend Engineer - Platform Group
About Us
We help modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, weve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~4500 midsize and multinational companies and over 1 Million users. Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
Come and be you with us:
Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
Vibe Engineering: AI-Assisted Development & Productivity
We believe that modern developers leverage state-of-the-art dev tools to maximize engineering efficiency.
The ideal candidate is experienced with AI-assisted development workflows, leveraging tools such as GitHub Copilot, Cursor, or similar LLM-based environments to rapidly prototype, debug, and evolve complex systems.
You should be comfortable translating ambiguous problem statements into iterative prompts, guiding AI agents to generate high-quality, maintainable code while applying strong engineering judgment. The role requires an ability to blend traditional software engineering practices with modern AI tooling-using automation, code generation, and conversational development to accelerate delivery without compromising architecture, reliability, or security.
What will you do?
As a Backend Engineer on the Platform/Infra team, youll have a key role in designing, building, and maintaining the core services, infrastructure, and tools that enable all feature teams to build and scale their microservices reliably and efficiently.

Reqired Staff Software Engineer - Distributed Systems Quality Platform
About the role:
Were building the next-generation testing platform that will redefine how complex distributed systems are validated at scale. Our mission is to create an automated, intelligent testing environment that continuously validates the correctness, performance, and resilience of the Data Platform across every layer of the stack. This is an opportunity to reinvent how next-gen infrastructure is tested, leveraging both proven engineering techniques and the latest AI-driven approaches. Youll work on solving some of the hardest challenges in large-scale systems engineering: How do you validate correctness in deeply parallel I/O systems? How do you uncover reliability gaps that appear only under extreme concurrency? How can AI tools help us automatically generate test scenarios, analyze failures, and predict weak spots before they occur?
As a Staff Software Engineer, youll be at the center of these questions. Youll set the technical direction, design testing frameworks that scale with our product, and partner across engineering to raise the bar for quality.
What Youll Do:
Design and implement a next-generation testing and quality framework for distributed systems, enabling automated validation of functionality, performance, and resilience.
Leverage AI-driven tools to scale the testing environment, including automated test generation, intelligent workload synthesis, and anomaly detection.
Create end-to-end testing environments that simulate real-world scale, stress, and failure conditions.
Define and drive the technical strategy for testing across, setting the standard for quality engineering.
Mentor and influence engineers across teams, fostering a culture of technical rigor and reliability obsession.
Collaborate with product and infrastructure teams to ensure the testing platform is deeply integrated into our development lifecycle.

We are looking for a Senior Data Platform Engineer to design, build, and scale next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.

We are looking for an experienced and passionate Staff Backend Software Engineer
to join a rapidly growing team. In this role, you will lead the design and evolution of our large-scale, real-time infrastructure that powers global in-app advertising.
Youll tackle complex engineering challenges and drive the design of systems built for massive scale, reliability, and performance. As a hands-on technical leader, youll influence architecture and implementation decisions that define the future of LevelPlays infrastructure.
This is a great opportunity for experienced professionals who have a strong background in backend development and a deep understanding of large-scale distributed systems. If you're passionate about tackling complex technical challenges and building products that reach a massive global audience, this role is for you.
What you'll be doing
Lead the design and development of large-scale, low-latency, high-throughput systems that power real-time ad bidding and delivery.
Define and drive technical strategy and long-term architecture for LevelPlays core infrastructure.
Collaborate cross-functionally with product, data, and ad network integration teams to deliver impactful solutions that scale globally.
Mentor and guide engineers, fostering a culture of technical excellence, ownership, and continuous improvement.
Investigate and resolve complex system challenges, optimizing performance, reliability, and cost efficiency.