דרושים » ניהול ביניים » research infra engineer

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
were looking for a software engineer who is passionate about building high-quality software and solving complex technical challenges. in this role, you'll design and develop production-grade Python services that integrate with third-party devices and platforms, enabling reliable data collection at scale. the systems you build will power our ai platform, providing the critical data foundation behind our products.
design and deliver production-grade, high-quality and robust code.
research a wide range of software and network devices to find the best data collection solutions.
collaborate with customers to resolve issues and expand the company's collection portfolio.
prioritize collection capabilities together with our product team based on customers needs and define milestones.
work effectively within a team, contributing to a collaborative and innovative development environment.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
were looking for a senior backend engineer to build production-grade systems at the intersection of backend engineering and agentic ai.
youll design the services and data architecture behind llm-powered agents, from prompt orchestration and tool calling to retrieval and production observability. while the role is backend -first, youll work across the stack when needed, connecting ai capabilities to user-facing experiences and owning the path from architecture to secure deployment.
this is an opportunity to build and shape intelligent systems built for highly secure, from-scratch, regulated environments where reliability, precision, and engineering quality truly matter.
design, build, and operate scalable backend services in Python.
build and integrate llm-based agents using prompt orchestration, tool and function calling, and agentic architecture patterns.
own data modeling and database design for complex, production-grade systems.
connect backend and ai capabilities to user-facing applications.
containerize and deploy services in aws-based environments.
build automated testing and ci pipelines that support fast, reliable delivery.
apply secure sdlc practices, including secret management, dependency hygiene, and thorough code reviews.
take end-to-end ownership of systems, from technical design through production operation.

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.

Key responsibilities

Lead a team of data scientists, data engineers and product analysts

Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation

Drive excellence, code quality, and best development practices

Provide technical direction and hands-on guidance for complex AI systems

Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences

Ensure AI solutions are safe, scalable, observable, and continuously improving

Lead initiatives around product data analysis and experimentation

Analyze user interactions with product features to improve accuracy, UX, and business impact

Partner with product teams to define metrics, dashboards, and experiments that guide product improvements

Design system architectures for AI-enabled applications at scale

Evaluate and select technologies for AI platforms and data pipelines

Guide the development of prompt engineering frameworks and centralized prompt management

Ensure robust monitoring, evaluation, and feedback loops for AI outputs

Translate product and business goals into technical roadmaps and execution plans

Drive alignment between AI capabilities and measurable product outcomes

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services and customer facing features used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We develop customer facing features, as well as internal capabilities serving other development teams within cortex. We are looking for someone who is not only strong technically, but also enjoys being a part of a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services and customer facing features used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We develop customer facing features, as well as internal capabilities serving other development teams within cortex. We are looking for someone who is not only strong technically, but also enjoys being a part of a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.

the company harnesses the power of ai to transform how revenue teams win. the company revenue ai operating system unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the worlds most successful revenue teams. powered by the company revenue graph, ai-powered intelligence, specialized agents, and trusted applications, the company helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. for more information, visit company.
at the company, you will join a company built on innovative products, ambitious goals, and passionate people. we are shaping the future of revenue intelligence and we want people who are excited to build what comes next. you will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. if you want to grow, stretch, and do work that truly matters, the company is the place to do the best work of your career.
as a senior backend application infrastructure engineer, youll build and evolve the core libraries, frameworks, and services that power the company's Python platform at scale. youll work on backend systems, distributed architectures, data infrastructure, and event-driven systems, enabling engineering teams to build reliable and scalable products efficiently.
were looking for a strong Python engineer with deep systems understanding who enjoys solving complex technical challenges and building the foundations behind large-scale production environments.
youll own:
designing, building, and maintaining core Python infrastructure libraries and frameworks used across engineering teams.
developing and supporting high-scale microservices and the shared foundations they run on.
building reusable infrastructure capabilities for data access, messaging, observability, and service communication.
driving engineering standards around performance, observability, security, maintainability, and production readiness.
driving ci/cd processes, deployment automation, and cloud-native operational practices.
youll solve:
performance, concurrency, and scalability challenges across mission-critical Python services.
data and infrastructure challenges across postgresql, mongodb, opensearch, redis, kafka, and sqs.
production issues that require deep understanding of runtime behavior, such as memory, cpu, i/o, and process and thread behavior.
the growing complexity of modern software ecosystems by building infrastructure that guides developers toward best practices while preserving flexibility where needed.
bridging architectural and operational gaps between backend, DevOps, sre, and product engineering teams.
youll impact:
faster product development through strong infrastructure libraries and foundations.
stable, scalable, and efficient production systems across critical platform components.
better Developer experience through well-designed, reusable components and streamlined engineering workflows.
the long-term evolution of the company's Python infrastructure and engineering standards.

at the company, we're revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. our cutting-edge platform and unique data empower over 4,300 customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we havent stopped growing since!
were looking for an infrastructure data engineer to join our data labs ( DL ) department, which specializes in Professional Services for our super-premium customers. this role will report to our DL (datalabs) infrastructure team manager in the r&d.
why is this role so important at the company?
we are a data -focused company, and our unique ai and Machine Learning capabilities are the center of our business.
as a data infrastructure engineer in the datalabs group, you will be the technical backbone supporting our data production, analyst, and data science teams. you will own and maintain our aws cloud accounts and databricks workspaces, optimize pipeline executions, and proactively modernize our tech stack to reduce tech debt - ensuring our platform remains scalable, reliable, fast, and cost-effective.
given the business-oriented nature of datalabs, you will work closely with cross-functional stakeholders and internal teams who interface directly with strategic customers. by unblocking operational bottlenecks and building robust tooling, you will empower our analysts and data scientists to deliver custom, high-value data products to our customers seamlessly.
so, what will you be doing all day?
environment & workspace management: administering and optimizing our groups aws cloud accounts, iam policies, and databricks workspaces to ensure peak performance, rock-solid security, and cost efficiency.
execution & pipeline infrastructure: owning the health, reliability, and scaling of our core data execution environments (airflow, docker, eks/ecs, distributed queues, and database engines).
tech debt modernization: proactively researching, benchmarking, and replacing legacy debt with modern technologies to keep our platform fast and cutting-edge.
Developer & production support: serving as the technical focal point for internal analysts and data science teams-providing the tooling, standards, and infra support they need to build custom client reports smoothly.
cross-group & client alignment: partnering with external engineering teams and internal stakeholders to support custom data delivery pipelines and uphold high-priority customer slas.
why youll love being a team member:
youll actually love the product you work with: our customers arent our only raving fans. when we asked our employees why they chose to come work at the company, 99% of them said the product.

As a Senior Research Scientist, AI & Data Systems at Eon Research, you will conduct applied research at the intersection of AI, data systems, and large-scale storage. you will explore challenging technical problems, publish research in leading peer-reviewed venues, file patents, and translate research breakthroughs into production-ready product capabilities.

This role is ideal for a researcher with a strong publication record, deep expertise in a relevant research area, and experience bringing research into real-world products.

Research Areas
Query Processing and Query Engines: Query optimization and execution over columnar and lakehouse formats, including Apache Iceberg and Parquet, as well as approximate query processing using sketches and synopses.

Storage Systems: Deduplication, compression, and data layout optimization for large-scale storage.

Data Integration and Discovery: Entity resolution, schema matching, table joinability, and data discovery, including the use of LLMs as judges.

Information Retrieval and RAG: Retrieval-augmented generation over enterprise data, including emails, documents, and databases.

LLM Evaluation and Benchmarking: Evaluation frameworks and benchmarks for LLM agents working with enterprise data.

LLMs for Software Engineering: CI failure diagnosis, automated debugging, and program repair.