דרושים » תוכנה » staff architect, data & ai infra

we are a global leader in cloud-native security, helping organizations secure modern applications across containers, kubernetes, cloud, and on-premises environments.
as ai transforms how organizations build, operate, and secure software, the company is investing in the next generation of intelligent security products, including ai-powered experiences, assistants, and autonomous and semi-autonomous agents.
we are looking for a Senior Software Architect to lead the architecture and technical execution of the company's ai products and shared ai capabilities.
this is a strategic and hands-on role for an architect who combines strong backend and distributed-systems expertise with practical experience in data platforms, cloud architecture, web technologies, and ai systems.
you will own the technical architecture from early concepts and proofs of concept through production delivery and operation. you will work closely with engineers, product managers, security researchers, and architects to turn emerging ai capabilities into secure, scalable, reliable, and maintainable products across saas and on-premises deployments.
the successful candidate will provide hands-on technical leadership, help engineers resolve complex design and implementation decisions, and ensure that the architecture supports product quality, operational simplicity, and long-term evolution.
what you will own
define and drive the architecture of the company's ai-powered products and shared ai capabilities across saas and on-premises deployments.
design scalable backend services, apis, data pipelines, data models, and Storage solutions for ai and security workloads.
lead architectural decisions across data ingestion, processing, retrieval, model integration, ai orchestration, and product integration.
work closely with engineers throughout design and implementation, helping resolve complex technical decisions, trade-offs, and delivery challenges.
provide hands-on technical leadership from early concepts and proofs of concept through production delivery and operation.
design systems with clear controls for scalability, backpressure, bounded resource usage, resilience, data integrity, recovery, and observability.
ensure solutions meet enterprise requirements for security, isolation, permissions, auditability, sensitive- data handling, and on-premises operation.
define patterns for integrating ai models, retrieval systems, tools, workflows, and deterministic product capabilities.
design ai-enabled workflows with quality, latency, cost, failure handling, model limitations, and operational complexity in mind.
support the architecture and development of web-based ai experiences and their integration with backend services and the company product workflows.
evaluate technologies and conduct proofs of concept to validate feasibility, performance, scalability, security, and operational fit.
define and document architecture standards, technical guidelines, and reusable patterns for the ai team.
review system designs and critical implementations, and mentor engineers on architecture, backend development, data systems, and production readiness.
collaborate with product and engineering to balance customer value, delivery speed, technical risk, and long-term maintainability.
partner with other architecture and platform teams to reuse existing capabilities and maintain alignment across the company products.

we are hiring a Senior Software Developer to lead the development of our internal malware research platform. This is a senior, hands-on role with end-to-end ownership of development and delivery. You'll be the technical authority - setting code-quality standards, making the architecture calls, and mentoring the developer team.
What makes this role different is who you build for. Our users are our malware researchers, and they use the tool every day. Your job is to sit beside them, learn how they actually work, surface the heuristics and edge cases they carry in their heads, and build agentic tooling that compounds their productivity. The bar isn't "does it ship" - it's "do the researchers reach for it every day." Success is measured in researcher adoption and time saved, not features merged.
Agentic workflows are core to how we build. You should be fluent using them and confident designing systems where agents run in production - with clear judgment about where an agent earns its keep versus where deterministic code or a human-in-the-loop is the right call.
What You'll Do
Lead development and delivery
Own technical execution end-to-end: implementation, code review, and release.
Translate research workflows and feature requests into well-scoped tasks with realistic, risk-aware estimates the team can plan against.
Manage day-to-day execution: unblock people, sequence work, catch problems early.
Set and defend the technical bar: review rigor, testing discipline, documentation, architectural consistency.
Partner with the researchers - and amplify them
Embed with malware researchers to understand their workflow and capture the tacit knowledge and edge cases no spec ever wrote down.
Translate that knowledge into reliable agentic tooling - and know when an agent is confidently wrong before it ever reaches a researcher.
Spend roughly 5-10% of your time doing actual malware research (with structured onboarding) to stay close to how the tool is used.
Be willing to tell a researcher when a proposed workflow won't automate well - and explain why.
Be the technical authority and mentor
Make the hard architecture and design trade-off calls.
Mentor through code review, pairing, and design discussions. Raise the level of everyone around you.
Dive deep on the critical, difficult features and bug fixes yourself.
Design agentic workflows into the architecture from the start, and build the evaluations and guardrails that keep them trustworthy.