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We are seeking a deeply technical leader to own the architecture, strategy, and hands-on execution of our cloud infrastructure. This role will drive advanced initiatives end-to-end - from foundational system design through production hardening - setting the technical bar for infrastructure excellence across the company.
The Principal Cloud Infrastructure Architect will operate in a fast-paced environment, making high-stakes architectural decisions, balancing innovation with production rigor, and fostering a culture of engineering ownership and operational excellence.
Responsibilities:
Own and drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Design and implement advanced automation frameworks, internal developer platforms, and tooling utilizing Python, Bash, and modern infrastructure-as-code technologies (e.g., Terraform, CDKTF).
Architect and continuously evolve CI/CD systems and delivery pipelines at scale, reducing friction and elevating developer productivity and deployment safety standards.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, incident response, and system health.
Partner closely with engineering leadership and cross-functional teams to shape infrastructure roadmaps, enable scalable deployments, and ensure resilient production systems.
Make and own high-impact technical tradeoff decisions that judiciously balance velocity, cost efficiency, security, and reliability in a dynamic, growth-oriented environment.
Serve as a technical mentor and force multiplier, elevating the infrastructure capabilities of the broader engineering organization and championing a DevOps-first culture.

We are looking for a senior, hands-on Security Operations Lead to build, mature, and operate detection, response, and corporate security capabilities. You will own the engineering, workflows, and processes that keep secure day-to-day, while continuously improving visibility, automation, and operational resilience across both corporate and production environments. This role requires a technical operator who can architect scalable detection and response pipelines, manage endpoint and identity security controls, streamline GTM security enablement, and collaborate across the company to reduce risk. You will balance strategic direction with hands-on execution-ensuring threats are identified quickly, incidents are handled effectively, and the organizations operational security posture remains strong as grows.
Responsibilities:
Own and mature Detection & Response program, including alerting, triage workflows, incident playbooks, and end-to-end response processes.
Build and maintain detection logic, integrations, and automation across logging, SIEM, EDR, cloud telemetry, and internal monitoring systems.
Lead incident investigations, coordinate response across engineering and business teams, and ensure clear communication and post-incident reviews.
Manage Corporate Security Program, including identity and access management, endpoint posture management, corporate data security controls, and DLP practices.
Oversee privileged access workflows and JIT access for corporate and production systems in alignment with least-privilege principles.
Partner with engineering teams to ensure production environments maintain strong security baselines, logging, and monitoring coverage.
Collaborate with GTM/Sales teams to support Security Enablement, including third-party security questionnaires, customer assurance needs, and auditor inquiries.
Build automation-first operational processes that reduce manual overhead and provide consistent, repeatable security outcomes.
Develop and refine detection and response runbooks, escalation paths, and cross-team coordination models.
Maintain and improve incident and operational metrics, dashboards, and KPIs to measure operational efficiency and threat coverage.
Drive the intake and prioritization of security operations requests through Jira and internal workflows.
Work closely with Product Security, Cloud/DevOps, and GRC to ensure shared visibility and aligned operational practices.
Identify operational security gaps, propose improvements, and lead implementation efforts across tooling, processes, and controls.
Promote a culture of proactive detection, fast response, and shared responsibility for organizational security.

We're seeking a Senior Security Researcher & Team Lead to own and drive security research domain from the ground up. This is a leadership-first role - you'll build and guide a research team, define a new frontier in AI and agentic security, and shape the methodologies and standards that don't yet exist in the industry. If you thrive in ambiguity, love creating structure where there is none, and want to leave a real mark on an emerging security domain, this role is for you.
You'll investigate emerging attack surfaces, architect and implement detection mechanisms, and validate your findings in production environments protecting Fortune 500 customers. It's a high-ownership position that blends deep technical research with strategic thinking and team leadership - with a real sense of urgency to shape the AI security landscape not just, but for the entire security community.
Responsibilities:
Lead and mentor a security research team, driving vulnerability and threat research that generates product value and protects Fortune 500 customers in production environments.
Take end-to-end ownership of detection mechanism design for agentic AI applications - from initial hypothesis through experimentation to production-grade implementation.
Apply expertise across cloud, identity, web, and API security to map and address the evolving AI threat landscape.
Apply LLMs, Agentic AI, and machine learning models to detect security vulnerabilities.
Collaborate closely with engineering and product teams to translate research into actionable, shippable security capabilities.

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
What Youll Do:
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.

This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.
The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.
What Youll Do:
Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

You will architect and build a scalable data platform from scratch, engineering high-throughput, low-latency pipelines that drive real-time security analytics and AI-powered systems. As a key member of the Data & AI Algorithms group, you will collaborate with AI/ML engineers, data scientists, and security researchers to design production-grade infrastructure at scale.
This role requires strong ownership, systems thinking, and the agility to operate in a fast-moving environment.
What Youll Do:
Build ML infrastructure to support scalable, low-latency production deployment of data & AI models.
Ensure availability, reliability, and performance of mission-critical data infrastructure
Define and promote best practices for data modeling, orchestration, CI/CD, and infrastructure-as-code
Collaborate cross-functionally to enable data-driven product capabilities

Were seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen detection capabilities. In this role, youll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. Its a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.
Responsibilities:
Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
Develop, refine, and design world-class detection logic and rules to enhance runtime protection.
Perform threat-hunting activities across large data sources to identify emerging attack patterns
Drive full-cycle research: from hypothesis and experimentation to production validation.
Collaborate with engineering and product teams to deliver actionable insights.

we are looking for a Senior Software Engineer.
Job Description:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principals
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

we are looking for a Software Engineering Team Leader.
Responsibilities:
As an Engineering Manager, you will need to manage, lead and guide a team of software engineers and identify and improve processes, procedures, technical knowledge and expertise of the team.
You will assume ownership of features and deliver value to customers, understand their domain & use cases and provide solutions to their problems
Design, implement and maintain micro-services implemented various technologies and services on AWS and Azure
Deliver high-quality reusable & maintainable features covered by unit tests, components and E2E tests with metrics and monitoring capabilities to enable proper deployment to production
Collaborate with team members and other groups via open discussions, design reviews, code reviews, etc