Were a team of builders and innovators who thrive on complex technical challenges. If youre energized by distributed systems, cloud-native architectures, and the opportunity to protect thousands of organizations worldwide, we want to hear from you.

Join us in expanding security platform, where innovation meets impact.

What Youll Do:

Architect and build scalable backend services that scan millions of cloud resources daily across multi-cloud environments

Design and implement distributed systems that process massive volumes of security data with high reliability and low latency

Develop agentless scanning capabilities for vulnerability detection, configuration assessment, and data security across cloud workloads

Collaborate cross-functionally with security researchers, product managers, and fellow engineers to deliver features that customers love

Own features end-to-end - from design and implementation through deployment, monitoring, and iteration

Drive technical excellence through code reviews, architectural discussions, and mentoring team members

Solve complex challenges in cloud security, data processing, and distributed systems at enterprise scale

Required Tetragon Software Engineering Technical Leader
Job Description
Meet the Team
We are the company founded by the creators of Cilium and eBPF. Isovalent builds open-source software and enterprise solutions solving networking, security, and observability needs for modern cloud native infrastructure. The flagship technologies, Cilium and Tetragon, are the choice of numerous, industry-leading, global organizations.
We believe in fostering an inclusive workplace where every team member feels valued, respected, and empowered. We believe that every employee contributes to our success, and we are committed to fostering an environment where everyone can thrive. We encourage candidates from all backgrounds to apply and join us in our mission to deliver exceptional products and services.
Your Impact
Tetragon is a flexible, Kubernetes-aware observability and security tool that delivers real-time insights and enforcement. Leveraging the power of eBPF, Tetragon provides low-overhead, in-kernel visibility and intelligence across diverse environments.
As a Technical Leader, you will be at the forefront of advancing Tetragons capabilities. You will guide architectural direction while staying deeply engaged in building the systems that power our platform. Your impact will span designing high-performance data pipelines, optimizing database and distributed system performance, and ensuring massive streams of system events can be ingested, aggregated, and distilled into meaningful intelligence.
You will collaborate closely with teams across, including Hypershield and Splunk, to create the integration points that transform raw data into actionable insights for enterprise security. In this role, youll solve some of the most complex system-level challenges in observability and infrastructure, helping Tetragon evolve to meet the needs of modern cloud-native environments.
What youll do:
Develop high-quality Go (and eBPF) code for the Tetragon project.
Design and implement new Tetragon features to enhance its capabilities for Runtime security detection and enforcement
Design and optimize systems for large-scale Tetragon deployment and operation in K8s or VM platforms
Architect infrastructure that converts raw event data into intelligence streams with minimal performance overhead.
Contribute to open-source projects and represent Isovalent in community discussions.
Participate in architecture reviews, code reviews, and documentation.

As the Senior Knowledge Engineer, you will be the designer of a system that treats global infrastructure as a formal graph, where every node and edge is traced back to a versioned source of truth. This role is a part of the Product CTO organisation that includes a team of Technical Strategy leaders that bring outstanding ideas, the ability to execute cross functionally, and teamwork to a strategic, high future impact organisation.

The Vision:

The security industry is drowning in observed symptoms while starving for attestable truth. At CrowdStrike, we are building a high integrity infrastructure fabric - a platform that doesnt just scan for risks, but proves them through a deterministic digital twin of the enterprise.

The Challenge Youll Solve: How do you build a robust extensible framework that can connect to hundreds of different APIs, from mainstream cloud providers to niche security tools? How do you write the code that can parse and normalise their widely different schemas and data formats, and then efficiently map them into a canonical graph model? This is your build.

What You'll Do:
Build our Universal Translator Framework: You will be the primary builder of our data ingestion and semantic transformation pipelines. You will design and implement the core framework and specific connectors to parse API schemas and transform raw data into our canonical model.

Architect the Knowledge Construction Engine: You will implement the systems that turn data into knowledge. This includes building the code generators that compile our team's high level mapping configurations into low level artifacts, and developing the software for our entity resolution engine to fuse disparate data into unified conceptual entities.

Data Quality & Validation Strategy: You will contribute to a multi-backend graph architecture optimized for both real time temporal state and deep multihop path analysis.

Work Crossfunctionally: Work closely with the Principal Ontologist, Asset Platform, Risk Platform, Ingest, and Design Teams.

Lead, Mentor, and Align: Guide a diverse team of engineers, taxonomists, and subject matter experts in distilling vendor specific noise into a unified topography of risk.

Provide support to the wider CTO organization including the Falcon Fund, Privacy & Cyber Policy, Data Science and Detection Architecture teams, as well as the broader CrowdStrike organization as needed.

Work with industry analysts to provide product updates, briefings, and demonstrations.

we are looking for a Engineering Team Lead.
In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!
What youll do: As the Team Leader , you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. Youll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!
Responsibilities:
Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

Were looking for a Pentest Product Associate to join our Product team and help expand the power of our company.
In this pivotal role, you will be the primary operator of our cutting-edge AI-driven Dynamic Application Security Testing (DAST) agent while simultaneously innovating detection mechanisms for cloud-native technologies.
You will bridge the gap between automated AI testing and cloud infrastructure, defining the "rules of engagement" for our agents to ensure they effectively simulate sophisticated attacks and accurately classify the modern attack surface.
WHAT YOULL DO
Engineer Detection & Attack Logic: Develop advanced detection algorithms to classify cloud technologies while fine-tuning the attack policies that define how our agents identify and exploit vulnerabilities.
Validate Complex Findings: Analyze cloud services, APIs, and log payloads to review complex attack paths, reducing false positives and ensuring compliance with industry standards.
Research Novel Threats: Stay at the forefront of novel attack vectors and emerging cloud/API threats, translating new techniques into executable behaviors for the company DAST engine.
Drive Product Evolution: Collaborate directly with Research, Backend, and R&D teams to turn operational insights into feature requests, positioning our company as the market leader in vulnerability management.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 3-4 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.

Were looking for an experienced and passionate Software Engineering Team Leader to join our Elastic WAF group - the group behind most strategic and modern next-generation WAF product lines within the AppSec organization.
The Foundation team builds the core infrastructure that powers these products. The team is responsible for developing the foundations of new Cloud-Native and SaaS WAF solutions, designed for simple, fast, and DevOps-friendly onboarding and installation. These products deliver best-of-breed security through a modern, scalable architecture and seamless operational experience.
If youre passionate about leading talented engineers, designing scalable systems, and shaping the architecture of cutting-edge security products, wed love to meet you.
Key Responsibility:
Lead a team of 4 skilled developers focused on building and maintaining core components, shared services, and developer tooling.
Lead distributed system design decisions and continuously improve system performance, maintainability, and technical standards.
Design and evolve scalable, multi-tenant SaaS architecture and cloud-native platform services (microservices, APIs, event-driven systems).
Be hands-on with architecture and development in Java, Go, and Kubernetes.
Drive cross-team initiatives that improve development efficiency, reliability, and scalability.
Act as a mentor and coach to help team members grow professionally and technically.
Collaborate with engineering leads and product stakeholders to set technial direction and priorities.
Champion innovation, transparency, and a strong engineering culture.
Ensure reliability and operational excellence, implementing observability (metrics/logs/tracing) and strong incident response practices.

We are seeking an experienced Backend Team Lead, to build and lead a high-performing backend engineering team while driving critical technical initiatives across our platform. This is a pivotal role where you'll balance hands-on technical contribution with people leadership, shaping both our engineering culture and technical architecture.

You'll own significant parts of our backend infrastructure - from large-scale image processing pipelines and AI model serving systems to distributed cloud architecture and RESTful APIs. As a technical leader, you'll mentor engineers, drive architectural decisions, and ensure our systems scale to handle billions of images while maintaining reliability and performance.

Additionally, you will serve as a Squad Lead, managing a cross-functional business unit that includes both Backend and Frontend engineers, driving end-to-end product delivery.

This role offers the opportunity to directly impact our growth by building the team and systems that power our AI-driven photo editing platform used by professional photographers worldwide.


Responsibilities
Lead, mentor, and grow a team of Backend engineers, conducting 1-on-1s, performance reviews, and career development planning.
Lead a cross-functional squad (Backend + Frontend engineers) as a Squad Lead, driving product initiatives from conception to delivery.
Drive technical strategy and architectural decisions for Backend systems, ensuring scalability, reliability, and maintainability.
Develop and optimize scalable, distributed systems on cloud infrastructure.
Balance hands-on technical work (coding, design reviews, troubleshooting production issues) with team leadership and strategic planning.
Conduct code reviews and establish best coding practices, ensuring adherence to engineering standards across your team.
Monitor system health and lead incident response efforts to ensure high availability of customer-facing services.
Foster a culture of ownership, continuous improvement, and technical excellence within your team.

We help organizations reinvent themselves. Through data, technology, and strategic thinking, we lead transformation processes that reshape how organizations operate, make decisions, and grow. If youre looking to work in an environment that encourages initiative, challenges ideas, and creates real impact - this is the place for you. Integrity, excellence, and innovation are not just values - they are our standard. We are looking for a Cloud Security Engineer who combines strong technical skills with a client-facing mindset, to help design, secure, and evolve cloud environments for leading organizations. This role offers exposure to real-world enterprise challenges across Azure, Microsoft 365, and modern security architectures, with growing involvement in AI security topics. What youll do:
* Work hands-on with clients to design and secure Azure and Microsoft 365 environments
* Deliver cloud security solutions across identity, data protection, and monitoring
* Conduct security assessments and configuration reviews in enterprise environments
* Support architecture design and implementation of security controls
* Act as a trusted technical advisor for clients
* Take part in projects involving AI systems, focusing on risks, data protection, and security best practices
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