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We are seeking a highly skilled Senior Automation Infrastructure Engineer to join our quality engineering team and drive innovation in our automation infrastructure. This role is ideal for an experienced engineer passionate about building scalable, robust test frameworks and infrastructure that empower automation and development teams to deliver high-quality products efficiently.

As a Senior Automation Infrastructure Engineer, you will play a key role in developing and maintaining the core components of our automation ecosystem. You will collaborate with automation engineers, developers, DevOps, and QA to design and enhance infrastructure for comprehensive end-to-end, component, API, and UI testing. Your work will enable teams to accelerate their testing cycles through reliable and efficient tooling.

This is a hands-on engineering role with significant ownership and impact across multiple teams and services.

Your Role & Impact:

Design, build, and maintain scalable automation infrastructure and tools for E2E, API, UI, and component testing.

Develop and extend automation services using Python and BDD-based frameworks.

Collaborate closely with QA, DevOps, and development teams to integrate test infrastructure into CI/CD pipelines.

Identify and implement improvements in test stability, performance, and developer experience.

Build and maintain test utilities for reporting, debugging, and failure triage (e.g., log collection, dashboards).

Investigate test infrastructure issues, identify root causes, and drive resolutions to improve reliability.

Ensure infrastructure and tools support test execution across environments (e.g., Dockerized, cloud-native deployments).

Contribute to documentation, best practices, and knowledge sharing across teams.

Were looking for a highly motivated and experienced Go/C++ Engineer to join our strategic core team. This team is responsible for building Aquas cutting-edge endpoint security solutions for Containers, K8S, and Cloud Workloads. We are building a state-of-the-art security platform for large enterprises in the exciting and innovative new field of Cloud Native applications. Our systems are deployed on thousands of customer servers around the world. A distributed system to watch over distributed systems!

Main responsibilities:
Take end to end ownership of projects from requirements to production.
Evaluate technologies, run proof of concepts and promote changes in the technological stack.
Collaborate with all other development teams in R&D.
Be an effective part in owning and supporting the teams services in multiple production environments.
Apply best practices for high quality design, code and tests.
Mentor, support, guide and assist team members in their day-to-day software development challenges.
Understanding the vision, short and long-term goals & product backlog to ensure smooth implementation.
Identify and coordinate dependencies with external teams and stakeholders.
Promote a collaborative team environment that fosters ownership, creativity, and innovation.

Were seeking a Temporary BI Developer to join our team and drive data-driven insights across the organization. In this role, you will take part in the creation of impactful dashboards and reports, contributing to the BI teams ability to deliver exceptional results. Youll support the end-to-end process of building and maintaining dashboardsfrom design to implementationwhile working with databases and ETL workflows.

As a key collaborator, youll work closely with teams across the company to understand their needs and translate them into data solutions. Additionally, you will take part in managing BI projects using modern methodologies and ensuring our data solutions align with business goals.

If youre passionate about turning data into action and thrive in a collaborative, fast-paced environment, wed love to hear from you!

we are looking for a Senior Software Engineer, Google Cloud Security Operations
Responsibilities
Design, develop and launch projects for our cyber-security response platform, taking full ownership of the the entire development lifecycle, from design to implementation, testing, release, and monitoring.
Collaborate closely with software architects, engineers, product managers, UX designers and other engineering teams to define project scope, gather requirements, and ensure feature development and release.
Participate in code reviews, providing constructive feedback, and ensuring adherence to quality coding standards across our team's components and services.
Identify and address issues, performance bottlenecks and challenges, ensuring the platform can handle increasing data volumes and user demands.

Were seeking a Security Researcher with deep expertise in low-level Linux internals and eBPF-based detection development.

Your mission: analyze Linux malware and extract behavioral detections that expose attacker activity even in the most ephemeral cloud-native systems.

Team Nautilus, the threat research group, leads cutting-edge investigations into cloud-native threats from exposing stealthy, fileless malware like HeadCrab to building kernel-level defenses for containerized environments. Our work shapes open-source tools, influences cloud provider security, and protects workloads across the Fortune 500.


Core Responsibilities

Research and analyze sophisticated attack techniques targeting Linux-based cloud-native systems (Kubernetes, containers, serverless).

Build low-level behavioral detections using eBPF, focused on malware execution, privilege abuse, persistence, and evasion techniques.

Prototype observability and response capabilities at the kernel layer, contributing directly to tools like Tracee.

Analyze Linux malware and extract behavioral detections to inform threat detection logic and strengthen defensive capabilities.

Collaborate with engineering teams to translate research into production-grade detection pipelines and runtime protections.

Specialized Focus Areas:

Design and develop eBPF-based sensors that trace syscall activity, privilege escalation paths, network tampering, and stealthy behaviors.

Track emerging malware families targeting cloud-native infrastructure and extract TTPs from live samples and honeypot environments.

Contribute original research to the community through technical blogs, CVEs, conference presentations, or open-source code contributions.

We are looking for a highly skilled and experienced Performance Tech Lead to drive our performance engineering strategy and ensure our systems are highly scalable, reliable, and efficient.

This role is a unique opportunity to combine technical leadership, hands-on optimization, and cross-team collaboration, ensuring performance best practices are embedded across the development lifecycle.

As a Performance Tech Lead, you will define and implement performance testing frameworks, analyze system bottlenecks, and work closely with development, DevOps, and architecture teams to optimize application and infrastructure performance.

You will also provide performance as a service infrastructure, developing self-service tools and frameworks that enable development teams to independently run, analyze, and fine-tune performance tests based on their specific needs.

This role requires deep hands-on expertise, strong analytical skills, and a proactive approach to performance optimization.

Your Role & Impact:
Architect, develop, and scale performance testing infrastructure for load, stress, endurance/longevity, and scalability testing.
Provide performance as a service, building self-service performance testing frameworks that allow development teams to execute and analyze tests autonomously.
Establish and enforce performance KPIs, ensuring optimal system behavior under various workloads.
Conduct in-depth performance analysis, identifying and resolving bottlenecks in APIs, databases, agent, caching, and distributed systems.
Lead the adoption of performance best practices, embedding them into the development and CI/CD pipelines.
Provide mentorship, best practices, and technical guidance to engineering teams, ensuring a performance-first mindset.
Enhance observability and monitoring capabilities, implementing APM tools like Prometheus/Grafana.
Analyze customers incidents, proactively identifying trends and areas for performance improvement.
Advocate for a shift-left approach, ensuring performance considerations are addressed early in the SDLC.