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We are seeking a highly experienced Software Architect to join our team and take ownership of designing and developing complex systems that directly impact our technology. In this role, youll work cross-functionally with R&D teams to build solutions that address critical needs, drive efficiency, and lead meaningful processes within the organization.


Responsibilities:
Architectural Design & Strategy: Define and develop scalable and efficient system architectures.
Mentorship & Technical Leadership: Guide and mentor R&D teams, ensuring best practices and high-quality technical decisions.
Cross-functional Collaboration: Work closely with engineering, product, data science teams, and other stakeholders to translate business needs into technical solutions.
Problem Solving: Analyze and resolve complex technical challenges with innovative solutions.
Performance Optimization: Ensure system reliability, scalability, and performance through architectural improvements.

We are seeking a Senior Backend Engineer to join our R&D team and play a key role in driving drive our growth among cloud-based companies across the globe. You will be part of the Classification team, responsible for developing and optimizing our classification engine and detection systems, including the Data Detection and Response (DDR) framework.

Beyond these core functions, our team manages our MLOps infrastructure and orchestrates various data pipelines, ensuring smooth data flow and processing across the organization.

Responsibilities:
Play a crucial role in our Classification and Detection components, driving their development and optimization.
Design and develop scalable, data-intensive, realtime solutions.
Collaborate with R&D teams, product managers, and customer-facing solution engineers to deliver end-to-end features and tackle complex engineering challenges.
Lead and establish engineering best practices, including code standards and quality guidelines, while mentoring team members in their implementation.
Drive the architectural design and technical direction of key data processing components, ensuring scalability and maintainability.

We are looking for a Senior Platform Engineer to join the DevOps team and work across two core domains:

Internal platform and DevOps ownership: Developer experience, CI/CD, observability, reliability, and cost optimization.
Customer cloud integrations: Developing, maintaining, and supporting Infrastructure-as-Code and tooling that customers use to deploy and integrate the product into their own cloud environments.

This role blends hands-on engineering, cloud architecture, and customer-facing technical work, and requires strong Infrastructure-as-Code skills alongside the ability to collaborate with external teams.


Responsibilities:

Internal Platform & DevOps:
Design, develop, and maintain internal platform infrastructure and tooling that improves developer experience, application delivery, and operations.
Build and operate CI/CD pipelines for application and infrastructure deployments (e.g., GitHub Actions, ArgoCD), with a focus on fast, reliable feedback for developers.
Own observability and reliability for internal systems using tools such as Grafana, Datadog, Coralogix, OpenTelemetry, or similar, including metrics, logs, alerting, dashboards, and runbooks.
Lead FinOps and cost optimization initiatives across platform services and observability tooling.

Customer Cloud Integrations:
Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed, sometimes during US business hours.
Collaborate with customers on best practices for secure, reliable, and cost-efficient deployments.

We are looking for a Senior Backend Engineer to join our R&D team and play a pivotal role in building our multi-cloud scanning system. This position is ideal for engineers who excel in solving large-scale challenges within a fast-paced startup setting, and who are passionate about pushing the boundaries of data security in a cloud environment.

Responsibilities:
Lead the design and development of our cloud scanning orchestration system, ensuring efficiency and scalability across multiple cloud environments.
Handle multiple system interactions, working with microservices and cloud-native components to build a robust and flexible scanning solution.
Research various Datasources APIs in order to develop connectors and perform efficient data scanning. Develop and implement efficient data scanning connectors by researching the APIs of various data sources.
Collaborate closely with cross-functional teams, including R&D engineers, product managers, and solution engineers, to deliver end-to-end features and tackle complex engineering challenges.
Gain a high-level architectural perspective while maintaining the ability to dig into technical specifics and optimize system performance.

We're seeking a talented Data Analyst to join our Data Analysts team.

This role combines technical expertise with analytical thinking to ensure our data classification systems deliver accurate, reliable results for our customers. We use a combination of ML abilities, including NER and LLMs, along with great engineering and analytics to deliver findings on millions of files and tables a day.

Responsibilities:
Design and implement classification to expand coverage of sensitive data types, owning the end-to-end process from research and analysis through production deployment.
Design, build, and maintain data pipelines and dashboards to track product performance, business metrics and deliver actionable insights to stakeholders at all levels.
Build automated workflows to evaluate and benchmark model performance, monitor data quality, and generate comparative analysis reports.
Work from within the R&D Data team, take part in the discussions revolving around our AI research objectives, priorities and solutions.