DataStealth Discovers, Classifies, and Protects Sensitive Data and Documents.
DataStealth is the ultimate data-centric defense platform in the event of a malicious insider, perimeter, or endpoint compromise.
Instead of relying on protecting your network perimeter, DataStealth protects the data and documents inside your network from attacks from both external and internal sources.
The patented DataStealth technology ensures that your sensitive data and documents are secure and adhere to all applicable privacy, regulatory, governance and compliance requirements.

DataStealth.io

Browse and apply for open jobs at DataStealth.io.

full-stack-engineer

DataStealth.io is a data security platform that helps organizations discover, classify, and protect sensitive data across on-premise, cloud, hybrid, and SaaS environments. It offers tokenization, encryption, dynamic masking, and test-data management without requiring code changes, agents, or APIs, enabling enterprises to enforce data-centric security and meet compliance requirements like PCI DSS, HIPAA, and GDPR. The platform targets large enterprises and partners to deliver unified data-layer protection across AWS, Azure, GCP, file shares, and applications.

DataStealth Discovers, Classifies, and Protects Sensitive Data and Documents. 

DataStealth is the ultimate data-centric defense platform in the event of a malicious insider, perimeter, or endpoint compromise. Instead of relying on protecting your network perimeter, DataStealth protects the data and documents inside your network from attacks from both external and internal sources.

The patented DataStealth technology ensures that your sensitive data and documents are secure and adhere to all applicable privacy, regulatory, governance and compliance requirements.

• Own the multi-year technical roadmap and architecture vision for the DataStealth DSP across discovery, classification, tokenization, encryption, and key management
• Define and evolve engineering standards, platform RFCs, technology selection, and "paved paths" that Principal and Distinguished Engineers build on
• Partner with the CTO, product, and security leadership on build-vs-buy, platform bets, and competitive technical strategy
• Represent DataStealth's architecture externally to enterprise customers, design partners, auditors (PCI-DSS, SOC 2), and the broader security community
• Write production code in our hardest, highest-risk subsystems—tokenization engine internals, high-throughput data-path services, security-critical platform components, and cross-cutting platform libraries
• Lead applied research and experimental development to de-risk our most ambitious projects: timeboxed prototypes, spikes, and reference implementations that the broader team then productionizes
• Set the quality bar through exemplar code, design reviews, and technical mentorship of Principal and Distinguished Engineers
• Work across the stack using the right language for the job: Java (primary), TypeScript/Node.js, Golang, and Rust
• Own end-to-end security architecture for the platform: threat models, trust boundaries, applied cryptographic design, key hierarchies, HSM integration, and compliance boundaries for PCI-DSS, SOC 2, GDPR, and related frameworks
• Apply the right cryptographic tools for the job—not invent them. You know which primitives to use, which libraries to trust, how to design key hierarchies and rotation, where HSM boundaries belong, and how to structure systems so compliance and operational reality both hold
• Act as the final technical escalation point for novel security questions, adversarial scenarios, and high-stakes architectural trade-offs
• Drive secure-by-design engineering culture: threat modeling as a first-class engineering artifact, not an afterthought
• Define and lead DataStealth's application of AI and ML to security problems—data classification, anomaly and sensitivity detection, analyst augmentation, and agentic automation
• Own the technical strategy for combining classical detection (regex, structured matchers, tokenization) with ML-based classification (transformer classifiers, embedding-based similarity, small distilled models) and LLM-based augmentation where appropriate
• Establish DataStealth's defensive posture around AI-specific risks: prompt injection, training data leakage, model poisoning, and adversarial ML—aligned to NIST AI RMF, OWASP LLM/ML Top 10, and MITRE ATLAS
• Evaluate and prototype emerging patterns (agentic security workflows, RAG over telemetry, privacy-preserving inference) and make clear recommendations on what DataStealth adopts, builds, or rejects
• Set architectural direction for cloud-native deployment across AWS, Azure, and GCP—resilience, observability, cost, multi-region, and regulated-workload patterns
• Define standards for CI/CD, container orchestration (Kubernetes/Docker), observability (Prometheus, Grafana, OpenTelemetry, ELK), and infrastructure-as-code (Terraform, Pulumi)
• Lead architectural decisions on event-driven backbones, data stores across paradigms, and high-throughput processing systems
• Provide technical leadership to the Principal and Distinguished Engineer cohort who report to you—design review, architectural direction, unblocking, and craft development through RFCs, architecture guilds, and direct technical mentorship
• Work as a principal technical lead, not a traditional line manager—the executive team handles performance reviews, compensation, and the bulk of people-management load so you can stay deeply technical
• Drive AI-augmented engineering practices across the team—directing agentic AI coding tools (Claude Code, Copilot, Cursor, open-source agents) as disciplined engineering partners, setting the bar on review, testing, and production quality for AI-generated code
• Help hire, grow, and retain our most senior technical talent; raise the technical bar through mentorship, documentation, and visible engineering excellence
• Work cross-functionally with Product, Security, Customer Success, and executive leadership to translate the hardest customer problems into coherent technical strategy

Chief Software Engineer – Architect

Chief Software Engineer Architect leading technical direction for data security platform. Overseeing architecture, engineering standards, and hands-on coding for securing sensitive data.

it-support

• Perform initial IT onboarding of new employees, provisioning IT assets and subscriptions.
• Provide technical support to employees via phone, email, online or in-person, addressing IT issues, troubleshooting, and resolving problems.
• Assist employees with software and hardware installations, configurations, and upgrades.
• Ensure that endpoints (computers, laptops, mobile devices) are properly configured and secure with up-to-date antivirus and anti-malware solutions.
• Troubleshoot network connectivity issues and assist in the setup.
• Implement and manage software updates and security patches to protect against vulnerabilities.
• Create and maintain policy & procedure documentation for general employee use, or for other IT administrators.
• Maintain records of employee issues, resolutions, and configurations.
• Educate employees on cybersecurity best practices, password management, and data protection.
• Collaborate with the compliance and cybersecurity teams to ensure IT systems align with security policies and procedures.

IT Support Specialist

IT Support Specialist providing technical support for internal team at DataStealth. Ensuring cybersecurity best practices and maintaining IT infrastructure.

• Design, develop, test, and operate cloud-native microservices
• Build and scale distributed systems
• Collaborate with security architects
• Optimize cloud cost, performance, and reliability

Software Engineer

Intermediate Software Engineer developing cloud-native microservices to secure sensitive data for clients. Collaborating with cross-functional teams in a fast-paced environment.

product-designer

• Lead UX Design for Complex Workflows
• Design end-to-end user experiences for complex enterprise security workflows.
• Map user journeys and task flows for core product functionality.
• Identify friction points and usability risks within technical configuration processes.
• Design structured configuration workflows that guide users through complex technical decisions while clearly communicating system state, validation errors, and operational impact.
• Conduct user interviews and usability sessions to understand how enterprise customers interact with the platform.
• Analyze product feedback, support issues, and usage patterns to identify UX improvement opportunities.
• Translate research insights into actionable design recommendations and product improvements.
• Design scalable information architecture across dashboards, configuration tools, and monitoring features.
• Structure navigation systems that support clarity and discoverability across the platform.
• Develop wireframes and interactive prototypes to explore UX solutions before engineering implementation.
• Clearly communicate design rationale and user-centered thinking to technical and non-technical stakeholders.

Senior UX Designer

Senior UX Designer creating intuitive user experiences for DataStealth's complex enterprise workflows and systems. Leading UX design efforts to ensure usability and clarity in technical configurations.

systems-engineer

• Implement and configure DataStealth solutions in customer environments;
• Collaborate with project teams to integrate and deploy DataStealth solutions (tokenization, encryption, tamper protection, masking, monitoring) effectively.
• Troubleshoot and solve connectivity, firewall, remote access, and VPN issues with confidence.
• Stay curious, learn new tech, bring fresh ideas to the table, and document the journey to improve future implementations.

System Engineer

Systems Engineer deploying DataStealth solutions in customer environments, troubleshooting complex networking issues and ensuring system connectivity. Collaborating with teams and implementing advanced security features.

DataStealth Discovers, Classifies, and Protects Sensitive Data and Documents. DataStealth is the ultimate data-centric defense platform in the event of a malicious insider, perimeter, or endpoint compromise. Instead of relying on protecting your network perimeter, DataStealth protects the data and documents inside your network from attacks from both external and internal sources. The patented DataStealth technology ensures that your sensitive data and documents are secure and adhere to all applicable privacy, regulatory, governance and compliance requirements.

DataStealth.io

About the company

Open jobs

5 jobs found

Chief Software Engineer – Architect

DataStealth.io

IT Support Specialist

DataStealth.io

Software Engineer

DataStealth.io

Senior UX Designer

DataStealth.io

System Engineer

DataStealth.io