Go Interactive

About the Company:

Our client is a San Francisco-based cybersecurity startup helping organizations secure and manage sensitive data. Their AI-powered platform discovers, classifies, and protects sensitive data across cloud apps, infrastructure, and internal systems, preventing leaks and ensuring compliance.

About the Product:
The first AI-native data leak prevention (DLP) solution, designed for modern enterprises. It protects sensitive data across SaaS, email, endpoints, and AI tools with high accuracy and minimal disruption. The Developer Platform allows flexible integration of data protection capabilities.

About the Role:
As a Backend Engineer, you’ll build low-latency, real-time microservices for detecting sensitive data. This team focuses on data exfiltration prevention on endpoints (MacOS or Windows), developing core platform features using deep OS-level knowledge.

Requirements:

• Minimum 5+ years of related work experience.
• Expertise in one of the following: Objective-C, Swift on MacOS or C/C++ on Windows.
• Demonstrable expertise in developing agents on one of MacOS or Windows:
• On MacOS, practical development experience with Endpoint Security System Extension is required. A plus will be knowledge of IOKit and of MacOS VFS model.
• On Windows, practical development experience with WDF (Windows Driver Frameworks), filter drivers and familiarity with user mode apps is required.
• Readiness to learn other systems languages (e.g. Rust, Go, Python). Prior experience in one of these languages is a definite plus.
• Experience with kernel-level debugging processes and tools. Ability to use reverse engineering techniques and debugging of kernel space code.
• Ability to decompose complex business problems and own them end to end across teams.
• Upper-Intermediate English.

Responsibilities:

• Designing and developing data exfiltration prevention apps, drivers, system extensions and services on MacOS or Windows.
• Maintaining and evolving mission-critical agents on endpoints.
• Own complex features from design to delivery and troubleshoot issues from customers.
• Designing and building secure software with cross-platform deliverables (Windows, MacOS).
• Writing and maintaining documentation about internal and public services.

What we offer:

• Long-term employment with competitive compensation, based on experience.
• Possibility to work remotely.
• An open, transparent and fun work culture.
• Multi-national team and collaborative work environment.
• Continuous knowledge sharing with engaged co-workers.
• Career and professional growth opportunities.

About the Role

For our client, we are looking for an experienced Senior Database Systems Engineer to join the engineering team and contribute to the development of core analytics products. In this role, you will design and build advanced database features, develop tools and extensions for PostgreSQL, and work on high-performance analytical systems.

You will play a key role in developing and improving the analytics product ecosystem, including WarehousePG (WHPG), Postgres Analytics Accelerator (PGAA), as well as related extensions, migration tools, monitoring systems, and performance optimizations.

This role is ideal for engineers who enjoy working close to the database engine, optimizing complex systems, and solving challenging performance problems.

Responsibilities

• Design and develop database features, extensions, and tools for PostgreSQL-based systems.
• Contribute to the development and evolution of core analytics products, including WHPG and PGAA.
• Implement new features and performance improvements within the database ecosystem.
• Review and improve code contributions from other engineers to maintain high quality standards.
• Write and maintain regression tests for bug fixes and newly implemented features.
• Investigate and resolve complex database, network, and system-level issues.
• Work with CI/CD pipelines to ensure smooth integration, testing, and deployment of software.
• Collaborate with engineers and product teams to improve system reliability, scalability, and performance.

Requirements

• 5+ years of experience in database development or systems-level software engineering.
• Strong expertise in at least one systems programming language such as C, C++, Rust, or Go.
• Solid understanding of computer science fundamentals including algorithms, operating systems, and data structures.
• Experience developing and debugging software in Linux environments.
• Hands-on experience with database performance optimization.
• Strong analytical and problem-solving skills when working with complex systems.
• Good written and verbal communication skills.

• Upper intermediate English 
   

  Nice to Have

• Experience with distributed databases or MPP systems such as Greenplum.
• Experience with analytical engines or frameworks such as Spark, DataFusion, or DuckDB.
• Familiarity with distributed query optimizers such as Orca.
• Understanding of PostgreSQL internals.
• Experience working with machine learning libraries or ML-related data processing.
• Experience with GitHub Actions or other CI/CD automation tools.
• Prior contributions to open-source database projects.

What We Offer

• Fully remote work.
• A professional, supportive, and friendly team.
• Long-term employment with competitive compensation, based on experience.
• Continuous knowledge sharing with engaged co-workers.

We are looking for a Lead Full-Stack Engineer for our client, a company that helps organizations prepare for, manage, and recover from cyber crises. The company evaluates cyber resilience and develops tailored action plans to reduce operational, financial, and regulatory risks. It provides end-to-end crisis management support, including incident response, operations, communications, and negotiations. With extensive experience assisting organizations under cyberattacks, it helps minimize disruption and protect business continuity and reputation.

Requirements:

• Strong expertise in AWS architecture and cloud-native development, including Lambda, Fargate, SQS/SNS, and Kubernetes-based environments.
• Hands-on experience with Aurora PostgreSQL, including database design, performance tuning, scalability, and reliability.
• Strong backend development experience with Node.js and TypeScript in production environments.
• Experience designing and building scalable, event-driven, and serverless architectures.
• Practical experience with React and collaboration with frontend teams.
• Experience with AI-based systems and agent development, including integration with tools such as Claude (or similar).
• Ability to lead technical discussions, define architecture, and make strategic technical decisions.
• Strong problem-solving skills and ability to work effectively in high-pressure environments.
• Strong English (B2+) for communication with stakeholders and international teams.

Would be a plus:

• .NET experience.
   

Responsibilities:

• Develop and maintain AWS-based backend services using Node.js and TypeScript.
• Design and implement serverless and event-driven solutions with Lambda, Fargate, SQS/SNS, and Kubernetes.
• Work with Aurora PostgreSQL to create database schemas, optimize queries, and ensure performance.
• Integrate AI-based systems and agents to improve automation and analysis.
• Follow security best practices and keep systems reliable and safe.
• Help the team with technical questions and share knowledge.
• Support platform operation, monitor performance, and fix issues as they appear.

We offer:

• Long-term employment with competitive compensation, based on experience.
• Possibility to work remotely.
• An open, transparent and fun work culture.
• Multi-national team and collaborative work environment.
• Continuous knowledge sharing with engaged co-workers.
• Career and professional growth opportunities.

About the Company:

Our client is a San Francisco-based cybersecurity startup helping organizations secure and manage sensitive data. Their AI-powered platform discovers, classifies, and protects sensitive data across cloud apps, infrastructure, and internal systems, preventing leaks and ensuring compliance.

About the Product:
The first AI-native data leak prevention (DLP) solution, designed for modern enterprises. It protects sensitive data across SaaS, email, endpoints, and AI tools with high accuracy and minimal disruption. The Developer Platform allows flexible integration of data protection capabilities.

About the Role:
As a Backend Engineer, you’ll build low-latency, real-time microservices for detecting sensitive data. This team focuses on data exfiltration prevention on endpoints (MacOS or Windows), developing core platform features using deep OS-level knowledge.

Requirements:

• Minimum 5+ years of related work experience.
• Expertise in one of the following: Objective-C, Swift on MacOS or C/C++ on Windows.
• Demonstrable expertise in developing agents on one of MacOS or Windows:
• On MacOS, practical development experience with Endpoint Security System Extension is required. A plus will be knowledge of IOKit and of MacOS VFS model.
• On Windows, practical development experience with WDF (Windows Driver Frameworks), filter drivers and familiarity with user mode apps is required.
• Readiness to learn other systems languages (e.g. Rust, Go, Python). Prior experience in one of these languages is a definite plus.
• Experience with kernel-level debugging processes and tools. Ability to use reverse engineering techniques and debugging of kernel space code.
• Ability to decompose complex business problems and own them end to end across teams.
• Upper-Intermediate English.

Responsibilities:

• Designing and developing data exfiltration prevention apps, drivers, system extensions and services on MacOS or Windows.
• Maintaining and evolving mission-critical agents on endpoints.
• Own complex features from design to delivery and troubleshoot issues from customers.
• Designing and building secure software with cross-platform deliverables (Windows, MacOS).

• Writing and maintaining documentation about internal and public services.
   

   

What we offer:

• Long-term employment with competitive compensation, based on experience.
• Possibility to work remotely.
• An open, transparent and fun work culture.
• Multi-national team and collaborative work environment.
• Continuous knowledge sharing with engaged co-workers.
• Career and professional growth opportunities.