Software Engineer - Netwrix Privilege Secure Discovery

Netwrix
Kraków, PolandPosted 15 April 2026

Job Description

Software Engineer - Netwrix Privilege Secure Discovery About Us At Netwrix, our mission is to revolutionize data security by placing identity at the core - providing unparalleled visibility and control. Engineered and supported by over 900 highly talented, motivated employees and hundreds of trusted partners in nearly every geography, Netwrix solutions are relied upon daily by security professionals across more than 13,500 organizations in over 100 countries around the world. Over the past two decades, Netwrix has expanded its market presence through innovation, organic growth, and strategic acquisitions, and are proud to be backed by renowned private equity firms, TA Associates and Centerbridge Partners. Netwrix maintains a global presence, fostering a remote-first work environment while encouraging and facilitating frequent face-to-face interaction with colleagues, customers, and partners. Position Overview We are seeking a Mid-Level Software Engineer to join the team behind Netwrix Privilege Secure (NPS) Discovery, a key product focused on discovering, classifying, and securing sensitive data across enterprise environments. In this role, you will contribute to the ongoing evolution of NPS Discovery into a scalable, cloud-enabled platform, helping organizations gain visibility into their data and reduce security risk. You’ll work closely with engineers, architects, and product managers to deliver reliable, high-performance features for data scanning, processing, and reporting. This role is ideal for an engineer who can independently deliver features, contribute to design discussions, and continue growing technical depth in cloud and security-focused systems. Key Responsibilities Design, develop, and maintain production-quality software features for data discovery and classification Build and enhance backend services and REST APIs Develop and maintain user interfaces using React and Redux Contribute to systems that process and analyze large volumes of data Participate in design discussions and technical decision-making with guidance from senior engineers Write clean, maintainable code and ensure quality through testing and code reviews Debug issues, identify root causes, and implement effective solutions Collaborate with cross-functional teams to deliver features on time Continuously improve system performance, scalability, and reliability Qualifications & Experience Required 2–5 years of professional experience developing software applications or services Solid understanding of software development fundamentals, data structures, and system design basics Ability to independently deliver well-scoped features Programming & Frameworks Proficiency in: TypeScript / Node.js Python React + Redux Experience with Golang (or willingness to learn) Core Infrastructure & Data Hands-on experience with MongoDB (basic schema design, queries, aggregations) Experience working with Docker / Docker Compose Experience designing and consuming REST APIs Cloud & DevOps Exposure to cloud platforms (Azure preferred; AWS or GCP acceptable) Familiarity with CI/CD pipelines (e.g., Azure Pipelines) Basic understanding of DevOps concepts and workflows Security & Domain Knowledge Familiarity with authentication and authorization concepts: OAuth2, JWT, SAML, LDAP/Active Directory Basic understanding of directory services (Active Directory, Entra ID / Azure AD) General Skills Experience working in collaborative, team-based environments Strong problem-solving and debugging skills Good written and verbal communication skills in English Willingness to learn and grow in a fast-paced environment Preferred Experience working with microservices-based architectures Familiarity with Kubernetes or cloud-native deployment patterns Experience working on data-intensive or performance-sensitive systems Hands-on experience with Azure Pipelines or similar CI/CD tools Experience with LDAP administration Familiarity with gRPC ... (truncated, view full listing at source)
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