990 | Senior Python Fullstack Engineer at Intetics

, , Lithuania -

Full Time

Start Date

Immediate

Expiry Date

27 Dec, 25

Salary

0.0

Posted On

28 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Django, MySQL, TypeScript, React, Tailwind, Docker, Cloud Environments, Agile, Cybersecurity, Vulnerability Management, Threat Intelligence, Big Data, Linux, AI, R&D

Industry

IT Services and IT Consulting

Description

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior Python Fullstack Engineer to join our dynamic team on a full-time basis. About the project: This project offers a unified platform that consolidates vulnerability, threat, and asset data, enabling organizations to effectively prioritize and remediate critical exposures. By integrating information from over 150 security tools, it provides a centralized hub for risk-based vulnerability management, automating workflows and enhancing security outcomes. The platform is designed to scale and streamline vulnerability and exposure management programs, ensuring efficient mitigation of potential threats Role Overview As a Senior Software Engineer in our Engineering team, you'll operate at the frontier of innovation, taking early ideas and high-level product vision and translating them into real, impactful software. You’ll work closely with product and security experts to design and build new features, services, and tools that push the boundaries of what’s possible in vulnerability management. This role offers a balanced blend of backend and frontend development, with approximately 50% of your time spent architecting scalable backend systems and the other 50% dedicated to crafting dynamic, user-focused frontend experiences. What You’ll Do - You will work with founders, multiple members of the R&D team, and the engineering team to develop new, experimental technologies. - The core responsibility is to develop our new to market, AI-driven vulnerability intelligence platform and data feed. Take ownership of design, implementation, and deployment in conjunction with the R&D team. - Collaborate with cross-functional teams across the globe, each working in different technology stacks. - Build scalable backend systems using Python (Django) and MySQL or SingleStore. - Develop dynamic and responsive user interfaces with TypeScript, React and Tailwind. - Investigate and incorporate emerging trends in cybersecurity into product ideas. - Write clean, maintainable, and well-tested code. - Participate in architectural discussions and code reviews. - 5+ years of professional software engineering experience. - Proven ability to thrive with minimal direction, especially in ambiguous or R&D-heavy environments. - Strong backend development experience with Python, Django 4.2, and the Django REST Framework. - Solid front-end development experience with TypeScript + React 19 - Experience with relational databases, especially MySQL. - Experience with docker and containerization. - Experience working in cloud environments, ideally AWS. - Familiarity with Agile/Scrum methodologies in a professional setting. - Mindset: Creative thinker who enjoys solving hard problems and experimenting with novel solutions. - Cybersecurity Passion: Demonstrated interest or background in cybersecurity. Experience in vulnerability management, threat intelligence, or related domains is highly desirable. Will Be Plus: - Engineering team lead experience - Experience working on multiple projects at the same time - Experience with big data analytical systems such as Big Query, Redshift, Snowflake, Databricks, SingleStore, etc... - Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM Scanning, Container, etc.) - Experience maintaining applications on Linux platforms in cloud environments.

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Responsibilities

Develop new, experimental technologies for an AI-driven vulnerability intelligence platform. Collaborate with cross-functional teams to design and build features that enhance security outcomes.