Sr. Software Engineer (Node/TypeScript, ML, Kubernetes, Python, Fraud/Security) - 100% Remote

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Written by AI from the job title and company, not by Conexess Group, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Sr. Software Engineer at Conexess Group will play a critical role in the design, development, and deployment of innovative software solutions utilizing Node.js and TypeScript, with a focus on machine learning applications and security measures against fraud. This 100% remote position requires a proactive engineer to collaborate with cross-functional teams, ensuring the successful implementation of robust architectures and systems that adhere to industry best practices.

Job Responsibilities

• Design, develop, and maintain applications using Node.js and TypeScript.
• Implement machine learning algorithms and integrate them into existing systems.
• Manage container orchestration using Kubernetes to enhance application scalability and performance.
• Collaborate with data scientists and security teams to mitigate fraud risks through effective software solutions.
• Conduct code reviews and maintain high-quality code standards.
• Troubleshoot and resolve software-related issues in a timely manner.
• Participate in strategic planning sessions to align technology solutions with business goals.
• Contribute to documentation and architecture design specifications for current and future projects.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in software development, preferably in a remote setting.
• Proficiency in Node.js and TypeScript; experience with Python is a plus.
• Solid understanding of machine learning principles and frameworks.
• Hands-on experience with Kubernetes and containerization technologies.
• Strong knowledge of security practices related to software development, particularly in preventing fraud.
• Excellent problem-solving skills and the ability to work collaboratively with diverse teams.
• Possess strong written and verbal communication skills.

Technologies & Tools

The ideal candidate will be proficient with a comprehensive technology stack that includes Node.js, TypeScript, Python, Kubernetes, and various machine learning frameworks. Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and version control systems like Git is also essential. Experience with security tools and libraries for fraud detection compliments the technical requirements for this position.

Ideal Candidates

Ideal candidates for the Sr. Software Engineer position should possess a strong technical foundation coupled with a keen interest in fraud prevention and security measures. They should demonstrate a collaborative spirit, all while being highly self-motivated and able to work effectively in a remote environment. A passion for continuous improvement, both in personal skills and technological advancements, is highly valued. Candidates should also be adept at managing their time and priorities, striving for excellence in a fast-paced, innovative environment.