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

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Job Overview

The Sr. Software Engineer at Conexess Group will be responsible for designing, developing, and implementing cutting-edge software solutions focused on fraud detection and security measures. The role demands proficiency in Node.js and TypeScript, alongside familiarity with machine learning algorithms and platforms such as Kubernetes and Python. This position offers the opportunity to work in a collaborative, 100% remote environment where innovative problem-solving and advanced technical solutions are highly valued.

Job Responsibilities

• Develop, test, and maintain software applications using Node.js and TypeScript.
• Implement machine learning algorithms to enhance fraud detection capabilities.
• Design and manage scalable and reliable application deployments using Kubernetes.
• Collaborate with cross-functional teams to gather requirements and design software solutions.
• Write clean and maintainable code, following best practices and coding standards.
• Perform code reviews and provide mentoring to junior developers.
• Participate in troubleshooting and debugging efforts to resolve production issues.
• Stay abreast of emerging technologies and industry trends to facilitate continuous improvement.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of software engineering experience, with an emphasis on Node.js and TypeScript.
• Proficient in machine learning concepts and applications.
• Experience working with Kubernetes and containerization technologies.
• Strong programming skills in Python.
• Knowledge of security protocols and fraud detection methodologies.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills in a remote work setting.

Technologies & Tools

The Sr. Software Engineer will utilize a range of technologies and tools including Node.js, TypeScript, Python, Kubernetes for container orchestration, various machine learning frameworks, and version control systems like Git. Experience with data processing and analytics tools will also be beneficial in this role.

Ideal Candidates

Ideal candidates for this position will exhibit strong technical acumen and a passion for solving complex problems related to fraud and security. They will possess excellent analytical skills, a proactive approach to learning, and the ability to work collaboratively in a distributed team environment. A strategic mindset, paired with attention to detail, will enable them to contribute effectively to the innovative solutions developed at Conexess Group.