Full Stack Software Engineer (Backend)

About MSIGHTS

Founded in 2004, North Carolina-based MSIGHTS provides cloud-based marketing data integration services to some of the world’s most sophisticated global advertisers. As marketing channels proliferate, so do the data sources marketers must examine in order to quantify results and guide strategy. MSIGHTS services make marketers more efficient and successful by providing a single view of overall marketing performance with actionable insights on what works and what doesn’t. MSIGHTS cloud‑based platform automatically collects and reconciles disparate data, making it immediately available to fuel a wide variety of analytical and visualization tools.

Location : Monterrey, México

Job Summary

Join our team as a Full-Stack Software Engineer, specializing in backend technologies, to build and maintain robust systems that power our innovative products. In this role, you'll leverage cutting‑edge tools and techniques to design and deliver scalable, high‑performance solutions while ensuring data security, redundancy, and availability.

As a key team member, you'll collaborate with cross‑functional teams, document technical processes, and actively contribute to enhancing our platform's backend infrastructure. Your commitment to continuous improvement, initiative, and passion for delivering excellence will be central to our mission.

We value innovation and teamwork, and we’re looking for someone who thrives in a dynamic, fast‑paced environment.

Responsibilities

• Develop, maintain, and enhance backend services, APIs, and infrastructure for our platform using modern technologies.
• Design and implement RESTful web services and integrate with both relational (PostgreSQL, SQL) and non‑relational (DynamoDB) databases.
• Work with AWS Services (Elastic Beanstalk, Lambda, S3, EC2, RDS) to build scalable, serverless, and microservices‑based solutions.
• Collaborate with the frontend and DevOps teams to ensure seamless integration and deployment processes.
• Write clean, maintainable, and efficient code following best practices and coding standards.
• Leverage Python libraries like pandas and numpy for file management and data processing tasks.
• Debug, optimize, and enhance application performance while troubleshooting and resolving issues.
• Document processes, propose innovative ideas, and actively participate in Agile and Scrum practices.

Qualifications and Skills

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