Full Stack Software Engineer - Backend
About the job
- At least 3 years of experience in backend development or full-stack roles with a backend focus.
- Proficiency in Java and Python.
- Strong understanding of RESTful APIs, microservices, and serverless architecture.
- Experience with relational databases, including PostgreSQL and SQL, and non-relational databases, including DynamoDB.
- Hands-on experience with AWS services, including Elastic Beanstalk, Lambda, S3, EC2, and RDS.
- Understanding of data structures, algorithms, and file management using Python.
- Familiarity with Git or other version control systems.
- Strong written and verbal communication skills in English, with the ability to collaborate effectively with internal teams.
- Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
- Develop, maintain, and enhance backend services, APIs, and infrastructure for the platform using modern technologies.
- Design and implement RESTful web services and integrate them with relational databases, including PostgreSQL and SQL, and non-relational databases, including DynamoDB.
- Use AWS services, including Elastic Beanstalk, Lambda, S3, EC2, and 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.
- Use Python libraries such as pandas and numpy for file management and data processing tasks.
- Debug, optimize, and enhance application performance while troubleshooting and resolving issues.
- Document processes, propose ideas, and participate in Agile and Scrum practices.
About the company
MSIGHTS provides a cloud-based marketing data platform that unifies, manages, and operationalizes data for enterprise marketers, enabling smarter decision-making. How its product works: The platform automates data collection, standardization, and delivery across channels, partners, and platforms via a no-code interface, with governance and customizable workflows that produce decision-ready data for marketing, analytics, and operations teams. Differentiation: It is an early specialist in marketing data integration and transformation, focused on removing data fragmentation rather than just aggregating sources, and offering governance and flexible workflows to support reliable data use. Goal: To help marketing teams work more efficiently, improve media performance, and achieve higher ROI by providing trusted, actionable data.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Charlotte, North Carolina
Founded
2004
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Simplify's Take
What believers are saying
- MSIGHTS launched MIRA AI and refreshed its platform pages in June 2026.
- The company claims 300-plus data-source integrations, supporting sticky enterprise implementations.
- June 2026 leadership pages show long-tenured staff, including 74% with five-plus years.
What critics are saying
- MSIGHTS has never raised funding, leaving growth dependent on customer cash flow.
- A 35-person Charlotte team cannot absorb major renewals losses or product delays.
- Adobe, Salesforce, and specialized martech vendors can displace MSIGHTS with bundled stacks.
What makes MSIGHTS unique
- MSIGHTS has unified marketing-data workflows since 2004, not a generic analytics layer.
- Its June 2026 platform centers on no-code ETL, governance, and decision-ready datasets.
- MIRA AI ties structured marketing data directly to live optimization and alerts.
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Company News
mSights was recently recognised by IDC at its Industry Innovation Awards as winner in the Innovation in Data Intelligence category.