Senior Software Engineer (Python/Pandas)

We're looking for a highly skilled Senior Software Engineer to enhance and scale our core data and content delivery services. This role is crucial for developing robust, high-performance services and data processing pipelines that power our learning platform, directly impacting millions of users.

The successful candidate will possess expert-level proficiency in Python for core backend services and deep, practical experience leveraging the Pandas library for high-throughput data manipulation, cleaning, and transformation within the ETL pipeline. You will be expected to architect efficient data workflows, ensuring security, scalability, and performance are maintained in a cloud-native environment.

Responsibilities:

Technical Design & Execution

• Design, develop, and deploy scalable, maintainable backend microservices primarily using Python.

• Serve as the subject matter expert for Pandas, leading the implementation of high-performance data transformations, complex aggregations, and data validation steps within analytical pipelines.

• Architect and implement resilient, fault-tolerant data ingestion and processing workflows using message queues (e.g., Kafka, RabbitMQ) to handle high-volume event data.

• Define and enforce API contracts (RESTful) and data schemas, ensuring data integrity and security standards are met across all services.

Engineering Excellence & Mentorship

• Collaborate closely with Data Science and Data Engineering teams to move prototypes and analytical models into production-grade services.

• Champion engineering excellence, including rigorous code reviews, thorough documentation, and strict adherence to Python standards (PEP 8).

• Design and implement comprehensive automated testing strategies for data-centric code, focusing on testing data transformation logic and edge cases.

• Own the entire software lifecycle, from initial design and requirements gathering to deployment, monitoring (Datadog/Prometheus), and operational support.
   

Required Experience & Skills

• Minimum of 5+ years of professional experience in software development, with a focus on high-scale backend services and data processing.

• Expert proficiency in Python, including modern performance profiling, and dependency management.

• Mandatory deep, hands-on experience with the Pandas library for data manipulation and analysis within a production environment.

• Strong experience designing and implementing scalable RESTful APIs.

• Proficiency with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB) and optimizing complex data access patterns for analysis.

• Proven experience in a cloud environment (AWS or Azure) and familiarity with containerization (Docker, Kubernetes).

Preferred Skills

• Experience working in the EdTech or e-learning domain, particularly with user behavior or skill assessment data.

• Familiarity with distributed processing frameworks (e.g., PySpark, Dask).

• Experience with Infrastructure as Code (e.g., Terraform).

Perks you enjoy at KMS Mexico

• Mexican law benefits
• 15 days of PTO (in year zero, from the first year onwards it is 3 days per year).
• 5 days' leave for the death of immediate family members, negotiable.
• Major Medical Expenses Insurance with coverage for immediate dependents (spouse and children).
• Annual performance bonus (≈10% of annualized salary).
• Annual salary adjustment.
• Employee Referral Bonus.
• Paid Certifications / Courses
• Coursera License.
• 5% Savings Fund.
• 5% Grocery Vouchers.