Senior Software Engineer (PythonPandas)

Guadalajara - Mexico

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Were 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.

Qualifications :

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).

Additional Information :

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.

Remote Work :

Employment Type :

Full-time

Were 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 su...

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.

Qualifications :

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).

Additional Information :

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.

Remote Work :

Employment Type :

Full-time

Key Skills

Spring
.NET
C/C++
Go
React
OOP
C#
AWS
Data Structures
Software Development
Java
Distributed Systems

Apply Now

About Company

KMS Technology

KMS Technology was established in 2009 as a U.S.-based software services company. With development centers in Vietnam and Mexico, we have been trusted globally for the superlative quality of our software consulting & development services, technology solutions, and engineers' expertise ... View more

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click