Senior Python Backend Engineer - Analytics Platform (Azure)

ECLARO

Philippines

On-site

PHP 1,200,000 - 2,000,000

Full time

14 days+

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Job summary

ECLARO in Philippines is seeking a Software Engineer to design, develop, and operationalize predictive analytics platforms and analytical applications across enterprise insurance analytics initiatives.

This role emphasizes technical leadership, solution design, code quality governance, and collaboration with data scientists, actuaries, product owners, and business stakeholders across global teams on Azure cloud services.

Qualifications

8-12 years of professional experience in software engineering, backend development, or analytics platforms.
Strong, hands-on expertise in Python development for enterprise-grade applications.
Proven experience building and consuming RESTful APIs.
Experience with cloud-native and serverless architectures, preferably in Microsoft Azure.
Solid experience with SQL and data warehouse platforms (Azure SQL, Snowflake, or equivalent).
Demonstrated experience supporting production systems and user-facing applications.
Strong analytical, problem-solving, and debugging skills.
Excellent communication skills, with the ability to collaborate across technical and non-technical teams.

Responsibilities

Lead analytics-enabled applications and backend services.
Contribute to solution architecture, design standards, and best practices for scalable, cloud-native analytics platforms.
Evaluate, recommend, and implement new technologies and frameworks aligned with Azure and analytics modernization initiatives.
Ensure adherence to secure coding standards, performance benchmarks, and enterprise engineering guidelines.
Design, develop, and maintain Python-based backend services supporting analytical models.
Lead the development and integration of RESTful APIs, ensuring reliability and scalability.
Build and support applications leveraging Azure Functions, Container Apps, Storage, and SQL.
Ensure high-quality code through reviews, testing, and documentation.
Lead and improve CI/CD pipelines using Azure DevOps.
Collaborate with DevOps and platform teams to optimize cloud resources and costs.
Support production releases, incidents, RCA, and continuous improvement.
Provide Level 3 application support for analytics platforms and partner with stakeholders.
Mentor and coach junior engineers and translate requirements to production-ready solutions.
Act as technical point of contact for analytics engineering initiatives in the region.