Senior Python Backend Engineer – Analytics on Azure

Arch Global Services; Taguig; Hybrid; PHP 1,200,000 - 2,400,000; Full time

Job summary

Arch Global Services is seeking a senior Software Engineer to design, develop, and operationalize predictive analytics platforms supporting enterprise-wide insurance analytics initiatives. You will mentor engineers, guide architectural decisions, and ensure production stability of analytics-enabled applications.

The role emphasizes deep Python backend development, API-driven architectures, and Azure cloud services, with collaboration across global teams including data scientists and actuaries.

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

• Serve as a technical lead for analytics-enabled applications, APIs, and backend services supporting predictive models and analytical tools.
• 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 and data-driven applications.
• Lead the development and integration of RESTful APIs, ensuring reliability, scalability, and test coverage.
• Build and support applications leveraging Azure Functions, Azure Container Apps, Blob Storage, and Azure SQL.
• Ensure high-quality code through code reviews, unit testing, and technical documentation.
• Lead and improve CI/CD pipelines using Azure DevOps to enable automated testing, deployment, and monitoring.
• Collaborate with DevOps and platform teams to optimize cloud resource utilization, cost efficiency, and system resilience.
• Support production releases, incident response, root-cause analysis, and continuous improvement initiatives.
• Provide Level 3 application support for analytics platforms, including issue investigation, resolution, and post-incident reviews.
• Proactively identify risks and performance bottlenecks and elevate critical issues when required.
• Partner with business and analytics stakeholders to ensure solutions meet functional and operational requirements.
• Mentor and coach junior and mid-level engineers, fostering technical growth and engineering discipline.
• Work closely with data scientists, actuaries, product owners, and global technology teams to translate analytical requirements into production-ready solutions.
• Act as a technical point of contact for analytics engineering initiatives within the region.

Skills

Python

REST APIs

Azure

SQL & Data Warehouses

Cloud/Serverless

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Functions

Azure Container Apps

Azure SQL

Snowflake

REST API design

Job description

Arch Global Services is seeking a senior Software Engineer to design, develop, and operationalize predictive analytics platforms supporting enterprise-wide insurance analytics initiatives. You will mentor engineers, guide architectural decisions, and ensure production stability of analytics-enabled applications.

The role emphasizes deep Python backend development, API-driven architectures, and Azure cloud services, with collaboration across global teams including data scientists and actuaries.