Software Engineer Lead - Philippines - Arch Global Services Philippines

    Arch Global Services Philippines
    Arch Global Services Philippines Philippines

    4 oras ang nakalipas

    Insurance
    Paglalarawan

    Schedule: Mid Shift

    The Software Engineer – Lead will play a critical role in the design, development, and operationalization of predictive analytics platforms and analytical applications supporting enterprise-wide insurance analytics initiatives.

    This role sits within the Strategic Analytics function and is responsible not only for hands-on engineering delivery, but also for technical leadership, solution design, code quality governance, and cross-functional collaboration with data scientists, actuaries, product owners, and business stakeholders across global teams.

    The position requires deep expertise in Python-based backend development, API-driven architectures, and Azure cloud services, with the ability to guide technical decisions in a fast-evolving analytics and cloud environment. The Lead Software Engineer is expected to mentor engineers, influence architectural direction, and ensure production stability of analytics-enabled applications.

    Job Responsibilities:

    Technical Leadership & Architecture

    • 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.

    Software Development & Engineering

    • 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.

    DevOps, Cloud & Automation

    • 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.

    Application Support & Operations

    • Provide Level 3 application support for analytics platforms, including issue investigation, resolution, and post-incident reviews.
    • Proactively identify risks and performance bottlenecks and escalate critical issues when required.
    • Partner with business and analytics stakeholders to ensure solutions meet functional and operational requirements.

    Collaboration & People Development

    • 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.

    Required Skills:

    • Strong, hands-on expertise in Python development for enterprise-grade applications
    • Application Development and Support Experience
    • Cloud/Container/Serverless Technologies
    • Azure Functions, Container Apps, Storage, SQL
    • CI/CD (Azure DevOps or equivalent)
    • Unit Testing & Code Quality Practices
    • 8–12 years of professional experience in software engineering, backend development, or analytics platforms
    • 3+ years experience acting as a technical lead or senior engineer guiding design and delivery decisions
    • 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
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Software engineering lead