Lead, Transformation L2 Application Support

Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today!

Organizational context:

• Level: Lead individual contributor with no direct reports in the baseline JD structure.
• Functionally aligned to transformation, L2 support, and automation/tooling work across SRE and adjacent operational teams.
• Works closely with L2, L3, ODM, GCC, FR, RTE, SRE, and DBA partners to turn operational pain points into scalable tooling and automation solutions.
   

Primary purpose of the role

• Build AI-enabled internal tools that automate operational reviews, troubleshooting, and repetitive engineering tasks.
• Transform recurring support and deployment activities into self-serve, policy-driven, and observable workflows.
• Improve speed, quality, and consistency of engineering delivery by embedding automation into day-to-day workflows.

Key responsibilities

• Design, build, and maintain AI automations for deployment readiness review, failed deployment analysis, and incident diagnosis.
• Develop internal applications, scripts, and services that eliminate manual L2 and SRE tasks and improve operational efficiency
• Create workflow automations that validate change requirements, check ticket completeness, and enforce operational guardrails before human review.
• Build and improve tooling for release governance, CAB support, deployment coordination, and structured risk assessment.
• Convert repeated support issues, troubleshooting patterns, and review checklists into reusable automations, scripts, and knowledge assets.
• Develop and maintain backend services, APIs, data integrations, and lightweight frontends needed to deliver internal automation products.
• Use SQL and data access patterns to support diagnostics, extraction, transformation, validation, and operational analysis.
• Strengthen delivery pipelines, quality gates, observability, and monitoring so automations are reliable and production-ready.
• Troubleshoot issues across application, backend, deployment, and workflow layers, then drive permanent fixes through tooling and automation.
• Collaborate with engineers, support teams, and operational stakeholders to prioritize high-impact automation opportunities and deliver usable solutions.

Success in this role should be measured by outcomes such as:

• Reduction in repetitive manual effort through AI and workflow automation.
• Number of meaningful AI-enabled improvements adopted by the squad or broader team.
• Improved delivery speed and predictability for intake-approved work.
• Lower deployment revert rates and fewer production defects attributable to owned changes.
• Better engineering quality through stronger tests, cleaner code, and improved observability.

Required skills and experience:

• Strong hands-on software engineering capability across backend, scripting, and internal tooling development.
• Strong Python proficiency for automation, services, and process optimization.
• Strong SQL capability for data analysis, troubleshooting, and query optimization.
• Working knowledge of JavaScript, HTML, CSS, and modern web frameworks for internal UI development when needed.
• Experience building or consuming REST APIs and integrating third-party or cross-platform services.
• Familiarity with cloud environments, containerized workloads, and modern deployment patterns.
• Working knowledge of CI/CD, source control, and release engineering practices.
• Strong troubleshooting, analytical, and cross-functional communication skills suited to operational environments.
• Demonstrated ability to apply AI and automation tools in daily engineering work to improve speed, consistency, and quality.

Preferred profile:

• Experience in L2 application support, SRE-adjacent operations, or production engineering environments where automation can materially reduce toil.
• Experience building internal tools for deployment governance, incident handling, troubleshooting, or operational reporting.
• Experience turning ambiguous operational pain points into practical, low-friction tools adopted by engineers and support teams.

What We Offer

Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package