Senior Fullstack Engineer

CSI Interfusion Inc.; Cebu City; On-site; PHP 300,000 - 540,000; Full time

Job summary

CSI Interfusion Inc. is seeking a Junior Software Developer to design automation-driven solutions that improve software quality and release readiness within a globally distributed team.

You will build backend services and CI/CD integrations, applying AI-assisted techniques while focusing on Python, REST APIs, Git, and strong problem-solving.

Bachelor's degree in computer science and a proactive mindset are required.

Qualifications

• Bachelor's degree in computer science.
• 7+ years of Software Engineer experience.
• Proficiency with LLM-powered coding agents.
• Solid Python, REST APIs, Git, and CI/CD knowledge.
• Strong ownership, curiosity, and critical thinking.
• Effective communication across time zones.
• Experience with FastAPI, PowerShell, Azure DevOps pipelines, Playwright, or Selenium.
• Experience applying LLMs to engineering workflows.

Responsibilities

• Build backend services, engineering tools, and CI/CD integrations.
• Expand automated scenario coverage and environment stability.
• Investigate failures across test cases, pipelines, and services.
• Apply AI to test creation, onboarding, log analysis, and failure triage.
• Assess AI-generated solutions against requirements and observed behavior.
• Maintain design, code reviews, testing, and documentation.

Skills

LLM coding agents

Python

REST APIs

Git

CI/CD workflows

Test automation

Cross-team collaboration

Ownership

Communication

AI-assisted development

Kusto/KQL

Education

Bachelor's degree in Computer Science

Tools

Azure DevOps

Playwright

Selenium

Kusto/KQL

PowerShell

Job description

CSI Interfusion is a global IT firm specializing on leading technologies. We are the leading provider of cloud and innovative digital services, and business solutions. At CSI, our vision is to be the leading digital innovator, creating great experiences, and delivering exceptional value to our clients and their customers.

Our Business Unit is currently looking for a solution oriented and proactive Junior Software Developer.

About the role

The Software Engineer role within the project focuses on creating and enhancing automation-driven solutions that improve software quality, release readiness, and engineering effectiveness across project. This position involves designing and maintaining services, tools, and CI/CD integrations that connect testing, diagnostics, and deployment processes into efficient and reusable workflows.

As part of a collaborative and globally distributed team, you will use modern engineering practices and AI-assisted development techniques to solve complex challenges, accelerate delivery cycles, and strengthen platform reliability. Success in this role requires technical expertise, curiosity, accountability, and the ability to analyze problems deeply, identify root causes, and drive resolutions that improve both product quality and team productivity.

Key responsibilities

• Build scalable automation capabilities: Design and deliver backend services, engineering tools, and CI/CD integrations that connect test case onboarding, execution, diagnosis, and release validation into efficient, reusable workflows.

• Strengthen end-to-end quality and execution reliability: Expand automated scenario coverage, improve test and environment stability, and turn execution results into trustworthy signals for release decisions.

• Drive release quality and operational readiness: Investigate failures across test cases, pipelines, platform services, and software experiences. Establish root causes, distinguish automation issues from product regressions, and collaborate across teams to resolve blockers and validate fixes.

• Accelerate engineering workflows with AI: Use LLM-powered coding agents throughout development and apply AI to test creation, onboarding, log analysis, and failure triage.

• Evaluate AI-generated solutions against requirements, tests, and observed system behavior, demonstrating measurable improvements in quality and efficiency.

• Advance engineering excellence and delivery effectiveness: Apply strong design, code review, testing, observability, and security practices; maintain actionable documentation and handovers; and address recurring bottlenecks across the delivery lifecycle.

About you

• Bachelor's degree in computer science

• 7+ years of Software Engineer experience or more

• Proficiency with LLM-powered coding agents: Effectively use agentic development tools to explore codebases, plan and implement changes, generate tests, and investigate failures. Recognize that AI-generated code and explanations may be incorrect or incomplete; independently verify outputs through code inspection, testing, and runtime evidence, remaining accountable for the result.

• Solid engineering fundamentals and cross-system troubleshooting skills: Have a working understanding of Python, REST APIs, Git, and CI/CD workflows. Navigate unfamiliar codebases and investigate issues across automated test cases, execution environments, pipelines, platform services, and product behavior.

• Strong ownership, curiosity, and critical thinking: Take responsibility for outcomes, seek to understand how systems work, and investigate beyond surface-level symptoms. Question assumptions, consider alternative explanations, and use evidence to validate root causes. Follow through on resolution, collaborating and escalating when needed.

• Effective communication and collaboration: Clearly explain findings, evidence, and next steps; deliver scoped work independently; and collaborate across teams and time zones to support agreed delivery and release schedules.

• Familiarity with technologies such as FastAPI, PowerShell, Azure DevOps pipelines, Playwright, or Selenium; TypeScript/React experience for web-based tooling is a plus.

• Experience applying LLMs to engineering workflows beyond code generation, such as test onboarding, execution analysis, or failure diagnosis, with measurable quality and efficiency improvements.

• Experience improving automated test reliability and release readiness, including flaky-test investigation, test environment management, and production diagnosis using tools such as Kusto/KQL.