Sr. Full-Stack Developer

Internetwork Expert; Philippines; On-site; PHP 480,000 - 720,000; Full time

Job summary

Internetwork Expert is seeking two Full-Stack Developers, Data Applications to build backend data pipelines and a self-service application layer. You will work across Python pipelines, Snowflake workflows, REST API integrations and web-based self-service apps that replace numerous Alteryx Gallery tools.

The role emphasizes an AI-assisted development model with Claude as a co-author across the lifecycle, enabling fast delivery on a lean team against hard deadlines.

Qualifications

• 7+ years of Python development and production codebase ownership.
• Solid Snowflake SQL experience with joins, CTEs, and write ops.
• Proven ability to design end-to-end data pipelines and justify processing models.
• REST API development with OAuth2, pagination, and JSON/XML parsing.
• Full-stack capability: Python backend with HTML/JS frontend.
• Hands-on AWS data pipeline orchestration with Lambda, Step Functions or Glue.
• Experience using AI-assisted development tools in production contexts.
• GIT proficiency with branching and PRs.
• Production-scale pipeline ownership serving multiple consumers.

Responsibilities

• Develop backend data pipelines and self-service applications.
• Work across Python pipelines, Snowflake, REST APIs, and web UIs.
• Own production codebase end-to-end from design to deployment.
• Replace 40+ Alteryx Gallery apps used daily by internal teams.
• Leverage AI-assisted development as part of engineering workflow.

Skills

Python development

Snowflake SQL

Data pipeline design

REST API development

Full-stack web development

AWS data services

AI-assisted development

Agentic coding tools

Git proficiency

Production-scale pipelines

Data tools for non-technical users

Tools

Airflow

Prefect

AWS Step Functions

AWS Lambda

S3

Secrets Manager

EventBridge

Job description

About the Role

We are hiring two Full-Stack Developers, Data Applications, who will develop the backend data pipelines and self-service application layer.

The developers will work across the same surface: Python pipelines, Snowflake workflows, REST API integrations, and web-based self-service applications that replace 40+ Alteryx Gallery apps used daily by five internal teams.

Our team operates in an AI-assisted development model. We use Claude (Anthropic) as an active co-author across the full engineering lifecycle, code generation, agentic task execution, architectural review, and documentation. This is not optional tooling. It is how we move fast with a lean team against a hard deadline.

• 7+ years of Python development — pandas, requests, openpyxl, regex as daily tools; comfortable owning a production codebase end to end
• Solid Snowflake SQL — joins, CTEs, window functions, write operations (INSERT, MERGE, TRUNCATE/INSERT)
• Data pipeline architecture — proven ability to design a pipeline from scratch: choose the right processing model (batch vs. event-driven), select appropriate AWS services, and defend those decisions; has produced architecture decisions that were adopted by a team, not just implemented someone else's design
• REST API experience — OAuth2, pagination, rate limiting, JSON/XML parsing
• Full-stack capability — Python backend (Flask or FastAPI) with HTML/JS frontend; able to build and ship a working web application end to end
• AWS data pipeline architecture — hands-on experience selecting and configuring AWS services for a data workload from scratch: Lambda, Step Functions or Glue for orchestration, ECS/Fargate or EC2 for execution, S3 for storage, Secrets Manager for credential management, and EventBridge for scheduling; can justify which service to use and why for a given context
• Demonstrated experience with AI-assisted development — using LLMs (Claude, Copilot, GPT-4, or equivalent) as active co-authors in a production engineering context, not just for autocomplete
• Hands-on experience with agentic coding tools — Claude Code, Cursor, Devin, or similar — directing autonomous AI execution for real deliverables
• Ability to reverse-engineer undocumented legacy workflows and reproduce their output exactly in a new stack — treating existing outputs as the test oracle
• Git proficiency — branching, PRs, versioned releases
• Production-scale pipeline experience — has owned a data pipeline serving multiple internal or external consumers, running on a defined schedule with SLA implications, and has debugged it in production; small or solo projects do not meet this bar
• Strong Plus
• Microsoft Graph API — SharePoint file writes, list operations, and email dispatch
• Snowflake architecture — beyond querying: has designed table structures, configured roles and grants, managed compute sizing, or used cloning and time-travel in a production warehouse
• Experience building self-service data tools or internal ops tooling for non-technical users
• Familiarity with Alteryx Designer (understanding what you're replacing is a meaningful head start)
• Workflow orchestration — Airflow, Prefect, or AWS Step Functions; has built and maintained DAGs with task dependencies, retry logic, and failure alerting in production