Full Stack Developer

Octal Philippines Inc.; Makati; On-site; PHP 1,500,000 - 2,100,000; Full time

Job summary

Octal Philippines Inc. is hiring two Full-Stack Developers, Data Applications to build backend data pipelines and a self-service application layer. You will work on Python pipelines, Snowflake workflows, REST API integrations, and web apps replacing 40+ Alteryx Gallery apps used by five internal teams.

The team uses AI-assisted development with Claude as an active co-author across the engineering lifecycle, ensuring fast delivery in a lean setup with tight deadlines.

Qualifications

• 7+ years of Python development, comfortable owning production codebase end-to-end.
• Solid Snowflake SQL with joins, CTEs, window functions and write ops.
• Data pipeline architecture: design pipelines from scratch and justify AWS choices for context.
• REST API experience including OAuth2, pagination, rate limiting, JSON/XML parsing.
• Full-stack capability: Python backend (Flask/FastAPI) with HTML/JS frontend.
• AWS data pipeline architecture: Lambda, Step Functions or Glue, ECS/Fargate or EC2, S3, Secrets Manager, EventBridge.
• Experience with AI-assisted development using Claude, Copilot, GPT-4 or equivalent.
• Experience with agentic coding tools for autonomous AI execution.
• Ability to reverse-engineer undocumented legacy workflows and reproduce outputs.

Responsibilities

• Develop backend data pipelines and self-service web applications end-to-end.
• Design and justify data architectures; select AWS services and implement scalable solutions.
• Collaborate in an AI-assisted development model to accelerate delivery and documentation.

Skills

Python development

Snowflake SQL

Data pipelines

REST APIs

Full-stack Python/HTML/JS

AWS data services

AI-assisted development

Git

Production-scale pipelines

Reverse-engineer legacy workflows

Agentic coding tools

Snowflake architecture

Tools

AWS Lambda

AWS Step Functions

AWS Glue

ECS/Fargate

S3

Secrets Manager

EventBridge

Airflow

Prefect

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