{"id":1947285,"url":"https://alion.io/job/octal-philippines-full-stack-developer","title":"Full Stack Developer","company":{"id":3479,"name":"Octal Philippines","domain":"octalphilippines.com","url":"https://alion.io/company/octalphilippines","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"C","score":63,"open_postings":85,"ghost_share":0.706,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-07T05:47:15Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Makati, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Alteryx","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Devin","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"GPT-4","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SharePoint","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-06T07:41:05Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-07T22:01:01Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"description":"About the Role\nWe are hiring two Full-Stack Developers, Data Applications, who will develop the backend data pipelines and self-service application layer.\nThe 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.\nOur 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.\nRequirements\n 7+ years of Python development - pandas, requests, openpyxl, regex as daily tools; comfortable owning a production codebase end to end\nSolid Snowflake SQL - joins, CTEs, window functions, write operations (INSERT, MERGE, TRUNCATE/INSERT)\n 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\nREST API experience - OAuth2, pagination, rate limiting, JSON/XML parsing\nFull-stack capability - Python backend (Flask or FastAPI) with HTML/JS frontend; able to build and ship a working web application end to end\n 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\nDemonstrated 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\nHands-on experience with agentic coding tools - Claude Code, Cursor, Devin, or similar - directing autonomous AI execution for real deliverables\nAbility to reverse-engineer undocumented legacy workflows and reproduce their output exactly in a new stack - treating existing outputs as the test oracle\nGit proficiency - branching, PRs, versioned releases\nProduction-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\nStrong Plus\nMicrosoft Graph API - SharePoint file writes, list operations, and email dispatch\n 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\nExperience building self-service data tools or internal ops tooling for non-technical users\nFamiliarity with Alteryx Designer (understanding what you're replacing is a meaningful head start)\nWorkflow orchestration - Airflow, Prefect, or AWS Step Functions; 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