Python Fullstack Developer

Overview

We are seeking a contract software engineer to design and build a lightweight web-based tracking and reporting system for physical design teams. The platform will be multi-context providing direction on the required execution steps and success criteria, validation that each task was executed, and recommendations for cross-organizational data hand-offs. The infrastructure will ingest underlying report and log data and present status through a web-based dashboard. The system must run self-contained on internal Linux (RHEL8) infrastructure.

Responsibilities

• Design a data model/schema for tracking: checklist items (required execution steps), their success criteria, and per-team/per-project execution status (executed / not executed / passed / failed / stale).
• Build a lightweight local database backend (e.g., SQLite) to persist check definitions, run history, and results.
• Implement file ingestion and parsing for heterogeneous input formats (plain text/log files, JSON, CSV, and similar), extracting relevant status/metric data and mapping it to the defined success criteria.
• Build a rules/evaluation engine that compares parsed data against defined success criteria and produces a pass/fail/incomplete verdict per check.
• Develop an HTML-based front-end dashboard atop the underlying database (static HTML+JS, or lightweight local web server -- no external hosting)
• Provide a mechanism for adding/editing/versioning check definitions without code changes (e.g., a config file or admin UI).
• Write ingestion/automation scripts (Python preferred) that can be scheduled or triggered to pull new data files and update the database.
• Document the system architecture, data schema, and how to onboard a new check or a new team.
• Deploy and validate the full stack on RHEL8 Linux within existing infrastructure constraints (no external cloud dependencies, filesystem/network permissions as applicable).

Deliverables

• Working end-to-end system (ingestion -> database -> dashboard) deployed on RHEL8
• Source code with through documentation and setup/run instructions
• Sample check definitions and at least one populated end-to-end example (real or representative data)

Required Skills

• Strong Python for backend scripting, file parsing, and data processing
• AI and LLM application for the code development
• Experience with a lightweight embedded database (SQLite or equivalent) -- schema design, querying, migrations
• Front-end development fundamentals: HTML, CSS, JavaScript (framework optional -- vanilla JS or a lightweight framework acceptable)
• Experience parsing/normalizing mixed unstructured/semi-structured data (text logs, JSON, CSV)
• Comfortable working on Linux (RHEL/CentOS), command-line tools, cron/scheduled jobs, file permissions-
• Git version control

Preferred / Nice-to-Have Skills

• Prior experience building internal engineering dashboards or QA/CI reporting tools
• Familiarity with EDA/semiconductor physical design flows or exposure to engineering data-checking workflows (helpful for understanding domain context, not required)
• Experience with a lightweight local web server framework (e.g., Flask) for serving the dashboard if a static-file approach isnt sufficient
• Experience with data visualization libraries (e.g., Chart.js, Data Tables) for dashboard tables/charts
• Familiarity with log parsing/regex-heavy extraction tools
• Experience packaging Python tools for deployment on locked-down/offline internal Linux environments

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.