Senior Fullstack Engineer

pPlease note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). /p h3bSenior Full-Stack Engineer /b /h3 pLocation: bRemote from Colombia /b /p p.
Monks Technology Services, part of Media.
Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. We combine long-term strategic thinking, deep enterprise experience, and a human-centered approach to help clients transform business processes and dominate their industries. /p h3bAbout the Role /b /h3 pAs a Senior Full-Stack Engineer, you'll build an in-house platform that helps battery engineers ingest, explore, and act on test data. The platform transforms raw equipment output into a consistent data model, supports qualification decisions through interactive charts and dashboards, and provides an AI assistant grounded in the same data. You'll own features end to end from the first stakeholder conversation through data models, APIs, and user interfaces, with substantial autonomy. As the platform replaces tools engineers rely on daily, you'll help earn their trust through accuracy, traceability, and a thoughtful rollout. /p h3bResponsibilities /b /h3 ul lipDesign and build Python backend services, REST APIs, data access layers, and background jobs for ingestion and long-running computations. /p /li lipDevelop robust parsers that transform vendor files, CSVs, and binary exports into validated records, handling inconsistent headers, changing units, and malformed inputs with clear rejection reasons. /p /li lipImplement traceable data transformations for capacity, efficiency, resistance, and cycle aggregates, ensuring consistent results across pipelines and on-demand calculations. /p /li lipBuild React and TypeScript interfaces with interactive charts for large time-series datasets, including millions of points, cross-cell and cross-test overlays, and detail-preserving zoom. /p /li lipIntegrate an AI assistant using LLM APIs, tool calling, and retrieval over platform data and documentation, with citations and evaluations that identify incorrect answers. /p /li lipWork directly with test engineers, lab supervisors, and upstream data owners to clarify needs, scope deliverables, and explain technical trade-offs. /p /li lipOwn technical decisions across the data model, API, and user experience, delivering features from discovery through production with minimal oversight. /p /li lipImplement production observability using structured logging and request correlation, and support reliable delivery through Docker and GitLab CI. /p /li lipMaintain rigorous tests, strict typing, small reviewable changes, and accurate documentation while avoiding premature abstraction. /p /li lipSupport an incremental transition from existing tools without disrupting engineers’ daily workflows. /p /li lipOther duties as assigned /p /li /ul h3bAbout You /b /h3 h3bQualifications Skills /b /h3 ul lip6+ years of experience building production software, with substantial experience across both backend and frontend development. /p /li lipStrong Python backend skills, including REST API design, asynchronous services, background processing, authentication, authorization, and performance tuning under real load. /p /li lipExperience with relational data modeling, fluent SQL, and schema migrations in live systems. /p /li lipHands-on Python data processing experience with pandas, Polars, or NumPy. /p /li lipStrong modern TypeScript and React skills. /p /li lipExperience shipping interactive data visualizations to real users, ideally with large or time-series datasets. /p /li lipExperience building parsers and transformation pipelines for messy real-world data, including vendor formats, schema drift, partial files, and unit handling. /p /li lipAt least one LLM integration shipped in a product, including prompt design, tool or function calling, retrieval, and a method for evaluating output quality. /p /li lipA track record of leading requirements conversations with non-engineers and translating them into scoped deliverables, supported by concrete examples. /p /li lipDemonstrated autonomy through projects you have scoped, built, and shipped with minimal oversight. /p /li lipStrong communication skills and English proficiency at B2 level or above. /p /li /ul h3bPreferred Qualifications /b /h3 ul lipExperience with FastAPI, Pydantic v2, SQLAlchemy 2.x, and asynchronous Python at scale. /p /li lipFamiliarity with a Python 3.12 toolchain using pytest /p /li /ul #J-18808-Ljbffr