Senior Full Stack Developer, Typescript, Python

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Applaudo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Applaudo is a nearshore software development company that helps businesses accelerate their digital transformation. With over a decade of experience, Applaudo partners with some of the world’s most admired brands to streamline IT solutions, optimize delivery costs, and modernize their digital infrastructure. The company offers a range of services including innovation and experience design, development and maintenance, quality assurance, cloud solutions, artificial intelligence, and cybersecurity. Applaudo is known for its expertise in data solutions and app modernization, and has a strong presence in industries like sports, media and entertainment, retail, consumer packaged goods, and financial services. Headquartered in Austin, TX with offices in San Salvador, Applaudo blends top-tier software development talent with cutting-edge technology to drive business growth for its clients.

📋 Description

• Author features across the commercial intelligence platform using React/TypeScript, dense admin and configuration screens, and high-volume tabular interfaces with ag-Grid • Contribute to APIs in Python/FastAPI and Node.js • Write and optimize SQL against PostgreSQL • Design granular functions and code structures inside assigned stories • Comply with the existing application architecture and raise clearly where it needs to evolve • Absorb adjacent work involving data pipeline and query changes, chart and map surfaces, and AI-enabled feature integration • Implement secure functionality within a multi-tenant SaaS environment • Participate in Scrum ceremonies, code reviews, and technical discussions with senior stakeholders • Take ownership of authored code against documented acceptance criteria

🎯 Requirements

• 5+ years of experience as a Full Stack Developer with a demonstrated record of independently shipping production features • Strong hands-on production experience with React and TypeScript, including MUI, styled-components, or an equivalent design-system component library • Proven experience building data-heavy enterprise UIs, including admin and configuration screens, multi-level filtering, and large interactive tables using ag-Grid or equivalent • Significant experience with either Python/FastAPI or Node.js, with working proficiency in the other • Solid SQL and hands-on PostgreSQL experience, including query optimization and relational data modeling • Experience implementing OAuth 2.0/Okta, JWT, and role-based access control in an API context • Demonstrated multi-tenant SaaS security practice, including tenant isolation and data access controls • Effective daily use of AI coding assistants such as Claude Code and Codex, with sound judgment validating generated output • Ability to integrate LLM-backed features into a web application • Comfortable reading and working inside an existing application architecture without redesigning it • Strong autonomy and ability to make and justify feature-level decisions without close oversight • Confidence defending technical choices verbally in English to senior stakeholders • Comfortable with async, written-first communication across a distributed team • Nice-to-have experience with Snowflake or warehouse data modeling/pipelines • Nice-to-have experience with Mapbox GL or equivalent web geospatial visualization • Nice-to-have experience with amCharts or D3 for production data visualization • Nice-to-have experience with Nx or comparable monorepo tooling • Nice-to-have experience with Azure Web PubSub, Redis Cache, or Blob Storage • Nice-to-have prior exposure to architecture-level decision forums

🏖️ Benefits

• Remote work option • Possibility of extension after the 6-month temporary opportunity • Work alongside distributed teams across Europe, India, and the Americas • Opportunities to learn fast, take ownership, and work with strong teams • Collaboration across design, development, cloud, data, and artificial intelligence • Modern ways of working and AI-native transformation at scale