Live opening · Posted 10 days ago
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About the role
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Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to production — building intelligent agents, data foundations, and governance frameworks that scale.
Our teams work at the intersection of strategy, engineering, data, and design, helping clients modernize their technology, unlock data value, and create meaningful digital experiences. At Allata, you'll join an agile, cross-functional team that works closely alongside clients — making a real impact and building lasting partnerships.
Allata is looking for a Full Stack Developer to join a client product team and contribute to the development of a modern, cloud-based technology platform.
This role is ideal for a developer who enjoys owning features from concept to production and is comfortable working across frontend and backend layers. You’ll collaborate closely with product, design, and engineering teams in an environment that values clean engineering practices, continuous delivery, and thoughtful use of modern development tools.
The ideal candidate combines strong full stack fundamentals with a product mindset, takes ownership of the quality of their work, and knows how to leverage AI coding assistants effectively while applying sound technical judgment to their output.
Responsibilities
Deliver features end-to-end across the application stack, from Figma designs through frontend and backend implementation to production
Build and maintain frontend functionality using Angular 15, Nx, RxJS, and NgRx
Develop backend services using Java 21 and Spring Boot 3, working with microservices and MongoDB
Integrate services through REST APIs, including Feign-based integrations, as well as event-driven communication using AWS SQS/SNS
Write and maintain automated tests using Jest, JUnit, and Mockito as part of every development cycle
Deliver functionality behind feature flags using tools such as ConfigCat
Participate in code reviews and maintain high engineering standards through Bitbucket pull requests
Keep CI pipelines healthy and address build or test failures promptly
Use AI coding assistants as part of the daily development workflow to accelerate implementation, testing, debugging, and code review
Validate AI-generated code and recommendations, taking ownership of the quality, security, maintainability, and correctness of the final implementation
Hard Skills - Must have:
Strong experience with TypeScript and Angular 14+
Solid understanding of RxJS and NgRx
Strong Java 17+ development experience
Hands-on experience with Spring Boot and microservices
Experience working with document databases, ideally MongoDB
Experience building and consuming REST APIs
Familiarity with event-driven architectures and cloud-based services
Hands-on experience using AI development tools such as Claude Code, GitHub Copilot, Cursor, or similar tools in real-world software development projects
Demonstrated judgment when working with AI-generated code, including knowing when to validate, modify, or override AI recommendations
Nice to have:
Experience working with Nx monorepos
Experience with AWS CDK
Experience with Cypress or Playwright
Experience with Storybook
Experience building LLM-powered product features or integrating generative AI capabilities into applications
Soft Skills:
Strong communication skills and ability to collaborate in cross-functional and client-facing teams
Proactive attitude and strong sense of ownership
Ability to work independently while aligning with team and project goals
Problem-solving mindset with attention to detail
Comfortable working in an agile, fast-paced environment
Fluid English
Product-oriented approach, with the ability to understand how technical decisions affect users and business outcomes
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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