Principal Backend and Data Engineer
About the Company
Our client is an international, fast-growing direct-to-consumer company undergoing a major Digital & AI transformation. They are building a brand-new Digital & AI division focused on creating next-generation customer experiences across web and mobile platforms.
The engineering organization operates as a small, high-impact, agentic-native team, where AI-powered workflows are embedded into every stage of software development.
Role Overview
We are looking for a Principal Software Engineer – Backend & Data to become one of the key technical contributors within the Digital & AI organization.
This person will own the backend and data layer of a new customer-facing application, designing and building scalable backend services, APIs, data pipelines and cloud-native infrastructure that will support future AI and Machine Learning capabilities.
This is a highly hands-on engineering role where the majority of the time will be spent designing, building and delivering production software.
Key Responsibilities
Backend Engineering
· Design, build and maintain scalable backend services and APIs.
· Develop business logic, service orchestration and integrations.
· Own services from design through deployment and production support.
· Ensure high standards of performance, scalability, reliability and security.
Data Engineering
· Design and build data pipelines, event streams and analytical data platforms.
· Develop cloud-native data infrastructure using AWS and/or GCP.
· Build streaming solutions using technologies such as Kafka or Kinesis.
· Create the data foundations required for AI and Machine Learning initiatives.
Agentic AI Engineering
· Use agentic AI workflows as part of the daily software development lifecycle.
· Contribute to improving AI-assisted engineering processes.
· Help define quality standards and guardrails for AI-generated development.
· Promote efficient and secure AI-enabled engineering practices.
Cross-Functional Collaboration
· Work closely with architects, frontend engineers, product managers, designers and data scientists.
· Participate in code reviews and technical mentoring.
· Collaborate across distributed international teams.
· Contribute to the overall technical quality of the engineering organization.
Required Experience
· 8+ years of software engineering experience.
· Strong experience building backend services for consumer-facing applications.
· Solid knowledge of REST APIs, GraphQL and event-driven architectures.
· Experience with Data Engineering, including pipelines, streaming and data warehouses.
· Hands-on experience with AWS and/or GCP.
· Experience with Kafka, Kinesis or similar streaming technologies.
· Knowledge of containers, Infrastructure as Code and CI/CD.
· Experience building scalable cloud-native systems.
· Fluent English is required.
· Spanish is considered a plus.
Preferred Background
· E-commerce
· Marketplace platforms
· Consumer-facing digital products
· AI / Machine Learning platforms
· Cloud-native architectures
· Large-scale distributed systems
Soft Skills
· Strong problem-solving skills.
· Hands-on technical mindset.
· High ownership and accountability.
· Excellent collaboration and communication skills.
· Ability to work effectively in distributed international teams.
· Comfort operating in fast-changing, ambiguous environments.
· Passion for engineering excellence and continuous improvement.
What Makes This Opportunity Different
· Opportunity to build the backend and data platform of a greenfield digital product.
· Direct impact on future AI and Machine Learning capabilities.
· Small, highly skilled engineering team with significant autonomy.
· Daily use of AI-native engineering workflows.
· Modern cloud-native technology stack.
· High ownership, technical freedom and end-to-end responsibility.
- Departamento
- Data
- Estado remoto
- Híbrido
- Número de vacantes
- 1
- Experiencia mínima
- 9
- Skills (separadas por coma)
- Backend Development, Data Engineering, APIs, REST, GraphQL, Event-Driven Architecture, Kafka, Kinesis, AWS, GCP, Data Pipelines, Data Warehouses, Cloud Architecture, CI/CD, Infrastructure as Code, Containers, Observability, AI, Machine Learning, Agentic AI
Acerca de TalentHackers
TalentHackers es la compañía del grupo Catenon especializada en reclutamiento de perfiles tecnológicos y digitales. Nace en el año 2019 con el propósito de transformar la industria a través de la inteligencia del dato y recompensar justamente a quien aporta valor gracias a la tecnología nodal y a su sistema de referencias pagadas.