We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.
With the right people and the right ideas, there’s no limit to what we can achieve
Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:
Technical Requirements
- Languages & Frameworks
- Scala /Apache Beam
- Python /FastAPI, pytest
- Data & Cloud
- Google Cloud Platform: App Engine, Cloud Functions v2, Cloud Build, Dataflow, Pub/Sub, GCS, Cloud SQL (MySQL)
- BigQuery — schema design, analytical queries, dataset management
- Apache Beam / Google Dataflow — distributed ETL at scale
- Data lakes
- DevOps & Tooling
- CI/CD
- Docker, minikube
- Git submodules, gcloud SDK
Responsibilities
- Maintain and extend ETL pipelines
- Build and operate REST microservices (Akka HTTP / Python)
- Design BigQuery schemas and optimize analytical queries
- Operate and extend AI-powered tooling (PR reviewer, infrastructure monitoring bot)
- Maintain backward compatibility across legacy and modern authentication flows
Nice-to-have:
- ApacheBeans
- Kafka
- Dataflow
What we offer:
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
*Specific benefits are determined by the employment type and location.
Find out more about our culture here.
Skills Required
- Experience with Scala and Apache Beam
- Proficient in Python and building services with FastAPI
- Unit testing with pytest
- Experience with Google Cloud Platform (App Engine, Cloud Functions v2, Cloud Build, Dataflow, Pub/Sub, GCS, Cloud SQL)
- BigQuery schema design, analytical queries, and dataset management
- Experience building and operating distributed ETL (Apache Beam / Google Dataflow)
- Experience with data lakes
- CI/CD knowledge and tooling experience
- Container tooling: Docker and minikube
- Familiarity with Git submodules and gcloud SDK
- Experience building REST microservices (Akka HTTP or Python)
- Maintain backward compatibility across authentication flows
- Nice-to-have: ApacheBeans
- Nice-to-have: Kafka
- Nice-to-have: Dataflow (if not already covered)
Wizeline Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wizeline and has not been reviewed or approved by Wizeline.
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Healthcare Strength — Core coverage spans medical, dental, vision, life and disability insurance, with private medical commonly included in Mexico. Additional support such as EAP and wellness programs is also referenced.
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Leave & Time Off Breadth — Paid vacation, holidays, sick leave, volunteer time, and parental leave are called out, alongside flexible or remote work options. Unlimited PTO is mentioned in some contexts.
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Retirement Support — Savings and retirement elements appear across regions, including a 401(k) in the U.S. and a savings fund and profit sharing in Mexico. These components provide structured long-term financial benefits.
Wizeline Insights
What We Do
Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.
