Mid Software Engineer, Data Platform

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Brazil
Remote
Mid level
Fintech • Payments
The Role
Design, develop and maintain a scalable data platform with a focus on infrastructure management, automation, and data integration. Collaborate with stakeholders and implement best practices for cloud services and microservices architecture.
Summary Generated by Built In
Vision for WEX’s Platform and Data Infrastructure Engineering

Our vision is to build a unified, scalable, and intelligent data infrastructure that unlocks the full potential of WEX’s data. At the core of this vision is an internal developer platform that empowers both technical and non-technical users to seamlessly provision and operate data infrastructure—whether sourced from third-party vendors or open-source services operationalized by WEX teams. This platform ensures that data flows smoothly and consistently across systems, driving innovation and business outcomes.

The platform is designed around a microservices-based architecture, defining a logical model for how data infrastructure is provisioned and consumed. This logical model abstracts complexity, enabling developers and business users alike to onboard quickly and leverage services without deep infrastructure expertise.

Provisioning and orchestration will be powered by Terraform and API-driven integrations, seamlessly connecting to core data services such as the Data Lake, feature engineering pipelines, and GenAI application lifecycle management. In doing so, the platform not only accelerates infrastructure delivery but also creates a foundation for intelligent automation, governance, and scale.

Ultimately, this platform is not just about managing infrastructure—it is about enabling faster experimentation, safer operations, and smarter data-driven applications across WEX.

What You'll Do:

Platform Design & Development:

  • Collaborate with stakeholders to gather requirements and translate them into a comprehensive software system. This includes designing microservices, persistence layers, and implementing deployment workflows using tools like Terraform, Ansible, Puppet, or Salt.

  • Design, develop, and implement highly available, scalable, and secure platform services for our data PaaS using programming languages (e.g., Python, Go, Java).

  • Contribute to the architectural evolution of our data platform, ensuring it meets the growing demands of our users and adheres to best practices.

  • Develop and maintain APIs, automation tools, and internal services to streamline platform operations and enhance developer experience.

  • Implement and improve data pipelines, storage solutions, and processing frameworks within the PaaS.

Infrastructure Management & Automation:

  • Manage and optimize cloud infrastructure in AWS and Azure cloud services to support our data platform, focusing on cost-efficiency, performance, and reliability.

  • Implement Infrastructure as Code (IaC) principles using tools like Terraform for provisioning and managing resources.

  • Develop and maintain CI/CD pipelines to automate deployments, testing, and release processes for platform services.

  • Monitor platform health, performance, and security, and proactively identify and address potential issues.

Data Expertise & Integration:

  • Work closely with data engineers and AI engineering to understand their needs and provide platform capabilities that facilitate efficient data ingestion, processing, storage, and analysis.

  • Ensure the platform supports various data technologies and paradigms (e.g., streaming, batch processing, data warehousing, data lakes).

  • Implement and manage data governance, security, and compliance features within the platform.

What You'll Bring:

  • Bachelor's degree in Computer Science, Software Engineering, or related field.

  • Master's or PhD degree in Computer Science (or related field) or 2+ years of experience in software engineering.

  • Proven experience managing and optimizing cloud infrastructure (AWS, Azure).

  • Demonstrable experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation).

  • Solid experience with containerization technologies (e.g., Docker, Kubernetes).

  • Experience with CI/CD pipelines and DevOps best practices (GitHub Actions preferred)

  • Familiarity with data storage and processing technologies (e.g., Kafka, Spark, Flink, Hadoop, Snowflake, MongoDB, S3/ADLS).

  • Proficiency in one or more programming languages commonly used for platform development (e.g., Python, Go, Java).

  • Strong understanding of networking, security, and performance principles in a cloud environment.

  • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Datadog).

  • Familiarity with database administration and optimization is a plus.

  • Familiarity with application access control and automation

  • Front-end engineering experience is advantageous.

Top Skills

Adls
AWS
Azure
Datadog
Docker
Flink
Github Actions
Go
Grafana
Hadoop
Java
Kafka
Kubernetes
MongoDB
Prometheus
Python
S3
Snowflake
Spark
Terraform
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The Company
HQ: Portland, ME
4,900 Employees

What We Do

We simplify complex payment systems for fleets, corporate payments, and healthcare—unlocking insights, opportunities, and efficiencies to give you greater control of your business.

Powered by the belief that complex payment systems can be made simple, WEX (NYSE: WEX) is a leading financial technology service provider across a wide spectrum of sectors, including fleet, travel and healthcare. WEX operates in more than 10 countries and in more than 20 currencies through approximately 4,900 associates around the world. WEX fleet cards offer approximately 14 million vehicles exceptional payment security and control; our travel and corporate solutions business processes over $35 billion of purchase volume annually; and the WEX Health financial technology platform helps 343,000 employers and more than 28 million consumers better manage healthcare expenses.

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