Mid Software Engineer, Data Platform

WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk.

We are seeking a Software Engineer to join our dynamic team. In this role, you will collaborate across disciplines—combining software development, data engineering, and operations—to build innovative, high-quality, and scalable solutions across the technology stack. You will be involved in all stages of the product life cycle, including design, development, testing, deployment, and optimization of data products and systems. Working closely with senior engineers and team leads, you will enhance your technical skills and contribute to delivering solutions that meet business objectives.

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.

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.

• Bachelor's degree in Computer Science, Software Engineering, or related field.
  OR demonstrable equivalent deep understanding, experience, and capability.

• Master or PhD degree in Computer Science (or related field) or good 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

Good to have:

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.