Senior Software Development Engineer

October 31

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Logo of WEX

WEX

Fleet payments β€’ Heathcare payments β€’ Travel payments β€’ Virtual payments β€’ Corporate payment solutions

5001 - 10000 employees

Founded 1983

πŸš— Transport

πŸ’Έ Finance

πŸ’³ Fintech

πŸ’° $310M Post-IPO Debt on 2020-06

Description

β€’ Work with Kafka as a Service (KaaS) Engineering team to configure and run Kafka at the Enterprise level. β€’ Create canonical Kafka topics for the entire enterprise. β€’ Define standards for message content, serialization schemas, and canonical topic naming conventions. β€’ Collaborate with divisions to understand their data structure. β€’ Ensure Eventing Platform meets customer data needs. β€’ Estimate data storage and platform growth, assist with monitoring metrics, and ensure performance. β€’ Develop tools and pipelines to increase deployment speed using GitOps principles. β€’ Learn, research, and prototype new tools for teams. β€’ Create Proof of Concepts (PoCs) and share findings. β€’ Enrich events with meaningful information from data sources, using Apache Flink or similar solutions. β€’ Provide architectural blueprints and roll out solutions. β€’ Maintain exemplary standards for modern end-to-end software development.

Requirements

β€’ Solid development experience with at least one major programming language (Java, C#, Python, or Golang). β€’ Proven success in delivering software features through all phases of the SDLC and building, testing, and deploying using DevOps principles. β€’ Good experience of designing and implementing data solutions. β€’ Hands-on data warehousing, data lake, and/or data pipeline experience required. β€’ Hands-on experience with at least one major RDBMS and NoSQL data store. β€’ Knowledge of optimizing and troubleshooting large data stores. β€’ Working knowledge in designing and building data pipelines that meet business SLAs. β€’ Experience in delivering solutions in the cloud, preferably AWS. β€’ Familiarity with major AWS components such as EC2, S3, SQS, etc. β€’ Equivalent experience with GCP or Azure is also acceptable. β€’ Academic degree in Computer Science or equivalent field is nice to have. β€’ Ability to code and deliver containerized solutions with Docker. β€’ Experience with AI/ML. β€’ Experience with Apache Flink or similar tools. β€’ Familiarity with GitHub and GitHub Actions or equivalent. β€’ Familiarity with Terraform or equivalent tool. β€’ Experience delivering projects with strong failover capabilities, with multi-region or multi-cloud support. β€’ Good understanding of security-related concepts and best practices, such as OWASP, SSO, ACLs, TLS, tokenization, etc. β€’ Experience delivering solutions with PCI-DSS and/or HIPAA requirements. β€’ Participation in data and process audits.

Benefits

β€’ Comprehensive and market competitive benefits offered designed to support personal and professional well-being.

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