Fleet payments β’ Heathcare payments β’ Travel payments β’ Virtual payments β’ Corporate payment solutions
5001 - 10000 employees
Founded 1983
π Transport
πΈ Finance
π³ Fintech
π° $310M Post-IPO Debt on 2020-06
October 31
Fleet payments β’ Heathcare payments β’ Travel payments β’ Virtual payments β’ Corporate payment solutions
5001 - 10000 employees
Founded 1983
π Transport
πΈ Finance
π³ Fintech
π° $310M Post-IPO Debt on 2020-06
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.
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.
β’ Comprehensive and market competitive benefits offered designed to support personal and professional well-being.
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