Railroad19

• Understand our client's fast-moving business requirements. • Negotiate appropriate solutions with multiple stakeholders. • Write and maintain scalable enterprise-quality software. • Build web applications using Spring Boot. • Build Microservices that connect to Oracle and NoSQL databases. • Build software components that integrate with a workflow engine and/or ESB to execute asynchronous business processes. • Manage the complete software development life cycle. • Writing functional and unit tests to maintain code quality. • Work with Jenkins to perform continuous integration. • Collaborate with other teams to deliver a highly performant application that contains few or no defects. • Identify new opportunities, tools, and services to enhance the custom software platform. • Support and troubleshoot issues (process & system), identify root cause, and proactively recommend sustainable corrective actions.

• Design, develop, and maintain backend services using Scala 2.12/2.13 • Build RESTful APIs and microservices using frameworks such as Play Framework or Akka HTTP • Implement data access layers using Slick or other Scala‑friendly persistence tools • Write clean, testable, and efficient code • Collaborate with product, DevOps, and data engineering teams to deliver high‑quality features • Participate in code reviews, architecture discussions, and technical design sessions • Optimize application performance, scalability, and reliability • Troubleshoot production issues and contribute to continuous improvement

• Build and support AWS infrastructure (EMR, ECS, Lambda, IAM) • Create POCs and reference implementations to guide teams on AWS best practices • Own and manage GitLab (runners, permissions, pipelines) and support the transition to GitHub Actions • Coordinate and enable multiple engineering teams to adopt consistent DevOps workflows • Develop Python-based ETL/automation scripts • Build and maintain Airflow DAGs for data workflows • Improve CI/CD pipelines, automation, and platform reliability • Collaborate across engineering, data, product, and security teams in a large enterprise environment

• Understand our client's fast-moving business requirements • Negotiate appropriate solutions with multiple stakeholders • Write and maintain scalable enterprise-quality software • Develop new applications and production application support • Participate in detailed technical design, development, implementation, and support of Big Data applications using existing and emerging technology platforms. • Work with large streams of data with tools like Spark and Kafka. • Manage the complete software development life cycle • Writing functional and unit tests in order to maintain code quality • Develop understanding of client business processes, objectives, and solution requirements. • Participate in project work groups with subject matter experts and stakeholders to understand data specific needs • Collaborate with other teams in order to deliver a highly performance application that contains little or no defects • Identify new opportunities, tools, and services to enhance the custom software platform • Support and troubleshoot issues (process & system), identify root cause, and proactively recommend sustainable corrective actions

• Develop and support custom applications • Contribute to the development and implementation of solutions for clients • Serve as an adviser, helping identify and foster best-in-class solutions • Write and maintain complex software • Deliver high-quality, scalable, and maintainable software • Support and troubleshoot software and process issues

• In addition to contributing code and tangible deliverables, you will be expected to work as an advisor to help identify, educate, and foster best-in-class solutions. • Creating these relationships requires strong communication skills and a passion for solving complex challenges.

• Contributing code and tangible deliverables • Work as an advisor to help identify, educate, and foster best-in-class solutions • Write and maintain scalable enterprise-quality software while building a serverless cloud with Python • Identify new opportunities, tools, and services to enhance the custom software platform