Apply a comprehensive understanding of procedures, methodology, and application standards including Payment Card Industry (PCI) security compliance, cloud security best practices, and data governance frameworks.
Conduct and provide billable hours and resource estimates on initiatives, projects, and issues.
Mentor, train, and provide technical guidance to junior and mid-level software engineers.
Lead code reviews, establish coding standards, and drive engineering best practices across teams.
What Are We Looking for in This Role?
MINIMUM REQUIREMENTS
Bachelor's degree in Computer Science, Information Technology, Business/Management Information Systems, or a related field.
Must have 8+ years of progressive work experience in the job offered or a related position.
Must have experience with the following
Coding, designing, developing, architecting, and analyzing data-intensive applications;
Use of at least one front-end/back-end languages/technologies such as Java (JDK 17 through JDK 25), Python, JavaScript, Mainframe COBOL, or Mainframe Assembler;
Experience with at least two modern programming languages/frameworks such as Python, React.js, Spring Boot framework, R, or Matlab;
Spring Boot microservices development including RESTful service design, dependency injection, Spring Security, and Spring Data;
Various APIs and external services including RESTful APIs and Postman;
Experience with both relational and NoSQL databases including design, familiarity with DDL and DML for at least one of the following: Oracle, MySQL, MS SQL Server, IMS, DB2;
AWS Cloud infrastructure development experience including AWS Lambda, EC2, S3, ECS/EKS, CloudFormation, IAM, API Gateway, and CloudWatch;
Apache Airflow for workflow orchestration, DAG development, scheduling, and data pipeline automation;
Mainframe knowledge including COBOL, JCL, CICS, and VSAM;
Experience with GitHub Copilot for AI-assisted code development including prompt engineering, code generation, code completion, test generation, and leveraging Copilot Chat for debugging and documentation;
Familiarity with Large Language Models (LLMs) including GPT, Claude, Gemini, LLaMA, and related AI technologies; understanding of how to integrate and utilize LLMs for software development productivity, code review automation, and intelligent application features;
Experience with CI/CD pipelines, version control (Git), and DevOps practices.
Familiarity with containerization technologies such as Docker and Kubernetes.
ALTERNATIVE MINIMUM REQUIREMENTS
In lieu of a bachelor's degree, will accept 3 years of post-secondary study in any field and one additional year of experience (totaling 9 years of work experience in the job offered or a related position).
Must have experience with the following
Coding, designing, developing, architecting, and analyzing data-intensive applications;
Use of at least one front-end/back-end languages/technologies such as Java (JDK 17 through JDK 25), Python, JavaScript, Mainframe COBOL, or Mainframe Assembler;
Experience with at least two modern programming languages/frameworks such as Python, React.js, Spring Boot framework;
Spring Boot microservices development including RESTful service design, dependency injection, Spring Security, and Spring Data;
Various APIs and external services including RESTful APIs and Postman;
Experience with both relational and NoSQL databases including design, familiarity with DDL and DML for at least one of the following: Oracle, MySQL, MS SQL Server, IMS, DB2;
AWS Cloud infrastructure development experience including AWS Lambda, EC2, S3, ECS/EKS, CloudFormation, IAM, API Gateway, and CloudWatch;
Apache Airflow for workflow orchestration, DAG development, scheduling, and data pipeline automation;
Mainframe knowledge including COBOL, JCL, CICS, and VSAM.
Experienced in Kafka and Streaming Architecture.
Knowledge in AWS Sagemaker and Bedrock services.
Experience with GitHub Copilot for AI-assisted code development including prompt engineering, code generation, code completion, test generation, and leveraging Copilot Chat for debugging and documentation;
Familiarity with Large Language Models (LLMs) including GPT, Claude, Gemini, LLaMA, and related AI technologies; understanding of how to integrate and utilize LLMs for software development productivity, code review automation, and intelligent application features;
Experience with CI/CD pipelines, version control (Git), and DevOps practices
Familiarity with containerization technologies such as Docker and Kubernetes.
What we offer you
A career at FIS is more than just a job. It’s the change to shape the future of fintech. At FIS, we offer you:
A voice in the future of fintech
Always-on learning and development
Collaborative work environment
Opportunities to give back
Competitive salary and benefits
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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