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Fis
Actively Hiring38 open positions matching criteria
Job Description At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS? About the Role You will lead the design and implementation of advanced agentic engineering capabilities that scale the enterprise software development lifecycle. You will establish architectures, coding harnesses and reusable libraries that enable coding agents to work effectively across complex development environments. You will guide technical decisions, coordinate cross-functional delivery and help teams adopt reliable AI-assisted engineering practices. Success means creating durable platform capabilities, resolving undefined technical challenges and accelerating responsible software delivery. What You Will Be Doing Lead architecture and delivery of enterprise agentic workflows across the software development lifecycle. Establish technical patterns for coding agents, harnesses, reusable libraries and automated engineering workflows. Design secure Model Context Protocol servers and integration frameworks for enterprise tools and data. Define standards for evaluating, testing, monitoring and governing AI-generated software. Guide teams building scalable solutions with Python, TypeScript and cloud-native technologies. Resolve complex architecture, integration, debugging, performance and reliability challenges. Shape technical roadmaps that align platform investments with engineering and business priorities. Lead code and design reviews to improve quality, maintainability, security and operational readiness. Partner with implementation and client-facing teams to diagnose needs and deliver effective solutions. Mentor engineers and communicate technical practices across teams and organizational boundaries. What you will need Expert software engineering skills across application architecture, integration, testing and production operations. Advanced proficiency with Python, TypeScript or comparable languages used for platform development. Experience leading complex software initiatives involving multiple systems, teams and stakeholder groups. Demonstrated success building developer platforms, coding frameworks, automation systems or reusable libraries. Deep knowledge of cloud architecture, distributed systems, APIs, security and software reliability. Ability to define technical standards and influence decisions without relying on direct authority. Degree in computer science, engineering or a related field, or equivalent practical experience. Added bonus if you have Advanced experience with agentic programming, coding agents or large language model application architecture. Experience developing Model Context Protocol servers, tools, registries or governance patterns. Knowledge of Claude Code, GitHub Copilot, OpenCode or comparable AI engineering tools. Experience establishing evaluation, observability and safety controls for enterprise AI workflows. Client-facing engineering experience spanning implementation, technical discovery and complex troubleshooting. Experience contributing to long-term technology strategy or enterprise engineering standards. What We Offer you At FIS, you can grow your career as far as you want to take it. Here’s what else we offer: Opportunities to make an impact in fintech Personal and professional learning Inclusive, diverse work environment Resources to give back to your community 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. #pridepass
View more...Job Description At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS? About the Role You will lead the design and implementation of advanced agentic engineering capabilities that scale the enterprise software development lifecycle. You will establish architectures, coding harnesses and reusable libraries that enable coding agents to work effectively across complex development environments. You will guide technical decisions, coordinate cross-functional delivery and help teams adopt reliable AI-assisted engineering practices. Success means creating durable platform capabilities, resolving undefined technical challenges and accelerating responsible software delivery. What You Will Be Doing Lead architecture and delivery of enterprise agentic workflows across the software development lifecycle. Establish technical patterns for coding agents, harnesses, reusable libraries and automated engineering workflows. Design secure Model Context Protocol servers and integration frameworks for enterprise tools and data. Define standards for evaluating, testing, monitoring and governing AI-generated software. Guide teams building scalable solutions with Python, TypeScript and cloud-native technologies. Resolve complex architecture, integration, debugging, performance and reliability challenges. Shape technical roadmaps that align platform investments with engineering and business priorities. Lead code and design reviews to improve quality, maintainability, security and operational readiness. Partner with implementation and client-facing teams to diagnose needs and deliver effective solutions. Mentor engineers and communicate technical practices across teams and organizational boundaries. What you will need Expert software engineering skills across application architecture, integration, testing and production operations. Advanced proficiency with Python, TypeScript or comparable languages used for platform development. Experience leading complex software initiatives involving multiple systems, teams and stakeholder groups. Demonstrated success building developer platforms, coding frameworks, automation systems or reusable libraries. Deep knowledge of cloud architecture, distributed systems, APIs, security and software reliability. Ability to define technical standards and influence decisions without relying on direct authority. Degree in computer science, engineering or a related field, or equivalent practical experience. Added bonus if you have Advanced experience with agentic programming, coding agents or large language model application architecture. Experience developing Model Context Protocol servers, tools, registries or governance patterns. Knowledge of Claude Code, GitHub Copilot, OpenCode or comparable AI engineering tools. Experience establishing evaluation, observability and safety controls for enterprise AI workflows. Client-facing engineering experience spanning implementation, technical discovery and complex troubleshooting. Experience contributing to long-term technology strategy or enterprise engineering standards. What We Offer you At FIS, you can grow your career as far as you want to take it. Here’s what else we offer: Opportunities to make an impact in fintech Personal and professional learning Inclusive, diverse work environment Resources to give back to your community 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. #pridepass
View more...Job Description At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS? About the Role You will lead the design and implementation of advanced agentic engineering capabilities that scale the enterprise software development lifecycle. You will establish architectures, coding harnesses and reusable libraries that enable coding agents to work effectively across complex development environments. You will guide technical decisions, coordinate cross-functional delivery and help teams adopt reliable AI-assisted engineering practices. Success means creating durable platform capabilities, resolving undefined technical challenges and accelerating responsible software delivery. What You Will Be Doing Lead architecture and delivery of enterprise agentic workflows across the software development lifecycle. Establish technical patterns for coding agents, harnesses, reusable libraries and automated engineering workflows. Design secure Model Context Protocol servers and integration frameworks for enterprise tools and data. Define standards for evaluating, testing, monitoring and governing AI-generated software. Guide teams building scalable solutions with Python, TypeScript and cloud-native technologies. Resolve complex architecture, integration, debugging, performance and reliability challenges. Shape technical roadmaps that align platform investments with engineering and business priorities. Lead code and design reviews to improve quality, maintainability, security and operational readiness. Partner with implementation and client-facing teams to diagnose needs and deliver effective solutions. Mentor engineers and communicate technical practices across teams and organizational boundaries. What you will need Expert software engineering skills across application architecture, integration, testing and production operations. Advanced proficiency with Python, TypeScript or comparable languages used for platform development. Experience leading complex software initiatives involving multiple systems, teams and stakeholder groups. Demonstrated success building developer platforms, coding frameworks, automation systems or reusable libraries. Deep knowledge of cloud architecture, distributed systems, APIs, security and software reliability. Ability to define technical standards and influence decisions without relying on direct authority. Degree in computer science, engineering or a related field, or equivalent practical experience. Added bonus if you have Advanced experience with agentic programming, coding agents or large language model application architecture. Experience developing Model Context Protocol servers, tools, registries or governance patterns. Knowledge of Claude Code, GitHub Copilot, OpenCode or comparable AI engineering tools. Experience establishing evaluation, observability and safety controls for enterprise AI workflows. Client-facing engineering experience spanning implementation, technical discovery and complex troubleshooting. Experience contributing to long-term technology strategy or enterprise engineering standards. What We Offer you At FIS, you can grow your career as far as you want to take it. Here’s what else we offer: Opportunities to make an impact in fintech Personal and professional learning Inclusive, diverse work environment Resources to give back to your community 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. #pridepass
View more...Job Description At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS? About the Role You will lead the design and implementation of advanced agentic engineering capabilities that scale the enterprise software development lifecycle. You will establish architectures, coding harnesses and reusable libraries that enable coding agents to work effectively across complex development environments. You will guide technical decisions, coordinate cross-functional delivery and help teams adopt reliable AI-assisted engineering practices. Success means creating durable platform capabilities, resolving undefined technical challenges and accelerating responsible software delivery. What You Will Be Doing Lead architecture and delivery of enterprise agentic workflows across the software development lifecycle. Establish technical patterns for coding agents, harnesses, reusable libraries and automated engineering workflows. Design secure Model Context Protocol servers and integration frameworks for enterprise tools and data. Define standards for evaluating, testing, monitoring and governing AI-generated software. Guide teams building scalable solutions with Python, TypeScript and cloud-native technologies. Resolve complex architecture, integration, debugging, performance and reliability challenges. Shape technical roadmaps that align platform investments with engineering and business priorities. Lead code and design reviews to improve quality, maintainability, security and operational readiness. Partner with implementation and client-facing teams to diagnose needs and deliver effective solutions. Mentor engineers and communicate technical practices across teams and organizational boundaries. What you will need Expert software engineering skills across application architecture, integration, testing and production operations. Advanced proficiency with Python, TypeScript or comparable languages used for platform development. Experience leading complex software initiatives involving multiple systems, teams and stakeholder groups. Demonstrated success building developer platforms, coding frameworks, automation systems or reusable libraries. Deep knowledge of cloud architecture, distributed systems, APIs, security and software reliability. Ability to define technical standards and influence decisions without relying on direct authority. Degree in computer science, engineering or a related field, or equivalent practical experience. Added bonus if you have Advanced experience with agentic programming, coding agents or large language model application architecture. Experience developing Model Context Protocol servers, tools, registries or governance patterns. Knowledge of Claude Code, GitHub Copilot, OpenCode or comparable AI engineering tools. Experience establishing evaluation, observability and safety controls for enterprise AI workflows. Client-facing engineering experience spanning implementation, technical discovery and complex troubleshooting. Experience contributing to long-term technology strategy or enterprise engineering standards. What We Offer you At FIS, you can grow your career as far as you want to take it. Here’s what else we offer: Opportunities to make an impact in fintech Personal and professional learning Inclusive, diverse work environment Resources to give back to your community 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. #pridepass
View more...Job Description We are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS? What’s it like to work on our team? Our Platform and Product Engineering team is composed of technical Swiss army knives whose combined ability to craft new capabilities in a rapid, prototype-oriented environment sharpens the overall quality standards of FIS-TSYS Issuing. Every member of our hard-working collective is truly spearheading the evolution of fintech, meaning that every day you’ll be in lockstep with the history-makers and future-builders of this industry. From awe-inspiring UX to vast data sets, as you lend your valuable hand and potent brain power to the many facets of this group effort, you’ll play a significant role in bolstering our culture of growth and innovation for generations to come. As part of the team you will be contributing towards Modernization efforts to architect and design platforms for the cloud Surely, you’re wondering what happens on day one of being a team member. It’s pretty simple. You walk into the building and are immediately met with a view of the impressive interior of the FIS facility. It’s truly a sight. Before long, you are given a shiny new Macbook which you can consider the canvas for your art, the vessel for your innovation, and the key to unlocking your technological imagination. If that doesn’t excite you enough, then meeting your new mentor should do the trick. For the first 90 days, your mentor will back you up as you find your footing in your new role. On that particular day, they’ll introduce you to other team members, help you get a lay of the land, and catch you up on current projects. Then it’s time for the “Pilot Push” which is your chance to shine very early as you create and commit a code push to Git. This is to give you an idea of how dedicated we are to constant forward motion in the fintech industry. If engineering is your passion, FIS provides you with an endless supply of thrills. Everyday you’ll do these kinds of things… ● Collaborate with engineers across the Platform and Product Engineering team to create technical designs, develop, test, and solve complex problems that drive the solution from initial concept to production. ● Contribute to our automated build, deploy, and test processes for each solution. ● Brainstorm ideas and techniques to further improve the experience for our engineers. ● Work with a wide range of systems, processes, and technologies to own and solve problems from end-to-end. ● Transcend the traditional boundaries of Frontend and Backend, designing and delivering performant, maintainable, and scalable features. ● Think in terms of components and systems while considering a holistic user experience. ● Work in an engineering-focused team composed of people with a wide range of skills. ● Demo and showcase your work for colleagues and members of the team. ● Conduct research on new and interesting technologies that help to progress our products and platforms. Work Experience (one or more of the following) ● Working experience in migrating legacy applications to Java, spring boot microservices, micro front UI and to cloud environments ● Experience in building streaming products based on technologies like Kafka and Flink. ● Experience building high performance and high throughput computing platforms using Apache Spark. ● Exposure to architectural patterns of large, high-scale applications (e.g., well-designed APIs, mobile apps, data integrations, and/or large mobile web applications). ● Experience with modern web frameworks ● Hands-on experience in implementing scalable software platforms and DevOps driven automated solution ● Experience in building and/or contributing towards machine learning solutions for business problems. ● Experience with various database technologies including AWS databases, large scale SQL and NoSQL databases and design. ● Hands-on experience designing, building, and deploying secure, scalable services in the Cloud and SaaS environments. ● Deep understanding of software quality and what it takes to construct resilient and impactful solutions Qualifications ● Bachelor's degree or equivalent experience in computer science, information technology or business information systems or related field. ● Typically, minimum of 10 years - Professional Experience in Coding, Designing, Developing and Analyzing Data. ● Certifications in at least one of the following: Java, Node.js, AWS, Azure, GCP, Kubernetes, Spark, or similar areas Technology Stack ● Must have skills: Java, Spring, Spring Boot, Kafka, Kubernetes, MS SQL, Oracle, Postgres, MongoDB, RESTful, React.js , Redux, TypeScript. ● Nice to have skills: AWS Cloud Tools or equivalent (Azure / GCP), DynamoDB or equivalent, Airflow, Spark, Redis etc 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. #pridepass
View more...Job Description At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS? About the Role You will shape the technical direction for mission-critical agentic engineering capabilities across the enterprise. You will define how coding agents, harnesses, reusable libraries and automated workflows transform the software development lifecycle. As a recognized software engineering expert, you will guide cross-functional teams through undefined technical challenges and establish standards for quality, security and scalability. Success means delivering precedent-setting solutions, influencing engineering strategy and enabling responsible adoption of AI-assisted development. What You Will Be Doing Define the enterprise architecture and technical strategy for agentic software engineering capabilities. Establish reference architectures for coding agents, harnesses, reusable libraries and automated development workflows. Set engineering standards for Model Context Protocol servers, tools, interfaces and lifecycle management. Guide mission-critical design decisions involving security, scalability, reliability and platform interoperability. Establish rigorous controls for evaluating, testing, monitoring and governing AI-generated software. Optimize complex software architectures to support changing requirements and enterprise-scale adoption. Advise engineering, product, implementation and client-facing teams on high-impact technical decisions. Lead investigation and resolution of the organization’s most complex software and integration challenges. Coach senior engineers and technical leads on architecture, agentic programming and engineering excellence. Influence long-term roadmaps, development practices and technology investments across the organization. What you will need Master-level expertise in software architecture, platform engineering and enterprise application development. Advanced proficiency with Python, TypeScript or comparable languages used for complex software platforms. Demonstrated success shaping technical strategy for large-scale, long-term software initiatives. Deep experience with distributed systems, cloud architecture, APIs, security and production reliability. Proven ability to establish engineering standards and influence decisions across organizational boundaries. Expertise in code quality, automated testing, performance optimization and software lifecycle governance. Degree in computer science, engineering or a related field, or equivalent practical experience. Added bonus if you have Recognized expertise in agentic programming, coding agents or large language model application architecture. Experience defining enterprise patterns for Model Context Protocol development and adoption. Deep knowledge of Claude Code, GitHub Copilot, OpenCode or comparable AI engineering ecosystems. Experience establishing AI evaluation, observability, safety and governance frameworks. Client-facing engineering experience involving technical strategy, implementation and executive-level communication. Advanced degree in computer science, engineering or a related technical discipline. What We Offer you At FIS, you can grow your career as far as you want to take it. Here’s what else we offer: Opportunities to make an impact in fintech Personal and professional learning Inclusive, diverse work environment Resources to give back to your community 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. #pridepass
View more...Job Description At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS? About the Role You will lead a software engineering team building agentic artificial intelligence platforms that improve the enterprise software development lifecycle. You will guide the delivery of coding agents, developer harnesses, reusable libraries, Model Context Protocol integrations and automated workflows. In addition to platform development, you will lead engineers who partner directly with internal FIS engineering and implementation teams to accelerate adoption, deployment and operational success. You will balance people leadership, technical direction and operational execution while partnering with engineering, product, implementation and client-facing teams. What You Will Be Doing Lead, coach and develop software engineers across multiple career levels and technical disciplines. Establish team priorities, delivery plans and success measures aligned with enterprise technology objectives. Guide the architecture of scalable agentic workflows, coding harnesses, reusable libraries and developer platforms. Oversee solutions developed primarily with Python, TypeScript, cloud technologies and Model Context Protocol integrations. Ensure coding agents and automated workflows meet security, quality, reliability and maintainability standards. Foster disciplined engineering practices, including design reviews, code reviews, automated testing and production readiness. Allocate team capacity across platform development, implementation support, technical consultation and continuous improvement. Lead engineers who partner directly with FIS product, engineering and implementation teams to solve complex technical challenges and accelerate solution deployment. Partner with stakeholders to translate engineering and client needs into clear technical priorities and delivery plans. Monitor delivery risks, dependencies, operational performance and resource needs across concurrent initiatives. Build an inclusive, collaborative culture that supports learning, accountability, innovation and engineering excellence. What You Will Need: Demonstrated experience leading or mentoring software engineers within an agile product or platform environment. Strong software engineering knowledge across architecture, development, testing, integration and production support. Proficiency with Python, TypeScript or comparable languages used to build modern software platforms. Experience delivering developer tools, automation frameworks, reusable libraries, workflow systems or integration platforms. Knowledge of cloud architecture, application programming interfaces, distributed systems and software reliability practices. Ability to manage complex priorities, delivery dependencies and resource allocation across multiple initiatives. Strong stakeholder communication skills, including technical planning, expectation management and issue resolution. Degree in computer science, engineering or a related field, or equivalent practical experience. Added Bonus if You Have: Experience leading teams building agentic artificial intelligence applications, coding agents or developer productivity platforms. Knowledge of Claude Code, GitHub Copilot, OpenCode or comparable artificial intelligence coding environments. Experience developing Model Context Protocol servers, tools, integrations or governance standards. Familiarity with artificial intelligence evaluation, observability, security, safety and responsible use practices. Experience supporting client implementations, technical discovery, solution delivery or complex troubleshooting. Experience managing vendor relationships, project budgets or defined technology investment plans. What We Offer you At FIS, you can grow your career as far as you want to take it. Here’s what else we offer: Opportunities to make an impact in fintech Personal and professional learning Inclusive, diverse work environment Resources to give back to your community 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. #pridepass
View more...Senior Full Stack Java Developer – 6-9 Yrs of Experience – Pune Location About The Team As a Senior Full Stack Java Developer, you will join a high-performing engineering team delivering innovative Supply Chain Finance solutions that enhance FIS’s financial services platform. You will play a key role in designing, developing, testing, and maintaining scalable enterprise applications while collaborating closely with product, architecture, and engineering teams. Success in this role requires strong full-stack development expertise, a passion for software craftsmanship, and the ability to deliver secure, high-quality solutions in an agile environment. You will contribute throughout the software development lifecycle, from requirements refinement to deployment and continuous improvement. What You Will Be Doing Design, develop, and maintain enterprise-grade applications using Core Java, Spring, Spring Boot, JPA, and Hibernate. Build scalable microservices and RESTful APIs that support business-critical financial workflows. Implement secure authentication and authorization solutions using OAuth 2.0, JWT, and Spring Security. Create comprehensive unit and integration tests using JUnit and Mockito to ensure application reliability. Apply SOLID principles, design patterns, and test-driven development practices to deliver maintainable code. Collaborate with product owners, business analysts, architects, and engineers to translate requirements into technical solutions. Optimize application performance and troubleshoot complex technical issues across distributed systems. Participate in backlog grooming, sprint planning, code reviews, and continuous improvement initiatives. Develop database-driven solutions utilizing SQL and PL/SQL for efficient data management and integration. Support containerized application deployments using Docker and contribute to modern DevOps practices. What you will bring 6 to 9 years of professional software development experience with Java-based enterprise applications. Strong hands-on experience with Core Java, Spring Framework, Spring Boot, JPA, Hibernate, and Microservices Architecture. Experience developing and consuming RESTful web services and APIs. Proficiency in unit and integration testing using JUnit, Mockito, and automated testing frameworks. Strong knowledge of application security practices, including OAuth 2.0, JWT, and Spring Security. Experience with Maven, Docker, SQL/PLSQL, and messaging technologies such as ActiveMQ or similar platforms. Solid understanding of software engineering best practices, including SOLID principles, design patterns, and test-driven development. Bachelor’s degree in computer science, Engineering, or a skills-based equivalent combination of education and experience. Preferred Qualifications Experience working within Agile software delivery environments. Knowledge of Azure cloud services and cloud-native application development. Experience with Kubernetes, Helm Charts, and container orchestration technologies. Familiarity with CI/CD tools such as Jenkins and source control platforms including GitHub. Understanding identity and access management technologies including Keycloak, SSO, API Keys, and Multi-Factor Authentication. Experience with Angular framework and modern front-end development practices. What We Offer you Opportunities to make an impact in fintech Personal and professional learning Inclusive, diverse work environment Resources to give back to your community 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 . 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. #pridepass
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