How does swipeandhired work?

You set your target roles, salary floor and locations once. swipeandhired scores matching postings against your profile, drafts tailored application materials with AI, and either lets you swipe to apply, one tap at a time, or runs fully on autopilot. Every application is tracked in your dashboard.

Which ATS platforms does swipeandhired support?

All of them. swipeandhired applies on every applicant tracking system (ATS) employers use, including Workday, SmartRecruiters, Greenhouse, iCIMS, Lever, Ashby, Taleo, SuccessFactors, Oracle Cloud and Jobvite, and on a company's own careers page when it uses none of them. You can also bring any posting yourself by link or pasted text.

Can I cancel my subscription?

Anytime, in one click from the billing portal in Settings. Your plan stays active until the end of the current billing period. No retention calls, no dark patterns.

Is my data used for training AI models?

Our platform AI provider may use the content we send it, your profile and the job posting, to improve its models. We never sell your data. If you bring your own AI provider key, requests go directly to your provider under their terms.

Java Fullstack Software Engineer III - Kubernetes / React at JPMorgan Chase, Tampa, FL

Java Fullstack Software Engineer III - Kubernetes / React at JPMorgan Chase in Tampa, FL. Est. up to $200k. Apply with swipeandhired.

At JPMorganChase, we build technology that powers some of the most complex and consequential financial operations in the world — and we are looking for engineers who are ready to grow with us. Join a team where your full-stack expertise shapes the platforms that support management and operational functions across the Commercial & Investment Bank, and where your career development is just as important as the products you deliver.

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank Management and Support Functions Technology team in Tampa, FL, you will serve as a seasoned member of an agile engineering team responsible for designing and delivering secure, scalable, and reliable full-stack software solutions. You will build robust Java backend services alongside modern React front-end interfaces, deploy and manage containerized workloads on Kubernetes, and collaborate with cross-functional partners to deliver technology that supports critical business operations at scale. This is an opportunity to deepen your technical craft, embrace AI-assisted development practices, and contribute to a culture of inclusion, innovation, and continuous improvement.

Job Responsibilities

Execute software solutions across design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions and break down complex technical problems

Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems across management and support function platforms

Develop and maintain scalable backend services and REST APIs using Java and Spring Boot, ensuring high availability, performance, and maintainability in a large corporate environment

Build and enhance responsive, user-facing web applications using React, delivering intuitive and accessible experiences for internal and external stakeholders

Deploy, manage, and monitor containerized applications using Kubernetes, ensuring platform reliability, scalability, and operational stability across environments

Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity — including code generation, refactoring, unit test creation, and documentation — while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness

Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout software code development

Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture

Contribute to a team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience

Hands-on practical experience in system design, application development, testing, and operational stability

Proficiency in Java backend development using Spring Boot, including REST API design and microservices architecture patterns

Hands-on experience building and maintaining front-end applications using React or a comparable modern JavaScript framework

Demonstrated experience deploying and managing containerized applications using Kubernetes in a production or near-production environment

Hands-on experience using enterprise-authorized AI-assisted software development tools (e.g., for coding, test creation, troubleshooting, or documentation), with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Overall knowledge of the Software Development Life Cycle

Solid understanding of agile methodologies, including CI/CD, application resiliency, and security best practices

Preferred qualifications, capabilities, and skills

Familiarity with Commercial & Investment Bank management or operational support domain concepts such as reporting, workflow automation, or data visualization

Experience with relational or distributed database technologies including SQL, Oracle, or NoSQL platforms for data modeling and query optimization

Exposure to cloud infrastructure technologies including compute, container services, and storage (e.g., AWS, Azure, or GCP)

Experience with observability and monitoring tooling such as Datadog, Grafana, or Splunk for production system health and incident response

Knowledge of event-driven architecture patterns and asynchronous messaging frameworks such as Apache Kafka