About The Position

As a senior member of the Software Engineering team within the Revenue Management Technology organization, the Fullstack Senior Software Engineer contributes to the technology product roadmap and is responsible for designing, hands-on development, and delivery of technology products. The role partners with business, operations, and technology stakeholders to innovate, contribute to product vision and technology roadmaps, and connect business strategy with technology outcomes. The engineer applies expertise across the software development lifecycle and works with stakeholders to pursue shared goals. The role involves designing, developing, coding, testing, and supporting applications while meeting business and functional requirements. The team operates in a collaborative environment that encourages experimentation, continuous learning, diversity of thought, and customer-focused solutions. The position also uses enterprise-authorized AI-assisted development tools to support coding, testing, troubleshooting, documentation, and automation, while evaluating outputs for correctness, performance, and security. The engineer helps improve team practices by sharing learnings and reusable patterns, and guides peers in responsible AI use.

Requirements

  • Formal training or certification in software engineering concepts, or equivalent, with at least 3 years of applied experience.
  • Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database query languages.
  • Practical hands-on experience in system design, application development, testing, and operational stability.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools for activities such as coding, test creation, troubleshooting, or documentation.
  • 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, secure handling of inputs and outputs, and resiliency and security expectations.
  • Ability to guide peers on safe and effective AI tool use within team practices.
  • Overall knowledge of the Software Development Life Cycle.
  • Solid understanding of agile methodologies and practices such as CI/CD, application resiliency, and security.

Nice To Haves

  • Full-stack development experience with modern technologies for large enterprise technology platforms and systems.
  • Hands-on experience coding microservices in Java and Spring Boot and building reactive APIs.
  • Hands-on experience building web applications with JavaScript frameworks such as React or Angular.
  • Hands-on experience with SQL or NoSQL databases such as Oracle, Cassandra, or MongoDB.
  • Hands-on experience with messaging or event-streaming platforms such as Kafka.
  • Experience deploying applications using Docker containers and Kubernetes to cloud platforms.
  • Familiarity with design patterns and anti-patterns.
  • Knowledge of performance engineering, tuning, and building technology products for scale.
  • Experience with AI/ML.

Responsibilities

  • Execute software solution design, development, and technical troubleshooting, using non-routine approaches to build solutions and break down technical problems.
  • Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
  • Use enterprise-authorized AI coding-assistance tools for complex deliverables such as code generation and refactoring, unit test creation, and documentation; validate results through peer review, automated testing, and secure coding standards.
  • Share learnings and reusable patterns to improve broader team effectiveness.
  • Use the Software Development Life Cycle toolchain, including authorized AI-assisted development and automation capabilities, to improve the value realized from automation.
  • Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
  • Gather, analyze, synthesize, and visualize large, diverse data sets and produce reporting to support continuous improvement of software applications and systems.
  • Proactively identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.
  • Partner with business, operations, and technology stakeholders on product vision, technology roadmaps, and delivery.

Benefits

  • Competitive total rewards package, including base salary based on role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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