Full Stack Engineering

The Senior Full Stack Developer will design, build, and support modern capabilities for Crew Pay, a business-critical pay platform. This role combines hands-on application development with cloud-native engineering across AWS, event-driven services, streaming, data processing, and relational databases. The successful candidate will deliver secure, resilient, observable, and maintainable solutions while partnering with product owners, engineers, architects, quality engineering, DevOps, and business stakeholders. Design, develop, test, deploy, and support end-to-end full stack features for the Pilot Pay product Build cloud-native services using AWS ECS/Fargate, Lambda, SQS, SNS, S3, and RDS Develop and optimize Apache Spark jobs for scalable data transformation and pay-processing workloads Build responsive user experiences and secure APIs that provide clear business workflows, validation, and auditability Implement automated unit, integration, component, regression, and end-to-end tests as part of CI/CD pipelines Improve production readiness through logging, metrics, tracing, alerting, runbooks, and root-cause analysis Participate in Agile delivery practices, code reviews, technical design discussions, estimation, and continuous improvement Mentor engineers and raise engineering standards for architecture, code quality, security, performance, and supportability Cloud and compute: AWS ECS/Fargate and Lambda Data and storage: S3, RDS, Aurora, and SQL Data processing: Application development: Microservices, APIs, and modern web user interfaces Engineering: CI/CD, infrastructure-as-code, automated testing, and observability AI-enabled delivery: AI coding assistants, agents, and agentic workflows Reduces production risk through strong engineering controls, automated validation, and actionable observability Improves delivery speed and code quality through reusable patterns, automation, and responsible use of AI-assisted engineering Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience ~4+ years of professional software development experience, including ownership of production applications ~ Strong back-end development experience using Java, Python, or a comparable enterprise language and framework ~ Front-end development experience using a modern JavaScript or TypeScript framework such as React, Angular, or Vue ~ Practical experience with AWS ECS/Fargate, Lambda, SQS, SNS, S3, and RDS ~ Experience developing event-driven solutions using Kafka or a comparable streaming platform ~ Experience building, troubleshooting, and optimizing Apache Spark jobs ~ Strong knowledge of SQL, relational data modeling, transactions, and performance tuning ~ Experience with infrastructure-as-code, CI/CD, source control, automated testing, and secure software development practices ~ Demonstrated ability to diagnose complex production issues across applications, messaging, data, and cloud infrastructure layers ~ What will help you propel from the pack (Preferred Qualifications): Experience supporting payroll, crew pay, financial, or other high-accuracy transaction-processing systems Experience with Amazon MSK, EMR or EMR Serverless, Aurora MySQL, container orchestration, and serverless architectures Knowledge of event schemas, data lineage, reconciliation, replay controls, and audit-trail design Experience applying observability, performance engineering, cost optimization, and operational automation in AWS Experience using AI-assisted development tools for requirements refinement, code generation, test creation, debugging, refactoring, documentation, or code review Experience creating AI agents or agentic workflows using tools or frameworks such as LangChain, LangGraph, Model Context Protocols, retrieval-augmented generation, or similar patterns Understanding of responsible AI practices, prompt and tool security, human-in-the-loop controls, evaluation, and production monitoring for AI-enabled solutions Experience working in a product-centric Agile environment with outcome-based delivery and shared operational ownership The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.