Collaborating with business stakeholders, engineers, and team leadership to translate business needs into technical solutions + Designing, developing, testing, and enhancing full stack applications across frontend and backend technologies + Building and integrating application programming interfaces, microservices, and cloud-based services to support product functionality + Supporting product quality through code reviews, testing, debugging, and continuous integration and continuous deployment practices + Contributing to technical analysis, solution design, and delivery activities that support client outcomes and product development A successful candidate would possess these skills: + Ability to work independently and collaborate as part of a team + Effective written and verbal communication skills + Meticulous attention to detail and quality of work product + Ability to build and sustain professional relationships + Ability to lead projects or workstreams + Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment + Strong interpersonal skills and professional demeanor + Ability to meet deadlines + Ability to provide clear guidance to others Qualifications Required: + Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a similar technical field + 1-3+ years experience in the following areas: + 1-3+ years of experience in full stack development across frontend and backend technologies, including experience with Angular, React, or Next.js and JavaScript, TypeScript, HTML5, and CSS3 + 1-3+ years of experience in backend development using Node.js, Python with Django or Flask, or Java with Spring Boot + 1-3+ years of experience building and consuming Representational State Transfer application programming interfaces and working with microservices or serverless architectures in production environments + 1-3+ years of experience working with relational databases and at least 1 NoSQL database, and using Git, Azure DevOps or similar tools, Docker, Agile or Scrum methods, automated testing, and continuous integration and continuous deployment pipelines + 1-3+ years of experience developing, integrating, or deploying artificial intelligence, Generative AI, or agentic AI solutions within enterprise applications on Amazon Web Services, Microsoft Azure, or Google Cloud Platform + Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. Preferred: + Experience with object-oriented programming, design patterns, and clean coding practices + Experience building secure, reusable, responsive, and maintainable applications + Experience with secure development practices, DevOps, DevSecOps, web security, GitOps, or Kubernetes customization + Experience with OpenSearch, Elasticsearch, Neo4j, Memgraph, Maven, or Gradle + Experience with Bootstrap, jQuery, or JavaServer Pages in legacy or mixed-technology environments + Cloud certification in Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.