MEAN Stack Developer

Technical Skills: 5+ years of JavaScript/Typescript experience at an expert-level proficiency is a must Experience building and maintaining complex, single-page web-apps, using modern JavaScript frameworks & libraries (AngularJS, React and Vue.js) In-depth knowledge of JavaScript, HTML, CSS, SCSS and related technologies. Experience with RESTful web services and/or microservices (especially Node.js, Express) Strong in NodeJS development Cloud experience (AWS, azure) is a plus Practical experience using AI‑assisted coding tools such as GitHub Copilot and Claude Code to accelerate development and improve engineering workflows. Working with agile development methodologies, continuous integration, test-driven development and Git version control. Experience with Docker under Linux or OSX Experience with NoSQL or multi-value (PICK) database

Desired Experience and Skills: Bachelors/Advanced degree (or experience equivalent) with 10 + years of software Industry experience in product design, architecture, or support experience. Experience with legacy modernization is a big plus Good communication and interpersonal skills Desire to mentor developers on the team Strong willingness to learn new technologies, dive into challenges and take direction Must exhibit a positive approach and the ability to work efficiently as a individual contributor Must have the ability to work well with the team, efficiently distribute expertise, etc. HCM domain knowledge is a plus

Specific Duties and Responsibilities: Perform complex application code development, maintenance and debugging Perform unit test on assigned work Prepare application technical documentation spanning multiple lifecycle phases Lead code reviews Develop and adhere to software engineering standards spanning the entire lifecycle Leads systems design efforts to ensure major design issues such as security, performance, data integrity and scalability are addressed. Review key requirements deliverables to ensure that a cohesive, functionally sound product is defined. Works with the quality assurance team to ensure the test strategy covers all aspects of the project

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.