Software Engineer (Full Stack), Employee Experience & Productivity at Apple

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

0.0

Posted On

17 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Frontend Development, HTML5, CSS3, JavaScript, React, Node.js, RESTful APIs, Security Best Practices, NoSQL Databases, Micro-services Architecture, Docker, Kubernetes, CI/CD Pipelines, Cloud Services, Data Visualization

Industry

Computers and Electronics Manufacturing

Description

Imagine what you could do here at Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. What inspires you? Creating something new and finding solutions to complex problems? Bring passion and dedication to your job and there's no telling what you could accomplish. IS&T employee experience & productivity team is looking for a creative and motivated Software engineer with excellent problem solving and interpersonal skills. The work we do here has a large impact on Apple, from enabling our internal businesses to do their best work, to providing rich, highly useable experiences to our customers and partners Our teams foster a collaborative environment with creative, smart & fun people using state of the art technologies. Engineering excellence is expected. Come join us for this once in a lifetime opportunity in building solutions for Apple that has worldwide impact. DESCRIPTION As a Full Stack Engineer you will be responsible for building the next generation of user experiences for Apple’s HR Platform. You will work with project managers and technical teams in a multi-functional environment to implement quality products that meet the business goals. The ideal candidate will be self-motivated, pro-active and solution oriented. Attention to detail and dedication to providing a high-quality, stable delivery are essential. You will be challenged to find creative solutions to technical problems, feel comfortable working with complex systems and large data sets, collaborating in a team environment. We promote innovation to improve our product performance and stay deeply focused on delighting our users. MINIMUM QUALIFICATIONS 4+ years of Software development experience designing and building complex, highly available, large scale web applications. 3+ years in frontend development. Bachelor’s or Master’s degree in computer science or equivalent experience. PREFERRED QUALIFICATIONS Frontend development. using HTML5, CSS3, JS & one or more JavaScript frameworks like NextJS, React, Angular or equivalent. Excellent knowledge of server side programming languages & frameworks like Node.js, Express, Java & Spring. Experience with RESTful API usage and development. Understanding of security best practices for web applications. Experience in web analytics, accessibility, standards, and SEO techniques. Ability to learn and apply new technologies quickly. Strong understanding of TypeScript and the latest ECMAScript standards. Experience with non-relational, NoSQL databases and various data-storage systems. Experience with micro-services architecture and containerization (e.g., Docker, Kubernetes). Familiarity with messaging platforms like Kafka. Familiarity with CI/CD pipelines and automated testing frameworks. Strong problem solving skills, with the ability to work in a dynamic and agile environment. Ability to collaborate with teams located in different locations. Ability to learn and apply new technologies quickly. Expertise with cloud services. Expertise with Build Tools. Experience with reactive or functional programming. Experience with data visualization technologies. Experience developing solutions to build dynamic UI through configuration is a plus.

Responsibilities

As a Full Stack Engineer, you will build user experiences for Apple’s HR Platform and collaborate with project managers and technical teams to implement quality products. You will be challenged to find creative solutions to technical problems while working with complex systems and large data sets.