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Senior Java Developer (AWS and Data Structures and Algorithms)

Java, Algorithms & Data structures, Kotlin, Scala, Go Language, SQL, NoSQL tools, APIs and Integration, CI/CD, Spring, Ownership, Java Microservice Infrastructure, Amazon Web Services
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Sorry, this position is no longer available

We are currently in search of a remote Senior Java Developer with AWS proficiency and a deep understanding of Data Structures and Algorithms to join our team. As a Senior Developer, your role will involve designing and building software solutions that are both scalable and maintainable. You should be proficient in a range of technologies, including Java, Kotlin, Scala, and Go Language, as well as Spring and Java Microservice Infrastructure. You will be part of a team of developers, testers, and other stakeholders, ensuring the successful and timely delivery of our product.

Responsibilities
  • Collaborate with multi-disciplinary teams to understand project requirements and develop solutions
  • Develop and implement scalable and maintainable software solutions
  • Create and maintain code in line with clean coding practices
  • Develop and maintain automated tests to assess the quality of deliverables
  • Conduct code reviews to ensure compliance with coding standards
  • Ensure the timely delivery of high-quality code
  • Provide technical guidance and mentorship to junior developers
Requirements
  • A minimum of 4 years of software development experience, with a focus on Java
  • A Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field
  • Previous experience with Amazon Web Services (AWS)
  • Expertise in Data Structures and Algorithms
  • Expertise in Spring and Java Microservice Infrastructure
  • Proficiency in SQL and NoSQL tools, as well as APIs and Integration
  • Familiarity with CI/CD processes and tools
  • Experience with Kotlin, Scala, or Go language
  • B2+ English level or higher
Nice to have
  • Experience with containerization technologies such as Docker and Kubernetes
  • Familiarity with Big Data technologies like Hadoop and Spark
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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