Back to SearchSenior 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
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