Back to SearchSenior Java Developer (Algorithms and Data Structures)
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We are eagerly seeking a Senior Java Developer who possesses an in-depth understanding of Data Structures and Algorithms as well as proficiency in AWS. Join our remote team and bring your expertise to our projects.
As our Product Engineer, your role will include the design and construction of maintainable, scalable software solutions. You will utilize a diverse range of technology areas, including but not limited to Java, Kotlin, Scala, and Go language. Proficiency in Spring and Java Microservice Infrastructure is also required. Working alongside developers, testers, and other stakeholders, your responsibility will be to ensure on-time and successful product delivery.
Responsibilities
- Partnership with various teams to understand project needs and develop solutions
- Construction and management of scalable, maintainable software solutions
- Code creation and maintenance adhering to clean coding principles
- Oversight of code reviews to ensure compliance with coding standards
- Establishment and management of automated tests to ensure quality deliverables
- Engagement in the Agile/Scrum development process and ceremonies
- Assurance of punctuality and quality of code delivery
- Documentation processes for code and system architecture
- Participation in system design and architecture dialogue
- Provision of mentorship and technical guidance to junior developers
Requirements
- A Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a similar field
- A minimum of 4 years' software development experience, preferably in Java
- Previous experience with Amazon Web Services (AWS)
- Proficiency in Data Structures and Algorithms
- Prior experience in Kotlin, Scala, or Go Language
- Proficiency in both SQL and NoSQL tools, APIs, and Integration
- Familiarity with CI/CD processes and tools
- Mastery of Spring and Java Microservice Infrastructure
- A strong sense of ownership and proactive problem-solving abilities
- Fluency in English at Upper-Intermediate level or above, with strong verbal and written communication skills
Nice to have
- Prior familiarity with containerization technologies such as Docker and Kubernetes
- Experience with Big Data technologies like Hadoop and Spark
- An understanding of Machine Learning and Artificial Intelligence technologies
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