Back to SearchSenior Java Engineer with Data Structures and Algorithms
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We are seeking a Senior Java Developer with a thorough knowledge of AWS, Data Structures, and Algorithms to strengthen our remote team.
As our Product Engineer, you will strategize and execute scalable, maintainable software solutions. Your technological rapport should ideally extend to Java, Kotlin, Scala, and Go Language along with Spring and Java Microservice Infrastructure. You'll be an integral part of our team, working collaboratively with a diverse group of developers, testers and stakeholders to schedule and execute successful product delivery.
Responsibilities
- Understanding project requirements through engagement with cross-functional teams to develop solutions
- Strategy and execution of scalable, maintainable software solutions
- Code creation and maintenance utilizing clean coding principles
- Conduct of code reviews to ensure coding standards compliance
- Setup and maintenance of automated tests to ascertain deliverable quality
- Active participation in Agile/Scrum development processes and ceremonies
- Punctual and quality-assured code delivery
- Documentation tasks relating to code and system architecture
- Contribution to system design and architecture discussions
- Offering technical mentorship to junior developers
Requirements
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related field
- Minimum of 4 years' experience in software development, with emphasis on Java
- Previous experience with Amazon Web Services (AWS)
- Competent in Data Structures and Algorithms
- Prior experience with Kotlin, Scala, or Go Language
- Proficiency in SQL and NoSQL tools, APIs and Integration
- Knowledgeable about CI/CD processes and tools
- Skilled in Spring and Java Microservice Infrastructure
- Strong sense of ownership alongside proactive problem-solving capabilities
- Proficient English with a level of Upper-Intermediate or higher, exhibiting excellent verbal and written communication skills for seamless collaboration with remote teams
Nice to have
- Previous experience with containerization technologies like Docker and Kubernetes
- Experience working with Big Data technologies such as Hadoop and Spark
- A certain familiarity with 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