Lead Java Software Engineer DescriptionJob #: 50565
We are extending the team with Senior Java/Scala engineers.
The role involves participation in the full cycle of solution engineering including: project scope definition and estimation (including working with stakeholders); architecture design, technical decision-making; functionality implementation, assuring well-designed, testable and efficient code; code refactoring and optimization; testing: unit, mock, integration, etc.; providing technical leadership and mentorship to teammates; and also participation in knowledge sharing and best practices elaboration within our Java competency center.
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- Strong Java development skills (must have experience with Java 8 or 9); Scala expertise is very desirable
- Multithreading, Functional programming experience
- Strong knowledge of Spring frameworks, including: Spring Core, Spring Data, Spring Integration, Spring Cloud, Spring Boot, etc
- Experience in Big Data stack, like Hadoop, Spark, Hive
- Experience in ORMs/JPAs, for example Hibernate
- Experience in web frameworks: Spring MVC, Play Framework or similar
- Familiarity with AWS or other cloud platforms
- Practical knowledge of Microservices architecture approach, including usage of Netflix’s, Lighbend’s or other industry leading components for Service Discovery, API Gateway, Load balancing and Orchestration
- Experience in relational databases using one of the following Oracle9i/10g/11g, SQL Server, DB2, MySQL, or PostgreSQL
- Experience in NoSQL and Caching databases, one of the following: MongoDB, Cassandra, Redis, Terracotta, Ehcache
- Knowledge of messaging middleware: RabbitMQ, Kafka, etc
- Experience exchange with colleagues all around the world
- Competitive compensation depending on experience and skills
- Regular assessments and salary reviews
- Opportunities for self-realization
- Friendly team and enjoyable working environment
- Flexible working schedule
- Corporate and social events
About the ProjectOur client is an American investment management firm, the biggest and most successful hedge fund in the world, founded by Ray Dalio in 1975. The firm serves institutional clients, including pension funds, endowments, foundations, foreign governments, and central banks. As of 2019, it had approximately US$160 billion in assets under management.
Client’s account: 220 FTE, 10+ projects.
Locations: USA, Spain, Ukraine, Russia, Belarus.
ABOUT THE PROJECT:
The goal of the Research department is to fundamentally understand how the global economy works. Embedded within the Research department is a uniquely-talented technology team that builds the tools that allow our macroeconomists to conduct their research and understand the world's economies at a level we believe no other firm is capable of. These tools tackle problems ranging from data ingestion and storage to data visualizations, to signal creation.
With a fundamental approach to researching markets, and a systematic approach to understanding and executing on that understanding, the client places an unparalleled emphasis on technology as the critical component to this process.
Today we have about 35 EPAMers in the department (nearly 100 in-house people in total). We work very closely with the client's products and services teams, security/operations/software architects, product managers. The client's typical engineer is approximately D4-D5 on the EPAM scale. There are also up to D9-level professionals. Many of the in-house developers/architects here worked previously in various top IT companies like Google, HP, Linkedin, etc.
We are now in the process of expanding the client's development teams. However, EPAM has started to shift from the team-expansion approach to EPAM-driven teams with its own development processes, leadership, architecture, operations, etc. To implement this transformation, we need to have strong and reliable software engineers and technical leaders who can drive these initiatives within a complicated and challenging environment.
There is a PMO office (with EPAM's PMs also) which helps to make our Agile environment more standardized and structured. Almost all teams use Scrum as a framework with custom adjustments. Nearly every product team has a full set of people, to be fully cross-functional: Project Manager, Product Manager, Solution Architect, Developers, sometimes Automation QAs.
• Scala, Java, Python, Terraform, Nix
• Build tools: Pants/Maven
• Git + Gerrit, BuildBot/Jenkins, Jira/Redmine
• Distributed systems: Spark, Kafka, Zookeeper
• Cloud technologies: AWS, Kubernetes