Poslané v: Iné v San Diego | Posted: |
Job Description
Team:
The Data Streaming group has teams that provide streaming API for higher-layer applications and/or work to scale our application platforms. Depending on the nature of the data, the storage systems include data in motion, such as time-series databases or message bus systems. Our largest customers are constantly pushing the limits of the backend storage in terms of size of the data, speed of IO, and the number of concurrent transactions. Performance, reliability, and scalability are always at the core of our work.
Our largest customers are constantly pushing the limits of the backend storage in terms of size of the data, speed of IO, and several concurrent transactions. Performance, reliability, and scalability are always at the core of our work.
What you get to do in this role:
Design and build highly innovative interactive high performant solutions with scalability and quality.
Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs.
Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Design and develop tools, libraries, and frameworks with long term platform mindset thinking for high modularity, extensibility, configurability, and maintainability.
Lead and coordinate work cross functionally to improve architecture, developing process and mentoring junior members in the team.
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Contribute to the design and implementation of new products and features while also enhancing the existing product suite.
Manage projects with material technical risk at a team level.
Explorer and evaluate new technology and innovation to continuously improve platform capability and functionality.
Be a mentor for colleagues and help promote knowledge-sharing.
To be successful in the role:
Advanced knowledge and experience with fundamentals in distributed systems design and development
Strong fluency with Java programming as well as good understanding of Java memory model and garbage collection
Experience with JVM performance tuning and optimization as well as experience in diagnosing performance bottlenecks.
Advanced working knowledge of concurrency, sockets, networking, operating systems, memory management, runtimes, portability, etc
Has the experience and ability to diagnose issues and troubleshoot.
Nice to have:
Experience with streaming systems (Kafka, Pulsar, etc.)
Experience working with Kafka.
Experience working in a DevOps environment.
Experience with relational databases: Oracle, MySQL, MariaDB, MS SQLServer
