Software Engineer III- Java job vacancy

Vacancy expired!

Locations:

Dallas, Atlanta, DC, NJ (Central, Lawrenceville- near Princeton), Oakland

Remote for now; eventually, 2 - 3 times on-site.

What we expect from you:

Be comfortable working in a distributed team, in a fast-paced environment, and have excellent written and verbal communication skills
Have a collaborative attitude and love working with others to find elegant solutions to complex problems, always keeping the end-user in mind
Have a solid foundation in
Java development and be comfortable building services at scale
Are familiar with
cloud Software Deployment and monitoring tools and are enthusiastic about learning new technologies and skills.

Duties and Responsibilities:

Contribute
code to level up services and APIs to power next-generation streaming clients
Write Unit and Integration tests and advise Quality Engineering on acceptance tests
Demonstrate working Software during in-person and/or virtual meetings with stakeholders
Actively participate in and positively contribute to SCRUM meetings
Lead or contribute to investigations and discussions with other Developers, Product Management, Designers, Data Scientists, and Talent Curator/Creator personnel as a representative of the voice team
Write documentation both for consumers of the API as well as for team members also working on the services
Perform service deployment, maintenance activities and respond to production issues as needed.
Mentor and train new team members or more Junior Engineers

Minimum Qualifications:

4+ years Development experience with a focus on
microservice development
Experience in designing and developing highly scalable, highly available, highly performant, and maintainable internet computing (
Google Cloud Platform, AWS)
Experience with
API design/development (i.e.
RPC, REST, JSON)
Experience with
Spring/SpringBoot
Experience with
Unit/Integration testing
Understanding of multi-threading, concurrency, design patterns, and their impacts on application concurrency and scalability.
Must have legal right to work in the U.S.

Technical Skills:

Experience collaborating with Data Scientists, exposure to
Machine Learning algorithms and/or statistical modeling methods
Experience with
high scale user facing services
Experience with anomaly detection and analysis of high-volume metrics
Experience with
NoSQL datastores (like BigTable, Redis, Cassandra)
Experience with
Google Cloud Platform or AWS cloud services
Experience with
Kafka (or similar messaging technology)
BA/BS or above in Computer Science or a related field