Venue of walk-in interview: LTI hire event location @ Austin, TX 78731
Date: 01-Jun-2019 (Saturday)
Time: 09:30 am to 04:00 pm (CDT)
How to apply:
- Interested candidates are invited to submit their applications to appear for this walk-in interview, by applying here. Invitation for in-person interview with additonal details will forwarded be to applicants, meeting the basic qualifying criteria.
- Each interview slot will be for ~ 45 to 60 mins per interviewee. Candidate should be prepared for a hands-on technical interview, including reviewing / editing code, drawing diagrams, process workflows, presenting on a whiteboard etc.
Levels:
- ~ 5 to 8 years of relevant skills
- ~ 8 to 12+ years years of relevant skills
No pf positions: 11
Type of job: All are regular full-time positions.
Roles:
- Software Developers and Architects
- Incumbent will be working with our Austin TX and Silicon Valley, CA - based engineering services teams in develop cutting-edge solutions using object-oriented (OO) technologies in a heterogenous environment comprising of client-server and cloud infrastructure. Be part of a team working on challenging and fast-paced projects supporting business by delivering high volume, high performance, and high availability distributed processing systems.
Key qualifying skills:
Must have recent demonstrable experience having worked in developing and integrating multi-tier enterprise environment, including but not limited to architecture, design, development from ground up. Core skills our team is interested in seeing are
- Hands-on Java 1.8 programming skills is a must, with focus on functional programming
- Multithreading
- Good knowledge of data structures and algorithms
- Hibernate
- Microservices
- Spring framework
- Docker or any other open-source container orchestration systems, e.g. - Kubernetes
- NoSQL
Other desirable skills (any):
- Python programming skills
- Scala
- Knowledge in Machine learning (ML)
- Experience with test-driven development (TDD)
- MongoDB
- Apache Spark
- Apache Hadoop
- Apache Solr
- Apache Kafka
- Cloud native applications
Education:
- Preferably an AA / undergraduate level degree in computer science, EE / Electronics from an accredited institute or equivalent level of professional experience and certifications from competent authority.
LTI values diversity and inclusion and is committed to the principles of Equal Employment Opportunity EEO - Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity.
by via developer jobs - Stack Overflow
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