Software Engineer
Loggly
(San Francisco, California)Loggly is the world’s most popular cloud-based log management solution, used by more than 9,000 customers to effortlessly spot problems in real-time, easily pinpoint root causes and resolve operational issues faster to ensure application success. Our simple to scale and consume log management service is designed around the needs of modern DevOps teams and purposely built to dramatically simplify the chore of log management for start-ups through Fortune 500 organizations.
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Loggly‘s development team is responsible for designing and delivering the world’s most popular cloud-based log management solution. As a key engineer on this team, you will collaborate with engineers, product management, and the operations team to develop innovative features on top of our big data stack. You will have full lifecycle responsibilities for key product functionality, spanning design and development of features.
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You will be expected to create robust, scalable, multi-threaded, and distributed systems that operate 24x7x365. This is an exciting opportunity to work in a highly innovative environment with new technologies as we continue to evolve our products and extend our leading market position. Our culture is fast-paced, performance-oriented, open and collegial, and lots of fun. This is a full-time position based in San Francisco, CA.
- 5+ years of relevant experience in building large scale distributed software. SaaS and big data experience helpful
- Experience on working with a comparable scale system
- Experience with enterprise software helpful
- Strong problem solving and analytical skills
- Extensive server-side software development skills in Java
- Demonstrated experience in authoring multi-threaded, high performance code
- Excellent understanding of data structures, algorithms, software engineering design pattern and principles
- Strong experience with multi-tier service oriented architecture, including knowledge of Apache, Tomcat and web services
- Strong experience with building REST API, JSON, HTTP, RDBMS, Python
- Experience with Kafka, Elasticsearch and Amazon AWS platform is major plus
- Extensive knowledge of Unix/Linux environment
- Extensive experience building unit test and debugging systems
- Ability to work in a team environment
- Excellent verbal and written communications
Working Conditions
Data Platform
Questions
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- Team Player
- Algorithms
- APIs
- AWS
- Data Structures
- Debugging
- Excellent Analytical and Problem-Solving
- Java
- Linux/Unix
- Python
- Relational Databases
- Software Development
- Strong Oral and Written Communication
- Web Services
- Amazon Web Services
- Apache Kafka
- Apache Tomcat
- ElasticSearch
- JSON
- Multithreaded Programming
- REST
- SaaS
- Unit Testing
- Software Engineering
- Service Oriented Architecture
- HTTP
- Distributed Systems
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