Key skills
PythonGitJiraAgileCommunicationCollaboration
About this role
Jellyfish is transforming product development by enhancing collaboration among engineering teams. They are seeking a Backend Engineer who is passionate about performance and data, responsible for developing data ingestion processes and internal tools to support customer needs.
Responsibilities:
- Develop and improve upon data ingestion from external sources (e.g. Jira/Git) into Jellyfish
- Implement observability and metrics tooling
- Develop internal tools to enable teams to better support our customers
- Handle customer escalations related to data ingestion
- Design, plan and implement key features as part of a highly effective agile team
- Provide technical expertise within your team and across the organization
- Communicate effectively about project status, technical issues
- Participate in your team’s agile process and work to continually improve your team’s capabilities
- Provide support for production operations of the Jellyfish product
- Actively participate in a culture supportive of growth and inclusion on your team
Requirements:
- You know how to build and scale data ingestion pipelines
- You are a strong programmer with extensive Python experience
- You have familiarity with observability and profiling
- You are great at asking questions, figuring out what needs to be done, building consensus, and executing
- You consider both the needs of the user and the needs of the business when designing a solution
- You love learning new things and sharing knowledge with others
- You have strong communication skills, and enjoy working as part of a team
- You are eligible to work in the U.S. for any employer
- Located in EST or CST time zone
- Occasional travel may be required
- Applicants must be authorized to work for any employer in the US
- We are unable to sponsor or take over sponsorship of an employment visa at this time
- You have worked at a rapidly scaling startup before and loved it
- You bring experience and opinions about the different ways engineering teams can work and the tools they use