Maintain end-to-end data pipelines using Python and SQL.
Migrate, optimize, and maintain workflow orchestration engines.
Build CI/CD infrastructure for data deployments using Terraform.
Develop automated tests for schema validation and data quality.
Collaborate with product developers on API backend and Redis caching.
Participate in incident response and build observability patterns.
PythonSQLSnowflake+5 more
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About Jellyfish
Jellyfish is transforming how engineering teams operate by providing an Engineering Management Platform. You will help engineering leaders connect their team's daily work directly to overarching business objectives. Their platform analyzes engineering data, then contextualizes it with business metrics. This shows the real-world impact of engineering efforts on bottom-line growth. Jellyfish helps companies track engineering work, communicate its value, and consistently deliver business results.
How We Work
Jellyfish cultivates an environment where you can thrive, focusing on growth and inclusion. The company values courage, innovation, and taking bold steps to impact business outcomes. They encourage open communication, valuing diverse perspectives, and doing what's right even when challenging. You will experience a culture that moves quickly with intent and forethought, making timely decisions even without perfect data. Jellyfish champions learning, teaching, and open knowledge sharing. The team is collaborative, with a strong focus on mutual support and continuous improvement. The pace of work is described as extremely fast by most employees. They are committed to diversity, equity, inclusion, and belonging, offering Employee Resource Groups like "Out at Jellyfish," "Jellyfish of Color," and "Women of Jellyfish."
Engineering at Jellyfish
Engineering at Jellyfish involves solving complex data challenges at scale. You will work with diverse data models from multiple issue tracking systems, processing millions of issues for hundreds of customers. The team designs robust systems for classifying and aggregating work efficiently, building data pipelines to manage high volumes, and applying Large Language Models (LLMs) effectively. A core focus is on integrating AI into the engineering workflow, measuring its impact on productivity, speed, and quality. You will help define how engineering productivity is measured in the age of AI. Engineers at Jellyfish deeply understand business problems to implement thoughtful solutions, rather than just fulfilling requirements.
Why Join Us
Shape the future of engineering management and AI integration in software development.
Work on complex, data-intensive challenges with significant impact on customer outcomes.
Join a highly effective team that rapidly delivers value through daily feature deployments to an AWS-hosted SaaS environment with automated CI/CD.
Contribute to a culture that fosters continuous learning, teaching, and professional development.
Enjoy high agency, influencing features and implementation within a supportive engineering organization.
Benefits & Perks
Flexible Time Off / Unlimited vacation policy.
Company equity.
Comprehensive Health, Dental, and Vision Insurance.
401(K) plan.
Generous parental leave.
Pet insurance.
Home-office stipend for remote employees.
Job training & conferences.
Fitness stipend ($150 annual reimbursement).
Mental health benefits, including access to the Calm app and in-house mental health first aiders.