• Atuar no desenho, desenvolvimento e evolução de aplicações modernas, distribuídas, resilientes e escaláveis em ambiente cloud. • Ter papel estratégico nas decisões técnicas, atuando como referência para o time, garantindo qualidade arquitetural, boas práticas de engenharia de software, performance, segurança e confiabilidade das soluções.

• Desenvolver e evoluir microsserviços em Java com Spring Boot • Construir APIs REST de alta performance e escalabilidade • Atuar na definição e evolução da arquitetura backend • Trabalhar com integrações síncronas e assíncronas • Garantir qualidade técnica, segurança e boas práticas de código • Participar de refinamentos técnicos e decisões arquiteturais • Atuar em ambiente distribuído com múltiplos módulos e integrações

The team at Jellyfish is changing how product development happens, helping engineering teams learn how to work together and communicate more effectively. We're seeking a Senior Backend Engineer who's passionate about building robust data pipelines, integrating with third-party APIs, and working with large-scale data infrastructure. Ideally, you're performance-minded and have experience with modern ETL patterns, workflow orchestration engines, and building API clients. This is a great opportunity to be a member of an exceptional engineering organization with high agency: where you can help shape the features your team builds and how your team builds them. If this sounds exciting, we'd love to hear from you! What you'll do: - Build and maintain data pipelines for storage, transformation and export - Develop integrations with third-party tools (Jira, GitHub, GitLab, incident management tools, AI coding assistants, etc.) - Create and maintain API clients to ingest data from external services - Manage infrastructure as code using Terraform - Build workflow orchestration for near-real-time and batch data processing - Design and implement data export pipelines - Develop internal tooling and agentic workflows to accelerate internal development - Provide technical expertise within your team and across the organization - Communicate effectively about project status and technical issues About you: - You know how to build and scale data pipelines - You are a strong programmer with extensive Python experience - You have experience building and maintaining integrations with third-party APIs - You're comfortable with infrastructure as code (Terraform, CloudFormation, or similar) - You have familiarity with workflow orchestration tools (Prefect, Airflow, Dagster) - 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 - Located in EST or CST time zone Bonus points if: - You have worked at a rapidly scaling startup before and loved it - You have experience with Delta Lake and lakehouse architectures - You've built integrations with developer tools (Jira, GitHub, GitLab, CI/CD systems) - You have experience with AI/LLM tool integrations (Claude, Copilot, etc.) - You bring experience and opinions about the different ways engineering teams can work and the tools they use A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must. 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. Let’s talk about us! This is all about you, but you want to know a little about us. Jellyfish enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.

•Codificar a partir de especificações; •Planejar o próprio trabalho em nível de tarefa; •Reportar progresso do trabalho em nível de tarefa; •Compreensão de técnicas de inspeção de programa e de código.