We’re looking for a Backend Engineer (Java) who thrives in fast-moving, agile teams and enjoys working across distributed systems, third-party integrations, and cloud infrastructure. This role is ideal for someone who is hands-on, solutions-oriented, and comfortable navigating ambiguity. You’ll help us build robust, scalable backend services that power critical parts of our platform.
Responsibilities
Design, develop, and maintain backend systems and APIs using Java (Spring Boot or equivalent).
Build and integrate with third-party APIs and services.
Develop and deploy distributed systems in cloud environments (AWS, GCP, or Azure).
-Own the end-to-end lifecycle of backend features from design through to deployment and support.
Debug and resolve production issues across multiple services and layers of the stack
Collaborate closely with other engineers, product managers, and external partners in an agile environment.
COLLABORATION
Work closely with product, engineering, and customer success teams to understand requirements
Collaborate closely with other engineers, product managers, and external partners in an agile environment.
Communicate technical concepts and progress effectively to both technical and non-technical stakeholders.
Collaborate on improving team processes, coding standards, and best practices.
2–4 years of experience in backend or software engineering roles, with a strong focus on Java.
Hands-on experience with Java frameworks (e.g., Spring Boot) for building backend services and APIs.
Proficient in working with both SQL and NoSQL databases; strong understanding of schema design, performance tuning, and data integrity.
Solid understanding of distributed systems and service-oriented architecture.
Experience with third-party API integrations (REST, OAuth2, webhooks, etc.).
Experience deploying and maintaining applications in cloud environments such as AWS, GCP, or Azure.
Skilled at debugging and troubleshooting complex, distributed production systems.
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Experience with CI/CD pipelines and modern DevOps practices.
Strong communication and collaboration skills; proactive and able to navigate loosely defined problems.
Bonus: Experience with messaging systems like Kafka or RabbitMQ, infrastructure-as-code tools (Terraform, CloudFormation), and observability tools (e.g., Prometheus, ELK, Grafana).
