Related skills
java docker aws mongodb redis๐ Description
- Design and deliver scalable backend capabilities for enterprise workflows.
- Apply AI-first engineering to prototype and deliver solutions quickly.
- Use AI-augmented workflows and automation to boost quality and reliability.
- Support progressive delivery, controlled rollouts, and production stability.
- Collaborate with product, SRE, QA, frontend, mobile, and cross-functional teams.
- Foster engineering excellence via knowledge sharing, documentation, and ownership.
๐ฏ Requirements
- 5+ years building backend apps and enterprise software.
- Strong Java, Spring Boot, REST APIs, Maven, and distributed backends.
- Experience with AI tooling (GitHub Copilot, Codex, Windsurf, etc.).
- Cloud-native apps on AWS; Docker, Kubernetes, Helm, microservices.
- Familiar with MongoDB, Redis, S3, DynamoDB, and real-time patterns.
- CI/CD pipelines with GitLab CI, Argo CD; feature flags; Split.io.
๐ Benefits
- Flexible schedules, personalized training, and a purpose-driven career path.
- Health and term insurance with rewards and recognition.
- Supportive culture with learning from mistakes.
- Dynamic, fast-paced environment with growth opportunities.
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