
Lead Java Developer
4 days ago
We are seeking a visionary leader to guide and mentor our team and organization on Java microservice development and best practices.
- To be successful in this role, you will need to build a capable team through effective headcount planning, hiring, onboarding, retention, and continuous improvement.
- You will motivate and influence teams to buy into the team vision and quarterly roadmap.
- This role involves owning features developed by your team in each phase of a project - design, implementation, code review, QA, and deployment to production.
- Develop expertise in Java, DevOps, and microservice development.
- Ensure services are built to industry best practices, including observability, architectural patterns, and inter-team dependency mechanisms.
- Work closely with architects and other teams across the organization to break down existing monoliths into well-defined microservices with clean boundaries and clear API contracts.
- Architect and write code to implement high-quality, scalable, future-proof services that support long-term vision and strategy.
- Focusing on production readiness, including testing, monitoring, deployment, documentation, and proactive troubleshooting.
The ideal candidate will have:
- 10+ years of experience in engineering, preferably with a mix of start-up and large-company experience.
- eComm domain expertise is a bonus.
- Hands-on experience driving software transformations within high-growth environments at scale.
- Mastery in cross-functional consensus building and influencing without given authority.
- Experience in architecting and building large-scale, cloud-based, and event-driven systems across various projects.
- A successful background in designing production systems at scale, including fault tolerance, reliability, performance, and security.
- Excellent communication skills with demonstrated experience driving teams forward and ability to influence results.
Technical Requirements:
- GCP target cloud platform, experience with AWS/Azure at scale.
- Distributed microservice architectures with well-architected domain boundaries.
- High-volume async messaging architectures.
- Large-scale relational and NoSQL style data stores.
- Deep understanding of data processing and data pipelines.
- Common open source platforms, tools, and frameworks, such as Kafka, Kubernetes, Containerization, Java microservices, GraphQL APIs, Aerospike, etc.
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