Lead Software Developer Java with AWS Cloud

Role & responsibilities

• Take ownership and accountability for the technology solutions and deliverables of the team
• Provide technology thought leadership and guide the team in making informed decisions
• Remove obstacles related to technology throughout the project lifecycle
• Collaborate with architects and the CTO organization on governance and best practices
• Address functional and non-functional requirements while building high-quality solutions
• Contribute to and enhance designs, architectures, and frameworks
• Oversee and ensure the quality of data models, API contracts, architecture, frameworks, and code
• Assist with effort estimation, planning, priority setting, and identifying dependencies
• Provide leadership and foster collaboration across multiple teams and stakeholders
• Serve as a strong technologist with hands-on knowledge of AWS Cloud Native microservices architecture

Preferred candidate profile

• 8+ years of experience designing and developing front-end applications, microservices, and REST APIs
• Background in Java, Node.js, and SpringBoot technologies, including APIs and microservices
• Expertise in AWS Cloud services such as ECS, Lambda, DynamoDB, SQS, and Cloudwatch
• Knowledge of databases like DynamoDB and Aurora
• Skills in agile methodology and API testing tools
• Understanding of monitoring tools like Splunk
• Client-facing and strong communicative abilities with presentation skills
• Attention to detail and capacity to work in ambiguity while maintaining structure
• Team leadership with experience collaborating across teams like Vanguard Database, CTO organization, and API Economy initiatives
• Competency in removing technical fuzziness and delivering clear solutions

Nice to have

• Familiarity with Python programming
• Capability to work with data pipelines in a cloud-native environment
• Showcase of building solutions aligning business acumen with API economy

Technologies

• Backend Java, Node.js, Spring Boot, Microservices, APIs
• Cloud – AWS (ECS, Lambda, SQS, Cloudwatch and other frequently used AWS services)
• Database – DynamoDB, Aurora
• Other language – Python (Optional)
• Monitoring – Splunk
• Testing – API Testing Tools