Lead Software Engineer Java with AWS

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