Amogha G.
Senior Software Engineer
- Role
- Senior Software Engineer at Vmware Tanzu Labs
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Amogha G.
Software engineer with 10+ years of experience in designing and building scalable…
Experience
Senior Software Engineer
Jul 2018 — Present · Dallas, TX, US
Modernized legacy systems to highly scalable, decoupled micro-services, often using event driven architecture while incrementally delivering value, mitigating risk associated with large releases- Built cloud-native apps by adopting modern software development practices like externalized configuration, observability, distributed tracing, monitoring to improve security and performance- Facilitated Event Storming sessions and workshops to align product, business, engineering teams, establishing a ubiquitous language and identifying gaps in understanding/implementation, reducing the planning time by 60%- Led teams in adopting practices like applying INVEST to user stories, TDD, git branching strategies, and automated CI/CD pipelines increasing release frequency from once every few months to once a week/on-demand- Developed both back-end components and front-end, using technologies like Spring Boot, Jenkins, Kafka, React, CDN (Akmai), OpenTelemetry, OpenApi to deliver value to users- Collaborated with Product Managers and Product Designers to decompose complex requirements, assess technical complexity, and translate them to user stories, reducing ambiguity in stories and increasing planning efficiency- Mentored engineers on coding practices and patterns by facilitating coding katas, developer sessions, and book clubs leading to consistent patterns, improved code quality, resulting in faster development cycles- Facilitated a Value Stream Mapping exercise across multiple teams to identify bottlenecks in the current process and provided actionable recommendations to improve efficiency and reduce toil/unplanned effort- Built a read-only MCP(MySQL) server and a Spring AI chat bot application that uses the server, LLM, and prompt stuffing to help users analyze custom data by asking questions
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