Software Development Life Cycle, Coding, Debugging, Agile Methodologies, System Integration, Testing, Modern Development Frameworks, Manufacturing Engineering MES

Software Engineering, Scripting, Devops, Splunk, Fmea, SRE, self-serve internal developer platforms, shared libraries, blue green rollouts, Chargeback, right-sizing, cloud security engineering, infrastructure platform engineering, progressive delivery practices, feature-flag-gated releases, resource tagging, log data volume hygiene, cloud infrastructure cost management, Air, game days, enterprise Kubernetes, observability stacks, IKS, automation tooling, canary deployments, chaos engineering

Python, Sql, Microservices, DevSecOps, Automated Testing, Infrastructure as code, Modern software engineering practices, Event-driven architecture, Observability, Generative AI, Cloud-native solutions on AWS, AI-enabled solutions, API-first design

Software Development Life Cycle, Agile Methodologies, AWS, Testing, System Design, Application Development, Code Review, Application Resiliency, cloud native experience, AI-assisted software development tools, Security, operational stability, test acceleration, Troubleshooting, CI/CD, software engineering concepts

Java, multi-threading, Concurrent Programming, Flows, Kotlin, Restful Apis, MVVM architecture, LiveData, Coroutines, Methodologies, Jetpack Compose, best practices, performance optimization, Room, software engineering techniques

containerization , Google Cloud Platform (GCP, Java, Sql, Reactjs, Kafka, System Design, BigQuery, Kotlin, Spring Boot, Microservices, Design Patterns, Apache Spark, Distributed Systems, Software Design, Python, Kubernetes, Algorithms, Docker, Apis, data structures, AI-assisted development tools, Airflow, cloud-native platforms, engineering automation, DevOps practices, CI/CD pipelines, Cloud Composer, Infrastructure as Code, NoSQL databases

Databases, Distributed Systems, Apis, Backend Engineering, Software Architecture, System Design, Scalability, Cloud Infrastructure, Python, AWS