Site Reliability Engineer (SRE) with 9 years of experience in delivering high-performance solutions using technologies such as Kubernetes, Docker, .NET Core, .NET, SQL, Azure PaaS, Azure IaaS, and CI/CD with Jenkins and Azure Pipelines. Proficient in Elastic Search, GraphQL, application monitoring tools (AppDynamics, Azure Monitor, Grafana, Dynatrace, Kibana), Web APIs, microservices, Entity Framework Core, and jQuery with TypeScript,NoSQL.
A competent engineering professional with a solid foundation in engineering project management and design. Proven track record in performing load and cost calculations while establishing clear parameters. Detail-oriented with a strong understanding of software applications.
Kubernetes
Deployed for Industrial IOT automation
Built product feature lists with stakeholders.
Advised management, business and technical
staff on solutions using specific domains or
technology.
Designed support structure needed to confirm
scalable application rollouts.
Tools and technologies used are
Development
.NET,.NET CORE,.Net core built
microservices,WebAPIS, MS SQL , SQL Azure. Docker
, Graph QL,ML
DevOPS
CI/CD
Code Analysis
WIZ, Apiro , Sonar Qube, Coverity,Mend,
WhiteSource etc.
Azure PAAS cloud deployment
App Service, Azure functions, Logic apps, Azure
service bus, Kubernetes(AKS)
Azure IAAS
VMs, Services account, Scaling, configurations etc
Event logging
Elastic Search based Kibana (logz .io) event,
Graylog using, Core Logging framework LOG4NET,
AppDynamics, Dynatrace
Version Control
git
Methodology
SAFE Agile, TDD approach(XUNIT,NUNIT etc)
Waterfall
Responsible for handling complex tasks , works basically in framework team. Members of this team responsible for building code that satisfies 90% generic need of solutions. Developed such code which is highly maintainable and scalable.
As part of R&D , worked on two POCs that are IOT based
1. TFS automation for build and deployments using Arduino.
Purpose of this project, metadata is published as SMS on various devices like cellphone, smartwatches so that have idea what going on running pipeline and take decision accordingly.
2. Other one is simple and based on push builds on command using IOT devices.
Used sim instead SMPP protocol.
70-533 Implementing Microsoft Azure Infrastructure Solutions
PG CDAC