- Work with one of the most prominent product companies to define features, build RFCs, plan & execute projects- Work on Planet scale setups of GitHub, Jfrog Artifactory & Jenkins based CICD tooling- Maintain and manage On-premise and hybrid cloud setups leveraging AWS- Enhance observability on the setups, improve visibility into attacks, incidents and reduce MTTD- Leverage Puppet for setting up the initial tooling on the baremetal hosts- Create and utilise Ansible scripts for automating critical tasks like upgrades and patching - Utilise Terraform & Terragrunt for infra management on AWS - Enhance observability using modern tools like Prometheus, Telegraf, Grafana & Splunk- Build tooling to reduce SRE toil and automate what one can using NodeJS, Python and Go- Mentor & Lead Operations team to maintain excellent tech support quality for the products maintained by us- Assist in quarterly and annual planning of high level goals and time estimates for the same

Code stack: GoLang, Python, TerraformCloud: AWSResponsibilities:- Lead open-source observability initiatives for Segment Metrics platform - Build observability data pipelines to simplify handling of telemetry data- Rearchitect metrics data pipeline to make it modular and easy to fan out data- Handle cost-optimization for Datadog APM- Keep the infrastructure upgraded and secure- Design tooling to keep cloud costs optimised and flag wastage of infrastructure resources- Rearchitect EKS clusters to maintain high availability and data speeds while keeps costs optimum - Participate in ECS to EKS migration for multiple ECS clusters - Build standardised Terraform code and reusable modules - Migrate observability stacks for proprietory stack to open source and leverage open telemetry standards for the same- Participate in new research based projects to make Kubernetes for secure and reliable

Code stack: GoLang, Python, TerraformCloud: AWSResponsibilities:- Lead open-source observability initiatives for Segment Metrics platform - Build observability data pipelines to simplify handling of telemetry data- Rearchitect metrics data pipeline to make it modular and easy to fan out data- Handle cost-optimization for Datadog APM- Keep the infrastructure upgraded and secure- Design tooling to keep cloud costs optimised and flag wastage of infrastructure resources- Rearchitect EKS clusters to maintain high availability and data speeds while keeps costs optimum - Participate in ECS to EKS migration for multiple ECS clusters - Build standardised Terraform code and reusable modules - Migrate observability stacks for proprietory stack to open source and leverage open telemetry standards for the same- Participate in new research based projects to make Kubernetes for secure and reliable

Engaged as a Cloud platform engineerResponsibilities:Develop microservices and applications for a PETABYTE scale Cloud data migrationDevelop and maintain applications and utilities using Java Spring, Python, Docker, Kubernetes and GitArchitect easily scalable and cost-optimised solutions for Cloud platforms Lead team of consultants in development of assigned modulesParticipate and plan in critical design decision for scalable data management platforms Review and improve architectures from security and cost aspectsManage deployment servers for the assigned modules.Automate code deployment and installation of supporting tools for Virtual machinesAdminister AWS EKS provisioning, scaling and security.Utilise Pulumi, Cloudformation and Terraform for dynamic infrastructure creation - as and where needed. Setup application monitoring for cloud applications and onprem apps

Role:Lead - Backend Development (AWS, GCP & Azure Cloud application)Responsibilities:- Develop Java Spring Boot APIs for the Angular 8 Frontend- Leverage Hibernate, Spring Security, Spring JPA, Spring Data, Lombok as well as other libraries for faster and optimized solution- Lead the project execution and planning for the feature release- Work with Amazon Web Services(AWS) to setup infrastructure for deployment- Utilize AWS SDK for Programmatically managing Elastic cloud compute resources- Leverage AWS Modules like Cloudwatch, Lambda Functions, ECS, EC2 to optimize resource costs- Build dynamic AWS IAM role assignment logics to enable secure execution of tasks- Build Docker images for variety of machine learning libraries- Integrate multiple services like AWS Polly, AWS Alexa, AWS S3 and AWS RDS with the dynamic linux based instances- Build Amazon Machine Images using Packer scripts- Understand various machine learning and parallel computing libraries like AWS Parallel Cluster, MLFlow, Airflow, Jupyter Lab, RocketML and others- Build AWS Cloud Formation templates to enable simplified deployment of AWS resources across the environments- Work with Microsoft Azure to enable Azure Cloud customers utilize the application- Work with Azure Resource Templates, Azure VM, Azure Scalesets, Azure DNS and others to accomplish dynamic infrastructure instantiation- Understand variety of network configurations and issues being encountered and fix them- Manage DevOps using AWS Code Pipeline & Github for the organization as well as on the customer front- Create Postman test suites for automated tests in the CI/CD pipeline

Responsibilities: Lead a team of developers to manage the flagship product of the organizationSuggest and lay down architecture for enhancements in the product to reduce business effortDevelop NodeJS based backend services for the chatbotDevelop and Guide associates in the development of Angular & React based frontend dashboardsLeverage IBM Watson cloud services to build a smart multi-lingual chatbotEnable self-learning in Chatbot to reduce the training effortsWork with Google Cloud services to develop a communicating bot for multiple channelsWork with hardware like Google Home and Amazon Dot to integrate chatbot as a serviceLead team of Interns and Technical consultants to develop codeDevelop REST web services for managing the forms creation and data management requestsDevelop LDAP based authentication and authorization systemDevelop OSGi services hooks, adapters and management codeEnhance the developed functionalities for better performanceConduct technical interviews for various technical and BA roles

Tools & Technologies:Oracle ADF FrameworkOracle JDeveloper & SQL DeveloperJava EEJSF 1.2Role & Responsibilities:Develop & maintain features in Oracle HCM Cloud based web - applicationsResolve the logged issues against the productCommunicate with clients to understand the issuesWorking under strict deadlines to meet the agreed SLA

Reason for leaving: Better work-life balance after working in a project demanding 12-14 work hours a day for over 12 monthsTools & Technologies:Spring Core, AOP & MVCHibernate Framework ZK FrameworkEclipse IDESquirell SQL ClientJBoss EAP 6.0 Application serverRole & Responsibilities:Develop Web application modules for client portalsDevelop backend flows for file management and organisation hierarchy managementManage team of interns, B.A and TraineesGrooming of candidates in Framework & Application understandingEnhance core framework functionalities as per client requirementsDocument the development tasks for future guidance

Tools & Technologies:EclipseApache Tomcat 8.0Spring MVC & Hibernate frameworkPHP 5.0Roles & Responsibities:Java & PHP based Website Development and EnhancementProvide online training to foreign clientsRequirement analysis & Documentation