Ankit Nanglia

Senior Software Engineer

Bengaluru, Karnataka, India10 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Ten years of experience in distributed systems and DevOps.
Proven track record in cost reduction and performance improvement.
Hands-on expertise in AWS and high-performance systems.

Stackforce AI infers this person is a Cloud Computing and Data Analytics expert with a strong focus on distributed systems.

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Skills

Core Skills

AwsDistributed SystemsJavaMonitoringBig Data

Other Skills

Apache KafkaBig Data AnalyticsBloggerBloggingCC++CassandraCore JavaCost ReductionDevOpsDockerGrafanaHigh AvailabilityKafkaKubernetes

About

Have around ten years of experience in working with distributed systems and DevOps tools. During the last ten years of work, I have been trained and working on distributed systems and have hands-on experience with REST API design, end-to-end development, high-performance systems, troubleshooting systems in production, AWS, etc. My core skills include technologies like Java, Scala, Go, Docker, Kubernetes, Kafka, Spring, etc.

Experience

Rubrik, inc.

Senior Software Engineer

Jan 2022 – Present · 4 yrs 2 mos · Bangalore Urban, Karnataka, India

Arcesium

Technical Lead

Sep 2020 – Jan 2022 · 1 yr 4 mos · Bengaluru, Karnataka, India

1. Collaborate on the design and implement the on-premise model of execution for the existing services earlier hosted on AWS.
2. Reduce the overall cost associated with hosting the services on AWS (overall hosting cost reduced by 8% while improving the performance by 15%).
3. Identity and fix issues with the current execution/ resource allocation model to avoid frequent incidents in the production environment.
4. Collaborate on the design and implement the services to work in active-active mode to achieve high availability and scalability.

AWSCost ReductionHigh AvailabilityScalabilityResource AllocationDistributed Systems

Cognitree

Software Engineer

Jun 2015 – Sep 2020 · 5 yrs 3 mos · Bengaluru Area, India

1. Develop and test Java SDK to create and manage security groups for applications launched in the AWS cloud.
2. Develop and test authorization framework while accessing REST API resources.
3. Setup monitoring and alerts for Java-based application infrastructure using Prometheus and Grafana.
4. Explore Docker and Kubernetes to build the developer and QA environments.
5. Implement big data analytics stack deployment on dev environments on local machines using Kubernetes and Docker.
6. API based management application for deploying and managing applications on remote edge routers from a centralized application management application in Java using Spring, Vert.x.
7. Collaborate on the design and development of Cognitree’s open-source distributed scheduler framework - Kronos (https://github.com/cognitree/kronos) to execute complex data workflows in Java using Kafka as the message bus.

JavaREST APIMonitoringDockerKubernetesBig Data+3