Aditya Anand

Software Engineer

Bengaluru, Karnataka, India4 yrs 8 mos experience
Highly Stable

Key Highlights

  • Proven experience in building scalable cloud-native solutions.
  • Expertise in Java and SpringBoot for backend development.
  • Strong problem-solving skills with a focus on efficiency.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in cloud-native solutions and container orchestration.

Contact

Skills

Core Skills

JavaSpringbootKubernetesJavascript

Other Skills

AWS Essential Training for DevelopersAgile MethodologiesAlgorithmsAndroid DevelopmentAndroid StudioBASHBatch ProcessingC++Data ManagementData StructuresDistributed SystemsDockerDocumentationJUnitJenkins

About

Software Engineer with excellent analytical and problem solving skills coupled with 3 years of proven experience in building scalable and resilient solutions using technologies like Java, SpringBoot, REST Api, Docker including experience with Event Driven Systems. A self starter, result-oriented professional with strong sense of ownership and able to learn quickly and adapt to changing priorities.

Experience

Twilio

Software Engineer L2

Aug 2024Present · 1 yr 7 mos · India · Remote

JavaSpringBootJavaScriptNodeJsMySQLDocker+1

Oracle

Member Of Technical Staff, IC2

Jul 2021Aug 2024 · 3 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

  • Backend Developer Oracle (3 years)
  • Software Engineer with excellent problem solving skills and 3 years of proven experience building cloud native scalable and resilient solutions using technologies like Java, SpringBoot, Javascript, NodeJs, and MySQL. Proficient in container orchestration tech such as Docker and Kubernetes.
  • I am an astute result oriented professional with a knack of learning new technologies and keep evolving.
  • My key contributions to project include :
  • 1) Batch Job Processor :
  • Gave POC and architected the Batch Processor service which is a robust system designed to handle
  • large scale data imports efficiently.
  • The processor can handle up to 10k records per batch, ensuring seamless processing of large datasets.
  • This service was used internally by other teams to train AI models.
  • Established the Job Definition and scheduling parameters for Batch Job and integrated features like
  • specifying timing of job execution along with FCFS and recurring scheduling techniques.
  • Partitioned our data into sets by cleverly using application parameters to route the batch job to a particular data set, this strategy reduced our execution time by an impressive 80%.
  • Implemented explicit Cache Invalidation strategy when data being imported is from a new module.
  • 2) Engineering an on-premise BASH script during my on-call production support to rotate and repair failing pods in Kubernetes cluster, the script was widely accept by fellow devs and played a crucial role in minimising customer impact and preventing loss of business.
  • 3) Managed the migration of the Metadata Audit Framework from a Command Line Utility to a JavaScript-based solution, enhancing platform compatibility and performance. Created comprehensive documentation outlining the requirements and conducted regular meetings with monolith consumers to ensure timely and satisfactory delivery of the new service.

Education

Motilal Nehru National Institute Of Technology

Bachelor's degree — Information Technology

Jan 2017Jan 2021

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