Aditya Kumar

SRE (Site Reliability Engineer)

India6 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building scalable infrastructure using Kubernetes and Docker.
  • Proficient in AWS cloud development and DevOps tools.
  • Experience in financial services with a focus on innovative solutions.
Stackforce AI infers this person is a DevOps Engineer specializing in SaaS and Fintech with extensive cloud infrastructure expertise.

Contact

Skills

Core Skills

DevopsCloud Development

Other Skills

AIAPI DevelopmentAPI GatewayAWSAzure cognitiveCC++CERTIFIED ETHICAL HACKERCISCO CERTIFIED NETWORK ASSOCIATEChatbot DesignChatbot DevelopmentChatbotsCloud ComputingCloudfrontCustomer Service

About

Experienced DevOps Engineer with a demonstrated history of working in the financial services industry. Skilled in AWS cloud Development , Jenkins , Terraform , Packer , Lambda , and many more DevOps tools. Providing logging and monitoring solutions using ELK,splunk and other tools. Creating scalable infrastructure using Kubernetes,Docker,EMR,and other tools. Know me @ www.knowaditya.co.in

Experience

Jpmorganchase

Associate Vice President | SRE

Feb 2025Present · 1 yr 1 mo

Apt research private limited

DevOps Engineer

Aug 2023Feb 2025 · 1 yr 6 mos · Delhi, India · Hybrid

Cactus communications

DevOps Engineer

May 2021Aug 2023 · 2 yrs 3 mos · Mumbai, Maharashtra, India · Hybrid

  • Worked on microservices architecture where mostly everything is containerised.
  • Tech Stack :- Terraform,Jenkins,AWS,Python, Kubernetes, GitHub, Grafana,Datadog, Elasticsearch and many more
  • Worked Primarily on building and productionizing Paperpal Preflight( Scientific Writer Tool) ,Paperpal Edit and Unsilo Products (Classify,Evaluate, Insights, MSE)
TerraformJenkinsAWSPythonKubernetesGitHub+5

Morningstar

2 roles

DevOps Engineer

Jan 2021May 2021 · 4 mos · Navi Mumbai

Associate DevOps Engineer

Jul 2019Jan 2021 · 1 yr 6 mos · Navi Mumbai

  • Quant Research
  • Worked on productionizing ML model named Morningstar Asset Management Dashboard deploying various models with different parameters and attributes using single Jenkins Pipeline using AWS services like EC2,Cloudwatch,Code Deploy and many more Code services.
  • Replatfroming and introducing hybrid AWS architecture for Morningstar Equity Comparables which provides crosss sectional data for comapany similarity.The hybrid AWS architecture includes connecting OnPrem server and DB.This includes using AWS Datapipeline for EMR and dependent scale application.
  • Creatiing a complete end to end architecture plan for Morningstar Chart Pack API which provides beautiful graphs and ppts using AWS ECS Fargate and Athena.
  • NLP and AI initiative using AWS Lex and LUIS.ai for running and leveraging use of Jupyter Notebooks for analysts which includes AWS service like EC2,Lambda,API Gateway and Cloudfront and bringing up a Lex Chatbot to Microsoft Teams.
  • Debugging models which use KL Divergence,Floyd Warshall,LDA Topic and much more is just like day to day job!!
  • Various small initiatives covers research over snappydata for a possible replacement to AWS EMR cluster environment and is much more faster than the normal spark environment.
AWSJenkinsNLPAIEC2Lambda+4

To the new

DevOps Trainee

Feb 2019Jun 2019 · 4 mos · Noida Area, India

Education

BITS Pilani Work Integrated Learning Programmes

Master of Technology - MTech — Computing System and Infrastructure

Jul 2021Jul 2023

APJ Abdul Kalam Technological University

Bachelor of Technology — CSE

Jan 2015Jan 2019

De Paul School

Intermediate — Science

Jan 2013Jan 2015

De Paul School

High School

Jan 2011Jan 2013

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