Abhishek  ·  Senior AWS DevOps Engineer  ·  5+ yrs

Mid-Level
5+ years experienceremote
Available within 48 hrs

Proof of scale

50% reduction in deployment time
40% reduction in deployment errors
25-30% reduction in operational expenses
50% reduction in deployment time40% reduction in deployment errors25-30% reduction in operational expenses
AWS Certified Solutions Architect · Amazon Web Services

About Abhishek

Abhishek is a DevOps Engineer with 4+ years of experience in designing and implementing scalable cloud infrastructure and CI/CD pipelines. He has a strong background in AWS services and DevOps tools, achieving significant reductions in deployment time and operational expenses.

5+ years of commercial experience in

Cybersecurity

Skills(32)

AWSTerraformJenkinsDockerKubernetesCloudFormationAWS LambdaAPI GatewayAWS S3AWS CloudWatchELK StackGitHub ActionsGrafanaApache KafkaAWS KinesisAWS ECSAWS EKSAWS KMSSSL/TLSSpring BootAWS (general)AWS CloudFrontAWS Lifecycle PoliciesAWS Well-Architected FrameworkAWS BudgetsReserved InstancesAWS Systems Manager (SSM)AWS OrganizationsService Control Policies (SCPs)AWS ConfigAWS Route 53AWS Backup

Why hire Abhishek?

Production deploy authorityMentored team on AWS best practices

Achieved a 50% reduction in deployment time through automation of AWS resource provisioning.

Implemented CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment errors by 40%.

Designed a scalable serverless architecture with AWS Lambda and API Gateway, enhancing application performance.

Reduced deployment time by 50%

Reduced deployment errors by 40%

Reduced operational expenses by 30%

Project highlights(6)

Cloud Infrastructure Automation – AWS System Administrator

Overview: This project focused on automating cloud infrastructure provisioning and managing serverless applications. Responsibilities: Automated AWS resource provisioning using CloudFormation and Terraform, reducing deployment time by 50%. Designed and implemented a scalable serverless architecture with AWS Lambda, API Gateway, and S3. Configured monitoring and alerting with CloudWatch and ELK Stack for real-time issue detection. Enhanced security by implementing role-based access control with IAM and AWS Secrets Manager.

AWSCloudFormationTerraformAWS LambdaAPI GatewayAWS S3AWS CloudWatchELK Stack

Key outcomes:

  • Reduced deployment time by 50%

  • Conducted system performance tuning, achieving a 30% improvement in response times.

CI/CD Pipeline Implementation – AWS System Administrator

Overview: This project involved implementing robust CI/CD pipelines to automate deployment workflows and enhance application reliability. Responsibilities: Implemented a CI/CD pipeline using Jenkins and GitHub Actions for automated deployment workflows. Developed reusable YAML scripts for GitHub workflows, reducing deployment errors. Set up Dockerized environments to test and deploy applications in Kubernetes clusters. Integrated CloudWatch and Grafana for real-time monitoring of deployments and application health.

JenkinsGitHub ActionsDockerKubernetesAWS CloudWatchGrafana

Key outcomes:

  • Reduced deployment errors by 40% through reusable YAML scripts.

Real-Time Data Processing System – Cloud Solutions Engineer

  • Designed and implemented a real-time data ingestion and processing pipeline for analyzing data streams.
  • Designed and implemented a data ingestion pipeline using Apache Kafka and AWS Kinesis.
  • Deployed microservices on AWS ECS and AWS EKS for processing and analyzing data streams.
  • Enhanced data security by encrypting data at rest with AWS KMS and in transit using SSL/TLS.
  • Created AWS Lambda functions for ETL workflows.
  • Built Grafana dashboards to visualize data processing metrics.
Apache KafkaAWS KinesisAWS ECSAWS EKSAWS KMSSSL/TLSAWS LambdaGrafana

Key outcomes:

  • Reduced data processing time by 25% using Lambda functions.

Cloud-Native Application Migration – Cloud Solutions Engineer

  • Migrated a monolithic application to a microservices architecture within a cloud-native AWS environment.
  • Migrated a Spring Boot monolithic application to a microservices architecture using AWS.
  • Designed a centralized logging system with ELK Stack, reducing debugging time by 40%.
  • Implemented AWS CloudFront to optimize content delivery and reduce latency.
  • Automated backup and disaster recovery processes using AWS S3 and Lifecycle Policies.
  • Conducted comprehensive system audits for AWS Well-Architected Framework compliance.
Spring BootAWS (general)ELK StackAWS CloudFrontAWS S3AWS Lifecycle PoliciesAWS Well-Architected Framework

Key outcomes:

  • Reduced debugging time by 40% with centralized logging.

  • Optimized content delivery and reduced latency by 30% using AWS CloudFront.

Enterprise-Wide Cloud Management and Optimization – AWS System Administrator

  • Managed and optimized an enterprise-wide hybrid cloud environment, focusing on cost, patch management, and disaster recovery.
  • Designed and managed a hybrid cloud environment, integrating on-premise systems with AWS.
  • Optimized cost management using AWS Budgets and Reserved Instances.
  • Automated patch management and server updates using AWS Systems Manager (SSM).
  • Implemented multi-region disaster recovery solutions with a Recovery Point Objective (RPO) of less than 10 minutes.
  • Delivered ongoing training to teams on AWS best practices.
AWS (general)AWS BudgetsReserved InstancesAWS Systems Manager (SSM)

Key outcomes:

  • Reduced cloud expenses by 25%.

  • Achieved a Recovery Point Objective (RPO) of less than 10 minutes.

Industry experience

Cybersecurity

2 projects
  • •Cloud Infrastructure Automation— AWS System AdministratorAWS · CloudFormation · Terraform · AWS Lambda +4
  • •Real-Time Data Processing System— Cloud Solutions EngineerApache Kafka · AWS Kinesis · AWS ECS · AWS EKS +4

Ready to work with Abhishek?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience5+ years
Work moderemote
Starting from₹1.7 L/mo
Direct hirePossible
Start within48 hours
From₹1.7 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysGreenfield architectSystem ownerMentor / leads juniorsRecognised OSS contributor
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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Abhishek

AWS developer