AWS DevOps Engineer

48 minutes ago


Chennai, Tamil Nadu, India h3 Technologies, LLC Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Experience – 10+ Years

Designation name: Cloud Engineer III

Location – Chennai.

Shift Timings – 1.30 PM to 10.30 PM – IST – UK based Shift timings

Looking for Immediate Joiners only

Job Purpose

AWS Engineer with strong technical leadership, hands-on AWS cloud architecture expertise, and a DevOps mindset. The ideal candidate will have deep knowledge of AWS services, infrastructure automation, networking, and security, as well as a proven track record of customer satisfaction and cloud deployment success. This role requires excellent communication, leadership, and problem-solving skills in a dynamic, fast-paced environment.


Essential Functions

· 40% – Code and develop continuous automation/delivery processes and tools

· 25% – Design and build a hybrid cloud product to support a Managed Services model

· 20% – Solution design and architecture in support of customer assessments and sales engagements

· 15% – Train and educate staff; pursue self-training, professional growth, and continued education


Certifications

· AWS Certified Solutions Architect – Professional

· AWS Certified DevOps Engineer – Professional

· HashiCorp Terraform Associate


Experience

· 8+ years of overall software engineering experience

· 5 years focused on AWS (cloud application development and deployment)


Special Knowledge, Skills, and Abilities

Cloud & DevOps

· 5+ years developing and deploying cloud applications with seamless integration, scalability, and performance tuning

· Strong DevOps mindset with a customer-first approach

· Proficiency with Git (Bitbucket), code reviews, branching, tagging, pipelines, and CI/CD (Jenkins)

AWS Architecture & Automation

· Active participation in AWS architecture planning (data perimeter, SCPs, legacy account migration, tagging/IAM strategies)

· Automated creation of AWS accounts with base infrastructure (IAM policies, S3 settings, VPC Flow Logs, AWS Config, tagging, EC2 DNS records, backups, metrics onboarding) while ensuring policy compliance

AWS Services

· Networking & Content Delivery: VPC, API Gateway, CloudFront, Route 53, Direct Connect, Transit Gateway, Elastic Load Balancing (ELB)

· Compute: EC2, EC2 Auto Scaling, Lambda

· Security & Compliance: IAM, GuardDuty, Inspector, Certificate Manager, Firewall Manager, Key Management Service

· Databases: Aurora, DynamoDB, RDS, Redshift (SQL & NoSQL)

· Storage: S3, EBS

· Analytics: Glue, Athena, Kinesis

· Application Integration: Step Functions, EventBridge, SNS, SQS

· Cloud Financial Management: Cost Explorer, Budgets, Cost & Usage Reports

· Containers: EKS, ECS, Fargate

· Management & Governance: Organizations, CloudFormation, CloudTrail, CloudWatch, Service Catalog, CLI, Config, Systems Manager

Infrastructure as Code & Tooling

· Advanced Terraform and Terragrunt for scalable infrastructure automation

· Logging and monitoring with Splunk and New Relic

· Security/risk mitigation tools such as Prisma and Wiz

· Cloud networking tools such as Aviatrix

Development & Programming

· Expert-level Python (cloud automation, infrastructure as code, AI/ML pipelines, API development, data processing)

· Experience with Boto3 (AWS SDK for Python), PowerShell, and shell scripting

· AI/ML experience: building generative AI solutions for automation, code generation, cost analysis, knowledge retrieval, and designing retrieval-augmented generation (RAG) pipelines with enterprise data sources

· Implementing guardrails for AI systems to enforce content policies and compliance

Agile & Documentation

· ITIL knowledge: incident management, problem resolution, change management

· Agile practices: PI planning, sprint planning, backlog grooming, stand-ups, reviews, retrospectives

· Proficient with Jira and Confluence for user story creation and project tracking

· Code documentation in Bitbucket with clear comments and README files for maintainability

Troubleshooting

· Strong ability to diagnose and resolve infrastructure, networking, and service-related issues to improve performance and reliability



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