AWS DevOps Engineer
Job Description
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
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
#GraphicDesignJobsOnline
#WebDesignRemoteJobs #FreelanceGraphicDesigner #WorkFromHomeDesignJobs #OnlineWebDesignWork #RemoteDesignOpportunities #HireGraphicDesigners #DigitalDesignCareers# Dynamicbrand guru
