Hire the best Amazon EC2 Developers in Fairfax, VA

Check out Amazon EC2 Developers in Fairfax, VA with the skills you need for your next job.
  • $90 hourly
    Hi, my name is Danny. I am a senior level AWS Cloud Certified Professional DevOps Engineer and Certified Kubernetes Application Developer. I've worked with small businesses, startups, and Fortune 500 companies like Amazon and Marriott, Large government agencies, as well as leaders in national telecom, retail, media, and finance industries worldwide. Meanwhile I have experience in multi-cloud and hybrid cloud architectures, end-to-end project deliveries, infrastructure as code, cloud engineering, application development, machine learning & cloud-native ML-Ops, design, systems & network engineering, data engineering, and information security. I hold a Bachelors of Science in Applied Physics from Virginia’s Christopher Newport University with a concentration in Astrophysics and Computer Science. I assure a strong work ethic, high-quality deliverables, and a high level of integrity. Your project's success matters to me! ******* Common Skills / Search Keywords ✔ Project Management: Project Consultation, SoW, Architectural Diagrams, Lucid Charts, Trello, Monday, Jira, Confluence, Gantt charts ✔ Team Management: I have managed teams with 1 - 6 people. ✔ AWS Skills: Infrastructure as Code: Terraform, CDK, Pulumi, CloudFormation Configuration Management: Ansible, Puppet, Chef, OpsWorks Data Engineering: Redshift, Aurora, Athena, EMR, Kineses, Glue VMs: EC2, Reserved, Spot, LightSail PAAS: Lambda, Lambda Layers, ECS, ECR, EKS, Elastic Beanstalk, API Gateway Networking: VPC Networks, Load Balancers, Cloud Armor, Cloud Networking, Cloud Routers, App Armor SQL & NoSQL Databases: RDS, DynamoDB, Postgres, ElasticCache Development: AWS Cloud API integrations, JavaScript, jQuery, JSON, Java, Python, Bash/Shell, SQL, NoSQL, HTML, CSS3, YAML, CloudGuru DevOps: CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation AI: SageMaker, Comprehend, Rekognition, Textract, Storage & Edge: S3, RDS, EFS, FSx, Snowcone, Snowball, Snowball Edge, Outpost Monitoring: CloudTrail, CloudWatch, Nagios, SNS, Security: IAM Identity Center, Config, Cognito, GuardDuty, Inspector, CloudWatch, CloudTrail, Cognito, ACLs, Security Groups, Shield, Web Application Firewall Other: Terraform, SQS, ✔ Kubernetes / Container Skills: Container Runtimes: Docker, Docker Compose, ContainerD, CRI-O, Podman Kubernetes Distros and Managed Services: OpenShift, K3s, RKE, PlatformOne, Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), GKE Autopilot, Azure Kubernetes Service (AKS), Civo, VMWare Tanzu, DigitalOcean Kubernetes Service, Docker Kubernetes Service (DKS) Management Services: Kubectl, Eksctl, Kubespray, Kops, Rancher, Spectrocloud Application Services: Helm, Traefik, Istio, ArgoCD Security Services: Aqua, Armo, Calico, Kube2IAM, Open Policy Agent (OPA), RBAC ✔ Other Skills: Data Engineering: ETL Pipelines, SQL, NoSQL, Data Warehousing, data ingestion pipelines Development: Backend & Frontend, Application, Systems, Github, Gitlab Languages: Python, Bash/Shell, Go, JavaScript, JSON, Java, SQL, NoSQL, HTML, CSS3, YAML Linux: Red Hat (RHEL), Debian/Ubuntu, CentOS, Amazon Linux 2, HAProxy Load Balancing, LAMP/LEMP, Nginx, DHCP, SMTP, DNS, email servers, Bash & Python scripting, kernel updates, iptables, advanced network configuration, deployment & maintenance Windows: Windows Server domain controllers, Active Directory, Exchange, LDAP, DNS, DHCP, SharePoint, IIS, failover clusters, virtual & bare metal environments Networks: Cloud and enterprise routers, switches, firewalls, VPN, VPC, VLAN, LAN, mesh WiFi networks, Wireshark, Zabbix, Pandora FMS, PRTG, DDoS, Cloudflare, F5
    vsuc_fltilesrefresh_TrophyIcon Amazon EC2
    Agile Project Management
    Amazon S3
    Linux System Administration
    Bash Programming
    Cloud Architecture
    Red Hat Administration
    Google Cloud Platform
    Amazon Web Services
  • $45 hourly
    I'm a software engineer specializing in cloud technology and building scalable microsevices in Python and Go. I'm proficient in building and deploying applications on both AWS and Google Cloud (GCP). I've also worked extensively with Kubernetes to deploy Go-based microservices and productionize Machine Learning (ML) models as both APIs and batch jobs. I have worked previously as a consultant for a Fortune 500 company to create a cloud-based solution to automate and crowdsource their research using AWS EC2 and Mechanical Turk. The solution was incredibly successful - it accomplished in one month what had taken one year using traditional methods.
    vsuc_fltilesrefresh_TrophyIcon Amazon EC2
    Machine Learning
    RESTful API
    Amazon DynamoDB
    AWS Fargate
    AWS Lambda
    Amazon S3
    Amazon Web Services
  • $33 hourly
    Projects C2C | AWS, Python, ReactJs, Ansible, RDS, S3 * Spearheaded the development of a groundbreaking On-Premise to Cloud automation platform in Python and Flask, achieving a remarkable 30% reduction in manual effort through the automation of AWS EC2 instance deployment based on user preferences. Proficiently managed EC2 instances, showcasing expertise in optimizing resource utilization. * Headed the backend development, creating robust APIs in Python and employing Ansible to host user-provided Git projects. Implemented efficient management of AWS S3 buckets, resulting in a 25% improvement in storage and retrieval of project assets. * Orchestrated the successful implementation of a streamlined CI/CD system, leveraging Webhooks for swift and automatic deployment. Achieved a 40% reduction in deployment time, showcasing expertise in continuous integration and deployment practices.
    vsuc_fltilesrefresh_TrophyIcon Amazon EC2
    Amazon S3
    Amazon RDS
    React Bootstrap
    CSS 3
  • $85 hourly
    XUE KE SENIOR CLOUD DATA ENGINEER Ms. Ke has strong hands-on experience in the implementation of AWS DataLake projects with ASCENDING's clients. He worked as Senior Data Engineer in GoDaddy Revenue API project, where he implemented DataLake on AWS and ingested a variety of data from upstream applications. He also worked as a Big Data Engineer in American Institutes for Research, where he migrated huge chunks of data to the cloud. Technical Skills EXPERIENCE WITH SCOPE OF WORK * Cloud Computing: Amazon Web Services, Microsoft Azure * Programming Language: Java, Scala, Python, R, SQL, Unix/Bash shell * Operating Systems: Windows, MacOS, Linux * Database: SQL - Oracle 11g, MySQL 5.x, Microsoft, SQL Server 13.0, PostgreSQL 8.x; NoSQL - MongoDB 3.2, Cassandra 1.2, HBase 1.4.x * AWS: EC2, EMR, VPC, Kinesis, Lambda, S3, RDS, Redshift, DynamoDB, Glue, Data Pipeline, Athena, IAM, MSK, CloudWatch, Elasticsearch
    vsuc_fltilesrefresh_TrophyIcon Amazon EC2
    AWS Glue
    Adobe Analytics
    AWS Lambda
    Amazon S3
    Amazon Web Services
    Apache Spark
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