Hire the Best Certified AWS DevOps Engineers

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Rating is 4.8 out of 5.
4.8/5
Based on 11,586 client reviews
Shunmuga Sundara Perumal T.

Chennai, India

$40/hr
4.9
11 jobs

I’m an AWS Certified Solutions Architect – Professional with multiple AWS specialty certifications and hands-on experience designing scalable, secure cloud architectures. I help businesses migrate applications to AWS, improve infrastructure reliability, and implement DevOps best practices. My AWS Certifications: • AWS Certified Solutions Architect – Professional • AWS Certified Security – Specialty • AWS Certified Advanced Networking – Specialty • AWS Certified Solutions Architect – Associate • AWS Certified Cloud Practitioner I can help with: • Cloud migration to AWS • High-availability architecture design • DevOps automation and CI/CD pipelines • Infrastructure security and networking • Application deployment and monitoring I also teach AWS concepts on my YouTube channel(Learn Tech), helping engineers understand real-world AWS architecture and best practices.

  • Cloud Architecture
  • Cloud Development
  • AWS CloudFormation
  • AWS Development
  • Solution Architecture
  • AWS CloudTrail
  • Cloud Migration
  • Security Infrastructure
  • CI/CD
  • AWS Lambda
  • AWS Glue
  • AWS CloudFront
  • AWS Application
  • AWS Amplify
  • AWS Server Migration
  • Amazon EC2
  • Amazon S3
  • AWS CodeDeploy
Hamdi D.

Tunis, Tunisia

$40/hr
5.0
3 jobs

𝐒𝐡𝐨𝐫𝐭 𝐕𝐞𝐫𝐬𝐢𝐨𝐧: I am an experienced Cloud `| DevOps engineer, specializing in automation, infrastructure, and security compliance, with hands-on expertise in AWS, Azure, and GCP. I help clients ensuring the delivery of secure and scalable cloud solutions while achieving cost optimization. ── .✦ ── .✦ ── .✦ ── 𝐓𝐡𝐞 𝐋𝐨𝐧𝐠 𝐃𝐞𝐭𝐚𝐢𝐥𝐞𝐝 𝐕𝐞𝐫𝐬𝐢𝐨𝐧: As a Cloud | DevOps engineer with 6+ years in the industry, I have extensive hands-on experience with AWS, Azure, and Google Cloud Platform (GCP). Cloud automation, infrastructure, security compliance and cost optimization are among my strongest skills. My computer science engineering degree, alongside optimizing clients’ spending, makes me qualified to develop secure, scalable, and optimal cloud architectures that meet business objectives. Core Cloud Services & Specializations: - Multi-Cloud Architecture: Design and implement robust, secure, and scalable architectures on AWS, Azure and GCP. - DevOps Automation: Deploy CI/CD pipelines using GitHub Actions, GitLab CI/CD and manage infrastructure using Terraform, CloudFormation, Python, and Bash. - Cloud Migration: Migrate on-premises workloads to the cloud with minimal downtime and optimized cost across all major platforms. - Operating System Support: In-depth experience with Windows Server, Linux (Ubuntu, CentOS,Debian), including performance tuning and scripting. - Database: AWS RDS Postgres, MySQL, AWS DynamoDB, Amazon Aurora. - Containerization: Docker, Kubernetes, EKS, Amazon ECS, AWS Fargate, GCP, Microsoft Azure. Certifications That Back My Expertise: ✅ AWS Certified: AWS Certified Solutions Architect ✅ HashiCorp Certified: Terraform Associate ✅ EC-Council Certified: Certified Ethical Hacker (CEH) ✅ Cisco Certified: CCNA Routing and Switching My experience includes working with automation of cloud infrastructure, DevSecOps, network security, and cost management, which allows me to develop solutions that are tailored to your needs. In case you need someone to design your cloud journey, automate deployments, improve your infrastructure, enhance security, or reduce expenses for a certified cloud specialist, let’s contact and explain how to achieve everything you have envisioned on the cloud. I highly value communication, i can help upskill engineers, transfer knowledge to your team, document runbooks

  • DevOps
  • Computing & Networking
  • Cloud Architecture
  • Cloud Implementation
  • Cloud Security
  • Cloud Services
  • GitHub
  • GitLab
  • Terraform
  • Amazon ECS
  • Amazon EC2
  • AWS CloudFormation
  • Amazon S3
  • Amazon Virtual Private Cloud
  • Cloud Migration
Duc B.

Ho Chi Minh City, Vietnam

$39/hr
5.0
51 jobs

Hi! I’m an AWS-certified DevOps Engineer and Solutions Architect helping SaaS companies build, secure, modernize, and scale production systems on AWS. I have 7+ years of backend engineering experience and 5+ years of AWS cloud engineering experience. CERTIFICATIONS * AWS Certified Solutions Architect – Associate * AWS Certified DevOps Engineer – Professional * AWS Certified Solutions Architect – Professional My main advantage is that I understand both AWS infrastructure and backend applications. You do not need to hire separate cloud, DevOps, security, and backend engineers to solve one production problem. WHAT I CAN HELP YOU WITH 1. AWS PLATFORM MODERNIZATION AND GOVERNANCE * AWS Organizations, Control Tower, Landing Zone, SCPs, and IAM Identity Center * Multi-account architecture with separate development, staging, and production environments * ECS, EKS, Lambda, and serverless architecture * Centralized logging, account governance, and platform standards 2. INFRASTRUCTURE AS CODE AND CI/CD * Terraform, CloudFormation, and AWS CDK * Reusable modules and infrastructure migration * Terraform import, state management, and drift remediation * CI/CD implementation and optimization * GitHub Actions, CodePipeline, CodeBuild, and CodeDeploy 3. AWS SECURITY, NETWORKING, AND COMPLIANCE * IAM least-privilege access and security reviews * VPC design, subnets, routing, NAT Gateway, and VPC endpoints * Security groups, network ACLs, segmentation, and private connectivity * Security Hub, GuardDuty, Inspector, AWS Config, CloudTrail, and KMS * Secrets management, encryption, backup, and recovery * Technical remediation for SOC 2, ISO 27001, Vanta, Drata, and Sprinto I provide practical implementation, not only an audit report. 4. AWS FINOPS AND COST OPTIMIZATION * EC2, ECS, EKS, Lambda, and RDS right-sizing * Savings Plans and Reserved Instance planning * NAT Gateway, storage, data transfer, and CloudWatch cost optimization * Cost allocation tags, budgets, and anomaly detection My process is simple: Analyze → Implement → Measure → Monitor 5. FRACTIONAL AWS ENGINEERING, MIGRATION, AND RELIABILITY I can support SaaS teams for 10–20 hours per week with: * AWS architecture and production change reviews * Monitoring, incident investigation, and reliability improvements * Cloud and database migrations * High availability, backup, RTO, RPO, and disaster recovery * Backend and database troubleshooting 6. AWS AI AND MACHINE LEARNING INFRASTRUCTURE * Amazon Bedrock and foundation model integration * Amazon SageMaker AI infrastructure and model deployment * Amazon Textract, Rekognition, Transcribe, Polly, and Comprehend * Secure IAM, private networking, and model access controls * AI workload monitoring, governance, and cost optimization WHY WORK WITH ME I can work across the complete production system: * AWS architecture, networking, security, and Infrastructure as Code * Go, Java, Spring Boot, and APIs * PostgreSQL, Redis, and Elasticsearch * Containers, CI/CD, monitoring, and production troubleshooting You work directly with a senior engineer who can assess the problem, recommend the right solution, implement it, and support it in production.

  • DevOps
  • Amazon Web Services
  • Terraform
  • Amazon ECS
  • Kubernetes
  • Linux
  • Java
  • Golang
  • AWS CloudFormation
  • Amazon EC2
  • AWS Lambda
  • Amazon RDS
George O.

Lagos, Nigeria

$25/hr
5.0
5 jobs

As an AWS-certified DevOps and cloud security engineer, I help startups, fintech companies, and AI/ML platforms build secure, compliant, production-grade AWS infrastructure — including the AI infrastructure layer most DevOps engineers haven't touched yet: LLM inference endpoints, RAG pipelines, and GPU-backed compute. With certifications in AWS DevOps Engineer – Professional, AWS Solutions Architect – Professional, AWS Security – Specialty and AWS CloudOps Engineer – Associate, your infrastructure is in capable, currently-certified hands. WHAT I DO BEST AI/ML Infrastructure on AWS I deploy fine-tuned LLM inference endpoints across GPU instance families, build RAG knowledge bases using Amazon Bedrock and pgvector, and stand up Feature Stores for ML pipelines — all on Terraform, all production-grade. If your platform runs AI workloads, I build the infrastructure underneath the model. Enterprise Cloud Foundation & Governance I establish AWS cloud foundations using Control Tower and Landing Zone with automated multi-account environments and security guardrails — Security Hub, GuardDuty, AWS Config, CloudTrail, and SCPs. This significantly eases SOC 2, ISO 27001, and HIPAA audit preparation through automated compliance evidence. Security-First Infrastructure VPC isolation, least-privilege IAM, secrets management, and encryption everywhere. A recent project passed a SOC 2 audit with zero infrastructure findings, built in from day one. Cloud Migrations & Containerization I migrate applications from on-premises and legacy clouds (GCP, Azure) to AWS with zero downtime — deploying to ECS/Fargate, EKS, or traditional EC2, with a focus on cost efficiency and security. Infrastructure as Code Everything is Terraform-based, version-controlled, and reproducible — multi-account Control Tower setups, VPC architectures, IAM policies, all defined as code with peer review. CI/CD & Production Reliability Deployment pipelines (GitHub Actions, GitLab CI, AWS CodePipeline) that cut deployment time from hours to minutes, with automated testing and rollback. Designed for 99.99% uptime through Multi-AZ deployments and auto-scaling. RECENT RESULTS - Architected GCP-to-AWS migration for an AI/ML fintech platform — 5 fine-tuned LLM inference endpoints across GPU instance families, RAG knowledge base on pgvector, full Terraform IaC - Deployed a containerized Spring Boot app on ECS Fargate with Control Tower multi-account setup, Security Hub, GuardDuty, Config, and CloudTrail across dev/staging/prod - Migrated a payment platform to AWS — 99.99% uptime, handled 10x traffic spikes, 40% cost reduction - Delivered enterprise Landing Zone migration framework for 85 applications, 450 VMs, 55 databases - Automated deployments from 2 hours to 15 minutes with improved security posture TECH STACK AWS AI/ML: Amazon Bedrock, Amazon SageMaker, RAG pipelines, pgvector, Feature Store, GPU instances AWS Governance & Security: Control Tower, Organizations, Security Hub, GuardDuty, Config, CloudTrail, IAM, Secrets Manager, KMS, WAF AWS Infrastructure: ECS/Fargate, EC2, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, ALB/NLB, Auto Scaling Containers & Orchestration: Docker, ECS/Fargate, Kubernetes/EKS, ECR Infrastructure as Code: Terraform (5+ years), CloudFormation, AWS CDK CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline/CodeBuild/CodeDeploy Databases: RDS (PostgreSQL, MySQL, SQL Server), DynamoDB, MongoDB/DocumentDB Monitoring: CloudWatch, CloudTrail, VPC Flow Logs, Security Hub, Config Scripting: Python, Bash, Shell WHO I WORK WITH - AI/ML platforms needing production-grade inference and RAG infrastructure - Startups preparing for SOC 2 certification - Fintech companies needing secure infrastructure for financial data - Healthcare/SaaS companies requiring HIPAA-ready environments - Companies migrating from on-premises, GCP, or Azure to AWS - Enterprises needing multi-account AWS governance WHAT MAKES ME DIFFERENT Most DevOps engineers deploy applications. I build enterprise security foundations — and the AI infrastructure layer most of them haven't touched yet. You get: ✓ AI/ML infrastructure built by someone who understands both the model and the cloud underneath it ✓ Security and compliance built in from day one ✓ Automated audit evidence collection ✓ Multi-account governance preventing drift ✓ Clear documentation and knowledge transfer Looking for secure, audit-ready AWS infrastructure — or AI/ML platform infrastructure that actually scales? Let's talk.

  • DevOps
  • Amazon Web Services
  • Linux
  • Docker
  • Terraform
  • Python
  • Kubernetes
  • Ansible
  • CI/CD
  • Amazon ECS
  • Amazon DynamoDB
  • AWS Lambda
  • AWS CloudFormation
  • Cloud Migration
  • Cloud Security
  • Cloud Computing
  • Cloud Architecture
  • Infrastructure as Code
  • Amazon SageMaker
  • Amazon Bedrock
Kashif N.

Gilgit, Pakistan

$30/hr
4.8
38 jobs

Are you looking for an experienced Azure DevOps Engineer, DevOps Engineer, Azure Architect, or AI Automation Expert to build secure cloud infrastructure, automate deployments, and streamline business workflows? With 10+ years of experience in Azure DevOps, Microsoft Azure, DevOps Engineering, and AI Automation, I help startups, SaaS companies, and enterprises automate software delivery, optimize cloud infrastructure, reduce operational costs, and accelerate product releases. Whether you need a complete Azure DevOps Pipeline, CI/CD automation, Kubernetes deployment, Terraform Infrastructure as Code, or an AI Automation workflow, I deliver scalable, secure, and production-ready solutions. Azure DevOps Services As an experienced Azure DevOps Engineer, I build, optimize, and maintain: Azure DevOps Pipelines Azure DevOps CI/CD Azure Repos Azure Boards Azure Artifacts Azure Release Pipelines Azure DevOps Automation Azure DevOps RBAC Azure DevOps Security Azure DevOps YAML Pipelines Azure DevOps Deployment Azure DevOps Monitoring Every Azure DevOps implementation is designed for faster deployments, higher reliability, and minimal downtime. DevOps Engineering I help companies implement modern DevOps practices using: CI/CD Pipelines Infrastructure as Code (Terraform) Docker Kubernetes Azure Kubernetes Service (AKS) GitHub Actions Jenkins Ansible Linux Administration Windows Server DevSecOps Monitoring & Logging Cloud Automation Release Automation My goal is to build reliable infrastructure that enables development teams to deploy faster and with confidence. Microsoft Azure Architecture As a certified Azure Architect, I specialize in: Microsoft Azure Azure Virtual Machines Azure Networking Azure Storage Azure Key Vault Azure Monitor Azure Data Factory Azure Kubernetes Service Azure Functions Azure App Services Azure Security Azure Governance Azure Cost Optimization Azure Migration Cloud Architecture I design scalable Azure environments that prioritize performance, security, and cost efficiency. AI Automation I help businesses automate repetitive tasks and integrate AI into their operations through: AI Automation AI Workflow Automation AI Business Automation AI Agents AI Agent Development AI Agent Automation AI Chatbot Development OpenAI Integration Azure OpenAI AI API Integration LangChain n8n Automation Make com Zapier AI Voice Agents Workflow Automation Business Process Automation From intelligent chatbots to end-to-end AI workflows, I build solutions that improve efficiency and reduce manual work. Cloud Platforms ✔ Microsoft Azure ✔ Azure DevOps ✔ Amazon Web Services (AWS) ✔ Google Cloud Platform (GCP) ✔ Kubernetes ✔ Docker ✔ Terraform ✔ GitHub Actions ✔ Jenkins ✔ Azure AI ✔ Azure OpenAI ✔ DevOps Automation Why Clients Work With Me ✅ 10+ Years of DevOps Experience ✅ 7× Microsoft Azure Certified ✅ Kubernetes Certified ✅ Terraform Certified ✅ Azure DevOps Expert ✅ AI Automation Specialist ✅ Scalable Cloud Architecture ✅ Secure CI/CD Pipelines ✅ Infrastructure as Code ✅ Cloud Cost Optimization ✅ Fast Communication ✅ Reliable Delivery DevOps Engineer, DevOps Specialist, DevOps Expert, DevOps Consultant ,AWS DevOps, Azure, DevOps, DevOps Automation, DevOps Services, DevOps CI/CD, DevOps Pipeline, DevOps, Deployment, DevOps Infrastructure, DevOps Monitoring, DevOps Security, DevOps Migration, DevOps Cloud Engineer, DevOps Kubernetes, DevOps Docker, DevOps Terraform, DevOps Jenkins, DevOps GitHub Actions, DevOps GitLab CI/CD, DevOps Ansible, DevOps Linux, DevOps AWS EC2,DevOps AWS Lambda, DevOps Amazon ECS, DevOps Amazon EKS, DevOps Azure AKS, DevOps Google Cloud, DevOps GCP, DevOps Infrastructure as Code, DevOps Containerization, DevOps Automation Engineer, DevOps Cloud Migration ,DevOps Monitoring & Logging, DevOps Site Reliability Engineering, DevOps Python Automation, DevOps Kubernetes Administrator, DevOps CI/CD Pipeline Expert Azure DevOps • DevOps Engineer • Azure Architect • AI Automation • Microsoft Azure • Azure Cloud • Azure DevOps Engineer • CI/CD • Kubernetes • Docker • Terraform • Infrastructure as Code • Azure Kubernetes Service • Azure OpenAI • AI Agents • AI Workflow Automation • AI Integration • Cloud Architecture • AWS DevOps • Cloud Engineer • DevSecOps • Azure Migration • GitHub Actions • Jenkins • Automation Engineer • Cloud Automation

  • Amazon Web Services
  • AI Agent Development
  • LangChain
  • n8n
  • Make.com
  • OpenAI API
  • Claude
  • Retrieval Augmented Generation
  • LLM Prompt Engineering
  • Automated Workflow
  • Chatbot Development
  • Python
  • DevOps Engineering
  • AI Classifier
  • Conversational AI
  • Gemini
  • API Integration
  • Azure DevOps
  • Google Cloud Platform
  • Kubernetes
Ari H.

Tirana, Albania

$65/hr
5.0
27 jobs

I am a Lead DevOps Engineer and Site Reliability Engineer (SRE) with 12+ years of experience building and operating large-scale, highly available AWS platforms. I have led infrastructure efforts across multiple startups and companies, designing efficient CI/CD pipelines, Kubernetes clusters, and Terraform-managed infrastructure. I currently serve as Technical Lead for a Kubernetes platform, mentoring a team of 8 engineers while managing Amazon EKS production clusters running more than 10,000 pods across mission-critical workloads. I specialize in AWS, Kubernetes, Amazon EKS, Terraform, Ansible, Docker, Helm, GitOps (FluxCD, Argo CD), GitLab CI/CD, GitHub Actions, and cloud-native platform engineering for highly available production environments. My expertise includes: • AWS architecture: EKS, EC2, VPC, IAM, RDS, Aurora, S3, Route 53, ALB/NLB, KMS, and CloudWatch • Kubernetes, Helm, GitOps, autoscaling, networking, storage, security, and troubleshooting • Terraform, Ansible, CloudFormation, and Infrastructure as Code • GitLab CI/CD, GitHub Actions, Jenkins, Argo CD, and FluxCD • Prometheus, Grafana, Loki, Elasticsearch, and observability/monitoring • SRE practices: on-call incident response, production monitoring, postmortems, and high-availability architecture • Python for automation and tooling • Multi-cloud experience across AWS, Azure, and Google Cloud Platform I can help with AWS and Kubernetes architecture, EKS troubleshooting, Terraform automation, CI/CD and GitOps, cloud migrations, observability, cost optimization, and production incident response. I have been an AWS Certified Solutions Architect since 2017 and hold a Master of Science in Computer Science from the University of Tirana. I focus on reliable, secure, maintainable solutions with clear communication and practical delivery.

  • DevOps
  • Amazon Web Services
  • Database Administration
  • Solution Architecture
  • Microservice
  • Kubernetes
  • Jenkins
  • Docker
  • Terraform
  • Azure DevOps
  • Google Cloud Platform
  • GitHub
  • Python
  • Ansible
  • GitLab
  • Prometheus
  • Grafana
  • Microsoft Azure
  • AWS CloudFormation
  • JetBrains TeamCity

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What does a Certified AWS DevOps engineer do?

A certified AWS DevOps engineer builds and maintains automated infrastructure and delivery pipelines on the Amazon Web Services cloud. This specialist writes code to provision servers, databases, and networking resources instead of configuring them by hand. They connect software development steps to deployment targets so new application versions reach users without manual intervention. The role focuses on system reliability through automated monitoring and rapid incident response.

  • Authors infrastructure as code using AWS CloudFormation templates to define and version control every server, database, and network component. This approach allows the engineer to reproduce entire environments instantly and track changes through source control systems. They design these templates to support automatic rollback strategies if a deployment fails or causes errors in production.
  • Constructs continuous integration and continuous delivery pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy to automate testing and release processes. These workflows compile application code, run automated test suites, and deploy artifacts to staging or production environments without human input. The engineer configures approval gates and notification triggers to keep teams informed during critical release stages.
  • Configures comprehensive monitoring and logging solutions using Amazon CloudWatch and AWS X-Ray to track system health and performance metrics. They set up alarms that trigger automatic remediation actions or alert on-call staff when latency spikes or error rates exceed defined thresholds. This setup includes aggregating logs from multiple services into centralized dashboards for real-time operational visibility.
  • Implements event-driven automation architectures using AWS EventBridge to detect operational changes and initiate corrective workflows. For example, they might configure rules that invoke AWS Lambda functions to restart failed services or rotate credentials when security events occur. This method reduces mean time to resolution by removing manual troubleshooting steps from common incident scenarios.
  • Enforces security compliance by automating identity and access management policies and auditing configuration drift across the cloud environment. They use AWS Systems Manager to apply patches, manage fleet configurations, and verify that all resources adhere to organizational security standards. This work includes generating audit trails and reports that demonstrate compliance with industry regulations and internal governance requirements.

How to hire a Certified AWS DevOps engineer on Upwork

Step 1: Post a job

Define your infrastructure automation needs clearly to attract qualified specialists. Use the Job Post Generator powered by Uma™, Upwork's Mindful AI to draft a precise description in seconds. Describe your requirements in a few sentences, and Uma creates a tailored post for this role. You can write a new post, update a saved draft, or reuse an existing one.

  • Specify required AWS services such as CodePipeline, CloudFormation, and Systems Manager to filter for relevant technical expertise.
  • List concrete deliverables like automated CI/CD workflows, infrastructure as code templates, and CloudWatch monitoring dashboards.
  • State whether the role focuses on building new deployment pipelines or optimizing existing event-driven remediation architectures.

Step 2: Evaluate candidates

Look for proof of hands-on experience with AWS operational tools and security practices. Uma runs instant video interviews and builds shortlists with side-by-side comparisons to speed up your review process.

  • Review portfolios for infrastructure as code artifacts that demonstrate automated provisioning and configuration management strategies.
  • Check for examples of log aggregation setups and alarm configurations that show proactive operational data analysis skills.
  • Verify past work includes incident response automation using EventBridge and Lambda to handle failed deployments or security events.

Step 3: Interview your top choices

Discuss specific technical challenges related to continuous delivery and system reliability. Schedule and conduct interviews within Upwork Messages, which generates an immediate transcript and summary after each session.

  • Ask how they structure rollback strategies within CodeDeploy to minimize downtime during application release failures.
  • Request examples of how they implemented identity and access management controls to audit security compliance on AWS.
  • Discuss their approach to encrypting stored logs and metrics while maintaining real-time visibility through tracing tools like X-Ray.

Step 4: Agree on scope and begin work

Set clear milestones for pipeline construction and infrastructure automation tasks. Use Upwork Messages and the contract workroom for communication and project management, plus identity verification, payment protection, hourly tracking, and project funds for security.

  • Define milestones for delivering tested CI/CD pipeline definitions and corresponding infrastructure automation scripts.
  • Agree on specific metrics for success, such as reduced deployment times or improved alarm accuracy in CloudWatch dashboards.
  • Establish protocols for handing over event-processing workflows and security auditing components upon contract completion.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a Certified AWS DevOps engineer cost?

$500-$1,500 per project is a typical range for focused Certified AWS DevOps engineer work. Final pricing depends on scope, technical complexity, required integrations, source-material quality, revision needs, and the freelancer's experience level.

Monitoring dashboard setup

$500-$1,200/project

Entry-level to mid-level
  • Configured CloudWatch metrics and log collection rules
  • Defined threshold-based alarms for system health
  • Exported visualization dashboard for operational review

CI/CD pipeline implementation

$1,200-$2,500/project

Mid-level
  • Authored CodePipeline stages for build and deploy
  • Created CodeBuild specs for artifact generation
  • Configured CodeDeploy rollback and validation steps

Infrastructure as code migration

$2,500-$4,500/project

Mid-level to senior-level
  • Wrote CloudFormation templates for resource provisioning
  • Verified infrastructure state against existing environment
  • Compiled scripts for automated stack updates

Event-driven remediation workflow

$4,500-$7,000/project

Senior-level
  • Set up EventBridge rules for operational triggers
  • Coded Lambda functions for automated response actions
  • Submitted logs confirming end-to-end workflow execution

Security compliance automation

$7,000-$12,000/project

Expert-level
  • Defined IAM policies and security group rules
  • Configured Systems Manager for continuous compliance checks
  • Documented automated steps for security incident response

Frequently asked questions

Is hiring a Certified AWS DevOps engineer worth it?

For most businesses, yes: hiring a Certified AWS DevOps engineer is worthwhile. This specialist builds automated CI/CD pipelines and configures infrastructure as code to reduce manual deployment errors. They also set up monitoring dashboards and alarms that detect operational issues before they impact users.

How do I evaluate Certified AWS DevOps engineer candidates?

Evaluate candidates by asking them to explain how they configure rollback strategies within AWS CodePipeline or AWS CodeDeploy. A strong candidate describes specific steps to automate incident response using AWS Systems Manager or EventBridge rather than offering generic troubleshooting advice.

What tools does a Certified AWS DevOps engineer use?

A Certified AWS DevOps engineer uses AWS CloudFormation to provision infrastructure and AWS CodeBuild to compile application artifacts. They also rely on Amazon CloudWatch for metric collection and AWS X-Ray for tracing application performance.

What deliverables does a Certified AWS DevOps engineer produce?

This professional produces automated pipeline definitions and infrastructure templates that version control system changes. They also generate security audit logs and configure event-driven workflows that trigger remediation actions during outages.