Your infrastructure breaks at 2 AM. Your deploys take 45 minutes. Your AWS bill climbed 40% and nobody can explain why. I fix all three - and I've done it 100+ times on this platform.
Former SRE Lead at Yellow AI (100M+ users, AWS + on-prem). Now I run Skybyte, a DevOps and cloud consulting practice focused on startups and mid-market teams that need senior infrastructure work without the senior hire.
What 61+ Upwork jobs and a 100% Job Success Score actually look like:
Cloud cost optimization - cut AWS/Azure/GCP spend by 40-60% through right-sizing, Reserved Instances, spot fleets, and architecture cleanup. Not guesswork; I run the cost audit, build the dashboard, and hand you the savings.
Kubernetes migration and management - moved production workloads to EKS, AKS, and self-managed clusters on Hetzner. Helm charts, ArgoCD GitOps, zero-downtime cutovers. I've handled clusters running 200+ pods and clusters running 6.
CI/CD pipeline engineering - GitHub Actions, GitLab CI, Azure DevOps Pipelines, Bitbucket Pipelines. Took teams from 45-minute manual deploys to sub-5-minute automated releases with rollback built in.
Infrastructure as Code with Terraform - full AWS, Azure, and GCP environments defined in Terraform modules. State management, drift detection, and PR-based infrastructure reviews that your team can maintain without me.
DevSecOps and compliance - SOC 2 infrastructure from scratch, cloud security audits, Cloudflare WAF and DDoS protection, network security architecture, and DPDP-aligned data handling. I've built the controls and written the documentation auditors actually accept.
Monitoring, observability, and SRE - Prometheus, Grafana, OpenTelemetry, Datadog, PagerDuty. Full observability stacks that catch failures before your users file tickets. I set up SLOs, runbooks, and on-call workflows.
Beyond core DevOps - SSO/SAML integration, n8n workflow automation, MLOps pipelines, Docker deployments on bare metal and VPS, GCP Cloud Run serverless, and technical documentation your team won't ignore.
I work best with funded startups burning money on cloud, engineering teams stuck in deployment hell, and companies scaling past the point where one developer can manage the infrastructure part-time.
Stack: AWS (EKS, EC2, Lambda, RDS, S3) · Azure (AKS, DevOps, AD) · GCP (GKE, Cloud Run) · Kubernetes · Helm · Terraform · Docker · GitHub Actions · GitLab CI · ArgoCD · Prometheus · Grafana · OpenTelemetry · Datadog · Cloudflare · n8n
Not a "set it up and disappear" contractor. I document everything, train your team, and build systems designed to run without me and scale.
Cloud Computing
Kubernetes
SOC 2
Amazon Web Services
Python
Terraform
Deployment Automation
Docker
Microsoft Azure
Automated Deployment Pipeline
Cloud Security Framework
Git
CI/CD
System Administration
Network Security
Google Cloud Platform
Cloud Migration
DevOps Engineering
DevOps
AI Security
Arslan A.
Islamabad, Pakistan
$25/hr
5.0
23 jobs
If your cloud infrastructure is becoming expensive, insecure, or difficult to scale I can help you fix it and future-proof it.
I’m a DevOps and Cloud Security engineer with 7+ years of hands-on experience working with startups and multinational companies across the US, UK, and UAE. I design and implement secure, scalable, and cost-efficient cloud environments across AWS, Azure, GCP, and DigitalOcean.
Here’s how I help my clients:
**DevOps Engineering (AWS, Azure, GCP, DigitalOcean):**
I build and optimize CI/CD pipelines, automate infrastructure using Terraform, and implement Kubernetes-based deployments to ensure fast, reliable releases.
**Cloud Security:**
I design and manage end-to-end deployment workflows, build and optimize secure CI/CD pipelines, and automate infrastructure using Infrastructure as Code (Terraform, CloudFormation). I implement Kubernetes-based deployments and orchestration, integrate CI/CD security practices (SAST, DAST, container scanning), and set up automated notifications and alerting to ensure fast, reliable, and controlled releases with zero downtime.
**Cloud Migrations:**
I execute end-to-end cloud migrations across AWS, Azure, GCP, DigitalOcean, and Linode. I also specialize in moving workloads from AI-builder platforms like Replit, Anything, and Kimi to secure, production-ready cloud environments.
**Compliance & Audit Readiness:**
I prepare organizations for SOC 2 Type I & II, ISO 27001, HIPAA, PCI DSS, and GDPR, both manually and using platforms like Vanta and Drata overing policies, controls, and technical implementation.
**Cloud Cost Optimization:**
I optimize cloud costs by identifying waste and right-sizing resources. Proven results include up to 50% cost reduction with no compromise on performance, scalability, reliability and security.
**Monitoring & Observability:**
I implement end-to-end monitoring and observability using Prometheus, Grafana, New Relic, ELK Stack, and Splunk. With custom alerting, I ensure issues are detected and resolved before they impact users.
I don’t just deploy tools I design and build secure, scalable, and production-ready systems engineered for reliability, compliance, and long-term growth. My approach focuses on minimizing operational risk, strengthening security, and giving you complete visibility and control over your infrastructure from day one.
Whether you need support with DevOps, cloud architecture, security hardening, infrastructure migration, CI/CD, or compliance initiatives, I’d be happy to discuss how I can help drive your project forward.
**Tools & Technologies:**
- Public Clouds: AWS, Azure, GCP
- AWS: EC2, RDS, Code Pipeline, S3, System Manager, VPC, IAM, Route 53, SQS, EKS, Secrets Manager, WAF, ECS, Config, SNS, Security Hub, Inspector, Guard Duty, EC2 Image Builder, EKS, Amplify, Elastic Beanstalk
- GCP: VPC,GKE, CloudRun, CloudArmor, Load Balancer, Bucket, Redis, Domain, Certificate Manager
- Azure: VNet, Virtual Machine, Azure DevOps, Azure Foundry, Azure Open Air Search, App Service
- OS Platforms: Debian based linux systems and Windows Server
- SCM/Version control: GitHub, CodeCommit
- CI Tools: Jenkins, CodePipelines
- Containerization & Orchestrations: Docker, ECS, Kubernetes
- Monitoring: Sensu, Uptime Robot, Data Dog
- IaaC: Terraform
- Database: RDS (Postgres/MSSQL)
- Programming & Scripting: Bash, Python
- Security Compliance: SOC (I & II), HIPAA
- XDR Platform: Sentinelone, Trend Micro Deep Security
- CSPM: Prisma Cloud by Palo Alto Networks, Microsoft Defender for Cloud
- SAST Platforms: Sonarqube, Snyk, veracode
- Container Scan: Accuknox, Trivy, Snyk Container
- DAST Platforms: OWASP Zap, Stackhawk
- Security Tooling: Prowler, Scoutsuite, Nmap, Scapy, Metasploit, Burp Suite, Nessus, WireShark, WPScanner, Sqlmap, OWASP ZAP
Jenkins
Amazon EC2
Docker
Amazon ECS
Cloud Security Framework
AWS CodePipeline
Amazon GuardDuty
Nessus
Amazon Web Services
Cloud Security
AWS Server Migration
DevOps
Azure DevOps
Terraform
Ansible
Saadat A.
Lahore, Pakistan
$20/hr
5.0
6 jobs
I help SaaS and enterprise teams cut AWS/GCP costs by up to 40% while maintaining 99.99% uptime through secure, fully automated DevOps practices.
If you’re dealing with high cloud bills, slow or manual deployments, or unstable infrastructure, I can design and implement a solution that is reliable, cost-efficient, and built to scale.
I also lead a team of 𝟐𝟎+ 𝐃𝐞𝐯𝐨𝐩𝐬 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 and together, we deliver everything from 𝐜𝐥𝐨𝐮𝐝 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 to 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐋𝐢𝐧𝐮𝐱 𝐬𝐲𝐬𝐭𝐞𝐦 𝐚𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧, 𝐒𝐒𝐋/𝐓𝐋𝐒 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 & 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐡𝐚𝐫𝐝𝐞𝐧𝐢𝐧𝐠, and 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭𝐬 (𝐄𝐊𝐒, 𝐆𝐊𝐄, 𝐀𝐊𝐒).
⭐ Core Expertise
~ 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: AWS (EC2, ECS, IAM policies), GCP (Cloud Run, GKE).
~ 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂):): Terraform, Ansible, CloudFormation, Pulumi, Helm
~ 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Docker, Kubernetes (EKS, GKE, AKS), Helm, Istio
~ 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: Jenkins, GitHub Actions, GitLab, Bitbucket, CircleCI, Azure DevOps
~ 𝐆𝐢𝐭𝐎𝐩: Argo CD, Flux CD
~ 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐋𝐨𝐠𝐠𝐢𝐧𝐠: Prometheus, Grafana, ELK/EFK, Datadog, CloudWatch, Stackdriver
~ 𝐃𝐞𝐯𝐒𝐞𝐜𝐎𝐩𝐬: Vault, AWS Secrets Manager, compliance automation, 𝐒𝐒𝐋 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧
~ Test Automation: Selenium integrated into CI/CD pipelines
⭐ Services I Provide
~ Cloud migrations (AWS, GCP, Azure) & multi-cloud strategy
~ Infrastructure automation with Terraform & Ansible
~ Containerization & orchestration with Docker & Kubernetes (EKS, GKE).
~ CI/CD pipeline design & automation
~ GitOps workflows with Argo CD & Flux CD
~ Monitoring, logging & cost optimization
~ Security hardening & DevSecOps and SSL/TLS setup & certificate automation
⭐Industries Served
~ SaaS · AI/ML · Healthcare · FinTech · E-commerce · Government · Logistics · Telecom
⭐ Why Work With Me
~ 𝟏𝟏+ 𝐲𝐞𝐚𝐫𝐬s in DevOps & Cloud 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭
~ Expert 𝐋𝐢𝐧𝐮𝐱 𝐚𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 for secure, stable, and optimised servers
~ 𝐓𝐞𝐚𝐦 𝐨𝐟 𝟐𝟎+ 𝐞𝐱𝐩𝐞𝐫𝐭𝐬 available for scaling projects
~ 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐠𝐫𝐚𝐝𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐲 with Agile & DevOps best practices
~ Clear communication, daily updates & time-zone overlap (US/EU)
💡 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭?
Click "𝐈𝐧𝐯𝐢𝐭𝐞 𝐭𝐨 𝐉𝐨𝐛" or "𝐌𝐞𝐬𝐬𝐚𝐠𝐞" and tell me about your infrastructure challenges.
Cloud Computing
Amazon Web Services
DevOps Engineering
Docker
Kubernetes
CI/CD
Terraform
Infrastructure as Code
Amazon EC2
Amazon ECS
AWS Lambda
Amazon CloudWatch
Automated Deployment Pipeline
Web Development
.NET Core
Dzmitry B.
Warsaw, Poland
$49/hr
5.0
4 jobs
I secure, scale and stabilize AWS infrastructure for SaaS and AI teams | 7+ yrs | I own delivery end to end, minimal management overhead | 12x faster provisioning, 100+ CI/CD pipelines, migrations under 5 min downtime
I’m the Founder and DevOps Delivery Lead at EvolutionScale, with 7+ years of hands-on experience across AWS infrastructure, automation and production operations.
You get a clear action plan, quick wins in the first days, and production-safe improvements shipped via AWS Terraform, CI/CD, ci cd pipelines, rollback-ready delivery, and practical DevOps Engineer execution using AWS Kubernetes, Microsoft Azure, azure data factory and Google Cloud Platform.
What you get from a cloud infrastructure optimization engagement:
✅ 12x faster infrastructure provisioning, reduced from 4 hours to 20 minutes
✅ 5x faster deployments, reduced from 40 minutes to 8 minutes
✅ 100+ automated CI/CD pipelines with quality and security gates
✅ 80% less routine DevOps dependency through reusable self-service templates
✅ Up to 40% lower AWS costs with zero customer-facing production impact
✅ Near-zero mis-releases through automated environment routing and deployment controls
✅ AWS migrations with under 5 minutes of production downtime
✅ Secure, scalable infrastructure with tenant isolation, access controls, monitoring and backups
✅ Better production reliability through observability, health checks, rollback plans and disaster recovery procedures
⚙️ How I work as an AWS DevOps Engineer:
1️⃣ Discovery & Assessment: analyze your current Amazon Web Services, Linux servers, backend, kubernetes, AWS ECS, AWS Lambda, AWS EKS, Amazon EKS, GitLab, GitHub Actions, AWS Terraform, AWS Kubernetes, and deployment pain points
2️⃣ Plan: define clear scope, milestones, risks, and the fastest first win across your infrastructure
3️⃣ Implement: build and automate with AWS DevOps Engineer best practices, DevOps Engineer delivery standards, cloud engineer ownership, and clean documentation
4️⃣ Verify + handover: release runbook, rollback path tested, monitoring validated, and short documentation for your team
I mainly work with AWS, but I can also support mixed-cloud teams where Microsoft Azure pipelines, Azure Terraform, Azure Cloud Engineer workflows, Azure infrastructure, Google Cloud Platform, AWS VMware, or migration planning are part of the environment. My expertise covers devops kubernetes integrating AWS Terraform and AWS Kubernetes into multi-cloud setups.
Real examples:
🔹 Case: AWS Production-Safe Cost Optimization
⚠️ Problem: Multiple AWS environments across production, staging, pre-production and development were running 24/7, with several oversized resources.
🛠️ Work: Reviewed AWS usage, rightsized resources, added safe Spot Instances, automated start/stop scheduling and improved cost visibility.
🎯 Result: Reduced AWS infrastructure spend by ~40% with zero customer-facing production impact.
🔹 Case: CI/CD for AWS Lambda & Product Engineering Teams
⚠️ Problem: Teams had no standard way to deploy AWS Lambda services. Each service was configured differently and required DevOps involvement.
🛠️ Work: Built 30+ AWS Lambda CI/CD pipelines for Python and Node.js with tests, SonarCloud checks and Orca Security gates.
🎯 Result: Developers could self-provision new Lambda services from a template in under 5 minutes, reducing DevOps dependency by ~80%.
🔹 Case: AWS Multi-Account Infrastructure with Terraform
⚠️ Problem: Product teams needed isolated non-prod, pre-prod and production environments, but provisioning took ~4 hours manually.
🛠️ Work: Built reusable Terraform modules across multiple AWS accounts and standardized environment provisioning with templates.
🎯 Result: Environment provisioning dropped from ~4 hours to ~20 minutes, helping teams ship and test faster.
🔹 Case: Feature-Branch Environments for Next.js / Node.js
⚠️ Problem: Developers shared one staging environment, causing conflicts and slower review cycles.
🛠️ Work: Built GitLab CI + Terraform automation to create isolated AWS Elastic Beanstalk environments per merge request.
🎯 Result: PR-based environments launched in ~10 minutes, removing staging conflicts and improving feedback loops by ~50%.
Additional product infrastructure supported:
AWS ECS, EKS, Lambda, Terraform, GitHub Actions, GitLab CI, Azure DevOps, Docker, AWS ECR, CloudFront, S3, RDS, Redshift, Dagster Cloud Hybrid
Best fit for teams that need senior DevOps support for a launch, migration, infrastructure stabilization, AWS backend improvement, backend AWS architecture, or ongoing production ownership. I can support your team as an AWS DevOps Engineer, devops engineer, cloud engineer, aws architect, and senior delivery owner across Amazon Web Services, kubernetes, ci/cd, github actions, gitlab, Git, AWS Terraform, AWS Kubernetes, Azure DevOps, GCP DevOps, and terraform-based infrastructure.
☎️ Message me a short description of your current pain for fast Senior AWS DevOps Engineer support.
Amazon Web Services
DevOps
Kubernetes
CI/CD
Terraform
Deployment Automation
Docker
Linux
Ansible
Python
Jenkins
Git
Google Cloud Platform
React
Node.js
JavaScript
CI/CD Platform
Configuration Management
Containerization
DevOps Engineering
Simranpreet Singh S.
Malerkotla, India
$15/hr
5.0
162 jobs
🏆 AWS Certified Solutions Architect | DevOps & Cloud Infrastructure Expert 🏆
10+ Years of Experience | AWS | Terraform | Docker | Cloud Migrations | Security & Cost Optimization
I’m Simran Sangha, an AWS Certified Solutions Architect with over a decade of experience designing, deploying, and managing robust, scalable, and secure cloud infrastructures. I help businesses modernize their systems, cut costs, and boost performance using a DevOps-first approach across AWS, Azure, and GCP.
✅ Core Competencies:
🔹 Cloud Infrastructure & Automation
Expert in provisioning and managing AWS environments: EC2, VPC, ELB, S3, RDS, Route 53, CloudWatch, CloudFormation, Auto Scaling
Infrastructure as Code using Terraform and AWS CloudFormation
Containerization with Docker and orchestration with ECS / EKS / Docker Compose
🔹 Security & Compliance
Hardened cloud environments with WAF, Inspector, CloudTrail, AWS Config, IAM Policies, and Trusted Advisor
Mitigation of common attack vectors: DDoS, SQL Injection, XSS
🔹 Monitoring & Logging
Real-time monitoring via CloudWatch, Dynatrace, and custom log pipelines with Kinesis Firehose → Elasticsearch → Kibana
Set up of Nagios, Check_MK, and custom alerts for infrastructure health
🔹 Cloud Migrations
Seamless migration of Linux-based environments (RHEL, Ubuntu) to AWS
Integrated auto-scaling, VPN, and hybrid cloud strategies for smooth transition
🔹 Cost Optimization
Worked with stakeholders to cut cloud spend by 20–40% through smart resource management and reserved instances
🧰 Tools & Technologies:
DevOps & Automation: Terraform, CloudFormation, Jenkins, Git, Ansible
Containers: Docker, Docker Compose, ECS, EKS
Cloud Providers: AWS (expert), GCP & Azure (intermediate)
Monitoring: Dynatrace, Nagios, Check_MK, CloudWatch
Database: MySQL, Oracle – migrations, tuning, and user security
Traffic Analysis: Cisco Stealthwatch, AWS VPC Flow Logs
🚀 Project Highlights:
Deployed high-availability architectures across multi-AZ AWS environments with auto-scaling and failover strategies
Migrated on-prem resources to cloud, establishing secure site-to-site VPNs and hybrid connectivity
Optimized DNS and CDN setups using Route 53 and CloudFront for faster global delivery
Secured data-in-transit and at-rest via SSL/TLS, EBS encryption, and access control best practices
Built robust CI/CD pipelines for infrastructure deployment and automated configuration management
Let’s work together to modernize your infrastructure, boost uptime, and cut costs—without compromising security or performance.
📩 Message me today to discuss your project!
Best regards,
Simran Sangha
Amazon Web Services
AWS CodePipeline
DevOps
DNS
AWS CloudFront
Cloud Migration
SSL
Database Administration
Linux System Administration
Terraform
Docker
Automation
Microsoft Azure
Jenkins
Scripting
Tushar B.
Gurugram, India
$15/hr
5.0
5 jobs
5+ YEARS OF EXPERIENCE
As Cloud & Platform Engineer with hands-on experience designing, building, and operating modern cloud-native platforms across AWS, Google Cloud Platform (GCP), and Microsoft Azure.
I work across infrastructure, Kubernetes, monitoring, security, automation, scripting, and cloud cost optimization, helping teams run scalable, secure, and cost-efficient production systems.
☁️ Multi-Cloud Infrastructure & Core Services:
• AWS: EC2, VPC, ALB/NLB, Auto Scaling, RDS, DynamoDB, S3, IAM, Route 53
• GCP: Compute Engine, VPC, Cloud Load Balancing, Cloud SQL, Cloud Storage, IAM
• Azure: Virtual Machines, Virtual Network, Azure Load Balancer, Azure SQL, Blob Storage, Azure AD
• Cloud networking, high availability, fault tolerance, and scalability design
☸️ Kubernetes & Container Platforms:
• Kubernetes (production workloads)
• Amazon EKS, Google GKE, Azure AKS
• Docker
• Helm, Kustomize
• Ingress controllers (NGINX, cloud-native ingress)
• Service networking and autoscaling (HPA, rolling updates)
⚙️ Infrastructure Automation & IaC:
• Terraform
• Infrastructure as Code best practices
• Environment provisioning and lifecycle management
• Cloud resource standardization and reuse
🚀 CI/CD, Deployment & DevOps Tooling:
• GitHub Actions
• GitLab CI/CD
• Jenkins
• Argo CD (GitOps)
. Octopus deploy
• Automated build, test, and deployment pipelines
• Zero-downtime deployment strategies
📊 Monitoring, Logging & Observability:
• Prometheus
• Grafana
• AWS CloudWatch
• GCP Cloud Monitoring & Logging
• Azure Monitor & Log Analytics
• Centralized logging, metrics, alerting, and dashboards
🔐 Security, Identity & Compliance:
• Kubernetes RBAC
• Secrets management (Kubernetes Secrets, cloud-native secret services)
• Cloud IAM (AWS IAM, GCP IAM, Azure AD)
• Secure container workloads and least-privilege access
• Basic vulnerability awareness and platform hardening
📦 Artifact & Container Registry Management:
• Amazon ECR
• Google Artifact Registry
• Azure Container Registry
• Image versioning, tagging, scanning, and lifecycle cleanup
💰 FinOps & Cost Optimization:
• Kubecost (Kubernetes cost monitoring)
• Cloud budgets and cost dashboards
• Resource requests/limits optimization
• Identifying idle, underutilized, and over-provisioned resources
• Cost-aware scaling strategies
⚙️ Automation & Scripting:
• Bash / Shell scripting
• Python for automation tasks
• Workflow automation and operational tooling
• Linux system administration
🛠️ Operations, Reliability & Support:
• Production troubleshooting and root cause analysis
• Performance tuning and capacity planning
• High availability and resilience improvements
• Documentation, runbooks, and team handover
I work with startups and engineering teams that need strong cloud platforms — whether setting up multi-cloud infrastructure, running Kubernetes at scale, improving observability and security, or controlling cloud spend.
Cloud Computing
DevOps
Computing & Networking
Amazon Web Services
Google Cloud Platform
CI/CD
Infrastructure as Code
Terraform
Docker
Kubernetes
Linux
Jenkins
Cloud Architecture
Microsoft Azure
Application Performance Monitoring Software
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