Hire the Best DevOps Engineers in California

I am a senior DevOps Engineer with over 11 years of experience. I am passionate about cloud computing, cutting-edge technologies, and crafting efficient solutions. I have configured complex infrastructures from scratch and completed multitude of cloud migrations. Core Qualifications: - 11+ years of experience - 36+ completed projects - Clouds: Amazon Web Services (AWS), Azure, GCP, DigitalOcean - Containers: Kubernetes, CoreOS, Docker - CI/CD: Jenkins, VSTS, GIthub Actions - Networking: Routing, switching, virtual networking - Hypervisors: VMware, Hyper-V - Automation: Ansible, AWS CloudFormation, Terraform - Databases: Mysql (Galera), PostgreSQL - Logging: Fluentd, Logstash, Elasticsearch, Kibana - Monitoring: Zabbix, Grafana, Prometheus - VPN: OpenVPN, IPsec. - Web: LAMP, Nginx

I am a Los Angeles-based Professional with 17+ years of work experience where I took roles of Full Stack Developer, Project Manager, Solutions Architect, Team Lead, DevOps Engineer, Project Consultant, Cloud Consultant, Cloud Architect, etc. I have a rich portfolio of Web and Mobile Apps(both iOS and Android). ***************** I have led Projects for well-known companies like Sony Pictures, Paramount Pictures, 20th Century Fox, Prince Cruise Line(PCL), Masimo, and Creative Artist Agency. ***************** As a Full Stack Developer/Team Lead/Project Manager/Solutions Architect I have extensive experience with a Web application, Mobile Applications, Desktop Application Development, UI/UX Design, Tech Support, Cloud Architect, and Consulting Projects involving technologies like Wordpress, PHP, Java, Python, C#, Javascript, React, Angular, Node.js, Express.js, Shopify, Swift, Objective-C, React Native, AWS, GCP, Microsoft Azure, etc. - Build and develop the project team to ensure maximum performance, providing purpose, direction, and motivation. - Lead projects from requirements definition through deployment, identifying schedules, scopes, budget estimations, and project implementation plans, including risk mitigation. - To coordinate internal and external resources, ensuring projects remain within scope, schedule, and defined budgets, in collaboration with project staff from various functional departments. - Analyze project progress and, when necessary, adapt scope, timelines, and costs to ensure that the project team adheres to project requirements. - Establish and maintain relationships with appropriate client stakeholders, providing day-to-day contact on project status and changes As DevOps/Cloud Engineer I have extensive experience in designing, implementing, and maintaining complex Cloud-based infrastructure with a focus on security, scalability, and high availability. AWS Services: Deployment Automation: Proficient in automating deployment processes using AWS CloudFormation, Terraform, and Ansible to reduce errors and improve speed. Continuous Integration and Delivery: Skilled in setting up CI/CD pipelines using AWS CodePipeline, AWS CodeBuild, and Jenkins for automated build, test, and deployment processes. Monitoring and Alerting: Capable of setting up monitoring systems using AWS CloudWatch, Prometheus, and Grafana to identify performance issues proactively. Security and Compliance: Knowledgeable in implementing security best practices and automated compliance checks using AWS Config and AWS Security Hub. Cost Optimization: Experienced in optimizing AWS spending using tools like AWS Cost Explorer, AWS Budgets, reserved instances, spot instances, and auto-scaling. Microsoft Azure Services: DevOps Strategies: Proficient in designing and implementing effective DevOps strategies using Microsoft Azure for continuous integration, delivery, and deployment. Infrastructure Provisioning and Configuration: Experienced in provisioning and configuring Azure infrastructure using tools like Azure Resource Manager (ARM) templates and Terraform. Continuous Integration and Continuous Deployment (CI/CD): Skilled in establishing CI/CD pipelines using Azure DevOps for automated build, test, and deployment processes. Automation and Orchestration: Capable of automating tasks and processes using PowerShell, Azure CLI, Azure Automation, and Azure Logic Apps to streamline operations. GCP Services: Deployment Automation: Proficient in automating deployment processes using tools like Google Cloud Deployment Manager and Terraform to ensure consistency and reliability. Continuous Integration and Delivery: Skilled in setting up CI/CD pipelines using Cloud Build and Jenkins on GCP for automated testing, building, and deployment of applications. Monitoring and Alerting: Capable of implementing monitoring and alerting systems using Stackdriver Monitoring and Stackdriver Logging to identify and resolve issues promptly. Security and Compliance: Knowledgeable in implementing security controls and compliance standards using GCP Identity and Access Management (IAM) and Security Command Center. Cost Optimization: Experienced in optimizing costs on GCP using tools like Cost Explorer and Budgets, as well as utilizing features like sustained use discounts and preemptible VMs to minimize expenses. *****************

Your last DevOps person left and nobody knows how the infrastructure works. I've spent 8 years fixing exactly that for SaaS companies - Paramount+, LexisNexis, and three active clients right now. Top Rated Plus, 100% Job Success Score. ───── 🔧 I pick up where the last person left off. Your previous engineer quit, left half-finished Terraform and a pipeline migration that never got completed? I've walked into that exact situation at three companies this year. I absorb context fast, finish what they started, and hand your team a platform they can actually operate without me. If that sounds like your situation, send me a message with what's broken. I'll tell you what the fix looks like. 📋 Fixed scope. Clear outcome. 4-6 weeks. You know what you're getting and what it costs before we start. When I'm done, your infrastructure is codified in Terraform, your deployments are automated, and your team has operational documentation good enough that your junior engineers can run it. 30-day support window included after delivery. One client rebuilt their entire platform from zero in 79 minutes because of what I built. Another client raised my rate 40% on their own - I didn't ask. ☁️ AWS, GCP, Azure - whatever your stack needs. Kubernetes, ArgoCD, Linkerd, GitHub Actions, Azure DevOps. But you're not hiring me for tool names. You're hiring me so your infrastructure stops being the thing that keeps you up at night and starts being the reason you close enterprise deals. ───── ⭐ Government SaaS (Multi-Tenant Platform) -- Built the entire AKS platform from scratch. Linkerd service mesh enforcing mTLS tenant isolation. ArgoCD GitOps -- onboarding a new tenant is three config files. Full platform rebuild validated at 79 minutes. ⭐ Legal Tech SaaS -- Inherited half-finished Terraform fragments that didn't match what was running. Refactored into clean modules, built cross-cloud DR across GCP and AWS, automated deploys through GitHub Actions. Client raised my rate 40% unprompted. ⭐ Healthcare Finance SaaS -- Embedded after their DevOps engineer quit. 93+ PRs across 25+ repos in 5 months. JSON validation, pipeline migration, centralized templates, README enforcement org-wide. ───── If you've got infrastructure problems piling up and nobody to pick them up - send me a message and let's figure out the fix.

1M+ earned on Upwork building production AI/ML infrastructure for VC-backed startups and enterprise teams. Previously: Platform Engineer at Unstructured (open-source document ETL for LLMs and RAG pipelines, YC-backed) and Stack AI (enterprise AI workflow platform). 100% Job Success Score | 12,343 hours delivered | 102 projects completed AWS Certified Solutions Architect | San Francisco, CA Recent engagements: - Senior Platform Engineer (Python, AWS, Kubernetes) - 24K contract, 284 hours. Built GitOps pipeline reducing deployment cycles from 2 hours to 15 minutes. Maintained 99.9% uptime across production EKS clusters. - AWS backend for a Forbes-recognized VC-backed SaaS. Architected infrastructure handling 10K+ concurrent API requests, reduced AWS costs by 35% through right-sizing and reserved instance optimization. - Azure Virtual Desktop Architect and Technical Lead - designed multi-region AVD deployment for 500+ internal users. - Production data migration and infrastructure modernization - 15K contract, 218 hours. Migrated 50TB+ across cloud environments with zero downtime, automated data validation reducing manual QA by 80%. What I build: - Production AI/ML pipelines on AWS (EKS, Lambda, SageMaker) - Multi-agent systems and MCP server deployments on Kubernetes - Self-hosted LLM infrastructure (Llama, open-weight models) - ML model serving, monitoring, and inference optimization - Terraform IaC, GitOps pipelines, CI/CD for AI workloads - Cloud cost optimization for GPU-heavy and inference environments How I work: I partner with CTOs and engineering leads who need AI infrastructure that scales without breaking. No boilerplate. Every architecture decision is documented, versioned, and handed over so your team can maintain it independently. Engagement formats: - AI Infrastructure Audit (fixed scope, 5-day turnaround) - Full platform build (4-12 week engagements) - Ongoing AI/ML platform engineering (monthly retainer, async-first) Available now. Click Invite to Job to discuss your architecture.

Free AWS audit upfront. Full refund on the first milestone if you're not satisfied. 100+ AWS migrations. Zero unplanned downtime. Cloud costs cut by up to 60%. SOC 2 passed after a 30-day security audit. I am Ibrahim, a senior AWS DevOps engineer with 9+ years building, securing, and scaling cloud infrastructure for SaaS platforms, fintech teams, and e-commerce companies. I specialize in AWS, Kubernetes (EKS), Terraform, Docker, CI/CD pipelines, and cloud security What I’ve already done in environments like yours: Migrated 100+ production environments from EC2 to EKS with zero unplanned downtime. Full Kubernetes orchestration with Docker containers, Helm charts, and Terraform-managed infrastructure as code across multi-region AWS architectures. Cut CI/CD deployment time from 4 hours to 12 minutes using GitHub Actions and GitLab CI/CD with blue-green deployment, automated rollback, and ArgoCD-driven GitOps workflows. Reduced AWS cloud costs by 30 to 60 percent through EC2 right-sizing, spot instance strategy, auto-scaling groups, Lambda serverless optimization, and ECS Fargate consolidation. Average client savings: $4,200 per month. Cleared 44 of 47 AWS security findings in 30 days for a fintech client. Passed SOC 2 Type I on the first attempt with full compliance controls across IAM, CloudTrail, GuardDuty, WAF, Security Hub, and AWS Config. Built HIPAA-compliant Kubernetes infrastructure on EKS with encrypted RDS databases, VPC isolation, private subnets, and continuous compliance monitoring via Prometheus, Grafana, and Datadog. Managed AWS EKS infrastructure for 30+ client environments with 99.9 percent uptime, zero major outages, and full observability with CloudWatch, ELK Stack, and Prometheus alerting. Designed multi-region AWS architectures handling 50,000+ concurrent users for e-commerce and fintech platforms using EKS, CloudFront, S3, RDS, ElastiCache, and Route 53. I'll work best with you if you are: A SaaS or fintech team whose AWS bill keeps growing. You need DevOps cost optimization, EC2 right-sizing, and cloud infrastructure cleanup. An engineering team that needs Kubernetes (EKS) built, secured, and maintained without a full-time DevOps hire. I handle Docker containerization, Helm charts, and container orchestration. A CTO scaling fast who needs AWS infrastructure that will not break under load. Auto-scaling, load balancing, multi-AZ failover, and high-availability architecture. A company preparing for SOC 2, HIPAA, or ISO 27001 compliance. I build cloud security controls, DevSecOps pipelines, and audit-ready AWS environments from scratch. A team migrating from legacy EC2, on-premise servers, or Elastic Beanstalk to Terraform-managed, containerized infrastructure on EKS or ECS with full CI/CD automation AWS DevOps & Cloud Security for Compliance-Ready Teams: I'll help you build AWS cloud infrastructure that is fast to ship, hard to break, and ready for serious security and compliance demands. My core strength is turning your aws environments into secure, compliant, production-ready platforms with strong AWS cloud security, DevSecOps, and clear controls for SOC 2, HIPAA, and ISO 27001. I work with your existing tech stack: AWS | Kubernetes / EKS / GKE | Terraform | Ansible | Docker | CI/CD | GitLab CI/CD | GitHub Actions | CodePipeline | Prometheus | Grafana | Datadog | Security Hub | GuardDuty | WAF | Shield | IAM | CloudTrail | ELK Stack | GCP How to Get Started: Send me a message with a quick overview of your AWS environment, your biggest infrastructure pain point, and where you want to be in 30 days. I will reply with a clear DevOps action plan. No pitch. Just what I would do differently with your Kubernetes clusters, your Terraform configs, your CI/CD pipeline, and your cloud security posture.

AI/ML engineer who builds and scales production-grade systems — from LLM applications and ML pipelines to data platforms, cloud infrastructure, and APIs. I specialize in taking AI systems from prototype → production, with a strong focus on reliability, scalability, and cost efficiency. Currently an AWS DevOps Consultant working with Fortune 500 companies to modernize infrastructure, build data pipelines, and operationalize AI at scale. 𝐑𝐄𝐂𝐄𝐍𝐓 𝐖𝐎𝐑𝐊 - End-to-End MLOps Platform for Fraud Detection — built automated training, validation, and deployment pipelines using Kubernetes + Terraform, integrating data ingestion, feature processing, and model monitoring. - Fraud Detection ML Model — developed and deployed a machine learning model for anomaly detection using structured transaction data, including feature engineering, data preprocessing, model evaluation, and real-time inference via APIs. - Data Pipeline & Processing Systems — designed scalable pipelines (batch + near real-time) for analytics and ML, with integrated reporting and data visualization for stakeholders. - LLM + RAG Applications — built retrieval-augmented generation systems using embeddings and vector search over internal datasets, enabling intelligent document querying and knowledge automation. - LLM-Powered Engineering Workflows — implemented AI-assisted development pipelines using OpenAI APIs for code generation, testing, and rapid prototyping. - Large-Scale Kubernetes (EKS) Migration — migrated 150+ applications to EKS, reducing cloud costs by 65% while improving system performance and resilience. - Cloud-Native AI Infrastructure — built scalable microservices and ML-serving systems with Docker, Kubernetes, and API-based model inference. 𝐖𝐇𝐘 𝐌𝐄 I bring a combination of AI/ML, data engineering, and DevOps expertise — which means I can own the full lifecycle: data → model → deployment → scaling → visualization. With an MBA in Data Science and consulting experience at AWS, I focus on building systems that deliver real business value — not just technically correct solutions. 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 - AI / ML: Python, R, scikit-learn, TensorFlow, PyTorch — feature engineering, model evaluation, ML pipelines - LLM / GenAI: LLM fine-tuning, prompt engineering, RAG (retrieval-augmented generation), multi-agent systems, LangChain, Hugging Face - Data Engineering: ETL/ELT pipelines, Pandas, Apache Spark, Airflow, Kafka, AWS Glue, Lambda - Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI - MLOps: Kubernetes, Kubeflow, MLflow, Docker, KServe, DVC, W&B, Seldon - Backend & APIs: FastAPI, REST APIs, Node.js, microservices, distributed systems - Cloud & DevOps: AWS (EKS, S3, IAM, VPC, Lambda, SageMaker), GCP, Azure, Terraform, Helm, Jenkins, ArgoCD, GitOps, Grafana, Prometheus - Data Storage: PostgreSQL, MongoDB, S3, Redis, FAISS, Pinecone 𝐃𝐎𝐌𝐀𝐈𝐍 𝐒𝐏𝐄𝐂𝐈𝐀𝐋𝐓𝐈𝐄𝐒 MLOps & ML systems • LLM & RAG applications • Data pipelines & ML workflows • Data visualization & dashboards • Kubernetes & cloud-native systems • AWS architecture • CI/CD & automation • Cost optimization If you need someone who can build the full stack of AI — from data pipelines to production ML systems — I can help.