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At this point probably you've already read dozens of AI-generated or copy-pasted "100% Job success, Top Rated 👑" profiles overviews of other freelancers and I bet you don't want to read another one. To make it short - I'm proficient at AWS as Solutions Architect and DevOps, worked with all the main services, including AI/ML (such as Bedrock, Rekognition, Textract, etc.); also I have a big experience with PHP backends and Python. Key points: * Doing things in a proper way is my priority. E.g. I will never create static AWS IAM key for an app running on EC2 instance, even if your dev team insists on that (probably simply because they don't have enough expertise) - the proper way to do that is to leverage IAM roles, because this is much more secure. I already had several customers suffering from conflicts with their dev teams where dev teams simply destroyed their setup, because they had static IAM keys, while with IAM roles that would be impossible * I always support my customers after the contract is ended. I cannot do 24/7 support, but believe me, in case of any issue, I'll respond as soon as possible * If you hire me for resolving some bug/issue and it's not resolved by me - I won't charge you. Please note, that this applies to initially described bug/issue; in a situation when there is a next bug appears after the first one is fixed - I'll let you know if I can solve it or no and what will be an additional cost (typical example - after the fix of SSL issue it turns out that site is not working due to some mistakes in code - this is different issue, not related in any way to the first one) * I'm not a good fit for any job that requires 24/7 support even with rotation - even though I'm responding as fast as I can - I cannot always guarantee that * I can work via screenshare, but that's not as efficient as direct access, and therefore will be more expensive as more time will be spent Thanks for reading this and looking forward to our collaboration.

As a Principal AI Strategist and a key leader at TheFutureLab agency, I help businesses move beyond AI hype to build intelligent systems that deliver measurable value. With over a decade of engineering leadership experience—from managing teams at top-tier companies and serving as a multi-time CTO—I bridge the gap between ambitious AI concepts and production-ready, strategic solutions. I specialize in turning complex ideas, like AI Agents, into tangible business assets. My core services include: - AI Strategy & Roadmap Development: Defining a clear, actionable path to high-impact AI implementation. - AI Agent & Generative AI Solutions: Architecting and overseeing complex, automated systems that drive efficiency and growth. - Fractional CTO & Technical Leadership: Providing the senior guidance needed to manage your engineering team and de-risk your projects. - AI-First Org Design: Structuring your teams for effective human-AI collaboration. Ready to build your AI-powered future? Let's connect to discuss how I can bring strategic clarity and expert execution to your vision.

Hi👋 Will help you as a Java / Cloud architect, senior developer, and team lead with over 21 years of experience in the area (more than 150 projects delivered). We focus on RELIABLE software, and mission-critical operations, for which we use custom reliability technology for software (EDC), to prevent business downtime. I can help you with: • Cloud applications, scalable systems, • AI and LLM integration and development, • API design, development and integration, • High load/data volumes, predictive analytics, • Software for robots and machinery, • Internet of Things (IoT), • Reliable, safety and mission-critical systems. I EARN/SAVE MONEY💰 FOR OUR CUSTOMERS by: • allowing their business to expand (or start sometimes:) • automating processes and reducing operational cost • using newer and more efficient technology • long-run cost reduction because of high-quality software. Don't take my word for it, please review my profile feedback. Some techs below... ✅ Cloud applications Cloud, serverless, scalable applications, architecture and development for Amazon Web Services (AWS) and Google Cloud Platform (GCP). ✅ AI development and integration Embed AI-powered tools to your business and software: AI analytics, predictive maintenance, LLM, chatbots, ChatGPT integration, AI over your data helping your clients. ✅ Complex system development, API integration and development Develop custom software from A to Z, build sophisticated APIs, integrate third-party APIs, data hubs and gateways. ✅ Big data volumes processing, storage, and analytics Receive, process, store and analyze and send huge volumes of data. Cost-efficient data-focused systems on the cloud. ✅ Internet of things (IoT) Connect and manage thousands of simple and complex devices on the cloud, custom automation, reports and analytics. ✅ Other Workflow automation, Performance optimization, QA automation. Some tech details: ✓ Java: Java 8 and further versions, Spring, JavaEE, JavaFX ✓ Spring: SpringBoot, Spring MVC, Spring Security, Spring Data, ... ✓ Cloud: AWS, Google Cloud, Docker, Kubernetes, ECS, EKS, Cloud-native apps, scalable clusters, zero-downtime deployment. ✓ AI: ChatGPT, LLM, Vertex AI, Chatbots. ✓ Databases: Oracle/PostgreSQL/MySQL, big volume storage (AWS Redshift, AWS Athena/S3, Aurora, Cassandra, HDFS), Redis, MongoDB, Neo4j. ✓ Web: Bootstrap, Angular, React, JavaScript, OAuth, Tomcat, JBoss. ✓ APIs: REST, SOAP, XML-RPC, WebServices, WebSockets, Swagger/OpenAPI 3 etc. ✓ AWS: Clusters, AWS EC2, AWS Kinesis, AWS Athena, AWS Redshift, AWS DynamoDB, AWS Lambda, AWS IoT, AWS SQS/SNS, AWS CloudFront/Route53/ApiGateway, vast AWS API usage, and automation. ✓ Data streaming: AWS Kinesis, Firehose, SQS/SNS, Kafka, Camel, RabbitMQ. ✓ Performance optimization: JMeter, JProfiler, AWS X-Ray, GTMetrix, Gatling. ✓ Version control: Git, Github, Bitbucket, GitLab, SVN. ✓ CI/CD: Bamboo, Jenkins, Circle CI, Sonar, Bitbucket pipelines, AWS CodeBuild/CodeDeploy. ✓ Other: Maven, Nexus, Gradle, Ant. I get things done.

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.

AWS certified full-stack developer with extensive experience in creating scalable distributed web applications for large and small businesses. 👨‍💻 8+ years in programming 🎓 Master's degree in Computer Science 🛠️ My Expertise: - Front-End: React, JavaScript, HTML5, CSS3, jQuery, Bootstrap - Back-End: Node.js, Java, Kotlin - Databases: MongoDB, MySQL, DynamoDB - Version Control: Git - Cloud: AWS – certified developer Looking forward to connecting, Paul.