Hire the Best DevOps Engineers in New York

I build AI-powered automation workflows that save businesses hours of manual work every week. Whether you need to automate content generation, streamline lead capture, or connect your tools with intelligent workflows, I deliver solutions that run reliably without constant oversight. What I do: - Custom AI workflow development using n8n - LLM integrations (ChatGPT, Claude, custom prompts) - Automated content pipelines (emails, SMS, reports, summaries) - Lead capture and CRM automation - Webhook and API integrations My approach: I focus on building workflows that actually work in production, not just demos. Every automation I create is documented, tested, and designed to scale with your business. Tools I work with: n8n, OpenAI API, Anthropic Claude, Airtable, Google Sheets, Twilio, webhooks, REST APIs and more Ready to automate the repetitive tasks draining your time? Send me a message with what you're looking to build. Certifications: Microsoft Certified: DevOps Engineer Expert Microsoft Certified: Solutions Architect Expert Microsoft Certified: Azure Administrator Associate Microsoft Certified: AI Fundamentals

Experienced DevOps Engineer, Backend Developer, and AWS Cloud Architect with 6+ years of hands-on experience building, automating, and operating production systems. Prior to my engineering career, I spent 3 years as an AWS Professional Services Consultant, helping enterprise customers design secure, scalable, and production-ready cloud environments. Today, I work across the entire software delivery lifecycle from application development to infrastructure, automation, deployment, and ongoing operations. I specialize in helping startups and growing businesses build reliable systems, streamline development workflows, optimize cloud costs, and accelerate product delivery. I have extensive experience designing and developing Backend applications, REST APIs, cloud-native architectures, AI-powered systems, and automated deployment pipelines. My approach combines strong software engineering practices with deep cloud and infrastructure expertise, allowing me to bridge the gap between development and operations while delivering solutions that are scalable, secure, and maintainable. Technical Expertise Backend Development • Python • Java • JavaScript Frameworks • Django • Flask • Spring Boot Databases • PostgreSQL • MySQL • MariaDB • DynamoDB • Redis API Development • RESTful APIs, • Integrations, • Microservices Architecture AWS & Cloud Technologies EC2, ECS, EKS, Lambda, S3, RDS, DynamoDB, VPC, IAM, CloudFront, Route 53, Step Functions, Glue, MWAA, CloudWatch Infrastructure as Code Terraform, CloudFormation, AWS CDK Containers & Orchestration Docker, ECS Fargate, EKS CI/CD & Automation GitHub Actions, GitLab CI/CD, Jenkins, AWS CodePipeline Monitoring & Observability CloudWatch, Grafana, Prometheus AI & Agent Engineering Claude, OpenAI, Gemini, AI-powered applications, agent workflows, workflow automation, Retrieval-Augmented Generation (RAG), prompt engineering, AI integrations, and AI-assisted software development workflows. Recent Project Highlights • Built a professional services automation platform using Django to streamline business operations and internal workflows. • Developed a custom inventory management system for a client, enabling efficient inventory tracking and operational management. • Designed and implemented REST APIs for a data analytics company, delivering scalable data services that helped clients make data-driven business decisions. • Reduced a client's AWS cloud spend from approximately $5,000/month to $1,500/month through infrastructure right-sizing, storage lifecycle optimization, and resource utilization analysis. • Migrated more than 30 services from EC2 to ECS Fargate while implementing automated CI/CD pipelines to improve deployment consistency and operational efficiency. • Transformed a single-account AWS environment into a secure multi-account architecture using AWS Control Tower, centralized governance, and IAM best practices. • Built large-scale data infrastructure leveraging AWS Glue, MWAA, Step Functions, and S3 to support automated ETL and analytics workloads. • Automated cloud infrastructure for development teams using Terraform, enabling fully version-controlled, repeatable infrastructure deployments. • Implemented blue/green and canary deployment strategies to reduce deployment risk and improve system reliability. • Created reusable CI/CD templates and DevOps tooling that improved developer productivity and standardized deployment practices across multiple organizations. • Designed and integrated AI-powered features and workflow automation using modern LLM platforms, helping teams automate repetitive tasks, improve productivity, and accelerate software delivery. AWS Certifications • AWS Certified Solutions Architect – Associate • AWS Certified Developer – Associate • AWS Certified Cloud Practitioner 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 Whether you need a backend engineer, DevOps specialist, AWS architect, or a technical partner who can own both the application and infrastructure layers, I can help turn ideas into reliable, production-ready systems. I focus on delivering scalable, secure, and cost-effective solutions while maintaining clear communication, strong engineering practices, and long-term maintainability. From building web applications and APIs to architecting AWS environments, automating deployments, implementing AI-powered workflows, and optimizing cloud infrastructure, I bring a practical, business-focused approach to solving technical challenges and delivering measurable results.

Hello, my name is Timothy. I'm a AWS DevOps Engineer. I specialize in Serverless applications on Amazon Web Services (AWS). My expertise is centered around core AWS services such as Lambda, Amazon ECS (*on Fargate or EC2), DynamoDB, API-Gateway, CloudFront, Amazon Route 53, Fastly CDN, and the many other services that compliment them to enable a production-ready environment. Recent Projects: ⦁ Three-Tier Network VPC on AWS ⦁ Synapse Matrix server deployment with Docker and EC2 (Video & Audio calls enabled) ⦁ Migration from Vercel to Amazon ECS (on EC2) ⦁ Fastly and AWS log & metric aggregation with Datadog ⦁ Datadog SIEM ⦁ Custom AWS Lambda Authorizer ⦁ Fastly CDN integration ⦁ Custom Fastly log aggregation and parsing with AWS (Lambda, DynamoDB, Firehose, etc.) ⦁ Application deployment on Amazon ECS (on Fargate) ⦁ CI/CD from GitHub to Amazon ECS with semantic versioning ⦁ AWS Secrets Manager and Parameter Store for Lambda and Amazon ECS parameters ⦁ RSS Aggregator

Having almost two decades of technology experience at the consultancy level your projects are in good hands at UptimePros. The focus has always been helping businesses implement automation solutions across various technologies, tools, and business units. To stay advantaged in the consultancy space the most proven and cutting edge solutions would be tailored for each client. By narrowing our scope to DevOps and Site Reliability clients were able benefit from enterprise system capabilities without hiring teams of engineers - regardless of their size. In the new era of AI capabilities our advantage again is being ahead of the competition in tools, knowledge, and ability to deliver value. Every businesses should carefully evaluate processes that would benefit AI speed and availability. We will demonstrate how AI can help as an internal knowledge base maintainer, accountant, social media engagement, coding assistant or something else entirely. In the UptimePros implementation it was found that the mass market public tools have limitations and are difficult to use, optimize, or just understand. We built our own AI cluster immediately achieving better results and comprehension without surprising bills. Of course we know how to implement foundational cloud AI model subscriptions (such as Open AI or Anthropic) as well and recognize their value for some clients use cases. Our deeper understanding of the underlying technology helps business leaders propel their AI journey with an amount of support and implantation right for you.

I help teams build, automate, and stabilize cloud-native platforms. My work is centered on Kubernetes, CI/CD, AWS infrastructure, Terraform, and delivery automation. I’ve worked on Jenkins and GitHub Actions pipelines, EKS and self-managed Kubernetes environments, Helm-based deployments, ingress/TLS/DNS setup, observability, backup/recovery, and secrets management with Vault. I’m strongest in environments where the goal is to reduce manual work, standardize deployments, and make platforms easier for engineering teams to use and support. I can help with work such as: Building or improving CI/CD pipelines with Jenkins or GitHub Actions Deploying and operating applications on Kubernetes using Helm Provisioning AWS infrastructure with Terraform Setting up secure secrets and access workflows with Vault Improving observability with Prometheus, Grafana, and ELK Supporting platform reliability with backups, recovery, and operational runbooks Troubleshooting deployment, networking, ingress, and cluster issues I’ve worked across AWS, Hetzner, Kubernetes, Docker, Terraform, Jenkins, GitHub Actions, Argo CD, Vault, Istio, Prometheus, Grafana, ELK, and Bash/Python automation. If you need someone to improve delivery workflows, support Kubernetes-based platforms, or automate infrastructure in a practical way, send me the details of your environment and what you’re trying to fix.

I use my software development skills to write clean code and build secure web applications for my clients. I use DevOps industry standards, along with Ethical Hacking recon work flows to test and identify injection points in Web Applications. I am extremely passionate about Application Security, and I enjoy helping other businesses have a safe and secure web presence with a stress and anxiety free deployment.