Hire the Best DevOps Engineers in Surat, IN

I build self-healing infrastructure and pipelines that save you 10+ hours a week. You are looking for a reliable DevOps engineer to automate your deployments, secure your AWS infrastructure, or fix a broken pipeline. You don’t just want code — you want a system that lets your developers sleep at night. With 4+ years of experience, I help SaaS founders and CTOs move from manual chaos to automated excellence. Here is how I can help you immediately: Automate Deployments Building reliable CI/CD pipelines using Jenkins, GitHub Actions, and GitLab so you can release in minutes instead of hours. Cloud Optimization Designing secure AWS environments (EC2, RDS, S3) and reducing your monthly cloud spend. Containerization Dockerizing applications and managing Kubernetes clusters for high availability and zero-downtime deployments. Infrastructure as Code Using Terraform and Ansible so your infrastructure is reproducible, scalable, and stable. Why clients trust me: I don’t just run commands — I document everything so your team can maintain it later. I prioritize security and cost efficiency in every setup. I’m available for both urgent troubleshooting and long-term infrastructure ownership. Let’s hop on a call to review your current setup and find quick wins. Purushotam S. DevOps & Cloud Automation Expert

Deployed 100+ cloud infrastructures Reduced deployment time by 70% for SaaS clients Senior DevOps Engineer with 7+ years of experience designing, scaling, and optimizing cloud infrastructure for startups and growing products. I specialize in building production-grade systems on AWS and Kubernetes that are reliable, cost-efficient, and easy to operate. My work focuses on eliminating downtime, improving deployment speed, and maintaining predictable infrastructure as systems scale. What I Deliver: Cloud Infrastructure (AWS / GCP / Azure) Architect and manage secure, scalable environments using best practices. Kubernetes & Containerization Production-grade deployments on EKS, GKE, AKS with Docker-based workflows. Infrastructure as Code (IaC) Terraform / CloudFormation setups for repeatable, version-controlled infrastructure. CI/CD Automation Fast and reliable pipelines using GitHub Actions, GitLab CI, Jenkins. Cost Optimization Proven track record of reducing cloud costs by 30–40% without performance impact. Monitoring & Reliability End-to-end observability using Prometheus, Grafana, ELK, CloudWatch. Impact from Recent Projects: Reduced AWS infrastructure cost by 40% through rightsizing and architecture changes Improved deployment speed by 3x using optimized CI/CD pipelines Maintained high-availability production systems (99.9%+ uptime) Migrated legacy systems to cloud-native architectures with zero downtime How I Work: Focus on long-term stability, not quick fixes Clear communication and ownership of infrastructure Design systems that scale without constant firefighting If you need a DevOps engineer who can own your infrastructure, reduce risk, and scale your system cleanly, we should discuss your project. End-to-end system design DevOps + Development ownership Scalable full-stack architecture Cloud-native application development Infrastructure + application optimization DevOps | Kubernetes | Docker Terraform | CI/CD | Amazon Web Services Microsoft Azure | Google Cloud Platform | AWS Lambda AWS Server Migration | Jenkins | Node.js React | API Integration | DevOps Engineering AI Development | Azure DevOps | Cloud Architecture Infrastructure as Code | Amazon EC2

Most GenAI projects look fine in a demo. They break in production. I fixed that part. I build AI and AWS systems that handle real traffic, real failures, and real AWS bills. The boring, reliable kind. The stuff you can run at 3 AM without paging the on-call. I usually get pulled in when teams hit one of these walls: - RAG works in dev, hallucinates or times out under real load - AWS bill grew 4x in six months and nobody can explain why - AI agent demo got approved, now production keeps breaking - Serverless setup is held together with duct tape and prayers - Team needs a senior pair for one hard architecture call What I actually ship: Production GenAI on AWS. Bedrock, Claude, OpenAI through proper grounding. Retrieval pipelines that handle messy enterprise docs. Hallucination control with structured outputs and validation. Cost per request is tracked from the start, not after the invoice arrives. AWS serverless and event-driven systems. Lambda, API Gateway, DynamoDB, Step Functions. EventBridge and SQS for failure isolation. Terraform or CDK for everything. Lambda Powertools so observability is something you can actually debug. Cost and reliability work. Spotting where AWS spend is bleeding. Multi-region thinking when it matters and not when it doesn't. DR strategies that fit the actual budget, not someone's slide. Recent contracts on Upwork: - 686 hours on a single contract building a Cognito + Lambda + SQS auth and MFA system. Shipped to production without a rollback. - AWS cost optimization audit for a SaaS platform. Real architecture analysis, not generic "buy reserved instances" advice. - AWS infrastructure rewritten in Terraform. Took a messy setup and made it repeatable and safe to roll out. - Currently mid-contract on AI development and production infrastructure work for a US client. Earlier work: - Audit logging system at a previous role, handling over a million requests per minute on ECS and EKS. - AI agent layer for a SaaS platform that cut internal dev cycles by 60%. - Serverless rebuild that hit 99.9% availability with 40% lower run cost. Stack: AWS Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SQS, Bedrock, SageMaker, Cognito, EKS, ECS, Fargate. Terraform, CDK, OpenTofu. LangChain, OpenAI API, Claude API. Python, Node.js, Go. Lambda Powertools, CloudWatch, Datadog. GitHub Actions, ArgoCD, Jenkins. Background: 8 years in production cloud and platform work. AWS Certified Generative AI Developer. AWS Community Builder, Serverless track. Currently Senior DevOps Engineer at ASTM International alongside consulting. Where I tend to push back: - Fully autonomous agents in production. Most use cases are cleaner as deterministic flows with one model call. - Clever architecture over boring architecture. Boring AWS beats clever AWS, every time. - Microservices when a monolith would ship faster. What I will not pretend to do: pure ML research, training models from scratch, anything that needs a PhD in stats. I am a platform person who ships AI systems on AWS. Not a model person. If an idea is bad, I will say so, with the production reason. You are not paying me to nod. How to start: Send me a paragraph about your stack, what you are trying to ship, and what is currently failing. I will come back within 6 hours with a short architecture review. Three things I would change first. Cost impact at 10x scale. What fails first when one component breaks?

👨‍💻 About Me Hi there! I’m a passionate DevOps Engineer with hands-on experience in building scalable, secure, and automated infrastructure using modern cloud and DevOps tools. I specialize in streamlining development and deployment processes, helping businesses release faster, reduce downtime, and improve overall system reliability. 🚀 ⚙️ What I Bring to the Table 💡 DevOps & Cloud Expertise I have practical experience working with AWS, Docker, and CI/CD pipelines, ensuring smooth and efficient application deployment. I focus on automation, scalability, and performance optimization. 🔄 CI/CD Automation Skilled in designing and maintaining CI/CD pipelines using Jenkins and GitHub Actions, enabling faster and more reliable software delivery. 🐳 Containerization & Deployment Experienced in containerizing applications using Docker and managing deployments in cloud environments, making applications portable and efficient. ☁️ Infrastructure as Code (IaC) Proficient in using Terraform to provision and manage infrastructure, ensuring consistency and reducing manual errors. 🔍 Monitoring & Troubleshooting Strong problem-solving skills with the ability to monitor systems, identify issues, and ensure high availability and performance. 🧠 Core Skills ✅ AWS (EC2, S3, IAM) ✅ Docker & Containerization ✅ CI/CD Pipelines (Jenkins, GitHub Actions) ✅ Terraform (Infrastructure as Code) ✅ Linux & Shell Scripting ✅ Git & Version Control ✅ System Monitoring & Debugging ✅ Deployment Automation 🏭 What I Can Help You With ✔️ Build and optimize CI/CD pipelines ✔️ Deploy applications on AWS ✔️ Dockerize your applications ✔️ Automate infrastructure using Terraform ✔️ Improve system performance and reliability ✔️ Fix deployment and server issues 💬 Let’s Work Together! I’m committed to delivering reliable, scalable, and efficient solutions that help your business grow. Whether you need help with deployment, automation, or cloud infrastructure I’m here to help. 📩 Let’s connect and build something amazing together!

I’m a DevOps engineer and AI-focused Python backend developer with a strong track record of delivering production-ready cloud systems and intelligent automation workflows. Over the past 25+ projects on Upwork, I’ve helped clients turn prototypes into scalable, secure, and cost-optimized solutions. I also specialize in AWS SageMaker, where I design, train, and deploy custom machine learning models as part of robust AI pipelines. Beyond that, I deploy AI-driven workflows with LangGraph, OpenAI APIs, and vector databases such as FAISS or Pinecone, ensuring seamless integration with cloud-native infrastructure. My work often involves deploying LLM-powered applications and autonomous agents to AWS using CI/CD pipelines, Docker, and Terraform. I’m comfortable designing serverless and container-based pipelines with Lambda, ECS, and S3, and automating backend logic using Python frameworks like FastAPI and Flask. My approach balances performance, cost efficiency, and reliability, with attention to security, monitoring, and IAM best practices.

🚀 Are you looking for a developer who can 𝐛𝐮𝐢𝐥𝐝, 𝐝𝐞𝐩𝐥𝐨𝐲, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐞 your application not just write code? I help startups and businesses turn ideas into 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐰𝐞𝐛 𝐚𝐧𝐝 𝐦𝐨𝐛𝐢𝐥𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 with a strong focus on 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲. With 𝟒+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, I specialize in building: ✅ SaaS platforms ✅ Admin dashboards ✅ CRM & ERP systems ✅ Cloud-based scalable applications --- 💼 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘄𝗶𝘁𝗵: 🔹 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✔ React.js, Next.js, TypeScript ✔ High-performance UI & responsive design ✔ SEO-friendly, optimized applications 🔹 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✔ Node.js, Express.js, REST APIs, GraphQL ✔ Python for APIs, automation & integrations ✔ Secure and scalable architecture 🔹 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 & 𝐃𝐚𝐭𝐚 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 ✔ MongoDB, PostgreSQL, MySQL ✔ Data migration between databases ✔ Query optimization & performance tuning 🔹𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝 (𝐂𝐨𝐫𝐞 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡) ✔ Azure: App Services, VNet, API Management, Key Vault, Monitoring ✔ AWS: EC2, S3, Lambda, API Gateway, DynamoDB, CloudFront, WAF & Shield ✔ CI/CD with GitHub Actions & Azure DevOps ✔ Docker containerization & automated deployments ✔ Security testing: SAST, DAST, logging & monitoring 🔹 𝐌𝐨𝐛𝐢𝐥𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✔ React Native apps with API integrations --- 🔥𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐦𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭: ✔ I build 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, not just features ✔ Strong expertise in 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭, 𝐬𝐜𝐚𝐥𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 ✔ Clean, maintainable, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐜𝐨𝐝𝐞 ✔ Fast delivery with 𝐜𝐥𝐞𝐚𝐫 𝐚𝐧𝐝 𝐩𝐫𝐨𝐚𝐜𝐭𝐢𝐯𝐞 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 --- 🌍 I’ve worked with clients globally (US, UK, and more), delivering 𝐒𝐚𝐚𝐒 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬. --- 💬 𝐈𝐟 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐚 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐰𝐡𝐨 𝐜𝐚𝐧 𝐭𝐚𝐤𝐞 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐟𝐫𝐨𝐦 𝐢𝐝𝐞𝐚 → 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 → 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 → 𝐬𝐜𝐚𝐥𝐢𝐧𝐠, 𝐥𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐚𝐧𝐝 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭