Hire the Top Freelance Aws Eks Developers in the World

Ozan is a Senior AWS Certified DevOps & Data Engineer with 10+ years of experience designing, implementing, and optimizing scalable cloud infrastructures. He specializes in automating CI/CD pipelines, data pipelines, and serverless architectures on AWS. Ozan is an expert in Python, PySpark, AWS CloudFormation, Terraform, and AWS Glue, with a proven track record of improving deployment efficiency and reducing costs. His experience further extends to cloud security, IaC, and working with Data Science teams on Machine Learning projects.

Stepan is an experienced Back-end Developer whose technical expertise includes back-end web development, Computer Vision, Data Science, and Deep Learning, among others. He specializes in Python to develop interactive web applications with intuitive user experiences for enterprise clients in Europe, US, and CIS across domains like retail, hi-tech, gaming, and public sector. Stepan creates scalable and robust common components that can be used across the whole framework and is committed to maintaining cutting-edge technical skills and up-to-date industry knowledge while delivering the right solutions. His recent work includes architecting and creating the infrastructure for a huge cloud solution.

Carlos is a Senior DevOps/Security Engineer developing cloud-based security policies using DevOps best practices and DevSecOps principles to deliver high-performing solutions on projects. He maintains subject-matter expertise on cloud infrastructure, security analysis, and CI/CD processes, working with different automation tools to streamline solutions, manage platform integrations, and optimize DevOps-related processes. Carlos develops creative strategies to optimize server and network performance while developing and supervising cross-functional teams to implement security and performance upgrades.

Yuri is a Senior Software Architect & Engineer with expertise in AI-driven software engineering and 20 years of experience building innovative software solutions. He specializes in API, systems design, distributed systems, microservices, cloud deployment, data engineering pipelines, and AI infrastructure. Yuri focuses on harnessing an innovative approach to tech applications, the transformative power of AI, particularly in finance, and SDLC management. He has a keen eye for efficiency and innovation and an understanding of how generative AI is reshaping industries, which promises operational excellence and a scaling potential for clients.

Rajib is a Certified AWS Solution Architect and software professional in project execution and delivery with 16+ years of experience in development and software architectural design, SDLC models, process models, and software design patterns. He works with back-end and front-end technologies using various languages, frameworks, and tools. Rajib is also passionate about mentoring and teaching to help team members to improve their technical and interpersonal skills.

Shreyank is a Senior Full-stack Python Engineer with 11+ years of experience designing and building scalable back-end systems, APIs, real-time data applications, and distributed services across AWS, Azure, and GCP environments. He designs, builds, and scales data systems that power critical business decisions and ML platforms, specializing in turning complex data challenges into secure, performant, and production-grade solutions. Passionate about creating reliable, observable, and cost-efficient data systems, Shreyank has architected real-time streaming data pipelines, batch ETL workflows, cloud-native lakehouses, and analytics platforms that handle billions of records.

Rohit is a Software Engineer with experience in Data Engineering and Machine Learning operations. He has worked on optimizing data ingestion pipelines, migrating pipelines, and transitioning tables to Databricks Unity Catalog. Rohit has experience with Azure, Databricks, Kubernetes, and various other technologies. He is also certified in Databricks, AWS, Dataiku, and other skills.

Rajesh is a Senior Full-stack Java Developer building enterprise-grade applications with Java, Spring Boot, React.js, and microservices architecture. He designs and develops responsive UI components using React 18, RxJS, and Redux, integrated seamlessly with secure Spring Boot APIs via JWT/OAuth2. Rajesh also has extensive hands-on experience with DevOps tools, including Jenkins, GitHub Actions, Spinnaker, and GitLab for CI/CD pipeline automation and continuous delivery. He is an expert in advanced J2EE frameworks like Spring, Struts, JSF, and Hibernate, with proficiency in designing, developing, and deploying RESTful APIs and microservices using Spring Boot, following best practices for security, scalability, and performance.

Spandana is a Senior AI/ML Engineer and Enterprise AI Architect with 10+ years of experience in data engineering, data science, and cloud-based solutions. She has designed and deployed AI-powered enterprise applications across sales, marketing, and customer success, with expertise spanning industries like aerospace, finance, healthcare, and retail. Specializing in integrating LLMs and Agentic AI solutions into platforms like Salesforce, Outreach, Gong, and N8N, Spandana enables automation, insight generation, and decision augmentation at scale. She also orchestrates multi-agent architectures using LangChain and develops RAG pipelines optimized for domain-specific tasks with ChatGPT, Claude, and proprietary models.

Aishwarya is a Senior AI/ML Engineer with a proven track record in designing, developing, and implementing AI algorithms and models. She creates evaluation frameworks for Agentic AI agents and integrates them with MLOps workflows to automate model training, evaluation, deployment, and monitoring without human intervention. Aishwarya designs ML models, develops and implements RAG pipelines and Agentic AI workflows using LLM fine-tuning and prompt engineering, and builds end-to-end MLOps workflows using tools like MLflow, Kubeflow, and AWS SageMaker pipelines. She is also skilled in developing AI/ML solutions, optimizing GenAI inference performance, and building Vector DB integrations within LangChain and LlamaIndex workflows for AI agents and knowledge bots.