6 Amazon S3 Jobs

iSource Services is hiring for one of their client for the position of AWS. AWS experience (not Azure or GCP), with 12-15 years of experience, and hands-on expertise in design and implementation. Design and Develop Data Solutions, Design and implement efficient data processing pipelines using AWS services like AWS Glue, AWS Lambda, Amazon S3, and Amazon Redshift. Candidates should possess exceptional communication skills to engage effectively with US clients. The ideal candidate must be hands-on with significant practical experience. Availability to work overlapping US hours is essential. The contract duration is 6 months. For this role, we're looking for candidates with 12 to 15 years of experience. AWS experience communication skills

Job description: Seeking a skilled & proactive Data Engineer with 24 years of experience to support our enterprise data warehousing and analytics initiatives. The Candidate will be responsible for building scalable data pipelines, transforming data for analytics, and enabling data integration across cloud and On-premise systems. Key Responsibilities: Build and manage data lakes and data warehouses using services like Amazon S3, Redshift, and Athena Design and build secure, scalable, and efficient ETL/ELT pipelines on AWS using services like Glue, Lambda, Step Functions Work on SAP Datasphere to build and maintain Spaces, Data Builders, Views, and Consumption Layers Support data integration between AWS, Datasphere, and various source systems(SAP S4HANA, Non-SAP apps, Flat-files etc) Develop and maintain scalable data models and optimize queries for performance Monitor and optimize data workflows to ensure reliability, performance, and cost-efficiency Collaborate with Data Analysts and BI teams to provide clean, validated, and well-documented datasets Monitor, troubleshoot, and enhance data workflows and pipelines Ensure data quality, integrity, and governance policies are met Required Skills Strong SQL skills and experience with relational databases like MySQL, or SQL Server Proficient in Python or Scala for data transformation and scripting Familiarity with cloud platforms like AWS (S3, Redshift, Glue), Datasphere, Azure Good-to-Have Skills AWS Certification – AWS Certified Data Analytics Exposure to modern data stack tools like Snowflake Experience in cloud-based projects and working in an Agile environment Understanding of data governance, security best practices, and compliance standards

Roles & Responsibilities: Develop and maintain backend services using Node.js Implement event-driven architectures with Apache Kafka or AWS Kinesis for real-time data processing Deploy and manage containerized applications using Docker Design and manage MongoDB databases for efficient data storage and retrieval Work with AWS services (e.g., Load balancer, EC2, S3, Lambda, API Gateway) for scalable cloud solutions Integrate MQTT protocols for IoT and messaging-based applications Configure and maintain Linux-based production environments Read and analyse existing Java code for integration and troubleshooting purposes Implement secure authentication using OpenID Connect (OIDC) Collaborate with development teams to improve system reliability and performance Must have Technical Skills: Strong proficiency in Node.js with experience in frameworks like Express.js or NestJS Hands-on experience with Apache Kafka and event-driven systems Experience with AWS services , including compute, storage, and networking solutions Docker & container orchestration experience for scalable deployments Experience with MongoDB , including schema design, indexing, and performance optimization Basic understanding of Java , with the ability to read and analyse code Good to have: Experience with Kubernetes for managing containers Analysis of Quarkus microservices to ensure best practices and efficiency Understanding of Terraform or CloudFormation for infrastructure setup Knowledge of serverless computing (AWS Lambda, Azure Functions) AWS Certification is a plus Key Competencies: Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Ability to work collaboratively in cross-functional teams Ability to write clean, well-documented, and efficient code

About the job: Key responsibilities: 1. Build big, robust, scalable, and maintainable applications 2. Debug, fix bugs, identify performance issues, and improve app performance 3. Set up and manage AWS EC2 instances, S3 buckets, and related services 4. Manage server configurations and deployments 5. Continuously discover, evaluate, and implement new technologies to maximize development efficiency 6. Handle complex technical issues related to web app development and discuss solutions with the team 7. Manage and monitor application deployment using DevOps tools 8. Configure and maintain AWS EC2 instances 9. Set up and manage Docker containers 10. Implement automated deployment pipelines 11. Monitor application performance and server health 12. Manage database backups and recovery procedures 13. Handle server security and SSL certificate management Requirements: 1. Proficient understanding of Python, with knowledge of the Python web framework Django 2. Knowledge of Version control like Git 3. Understanding of the threading limitations of Python and multi-process architecture 4. Understanding of fundamental design principles behind a scalable application 5. Experience with AWS services (EC2, S3, CloudWatch) and basic Linux commands 6. Knowledge of Docker and container orchestration 7. Basic understanding of CI/CD pipelines and DevOps practices 8. Familiarity with deployment strategies and server configuration Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 4,20,000 - 4,50,000 /year Experience: 1 year(s) Deadline: 2025-07-05 23:59:59 Other perks: Informal dress code, 5 days a week, Free snacks & beverages, Health Insurance Skills required: Python, SQL, Django, Docker, GitHub, Amazon EC2, Amazon S3 and Amazon CloudWatch About Company: Trade Brains is a financial website helping readers learn the art of stock investing, trading, portfolio management, financial planning, money management, and more. At FinGrad (an initiative by Trade Brains), we offer the best online courses, webinars, and resources from various top experts who have real skin in the financial game. FinGrad has been built in the mind to deliver end-to-end financial education at our best standard to our novice investors & traders.

About the job: Key responsibilities: 1. Design and develop scalable backend systems and APIs for our AI-powered SaaS platform using Python and Node.js 2. Build and maintain cloud infrastructure on AWS, including configuration and management of S3, DynamoDB, SNS, EC2, and CloudWatch services 3. Implement and optimize data processing pipelines for machine learning model deployment and integration 4. Collaborate with data scientists to integrate AI models into production systems and ensure efficient model serving 5. Deploy and monitor applications using DevOps practices and LLMOps for large language model implementations 6. Create robust API endpoints that connect our frontend applications with AI functionalities 7. Design and implement efficient database schemas and queries optimized for AI applications 8. Develop and maintain secure authentication and authorization systems for our platform 9. Write clean, maintainable, and well-tested code following best practices 10. Troubleshoot and resolve complex technical issues in production environments Additional candidate preferences: 1. Computer Science or related Engineering degree preferred 2. Experience with containerization technologies like Docker 3. Familiarity with AI model serving platforms Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 3,10,000 - 4,60,000 /year Experience: 0 year(s) Deadline: 2025-06-16 23:59:59 Other perks: 5 days a week Skills required: Python, Node.js, Artificial intelligence, DevOps, Amazon EC2, Amazon S3, Amazon CloudWatch, Amazon SNS, Amazon DynamoDB and LLMOps Other Requirements: 1. Computer Science or related Engineering degree preferred 2. Experience with containerization technologies like Docker 3. Familiarity with AI model serving platforms and ML workflows About Company: Smartify is a marketplace for automation companies and also India's leading home automation store. We are trying to reduce the knowledge-execution gap and encourage early-adopters in the IoT space to launch their products and get to the mainstream market.

We are hiring a Senior AWS Engineer with deep, hands-on experience across critical AWS services. This is not a deployment-only role we are looking for someone who has built real systems, owned the backend logic, and debugged live issues under pressure. You should have worked extensively with each of the following: • AWS Lambda – Must have created functions from scratch, handled orchestration, and optimized for performance and cost. • Amazon DynamoDB – Practical experience with schema design, query optimization, and handling throughput tuning. • Amazon SQS & SNS – Integration for asynchronous processing, error handling, dead-letter queues, and fan-out patterns. • Amazon S3 – Secure and optimized usage, including versioning, lifecycle rules, and event triggers. • Amazon ECS & EC2 – Containerized workloads, launch/configure/manage clusters, auto-scaling, IAM role assignment. ________________________________________ Key Responsibilities: • Build and maintain Lambda functions with clean, production-ready code • Integrate and manage AWS services (SQS, SNS, DynamoDB, S3, ECS/EC2) • Handle scripting and automation (Python, Bash, or Node.js preferred) • Collaborate with other developers using Agile (Scrum) workflows • Debug and resolve production issues using Cloud Watch and related tools • Focus on performance, security, and stability of AWS-powered applications ________________________________________ What We’re Not Looking For: • Profiles with only deployment or environment setup experience • Passive usage of services without ownership or debugging exposure • General cloud familiarity without specific implementation depth ________________________________________ Must-Have Skills: • AWS Lambda • DynamoDB • SQS, SNS • S3 • ECS, EC2 • Infrastructure scripting (Python / Bash / Node.js) • Clear understanding of IAM, roles, policies, and cross-service permissions • Hands-on debugging and log analysis using CloudWatch ________________________________________ Nice to Have: • AWS certifications • Familiarity with CI/CD pipelines • Experience with step functions, EventBridge, or advanced serverless patterns ________________________________________ Why Join Us: This isn’t just another cloud role — this is about owning your stack. You’ll work with a team that values signal over noise, trusts your decisions, and expects you to lead delivery, not follow instructions. If you’re someone who doesn’t wait for instructions — but reads the room, senses the stack, and moves — we’d love to speak with you.