4,110 Amazon Web Services jobs in India
Amazon Web Services (AWS)
Posted today
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Job Description
Job Overview
We are seeking a Senior-level Amazon Web Services (AWS) professional to join our team at Chiselon Technologies Pvt Ltd. The position offers a full-time, remote work arrangement and is available in Bengaluru, Hyderabad, Pune, and Chennai. We require candidates with a minimum of 5 to 10 years of work experience in AWS-related roles. This is an excellent opportunity to grow in a fast-paced environment and contribute to innovative projects.
Qualifications and Skills
- Strong proficiency in AWS services including Lambda, EC2, and API Gateways, essential for designing and deploying scalable applications.
- Experienced with Amazon DynamoDB for creating seamless and scalable database solutions for dynamic applications.
- In-depth knowledge of Amazon Cognito for establishing secure user authentication and authorization frameworks.
- Proficient in React.js for building interactive and highly responsive user interfaces that enhance user experience.
- Demonstrated ability to utilize MySQL databases effectively to manage and store application data securely.
- Adept at problem-solving and utilizing AWS technologies to optimize application performance across multiple environments.
- Strong understanding of cloud architecture and deploying applications within cloud infrastructures efficiently.
- Excellent communication skills for collaborating with cross-functional teams and stakeholders to deliver high-quality solutions.
Roles and Responsibilities
- Lead the design and implementation of AWS-based solutions, ensuring scalability and reliability across projects.
- Collaborate with development and DevOps teams to optimize AWS environments and enhance application performance.
- Ensure robust user authentication and authorization using Amazon Cognito to strengthen application security.
- Develop and maintain APIs using AWS API Gateways to streamline communication between applications and services.
- Implement efficient database solutions with Amazon DynamoDB to handle large volumes of application data effectively.
- Design interactive user interfaces with React.js to provide seamless user experiences in web applications.
- Monitor, troubleshoot, and resolve issues in AWS environments to maintain optimal application uptime and reliability.
- Provide technical guidance and mentorship to junior team members to facilitate knowledge sharing and skill development.
Amazon Web Services (AWS)
Posted 13 days ago
Job Viewed
Job Description
Job Overview
We are seeking a Senior-level Amazon Web Services (AWS) professional to join our team at Chiselon Technologies Pvt Ltd. The position offers a full-time, remote work arrangement and is available in Bengaluru, Hyderabad, Pune, and Chennai. We require candidates with a minimum of 5 to 10 years of work experience in AWS-related roles. This is an excellent opportunity to grow in a fast-paced environment and contribute to innovative projects.
Qualifications and Skills
- Strong proficiency in AWS services including Lambda, EC2, and API Gateways, essential for designing and deploying scalable applications.
- Experienced with Amazon DynamoDB for creating seamless and scalable database solutions for dynamic applications.
- In-depth knowledge of Amazon Cognito for establishing secure user authentication and authorization frameworks.
- Proficient in React.js for building interactive and highly responsive user interfaces that enhance user experience.
- Demonstrated ability to utilize MySQL databases effectively to manage and store application data securely.
- Adept at problem-solving and utilizing AWS technologies to optimize application performance across multiple environments.
- Strong understanding of cloud architecture and deploying applications within cloud infrastructures efficiently.
- Excellent communication skills for collaborating with cross-functional teams and stakeholders to deliver high-quality solutions.
Roles and Responsibilities
- Lead the design and implementation of AWS-based solutions, ensuring scalability and reliability across projects.
- Collaborate with development and DevOps teams to optimize AWS environments and enhance application performance.
- Ensure robust user authentication and authorization using Amazon Cognito to strengthen application security.
- Develop and maintain APIs using AWS API Gateways to streamline communication between applications and services.
- Implement efficient database solutions with Amazon DynamoDB to handle large volumes of application data effectively.
- Design interactive user interfaces with React.js to provide seamless user experiences in web applications.
- Monitor, troubleshoot, and resolve issues in AWS environments to maintain optimal application uptime and reliability.
- Provide technical guidance and mentorship to junior team members to facilitate knowledge sharing and skill development.
Cloud-PaaS-AWS-Amazon Web Services Architect
Posted today
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Job Description
Experience: 12-14 years
Band: C1
JD:
- Very good analytical skills
- Capable of justifying the architectural decisions to Architecture review board of client
- Insurance Domain skills preferred
- Python with development coding skill (must have)
- AWS knowledge is mandatory.
- Little bit of PEARL exposure (must have)
- Coordinating with other teams like Infra, Data lake, MFT, Security (must have)
- Service now culture (must have)
- Conduct data/file analysis
- Able to look into existing code programming languages like Pearl, Python
- Dotnet hands-on coding skills (good to have)
- SQL Server expertise (good to have)
- Should be able to architect a solution in AWS to bring over the file processing functionality
Amazon Web Services (AWS), 6+ Yrs, Bng
Posted 26 days ago
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Job Description
Data Engineer, Amazon Web Services, AWS Data Platform

Posted 3 days ago
Job Viewed
Job Description
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Each day, thousands of developers make trillions of transactions worldwide on our cloud. Almost all of them are harnessing the power of Amazon Web Services (AWS) to enable innovative applications, websites, and businesses. We store all these transactions for analysis and reporting.
Amazon Web Services is seeking a Data Engineer to join the AWS Data Lake team. Amazon.com has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.
The AWS Data Platform team's mission is to help customers to see and understand their use of the AWS Cloud. We collect and process billions of usage transactions every day into actionable information in the Data Lake and make it available to our internal service owners to analyze their business and service our external customers.
We are truly leading the way to disrupt the data warehouse industry. We are accomplishing this vision by leveraging relational database technologies like Redshift along with emerging Big Data technologies like Elastic Map Reduce (EMR) to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services. The successful candidate will can shape and build AWS' data lake and supporting systems for years to come.
You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and communication skills to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data lake. Above all, be passionate about working with vast data sets and someone who loves to bring datasets together to answer business questions and drive growth.
We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.
About the team
About AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Data Engineer, Amazon Web Services, AWS Data Platform
Posted today
Job Viewed
Job Description
Each day, thousands of developers make trillions of transactions worldwide on our cloud. Almost all of them are harnessing the power of Amazon Web Services (AWS) to enable innovative applications, websites, and businesses. We store all these transactions for analysis and reporting.
Amazon Web Services is seeking a Data Engineer to join the AWS Data Lake team. Amazon.com has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.
The AWS Data Platform team's mission is to help customers to see and understand their use of the AWS Cloud. We collect and process billions of usage transactions every day into actionable information in the Data Lake and make it available to our internal service owners to analyze their business and service our external customers.
We are truly leading the way to disrupt the data warehouse industry. We are accomplishing this vision by leveraging relational database technologies like Redshift along with emerging Big Data technologies like Elastic Map Reduce (EMR) to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services. The successful candidate will can shape and build AWS' data lake and supporting systems for years to come.
You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and communication skills to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data lake. Above all, be passionate about working with vast data sets and someone who loves to bring datasets together to answer business questions and drive growth.
We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.
About the team
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Cloud Solutions Engineer
Posted today
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Job Description
Job Title:
Cloud Engineer (Python & AWS)
Key Requirements:
Must-Have Skills:
- Strong programming experience in an object-oriented language, preferably Python
- Hands-on exposure to Python’s Machine Learning ecosystem – including libraries such as NumPy, Pandas, scikit-learn, TensorFlow , etc.
- Experience building cloud-native applications on AWS , with familiarity in using services like:
- S3, RDS, CloudFormation (CFT), SNS, SQS, Step Functions, EventBridge , and CloudWatch
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Azure Cloud Solutions Engineer
Posted today
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Job Description
Role:
Azure Engineer with Azure VMs, Blob Storage, Azure SQL, Azure Functions, AKS, etc.
Exp:
6-9
AWS Cloud Solutions Engineer
Posted today
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Job Description
Role - AWS Cloud Engineer
Experience - 4 to 8 Yrs
Location - Chennai, Bangalore, Hyderabad, Mumbai, Indore
JD – AWS Cloud Engineer
- Cloud Infrastructure:
- AWS services:
EC2, S3, VPC, IAM, Lambda, RDS, Route 53, ELB, CloudFront, Auto Scaling - Serverless architecture design using Lambda, API Gateway, and DynamoDB
- Containerization:
Docker and orchestration with ECS or EKS (Kubernetes) - Infrastructure as Code (IaC):
- Terraform (preferred), AWS CloudFormation
- Hands-on experience creating reusable modules and managing cloud resources via code
- Automation & CI/CD:
- Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline
- Automating deployments and configuration management
- Scripting & Programming:
- Proficiency in Python, Bash, or PowerShell for automation and tooling · Monitoring & Logging:
o CloudWatch, CloudTrail, Prometheus, Grafana, ELK stack · Networking:
o VPC design, Subnets, NAT Gateway, VPN, Direct Connect, Load Balancing o Security Groups, NACLs, and route tables · Security & Compliance:
o IAM policies and roles, KMS, Secrets Manager, Config, GuardDuty o Implementing encryption, access controls, and least privilege policies
Snowflake Cloud Solutions Engineer
Posted today
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Job Description
Snowflake - Senior Cloud Engineer
Roles & Responsibilities
- Understanding of various Snowflake Editions, Snowflake Account type
- Understanding on Account setup, system defined roles, custom roles, and warehouse configurations.
- Understanding on E2E encryption, key hierarchy, Tri-Secret Secure.
- Can Implement and enforce RBAC policies, Network Policies & Data Masking policies.
- Monitor system performance and storage usage, optimize compute costs and query performance.
- Can manage security integrations like SSO & SCIM (Okta/Azure AD/PingFederate) on cloud platforms like Azure/AWS.
- Can manage and configure Data Sharing features like SHARES, READER ACCOUNTS, Private Listings, Marketplace listings, Data Exchange etc.
- Can understand the various networking & security aspects of Snowflake like setting up or configuring PrivateLinks & Private Endpoints.
Data Engineering Perspective:
- Understanding of Snowflake basic concepts, architectural components, data types etc.
- Hands on experience on Snowflake Internal/External stages, storage integrations, API integration, stored procedures, secure views, Functions/External Functions.
- Can implement Snowpipe, Streams, Tasks & Resource Monitors.
- Design & implement ETL/ELT pipelines using native snowflake features. Good to have knowledge/working experience on any ETL tool like Informatica (IDMC).
- Hands experience on SQL queries, materialized views and use of clustering keys/auto clustering.