13 Aws Development Jobs

4-5 Years exp with AWS with Cloud Practioner certification Exp in working with Cloud Formation to create AWS components (Like IAM roles, Lambdas, Event Bridge etc..) Exp in working with Terraform to create cloud components (Like setting up S3 related setup, permissions, AWS batch related config etc) Working exp in creating Lambdas using Java and Python (This is also more like an app development using Lambdas vs core infrastructure level tasks) Working exp with AWS batch using Java and Python Good to have: Experience with Appflow and Event bridge (Writing event rules) Experience in integrating with external applications like Salesforce

As a Data Platform developer at Barclays, you will play a crucial role in shaping the digital landscape and enhancing customer experiences. Leveraging cutting-edge technology, you will work alongside a team of engineers, business analysts, and stakeholders to deliver high-quality solutions that meet business requirements. Your responsibilities will include tackling complex technical challenges, building efficient data pipelines, and staying updated on the latest technologies to continuously enhance your skills. To excel in this role, you should have hands-on coding experience in Python, along with a strong understanding and practical experience in AWS development. Experience with tools such as Lambda, Glue, Step Functions, IAM roles, and various AWS services will be essential. Additionally, your expertise in building data pipelines using Apache Spark and AWS services will be highly valued. Strong analytical skills, troubleshooting abilities, and a proactive approach to learning new technologies are key attributes for success in this role. Furthermore, experience in designing and developing enterprise-level software solutions, knowledge of different file formats like JSON, Iceberg, Avro, and familiarity with streaming services such as Kafka, MSK, Kinesis, and Glue Streaming will be advantageous. Effective communication and collaboration skills are essential to interact with cross-functional teams and document best practices. Your role will involve developing and delivering high-quality software solutions, collaborating with various stakeholders to define requirements, promoting a culture of code quality, and staying updated on industry trends. Adherence to secure coding practices, implementation of effective unit testing, and continuous improvement are integral parts of your responsibilities. As a Data Platform developer, you will be expected to lead and supervise a team, guide professional development, and ensure the delivery of work to a consistently high standard. Your impact will extend to related teams within the organization, and you will be responsible for managing risks, strengthening controls, and contributing to the achievement of organizational objectives. Ultimately, you will be part of a team that upholds Barclays" values of Respect, Integrity, Service, Excellence, and Stewardship, while embodying the Barclays Mindset of Empower, Challenge, and Drive in your daily interactions and work ethic.,

Hi, Urgent opening for AWS Cloud Native Fullstack Engineer with EY GDS at Hyderabad Location. EXP :3-7 Yrs Location: Hyderabad Hybrid Mode Mandatory Skills: Python/ Java/Nodejs AWS Development Please apply on below link: Senior (3-7Yrs): https://careers.ey.com/job-invite/1611431/

Key Responsibilities: Design and develop scalable, secure, and high-performance applications on AWS. Build and maintain serverless architectures using AWS Lambda, API Gateway, DynamoDB, and S3. Develop Infrastructure as Code using tools like CloudFormation or Terraform. Integrate AWS services with third-party APIs and applications. Work with CI/CD pipelines using CodePipeline, CodeBuild, and CodeDeploy. Monitor application performance and implement improvements. Collaborate with cross-functional teams including developers, architects, and DevOps. Required Skills: Strong hands-on experience with AWS core services Lambda, EC2, S3, IAM, CloudWatch, RDS, DynamoDB, API Gateway. Experience in Node.js / Python / Java (any one preferred). Good understanding of serverless computing and microservices . Proficient in writing CloudFormation or Terraform templates. Experience with CI/CD tools and DevOps practices . Understanding of networking, security, and IAM policies in AWS. Familiarity with Agile/Scrum methodologies.

You should have expert-level proficiency in Python and Python frameworks or Java. You must have hands-on experience with AWS Development, PySpark, Lambdas, Cloud Watch (Alerts), SNS, SQS, CloudFormation, Docker, ECS, Fargate, and ECR. Deep experience with key AWS services like Compute (PySpark, Lambda, ECS), Storage (S3), Databases (DynamoDB, Snowflake), Networking (VPC, 53, CloudFront, API Gateway), DevOps/CI-CD (CloudFormation, CDK), Security (IAM, KMS, Secrets Manager), Monitoring (CloudWatch, X-Ray, CloudTrail), and NoSQL Databases like Cassandra, PostGreSQL is required. You should have very strong hands-on knowledge of using Python for integrations between systems through different data formats. Expertise in deploying and maintaining applications in AWS, along with hands-on experience in Kinesis streams and Auto-scaling, is essential. Designing and implementing distributed systems and microservices, and following best practices for scalability, high availability, and fault tolerance are key responsibilities. Strong problem-solving and debugging skills are necessary for this role. You should also have the ability to lead technical discussions and mentor junior engineers. Excellent written and verbal communication skills are a must. Comfort working in agile teams with modern development practices and collaborating with business and other teams to understand business requirements and work on project deliverables is expected. Participation in requirements gathering, understanding, designing a solution based on available framework and code, and experience with data engineering tools or ML platforms (e.g., Pandas, Airflow, SageMaker) are required. An AWS certification such as AWS Certified Solutions Architect or Developer is preferred. This position is based in multiple locations including Indore, Mumbai, Noida, Bangalore, Chennai in India. Qualifications: - Bachelor's degree or foreign equivalent required from an accredited institution. Consideration will be given to three years of progressive experience in the specialty in lieu of every year of education. - At least 8+ years of Information Technology experience.,

You should possess expert-level proficiency in Python and Python frameworks or Java. Additionally, you must have hands-on experience with AWS Development, PySpark, Lambdas, Cloud Watch (Alerts), SNS, SQS, CloudFormation, Docker, ECS, Fargate, and ECR. Your deep experience should cover key AWS services such as Compute (PySpark, Lambda, ECS), Storage (S3), Databases (DynamoDB, Snowflake), Networking (VPC, 53, CloudFront, API Gateway), DevOps/CI-CD (CloudFormation, CDK), Security (IAM, KMS, Secrets Manager), and Monitoring (CloudWatch, X-Ray, CloudTrail). Moreover, you should be proficient in NoSQL Databases like Cassandra, PostgreSQL, and have strong hands-on knowledge of using Python for integrations between systems through different data formats. Your expertise should extend to deploying and maintaining applications in AWS, with hands-on experience in Kinesis streams and Auto-scaling. Designing and implementing distributed systems and microservices, scalability, high availability, and fault tolerance best practices are also key aspects of this role. You should have strong problem-solving and debugging skills, with the ability to lead technical discussions and mentor junior engineers. Excellent communication skills, both written and verbal, are essential. You should be comfortable working in agile teams with modern development practices, collaborating with business and other teams to understand business requirements and work on project deliverables. Participation in requirements gathering and understanding, designing solutions based on available frameworks and code, and experience with data engineering tools or ML platforms (e.g., Pandas, Airflow, SageMaker) are expected. An AWS certification (AWS Certified Solutions Architect or Developer) would be advantageous. This position is based in multiple locations in India, including Indore, Mumbai, Noida, Bangalore, and Chennai. To qualify, you should hold a Bachelor's degree or a foreign equivalent from an accredited institution. Alternatively, three years of progressive experience in the specialty can be considered in lieu of each year of education. A minimum of 8+ years of Information Technology experience is required for this role.,

5+ years of working experience in Python 4+ years of hands-on experience with AWS Development, PySpark, Lambdas, Cloud Watch (Alerts), SNS, SQS, Cloud formation, Docker, ECS, Fargate, and ECR. Very strong hands-on knowledge on using Python for integrations between systems through different data formats Expert in deploying and maintaining the applications in AWS and Hands on experience in Kinesis streams, Auto-scaling Team player with very good written and communication skills Strong problem solving and decision-making skills Ability to solve complex software system issues Collaborate with business and other teams to understand business requirements and work on the project deliverables. Participate in requirements gathering and understanding Design a solution based on available framework and code

Build robust ML pipelines with AWS SageMaker, integrate models into production, manage workflows via AWS Data Zone, apply CI/CD best practices, contribute to MLOps research, and optimize ML systems for reliability, speed, and cost-efficiency Required Candidate profile Experienced MLOps Engineer with 5+ yrs in software development, AWS & SageMaker expertise, skilled in Python/R/Scala/Spark, production-grade delivery, and a sharp mindset for MLOps research innovation

3+ years of working experience in data engineering. Hands-on keyboard AWS implementation experience across a broad range of AWS services. Must have in depth AWS development experience (Containerization - Docker, Amazon EKS, Lambda, EC2, S3, Amazon DocumentDB, PostgreSQL) Strong knowledge of DevOps and CI/CD pipeline (GitHub, Jenkins, Artifactory) Scripting capability and the ability to develop AWS environments as code Hands-on AWS experience with at least 1 implementation (preferred in an Enterprise scale environment) Experience with core AWS platform architecture, including areas such asOrganizations, Account Design, VPC, Subnet, segmentation strategies. Backup and Disaster Recovery approach and design Environment and application automation CloudFormation and third-party automation approach/strategy Network connectivity, Direct Connect and VPN AWS Cost Management and Optimization Skilled experience in Python libraries (NumPy, Pandas dataframe)

8+ years of experience in DevOps. AWS Cloud Development experience Mandatory CI/CD, Kubernetes. Helm experience mandatory Cloud Development experience mandatory

Job Title: AI-Native Full Stack Engineer Job Description: We are hiring a Full stack Engineer to help build and scale AI-powered products for a client facing role in our IT consulting unit. You will work across Next.js, Python backends, and AWS infrastructure, while actively leveraging modern AI tools (Cursor, Devin, v0, Claude, Gemini, GPT-4o, etc.) to accelerate development. Beyond code, we value candidates who have strong opinions on LLMs and actively integrate AI agents into their workflows. You will contribute to everything from product features to internal tools, working closely with a nimble, high-performance team deeply embedded in AI product development. Job Requirements: 3+ years professional experience as full stack developer Strong Next.js (or React + SSR) experience Strong Python backend experience AWS deployment and scaling experience (EC2, S3, RDS, etc.) Demonstrated use of AI tools for coding: Cursor, Devin, v0, etc. Strong understanding of LLM landscape (Claude 4 Opus, GPT-4o, Gemini 2.5 Pro, open-source models)Role & responsibilities Direct 1st round Technical evaluation link : https://pehchaan.me/jobApply/RJR83dfTgj-KRI1q-EgkUw

We are hiring "Cloud Developer"- AWS+ Python for one of our "IT Services & Consulting-MNC" Mode-Permanent Exp-5+ Mandatory skill set- AWS Development + Python

Hands-on We are looking for AWS Data Engineer Permanent Role. Experience : 4 to 8 Years Location : Hyderabad / Chennai/Noida/Pune/Bangalore NP-Immediate - Skills: Expertise in Data warehousing and ETL Design and implementation Hands on experience with Programming language like Python Good understanding of Spark architecture along with internals Hand on experience using AWS services like Glue (Pyspark), Lambda, S3, Athena, Experience on Snowflake is good to have Hands on experience on implementing different loading strategies like SCD1 and SCD2, Table/ partition refresh, insert update, Swap Partitions, Experience in Parallel Loading and Dependencies orchestrations Awareness of scheduling and orchestration tools Experience on RDBMS systems and concepts Expertise in writing and complex SQL queries and developing Database components including creating views, stored procedures, triggers etc. Create test cases and perform unit testing of ETL Jobs