Job Title Senior Java Developer - AWS Cloud & Serverless Stack Location Hyderabad Experience 8+ Years Joining Immediate About The Role : We are looking for a highly skilled Senior Java Developer with expertise in AWS Cloud and Serverless Stack to join our team in Hyderabad. The ideal candidate will have 8+ years of hands-on experience in Java development along with strong expertise in AWS services like Lambda, API Gateway, DynamoDB, S3, and CloudFormation. The candidate should be able to design, develop, and deploy scalable, secure, and high-performance applications using cloud-native architectures. Key Responsibilities : - Design, develop, and deploy Java-based applications with a focus on AWS cloud-native solutions. - Develop and manage serverless applications using AWS Lambda, API Gateway, and DynamoDB. - Build and optimize RESTful APIs and microservices architectures using AWS services. - Implement cloud security best practices including IAM, VPC, and encryption mechanisms. - Work with AWS CDK, CloudFormation, and Terraform for infrastructure as code (IaC) deployments. - Optimize application performance and scalability using AWS monitoring tools such as CloudWatch, X-Ray, and AWS Config. - Collaborate with DevOps teams to implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy. - Troubleshoot, debug, and optimize cloud-based applications to ensure reliability and efficiency. - Provide technical leadership and mentorship to junior developers. Required Skills & Experience : - 8+ years of hands-on experience in Java (Java 8/11/17) development. - Strong knowledge of Spring Boot, Hibernate, and Microservices Architecture. - Experience in designing and deploying serverless applications using AWS Lambda, API Gateway, SQS, SNS, and EventBridge. - Hands-on experience with AWS DynamoDB, RDS, and S3. - Expertise in AWS Identity and Access Management (IAM), VPC, and Cloud Security. - Proficiency in Infrastructure as Code (IaC) tools such as AWS CDK, Terraform, or CloudFormation. - Strong understanding of containerization using Docker and Kubernetes (EKS is a plus). - Experience with logging and monitoring tools such as AWS CloudWatch, ELK Stack, or Prometheus. - Knowledge of CI/CD pipelines and version control (Git, GitHub, GitLab, or Bitbucket). - Experience working in Agile/Scrum development environments. - Strong problem-solving, debugging, and performance optimization skills. - Excellent communication and collaboration skills. Preferred Skills : - Experience with GraphQL APIs and WebSocket implementations. - Knowledge of message queues like Kafka, RabbitMQ, or AWS SQS/SNS. - Familiarity with NoSQL databases like MongoDB, Cassandra, or AWS DynamoDB. - Exposure to machine learning and AI integrations in cloud-based applications is a plus. Why Join Us - Competitive salary up to 40 LPA. - Opportunity to work on cutting-edge AWS cloud-native technologies. - Fast-paced and dynamic work environment with opportunities for career growth. - Work alongside a talented team of cloud engineers and Java experts. - Flexible work culture with a focus on work-life balance. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Responsibilities : The incumbent will lead a team of data scientists and campaign managers. S/He will work closely with cross functional teams like Subscriber Marketing, Content, Product, IT, Tech, and Customer Operations to identify & solve key business problems. Key responsibilities for this position are listed below: - Leverage Gen AI for Transformational initiatives at across various offerings - DTH, mobile app. - Building and improving Recommendation Engines, Propensity Modelling, Unsupervised Learning, Fraud Detection, Patterns & Visualisations - Improving the Quality, Performance and Effectiveness of the campaigns - Working on various statistical and data science models to test and evaluate them - Evaluating models and predict performance of data science models using ROC curve and Lift Analysis - Providing expertise to the organisation on statistical techniques - Building deep learning based complex systems utilising structured and unstructured data - Setting up and manage a team of data scientists and campaign managers - Collaborating with data engineering team on building data marts, reports, data warehouse, data pipelines and data tracking mechanisms - Micro segment the base for better upsell of content. Leverage AMS (Audience Measurement system). - Integrate data science models into various campaigns - Manage various segmented upselling and retention campaigns which will be administered through various modes of communication e.g. outbound, TV channels, SMS, emails, App Notifications, website etc The Person : - 10+ years in the Data Science and Analytics domain - Expertise in Predictive Analytics & Machine Learning concepts like such as regression, classification, SVM, recommendation engines, neural network etc. - Hands On experience to open source analytical tools - such as R, Python - Hands On experience of data visualization tools like Tableau - Experience of working on web analytics using tools like Mix Panel for analytics and experimentation - Exposure to implementing data science solutions in production environments - Exposure to Gen AI technology for solving business problems like NLU Search, CVM, Metadata enrichment etc. - Understanding of analytical architecture components; query languages, web services, APIs etc - Experience working on cloud and it's components: AWS / Azure / Google Cloud Platform (any one) - Experience working on Big Data technologies like Spark, PySpark, SparkR etc - Proven experience in Model to Market - Good understanding of commercial (revenue and retention) aspects of the business. - Experience of leading and driving multiple complex projects with a sharp customer-focus - Sound problem identification, judgment, resolution and decision-making skills - Innovation oriented and a proponent of disruptive and out-of-the-box thinking - High level of integrity, ownership and accountability - Excellent written and verbal communications; ability to articulate thoughts clearly and concisely; excellent interpersonal skills.

We are looking for a highly skilled Senior Java Developer with expertise in AWS Cloud and Serverless Stack to join our team in Hyderabad. The ideal candidate will have 8+ years of hands on experience in Java development along with strong expertise in AWS services like Lambda, API Gateway, DynamoDB, S3, and CloudFormation. The candidate should be able to design, develop, and deploy scalable, secure, and high performance applications using cloud native architectures.Key Responsibilities : Design, develop, and deploy Java based applications with a focus on AWS cloud native solutions. Develop and manage serverless applications using AWS Lambda, API Gateway, and DynamoDB. Build and optimize RESTful APIs and microservices architectures using AWS services. Implement cloud security best practices including IAM, VPC, and encryption mechanisms. Work with AWS CDK, CloudFormation, and Terraform for infrastructure as code (IaC) deployments. Optimize application performance and scalability using AWS monitoring tools such as CloudWatch, X Ray, and AWS Config. Collaborate with DevOps teams to implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy. Troubleshoot, debug, and optimize cloud based applications to ensure reliability and efficiency. Provide technical leadership and mentorship to junior developers. Required Skills & Experience : 8+ years of hands on experience in Java (Java 8/11/17) development. Strong knowledge of Spring Boot, Hibernate, and Microservices Architecture. Experience in designing and deploying serverless applications using AWS Lambda, API Gateway, SQS, SNS, and EventBridge. Hands on experience with AWS DynamoDB, RDS, and S3. Expertise in AWS Identity and Access Management (IAM), VPC, and Cloud Security. Proficiency in Infrastructure as Code (IaC) tools such as AWS CDK, Terraform, or CloudFormation. Strong understanding of containerization using Docker and Kubernetes (EKS is a plus). Experience with logging and monitoring tools such as AWS CloudWatch, ELK Stack, or Prometheus. Knowledge of CI/CD pipelines and version control (Git, GitHub, GitLab, or Bitbucket). Experience working in Agile/Scrum development environments. Strong problem solving, debugging, and performance optimization skills. Excellent communication and collaboration skills.Preferred Skills : Experience with GraphQL APIs and WebSocket implementations. Knowledge of message queues like Kafka, RabbitMQ, or AWS SQS/SNS. Familiarity with NoSQL databases like MongoDB, Cassandra, or AWS DynamoDB. Exposure to machine learning and AI integrations in cloud based applications is a plus.