Top AWS Jobs in Hyderabad

The .NET Backend Developer will design and develop scalable backend systems, manage APIs, and optimize performance while collaborating with teams and following security best practices.

Seeking a Senior Frontend Engineer with deep TypeScript and React experience to build and maintain web applications for healthcare services, mentoring junior engineers and ensuring high-quality code.

The Fullstack Engineer will design and develop solutions for .NET web applications, conduct code reviews, troubleshoot issues, and communicate with clients about work progress.

Seeking an experienced Generative AI Engineer to develop enterprise AI solutions, automate workflows, and design interoperable AI agents while collaborating across cloud platforms.

The Senior Data Scientist will analyze large datasets, develop ML/AI models, collaborate with teams, and ensure data quality and compliance.

The Lead Data Scientist will analyze large datasets, develop ML/AI models, collaborate across teams, and ensure data quality and compliance.

Design and own infrastructure and observability for large-scale services. Automate operations, implement SLOs/SLIs, run incident response, perform chaos testing, mentor SREs, and drive reliability improvements across cloud and data-center environments.

The Senior Software Consultant will lead full-stack technical teams, implement agile development and CI/CD practices, and ensure delivery of high-quality software solutions.

Seeking a Senior MLOps Engineer experienced in Databricks to build and scale automated ML platforms, collaborating with data scientists and DevOps teams.

Responsible for building and maintaining scalable data pipelines on Databricks. Collaborates with data scientists and stakeholders to ensure high-quality data for analytics and ML.

Seeking a Senior Data Engineer with 6+ years of experience to design and optimize data pipelines for intelligent systems, utilizing modern data platforms and cloud services.

The Senior AI/ML Engineer will lead the development of enterprise AI solutions, owning architecture and delivery, mentoring engineers, and ensuring compliance with responsible AI practices.

Seeking a senior AI/ML engineer with 6+ years experience to design and scale AI/ML platforms, innovate, mentor, and solve complex data challenges.

The role involves delivering AI solutions, developing models, supporting Agile practices, collaborating with teams, and focusing on execution and delivery.

Responsible for designing, developing and maintaining full-stack applications with a focus on Python backend. Collaborate with teams to build scalable software solutions.

The Generative AI Tester will validate AI-driven features, ensure model reliability, and drive end-to-end testing workflows in enterprise applications.

The Data Engineer is responsible for optimizing data architecture and pipelines, collaborating with teams to deliver data solutions, and building analytics tools for business insights.

Lead and scale the Offensive Security and VAPT practice, architect enterprise red team and penetration engagements across infrastructure, applications, cloud and mobile, engage C-level clients, standardize testing frameworks, manage a high-performing team, ensure delivery quality and SLAs, and drive R&D into offensive capabilities.

Lead a team to architect, develop, and deploy scalable .NET web applications using .NET Core, ASP.NET, MVC, Web API and SQL Server. Oversee code quality, mentor developers, integrate front-end frameworks (Angular/React), manage CI/CD and cloud deployments, troubleshoot across the stack, and collaborate with stakeholders to meet project timelines.

Design, develop, and maintain enterprise integrations and internal tools using AI-assisted development. Lead architecture decisions, mentor peers, perform troubleshooting, collaborate across teams, and document integration solutions while championing AI-driven best practices and quality.

Design, develop, and maintain scalable full-stack web applications using Java/Spring Boot and Angular or React. Implement RESTful APIs, work with relational databases, write testable code, participate in code reviews, troubleshoot production issues, and follow Agile/Scrum practices.

Design and build scalable batch and real-time data pipelines using Spark, Kafka, Java and SQL. Develop ETL/ELT frameworks, streaming solutions, data models and cloud data warehouses. Automate workflows with Airflow/DBT, monitor reliability, collaborate with Data Science and Engineering, and follow governance, security, and cost-optimization best practices.

Design, build, and maintain scalable data pipelines and architectures using cloud and streaming technologies. Develop ETL/streaming workflows, optimize performance and reliability, integrate multiple data sources, ensure data governance and security, and collaborate with analytics and product teams to support data needs.

Manage, monitor, and optimize AWS Aurora (MySQL/PostgreSQL) databases. Perform installs, configuration, patching, upgrades, performance tuning, backups/restores, disaster recovery, migrations using AWS DMS, and infrastructure automation with Terraform. Ensure availability, security, and troubleshoot production issues.

Design and deliver enterprise-grade AI solutions by architecting cloud-native, scalable, secure AI/ML systems, integrating models into business workflows, optimizing big data and distributed compute, containerizing with Kubernetes, and providing technical leadership and platform recommendations (e.g., NVIDIA AI Enterprise).