Top AWS Jobs in Hyderabad

The Senior Manager of Mainframe Services leads mainframe infrastructure management, oversees service delivery, drives modernization initiatives, and manages vendor relationships to optimize operational efficiency.

The Node JS Developer will enhance integrations, improve reliability, expand capabilities, and contribute to open-source innovations while ensuring high-quality Node applications.

Lead a team building engineering tools and platform improvements, define 1-3 year roadmap, translate engineering ideas into user stories, run agile ceremonies, set KPIs, prioritize backlog, and drive continuous improvement and implementations.

Build, deploy, and operate production AI platforms: productionize LLM/SLM APIs, fine-tune and serve Hugging Face models, containerize services, manage cloud deployments, CI/CD, monitoring, scaling, and cost optimization.

Responsible for incident management, system monitoring, automation, and collaboration with teams to ensure platform reliability and compliance in a fintech environment.

The Site Reliability Engineer II is responsible for maintaining system reliability, managing incidents, monitoring performance, and driving automation initiatives in fintech environments.

The role involves engaging clients to design and implement cloud-based insurance solutions, ensuring alignment with business needs and employing innovative approaches.

Micropyramid is seeking fresh IT, CSE, and ECE graduates for unpaid training with potential job offer based on performance.

The QA Lead will define and own QA strategy, build automation frameworks, lead a QA team, and ensure product quality through rigorous testing and process management.

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.

The Senior Software Engineer role involves modernizing a .NET and SQL Server stack using AI tools, guiding code quality, and collaborating with teams on software solutions, particularly in health care.

The AI Tech Lead will design, develop, and implement AI solutions, focusing on LLM and RAG systems, while collaborating with engineers and product managers to innovate and optimize AI workflows.

The Sr. DevOps Engineer will automate and optimize software and data delivery, manage CI/CD pipelines, implement IaC, and enhance operational efficiency.

Seeking a Full Stack Developer to design and develop applications using Python and Angular, implement CI/CD practices on AWS, and lead technical teams for software delivery.

Define and govern enterprise architecture roadmaps for cloud, compute, storage, containers, middleware and disaster recovery. Translate business needs into technical designs, enforce standards and risk controls, mentor staff, research technologies, and align architectures across portfolios to ensure scalable, secure, high-availability solutions.

The Program Manager will lead execution across DevSecOps and Change Management teams, aligning priorities and managing dependencies with engineering leadership to deliver value to stakeholders.

As Principal Solutions Architect, you will lead enterprise-level API integrations, mentor teams, and ensure customer success through complex projects.

The Sagemaker DevOps Engineer will architect and automate the ML environment in SageMaker, ensuring scalability and cost control through DevOps practices.

The ServiceNow Engineer will implement, configure, and support ServiceNow modules for healthcare insurance operations, focusing on customer service workflows and integrations.

As a Software Engineer on the Platform team, you'll design and maintain backend APIs, ensure performance, and collaborate with cross-functional teams for user experiences.

The Senior Data Engineer - II will design data pipelines, optimize ETL workflows, manage databases, and support Power BI reporting for business decisions.

The Senior Technical Operations Analyst supports infrastructure by monitoring events, managing servers, troubleshooting issues, and collaborating on solutions while ensuring high performance and availability.

The engineer will build automation frameworks for Databricks, integrate AI capabilities, and develop deployment workflows in AWS.

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.