Top AWS Jobs in Hyderabad

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.

The Data Analytics Specialist will analyze datasets, develop dashboards, collaborate with teams, and optimize backend analytics systems. The role requires strong analytical skills, technical expertise, and experience in marketing analytics and BI tools.

Responsible for leading a team of engineers to design, develop, and maintain full-stack software applications, ensuring scalability and quality. Collaborate with cross-functional teams and support ongoing technical projects, while mentoring team members and improving development processes.

Design and build core platform components for Lyric's supply chain automation, focusing on Kubernetes operators, IaC systems, and ensuring reliable, scalable infrastructure.

As a Backend Engineer, you will develop automation frameworks, resolve bugs, optimize performance, and collaborate with teams to enhance product quality.

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

The role involves developing and supporting content management platforms using Java, Spring Boot, and ReactJS, while collaborating in Agile teams and maintaining code quality.

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 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.

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.

Design, build, and own end-to-end automation frameworks for web, API, and AI features. Create UI and API automation, performance tests, and deterministic validation for probabilistic ML outputs. Integrate tests into CI/CD, validate AI-generated outputs, and partner with Product and Engineering to ensure reliable, scalable image/video automation workflows.

This role involves assisting in CI/CD pipeline development, configuration management, cloud platform work, and learning DevOps tools within a remote team.

The role involves providing expert technical support, optimizing workflows with Zendesk, troubleshooting complex issues, and mentoring junior engineers in a growing cybersecurity firm.

As a Lead SDET, you will lead automation efforts, influence quality metrics, improve testing processes, and mentor junior engineers. Responsibilities include designing automation frameworks and enhancing CI/CD pipelines.

Support proposal/bid activities, translate client needs into enterprise AI use cases, collaborate with cross-functional teams to develop, validate, deploy and monitor AI models, ensure governance and compliance, provide advisory risk assessments, and produce solution documentation and operational handovers for production-ready AI solutions.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.

The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.

Build and maintain backend services and microservices for a high-scale SaaS web application using AWS serverless technologies. Integrate backend with front-end components, improve infrastructure, implement monitoring/alerts, and collaborate on product and technical solutions within a fast-paced remote team.

Lead technical discovery, deliver tailored demos and POCs, design solution architectures, support sales to close deals, enable smooth post-sale handoffs, collaborate with product, and maintain competitive intelligence for mid-market and enterprise customers.

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.