Top AWS Jobs in Pune

As a QA Automation Engineer, design and implement automated tests using Cypress and Playwright, ensuring product quality and guiding engineering teams on automation best practices.

Lead R&D efforts by integrating AI and low-code/no-code platforms, foster team growth, and enhance technical adoption and innovation.

Design, implement, and manage infrastructure for business applications, automate processes, and ensure system stability across environments while collaborating with cross-functional teams.

The Senior Backend Engineer develops software solutions, designs backend systems, optimizes performance, and ensures code quality to support Tala's mission.

As a Sr. Software Engineer, you will develop SaaS solutions for government agencies, leading feature development and mentoring junior engineers in an agile environment.

Design, develop, and manage data pipelines and architectures for analytics and machine learning, collaborating across teams while establishing DataOps practices.

Lead design and optimization of data pipelines, mentor engineers, ensure data quality, collaborate with teams, and drive improvements in data architecture.

Manage the enterprise product catalog ensuring data accuracy and governance. Lead a team, enhance products using data insights, and support digital platforms.

The role involves supporting and developing software applications, resolving integration issues, and enhancing automation pipelines in a DevOps setting for financial services.

The IAM Engineer will implement IAM solutions, manage user identities, assess security risks, and support IAM policies while collaborating on system support and metrics tracking.

The Technical Onboarding Engineer guides customers through setting up Neo4j environments, ensuring project success through planning, provisioning, security, data integration, and application support.

The role involves managing and optimizing large-scale Linux server infrastructures, ensuring uptime, reliability, and security while collaborating with various teams.

Assist in design and execution of backend platforms, troubleshoot bugs, manage deployments, and ensure performance and security requirements.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

Lead complex network and cloud deployments, manage customer implementations, troubleshoot issues, mentor junior engineers, and develop automation tools.

Lead the development of scalable web applications, mentor teams, optimize performance, and collaborate on architecture in a hybrid environment.

Develop and maintain highly-scalable backends for a sports betting platform. Collaborate with team on features, support production applications, and mentor juniors.

Responsible for ensuring quality through testing and automation in web and mobile platforms, involving all stages from development to launch.

Lead and oversee IT infrastructure strategies, mentor IT teams, design secure systems, optimize performance, and ensure compliance with industry standards.

Develop scalable applications using Spring Boot and Next.js, ensuring high performance and collaboration with teams on design and development.

The Software Engineering Manager will lead a team to design, develop, and maintain software applications, focusing on both backend and frontend development while ensuring quality and performance standards are met.

Lead design, development, and delivery of scalable cloud-native applications using Java and Python. Collaborate with product, architecture, and DevOps teams, enforce security-by-design, mentor engineers, and ensure high-quality production releases.

The Software Engineer will develop cloud infrastructure solutions focusing on deployment, patient specific implants, and security configurations.

As an IAM Engineer, you'll manage Active Directory, oversee user accounts and group structures, troubleshoot DNS, and develop PowerShell scripts to enhance identity management processes.

The DevOps Engineer will design and maintain AWS infrastructure, implement CI/CD pipelines, optimize cloud resources, and support AI/ML deployments within data projects.