Top AWS Jobs in Pune

The Senior DevOps Engineer will join a team focused on providing cost-effective coverage solutions, ensuring seamless operations on AWS with strong CI/CD practices.

The Data Engineer will design and build data pipelines, perform data analysis, and create visual reports, while collaborating cross-functionally to drive operational improvements. Responsibilities include implementing data transformation/storage solutions and overseeing data governance.

The role involves designing, developing, and improving software solutions, ensuring high quality, scalability, and performance, while collaborating with cross-functional teams and adhering to secure coding practices.

Responsible for building and maintaining data architectures, pipelines, and systems for data analysis and processing. Collaborate with data scientists on machine learning models and ensure data quality and security.

The role involves building systems for data management, leading engineering efforts, and collaborating with teams to leverage cloud and on-prem infrastructure.

Lead and manage engineering teams, ensuring successful delivery of high-quality software solutions while mentoring team members and collaborating with stakeholders.

Design and execute testing strategies to ensure software quality and reliability, collaborating with teams to resolve defects and improve processes.

The DevOps Engineering Lead will design, develop, and enhance software solutions, manage CI/CD pipelines, and ensure secure coding practices while collaborating with cross-functional teams.

The Senior Data Engineer builds and maintains data systems, ensuring data integrity and security. Responsibilities include designing data pipelines, collaborating with data scientists, and managing data architectures. The role emphasizes leadership and strategic contributions to the organization.

The Senior Data Engineer builds and maintains systems for data collection, storage, processing, and analysis, ensuring accuracy and security.

The Data Engineer will build and maintain data systems, develop ETL workflows, collaborate with data scientists, and ensure data accuracy and security.

The Engagement Manager will lead client relationships, manage project delivery, drive sales growth, and guide consulting teams, focusing on measurable business outcomes.

The Lead Technical Architect will guide technical development processes, mentor engineers, ensure high-quality project delivery, and integrate new technologies while addressing usability and security issues.

As a Technical Architect, lead the development of enterprise solution architectures, design integration solutions, and ensure best practices for Boomi products.

The Technical Architect leads the development of enterprise solution architecture, evaluating integration requirements, providing infrastructure recommendations, and promoting best practices for Boomi products.

The Technical Architect leads the design and implementation of enterprise solution architectures, focusing on business application and data integration solutions using Boomi's platform.

The Senior Backend Engineer will take ownership of backend development, work with the localized team and U.S. Engineering, and enhance product development using Generative AI technologies.

As a Principal Data Engineer, you will lead and design scalable data solutions, mentor engineers, and ensure data quality across the organization.

The Staff AI Engineer will design, build, and manage critical systems for Pattern's AI ecosystem, focusing on architecture, reliability, and team mentorship while utilizing AI/ML technologies.

The RDS Developer AVP role involves designing, developing, and enhancing software solutions, collaborating across teams, ensuring code quality, and promoting best practices in development.

Build and maintain data architectures, pipelines, and solutions on AWS, ensuring data accuracy and security, while leading teams and collaborating with stakeholders.

Design and deliver software solutions using Pega, manage teams and production stability, ensure adherence to best practices, and drive strategic initiatives.

The Application Support Analyst monitors critical technology infrastructure, resolves complex technical issues, conducts preventative maintenance, and improves service efficiency through automation and effective communication with stakeholders.

The Data Engineer builds and maintains data architectures, develops ETL components, and collaborates with data scientists on machine learning models, ensuring data accuracy and security.

The Technical Architect will lead the development of enterprise solution architectures, working with clients to design and implement complex integration solutions.