Top Engineering Jobs in Pune

Lead a team of engineers in developing financial services, collaborating with stakeholders to build effective systems, and fostering a culture of innovation and excellence.

Lead the Kora Serverless engineering team, managing distributed systems across cloud platforms, and driving operational excellence and team growth.

Sumo Logic invites candidates to join their talent pipeline for future engineering roles, focusing on cloud-native engineering, distributed systems, and data security.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

As a Full-stack Engineer, you'll design and develop backend services, enhance frontend components, integrate systems, optimize performance, and collaborate across teams in a fast-paced environment.

The Technical Lead will manage a scrum team, drive project deliverables, maintain application code, develop APIs, and contribute to the software development lifecycle while mentoring other engineers.

As a Senior Engineering Manager, you will lead teams, drive project delivery, foster individual growth, engage in technical discussions, and contribute to scaling engineering processes across backend and data systems.

Lead engineering teams, oversee project execution, improve product architecture, and cultivate technical culture within the organization.

The Senior Engineering Manager is responsible for implementing ERP data solutions, bridging business and technical requirements, maintaining system architecture, and collaborating globally with teams to ensure high availability and reliability of services.

Lead and manage the Analytics Engineering team, contribute to backend data model, oversee SQL code quality, and ensure operational efficiency.

Lead the development of custody solutions for cryptocurrencies, mentor engineers, optimize transactions, and ensure security standards are met.

Lead the Analytics team at Bloomreach, overseeing a distributed data processing platform, mentoring engineers, defining technical roadmaps, and ensuring project delivery aligned with business goals.

The Director of Data Engineering leads the development of data infrastructure, analytics models, and ensures compliance with data standards while leading a team to optimize healthcare operations.

The Engineering Manager will oversee an engineering team, drive product and technical vision, ensure quality delivery, and facilitate collaboration with stakeholders.

The Engineering Manager will oversee the Wallet division, grow the Wallets business, manage a team, ensure quality, collaborate with stakeholders, and promote best practices.

The Engineering Manager will lead backend development, managing cross-functional teams, and designing scalable financial platforms, APIs, and services.

As a Data Engineering Manager, you'll lead the design and development of secure platforms, manage cross-functional teams, and optimize software infrastructure for seamless transactions.

Manage and lead backend engineering efforts, focusing on designing and maintaining scalable APIs and systems while collaborating with cross-functional teams to optimize user experiences.

Lead backend engineering efforts, design and optimize secure software infrastructure, collaborate with cross-functional teams to enhance user experiences.

As the Manager of BI, you will lead data engineering teams, design data pipelines, manage large datasets, and ensure data quality while collaborating with business stakeholders.

The Analyst II improves end-user computing reliability, security, and usability, collaborating with IT to implement solutions and manage endpoints.

Lead the design and development of scalable backend systems on AWS. Mentor engineers, drive technical initiatives, and ensure high-quality software delivery.

Develop and maintain software using Golang, design systems, perform testing, and collaborate with teams to ensure CI/CD workflows are effective.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.