Top Tech Jobs & Startup Jobs in India

Technical Services Engineers solve complex MongoDB issues for customers, advising on architecture and performance while contributing to internal projects and tools.

The Lead Salesforce Engineer will drive architecture, design, and development of Salesforce solutions while collaborating with stakeholders and mentoring engineers. Responsibilities include overseeing integrations, optimizing the platform, and ensuring best practices in engineering and development.

Manage and enhance Salesforce CRM at MongoDB, focusing on configuration, security, governance, and operational efficiency while collaborating with stakeholders.

As a Software Engineer II, you will develop high throughput low latency systems, manage software lifecycle from design to support, and collaborate with global teams.

The Senior Software Engineer will develop and design automated map data processing systems, mentor juniors, and improve engineering practices in a global agile team.

Lead the development of mobile automation frameworks, drive automation strategy, and mentor junior QA engineers while ensuring quality in mobile applications.

The Software Engineer in Test will validate AI agent performance using Python, develop automated tests, troubleshoot issues, and collaborate globally to ensure high-quality releases.

Lead a team of data and analytics engineers, overseeing data curation, model development, and BI delivery while fostering a collaborative culture.

The Product Marketing Specialist at Coupa will create content, analyze data to drive pipeline, execute product launches, and enable sales teams with training resources.

The Senior Software Engineer I will enhance and build core payment features in a FinTech environment, ensuring high-quality, scalable code and collaborating across teams to improve product performance and user engagement.

The Manager IL6S ensures external manufacturing partners adhere to IL6S standards, leads continuous improvement initiatives, designs Power BI dashboards, and facilitates performance governance.

The Strategic Partner Management Analyst ensures commitments are met, supports improvement initiatives, manages partner relationships, and monitors performance indicators.

As a Manager of Commercial Projects, you will oversee financial planning, manage projects, ensure compliance, and support strategic financial decisions while enhancing digital capabilities.

The Analyst will support product and data managers in revenue growth and tech advancement around IP topology, conducting data analysis, ensuring data accuracy, and improving processes based on customer needs.

The Sr Developer, GenAI Engineer will build, test, and deploy AI models, manage AI processes, automate infrastructure, and enhance data integration.

The Analyst will manage daily data operations, perform data analysis, ensure operational support for data processing failures, and work collaboratively across functions. They will also provide training to junior team members and maintain communication with stakeholders.

The IT Engineer manages networking and computing needs, maintaining the IT infrastructure, overseeing network devices, and providing user support while exploring AI applications.

As a Vice President, Application Engineer, you'll design and build scalable software for data products, drive architectural decisions, and collaborate on technical strategies while influencing stakeholders and enhancing operational efficiency.

The Vice President drives enterprise-wide AI adoption by developing change strategies, training programs, and collaboration with global stakeholders for successful transformation.

Develop multi-agent AI applications, focusing on integration, testing, and collaboration. Involve in the AI application lifecycle from POC to production.

The Technical Operations Engineer ensures infrastructure reliability for game services, leads automation efforts, and provides advanced troubleshooting for technical issues in a collaborative, global environment.

The Technical Operations Center Analyst ensures high availability and performance of production systems, monitors incidents, resolves technical requests, and maintains operational documentation.

The Data Quality Engineer ensures data reliability and integrity by designing systems for data validation, monitoring data pipelines, enforcing quality standards, and collaborating with teams for data-driven decisions.

The role involves contributing to agentic AI workflows and LLM systems, as well as developing ML pipelines for security data, under senior guidance. It requires hands-on skills in prompt engineering and RAG pipelines and aims to build strong foundations in AI engineering within a cybersecurity context.