Jobs at 66degrees

Build and lead development of real-time, cloud-native integration pipelines and Java/Spring Boot microservices on GCP. Design event-driven streaming with Pub/Sub, Kafka, and CDC tools; govern REST APIs and data schemas; connect enterprise databases, supply chain systems, and data lakehouses. Responsibilities include architecture, coding, deployment, code reviews, integration templates, testing, monitoring, and technical leadership.

Designs and implements secure, reliable GCP environments and enterprise cloud architectures for strategic clients. Responsibilities include advisory relationships, requirements gathering, project scoping, solution design, architecture diagrams, cloud migration roadmaps, hybrid connectivity, CI/CD guidance, Kubernetes containerization, and client presentations. The role leads project meetings, promotes Google Cloud solutions, influences stakeholders, and travels to customer sites and industry events as needed.

Develop and close enterprise cloud and professional services opportunities across a designated territory. Build executive-level customer and partner relationships, generate pipeline, drive cloud adoption, manage sales cycles, negotiate agreements, forecast revenue, and exceed quota. The role focuses on consultative solution selling involving AI, data, cloud, and professional services, with collaboration across internal delivery, marketing, and partner teams.

Lead enterprise sales expansion across the Western United States, owning regional revenue strategy, forecasting, quota attainment, and major AI and cloud transformation pursuits. Partner with account executives on complex deals, develop sales talent, cultivate hyperscaler alliances, engage C-suite buyers, and coordinate solution architecture and delivery teams. Recruit and mentor enterprise sellers while improving sales methodology, pipeline rigor, and operational effectiveness. The role is based in or relocatable to the San Francisco Bay Area and requires 30–40% travel.

Designs and delivers production AI/ML systems for enterprise clients, including generative AI, agentic AI, classical ML, data pipelines, and MLOps on cloud platforms. Leads engineers, owns architecture and production operations, runs client discovery, presents to executives, manages scope and risk, and ensures successful handoff. The role is hands-on, client-facing, and requires collaboration with U.S.-based teams on a shifted India schedule.

Site Reliability Engineer responsible for maintaining, optimizing, and scaling Google Cloud environments. Duties include monitoring, alerting, incident response, self-healing automation, infrastructure deployment, troubleshooting, and advising clients on DevOps and SRE practices. The role develops reliable, scalable systems using Python and Terraform, supports Kubernetes and cloud workloads, collaborates with clients and Google engineers, and contributes to documentation, open-source initiatives, and continuous operational improvement.

Drive enterprise sales growth in India for AI, data, cloud, and professional services. Build pipelines through prospecting, customer relationships, and partner networks; manage complex sales cycles from discovery through negotiation and closing; forecast revenue; develop regional growth strategy; and collaborate with marketing, delivery teams, and partners. The role targets Fortune 1000 and GCC customers and requires consultative solution selling, executive engagement, and quota attainment.

Provides senior-level L3 IT support and serves as the final escalation point for complex technical issues. Architects identity and SSO solutions, manages Google Workspace, Atlassian platforms, endpoint devices, storage infrastructure, and email security. Automates user lifecycle processes, leads problem management, supports enterprise MDM deployments, develops integrations, and maintains technical documentation. The role requires advanced systems administration, infrastructure engineering, identity management, and platform expertise.

Designs, implements, and manages scalable Google Cloud data architectures using GCP services. Develops data models and large-scale processing solutions with Spark and Hadoop, builds optimized data pipelines, and establishes governance for quality, security, compliance, and metadata. Monitors system performance and collaborates with engineers, data scientists, and stakeholders to provide architectural guidance and identify innovative cloud and data technologies.

The Enterprise Account Executive will build customer relationships, manage accounts, drive sales of cloud and professional services, and forecast revenue effectively.

Sell cloud, AI, data, and professional services to enterprise customers. Build pipeline within assigned territory, engage executive sponsors, coordinate internal and partner resources, negotiate services/SOWs, forecast revenue, and drive adoption of cloud professional services to exceed quota.