Jobs at 66degrees

The Data Engineer will manage and engineer data projects within GCP, handling data ingestion, storage, analysis, and migration from legacy systems, while collaborating with teams to meet data requirements.

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.

Architect and deploy a net-new Cameyo by Google environment and Google Cloud Workstations, build containerized workstation images, design GCP compute and autoscaling, implement Zero Trust access and DLP, migrate and package legacy VDI apps into browser-based delivery, and automate workspace provisioning with Terraform/PowerShell/Python/Bash while leading the migration from Citrix/VMware.

The Data Architect will design and manage cloud-based data architectures on Azure and GCP, focusing on data modeling, governance, and performance optimization.

The role involves leading enterprise-scale migrations from Microsoft 365 to Google Workspace, architecting solutions, and providing pre-sales consulting for AI-driven workflows.

The Site Reliability Engineer ensures system reliability, creates automation, advises on DevOps practices, and collaborates with clients and engineers to resolve issues in cloud environments.

Manage end-to-end early-career learning programs (Gradient), coordinate campus hiring and onboarding, track learner progress and certifications, run cohort communications, support technical and consulting readiness training, maintain LMS and reporting, and help scale learning operations.

The Data Analytics Architect will design and implement data solutions using Looker, collaborate with stakeholders, and mentor junior staff, translating business needs into technical strategies.

The Systems Administrator maintains security, stability, and automation in a hybrid environment, managing Windows and Linux systems, GCP infrastructure, and utilizing automation tools for efficiency.

The Technical Program Manager will lead the delivery lifecycle, ensuring effective execution and quality in software development across various technical stacks and Agile methodologies.

The Data Architect will design and manage cloud-based data architectures, ensure data governance, and collaborate with engineering teams while leveraging GCP and big data technologies.

The role involves leading the design and deployment of generative AI solutions, acting as a technical architect, creating secure data strategies, and advising C-level executives on AI transformation.

Serve as a pre-sales technical advisor bridging sales, engineering, and delivery to design, propose, and ensure operational stability of cloud solutions (GCP preferred). Develop SOWs, lead technical presentations, build proofs-of-concept, support migrations, manage SLA and incident/RCA processes, and drive managed-services success and customer advocacy.

Design, build, and maintain scalable full-stack web applications: backend APIs in Python, responsive React + TypeScript frontends, cloud deployments (Azure/GCP), CI/CD, observability, mentor juniors, and ensure security, accessibility, and performance.

Lead data management and engineering projects using AWS, focusing on data migration, analysis, and designing data solutions while collaborating with technical teams and ensuring data quality.

Lead application architecture and solution design for scalable, secure enterprise apps on cloud (primarily GCP). Define technical roadmaps, mentor teams, design APIs/microservices, select technologies (frontend and backend), ensure performance, scalability, CI/CD and integration strategies, and collaborate with stakeholders to deliver complex .NET Core/C# solutions.

Lead discovery, architect and deploy end-to-end LLM/agent solutions on cloud (preferably GCP). Manage production rollouts, write production-grade full‑stack code, drive customer adoption, deliver eval-driven insights, create reusable tools/playbooks, and coordinate cross-functional stakeholders to maximize product and model impact.

Drive enterprise cloud, AI and data services sales within a designated UK territory. Build pipeline with Fortune 1000 customers, manage multiple accounts, execute consultative selling, negotiate services contracts and SOWs, forecast revenue, collaborate with partners and marketing, and close executive-level deals. Role is London-based with travel across the UK.

Drive enterprise sales in Southern California by building relationships with Fortune 1000 customers and Google, developing pipeline, accelerating cloud and professional services adoption, managing complex deals, forecasting revenue, prospecting consistently, and negotiating/closing services contracts and SOWs with executive stakeholders.

The Systems Administrator manages patching and vulnerability for Windows and Linux environments, oversees GCP resources, and automates tasks with IaC tools like Ansible and Packer.