Jobs at 66degrees

Designs and leads Azure cloud transformation solutions for strategic clients. Responsibilities include requirements gathering, architecture and solution design, Azure landing zones, governance, identity, networking, security, monitoring, DevSecOps, Kubernetes platforms, hybrid connectivity, migration roadmaps, and modernization strategies. The role also leads workshops and project meetings, advises management, builds customer relationships, promotes Azure expertise, mentors engineers, creates technical documentation, and travels to customer sites and industry events as needed.

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.

Participate in the Gradient Development Program, complete technical training, pursue Google Cloud certifications, and collaborate with technical and business leads to translate business requirements into effective AI and machine learning solutions.

Participate in the Gradient Development Program, complete technical training, pursue Google Cloud certifications, and work with technical and business leads to translate business requirements into software solutions. The role is designed for recent or upcoming computer science, statistics, or data science graduates and emphasizes programming, analytical problem-solving, communication, organization, and teamwork.

Participate in the Gradient Development Program through structured training, hands-on technical work, mentorship, and certification preparation. Collaborate with technical and business leads to translate business requirements into effective solutions. The program prepares recent graduates for technology consulting careers and future delivery consultant responsibilities.

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 high-level administrative support to the executive leadership team, primarily the President. Responsibilities include calendar and travel management, board meeting and event coordination, office operations, supplies and equipment, vendor relationships, confidential communications, budget oversight, and process improvement. The role supports the Chicago office, requires US working hours, and may include evening meetings.

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 and leads Azure cloud transformation solutions for enterprise clients. Responsibilities include requirements gathering, architecture design, Azure landing zones, governance, identity, networking, security, monitoring, DevSecOps, Kubernetes, hybrid connectivity, migration roadmaps, and implementation planning. The role builds trusted client relationships, leads workshops and project meetings, advises management, promotes Azure, mentors engineers, and creates reusable cloud patterns and documentation.

Build and deploy a modern AI-integrated application on GCP during a 12-week contract. Develop React/TypeScript frontends and Python/FastAPI backends, deploy services with Cloud Run and Cloud Run Jobs, integrate Vertex AI Gemini models, manage Firestore and BigQuery data, configure enterprise SSO with IAP and Microsoft Entra ID, and maintain Azure DevOps CI/CD pipelines.

Leads data science and machine learning architecture engagements, analyzing diverse datasets and deploying models using cloud and big data technologies. Designs scalable, cost-effective solutions, including generative AI applications, and provides technical leadership across client delivery and presales activities. Creates standards, accelerators, reports, and presentations; mentors junior staff; and communicates technical concepts to business stakeholders.

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.

The Senior Solution Consultant designs and implements AI and cloud solutions for clients, collaborates with sales and engineering, and ensures successful project outcomes.

Lead a global Managed Services/SRE team to operate, scale, and improve multi-cloud (GCP/AWS/Azure) infrastructure, define operational processes and KPIs, manage on-call and capacity planning, maintain customer relationships and compliance (MSP/ISO/SOC2), and evolve service offerings.

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.