Search the 20 jobs at 66degrees

The Conversational Architect will lead workshops to gather business requirements, develop engaging virtual agents using Dialogflow CX, communicate QA feedback, and collaborate with product and engineering teams. They will also create wireframes and prototypes, establish design standards, and keep up with industry trends to enhance digital solutions.

The Cloud Architect at 66degrees will build advisory relationships with clients, lead project scoping, and design solutions within the Google Cloud ecosystem. Responsibilities include integrating enterprise architectures, promoting Google Cloud, and advising on CI/CD practices and security in cloud environments.

The Full Stack Developer will design, develop, and maintain software solutions utilizing Python and React. Responsibilities include collaboration with teams, writing clean code, identifying optimization opportunities, and contributing to both internal and customer initiatives, all while working across time zones.

The GWS Deployment Lead at 66degrees will lead and implement Google Workspace deployments and migrations, manage client expectations, configure Cloud Platform services, and guide technical discussions. The role involves coaching teams, identifying business opportunities, and ensuring project success while collaborating across departments.

The MicroStrategy Administrator is responsible for installing, configuring, and maintaining the MicroStrategy platform. This role involves monitoring system performance, troubleshooting issues, implementing security measures, collaborating with clients and analysts, providing user training and support, and automating administrative functions. The ideal candidate should have experience in Python, SQL, and automation, along with strong problem-solving and communication skills.

Seeking a Salesforce & Certinia Administrator to manage Salesforce platform, optimize Certinia for project management, and create impactful reports and dashboards. Responsibilities include user provisioning, technical support, configuration modifications, reporting, project management support, and more.

The Conversational Engineer will lead workshops to gather business requirements and create engaging virtual agents using Dialogflow CX. Responsibilities include problem-solving with conversational AI components, collaborating with teams for product enhancements, developing wireframes and prototypes, and documenting visual standards.

As a Conversational Architect, you will lead workshops to capture requirements, build and present conversational agents using Dialogflow CX, and collaborate with product teams for enhancements. You will create interactive prototypes and visual standards while keeping up with industry trends.

The Data Architect will design and maintain data architectures on Google Cloud, focusing on scalability and efficiency. Key responsibilities include data modeling, governance, building data pipelines, and optimizing performance, while collaborating with other team members to meet business needs.

The Data Architect will design, implement, and manage data architecture focusing on Oracle and cloud platforms. Responsibilities include developing data frameworks, leading cloud integration, planning data migration, enforcing governance policies, and collaborating with stakeholders on technical solutions.

As a Data Architect, you will design and implement data strategies for clients utilizing Google Cloud and Azure technologies. Responsibilities include architecting data warehouses, migrating data, and providing educational workshops. You will serve as a liaison between business and technology teams, ensuring effective architecture solutions are in place.

The Data Architect will design, develop, and maintain cloud data architectures on Google Cloud Platform. Responsibilities include building scalable data pipelines, ensuring data governance, and collaborating with data teams to meet business needs while optimizing system performance.

Cloud Strategy Consultants at 66degrees work with large cloud users to overcome technology challenges using Google Cloud Platform solutions. They build relationships with clients, develop strategic account plans, and ensure successful implementation of cloud services while contributing to client satisfaction and retention.

The Software Architect will design and implement microservices architecture, contribute to cloud-native applications, review code, mentor engineers, and collaborate in cross-functional teams. You'll work with technologies from Google Cloud Platform, focusing on delivering value through User-Centered Design and Lean Product Management practices.

As a Data Engineer, you will lead projects within GCP environments, focusing on data migration, management, and analysis. Your role includes designing data solutions, implementing data pipelines for various data streams, ensuring data quality, collaborating with teams, and guiding clients on data strategies.

As a Data Analytics Engineer, you will build and implement data analytics solutions using Business Intelligence platforms like Looker, MicroStrategy, and PowerBI. You'll work with clients to develop analytics ecosystems, create dashboards and reports, and mentor junior team members. Additionally, you'll focus on performance tuning and ensure seamless integration of solutions within existing systems.

As a Conversational Engineer, you will lead workshops to define virtual agent requirements, build conversational agents using Dialogflow CX, and collaborate with teams through the design and enhancement process. Additional responsibilities include problem-solving within Dialogflow and creating prototypes based on requirements.

The Solutions Architect will lead the design and implementation of AI/ML solutions tailored to client needs. The role involves collaborating with sales and engineering teams, conducting technical workshops, and translating complex concepts into actionable solutions that enhance business outcomes. The candidate will also mentor junior staff and manage multiple projects effectively.

The AI/ML Team Lead will provide technical guidance to a team of engineers and data scientists, design scalable AI/ML solutions, oversee project execution, and cultivate a culture of learning and innovation. Responsibilities include collaboration with cross-functional teams and staying updated on AI/ML advancements.

You will develop cloud-native applications, work within cross-functional teams, and contribute innovative software solutions to drive business value. Engage with cutting-edge technology and practices in a collaborative environment, modernizing systems and delivering impactful results.