66degrees is a leading Google Cloud Premier Partner. We believe that great engineering takes heart. Focusing exclusively on Google Cloud, we guide our clients on their digital transformation journey to deliver the most innovative and disruptive projects in the industry. 66degrees is dedicated to providing our employees with a challenging and exciting work environment without forgetting to have some fun along the way. Lets get you here. Role Overview As the ideal Conversational Engineer, you are someone who can do a deep technical dive and communicate effectively with others. Our Conversational Engineers love to focus on the user experience and build complex virtual agents for our clients. Responsibilities Lead discovery workshops to capture business requirements, success criteria, and constraints to understand and prioritize, document virtual agent requirements, build virtual agents that are conversational, friendly, engaging and efficient Be able to present the conversational agents in Dialogflow CX to customers and work through QA issues, feedback, and troubleshooting Creatively solve problems using all components of Dialogflow CX - including generators, data stores, and generative fallback Work closely with product, development, and engineering teams to validate design solutions, and participate in iterative product enhancement cycles Create new concepts, wireframes, mockups, and prototypes based on internal requirements and creative briefs Establish visual and interactive standards documentation, and work with the development team to ensure that designs fit the technical specifications of the product or application Cultivate an understanding of industry trends and regularly use this information Qualifications 2+ years experience in building virtual agent solutions (preferably Dialogflow CX) Experience bringing a virtual agent to market (or working on an already-deployed virtual agent), either externally for customers or internally for company associates Intimate knowledge of NLP, NLU, and the complexities of creating and maintaining strong models, intents, and entities Strong understanding of the importance of data to the overall virtual agent continuous improvement lifecycle Experience working with programming languages like Java or Python to pass data between source systems for use in virtual agent flows Prior experience with user dashboards or analytical applications is a plus (Looker, Tableau, Power BI, etc.) Prototyping tools, such as Invision or prototyping within Figma Excellent communication and interpersonal skills, Up-to-date knowledge of web and mobile trends and technology, and thorough understanding of interface design and usability standards Strong conceptual skills and proven ability to create rapid wireframes/mockups and prototypes

Overview of Role 66degrees Software Engineers solve complex challenges to build and run AI, analytics, and other mission critical applications for our clients. You will have the opportunity to partner with businesses across different industries, working with a range of technologies like AWS, Azure, and Google Cloud Platform. As part of a cross-functional team composed of software, AI, conversational, data, and site reliability engineers, you will solve real-world problems and work on projects that deliver business value for customers ranging from Fortune 500s to unicorn startups. You will also receive hands-on exposure to cutting-edge technology from managers, mentors, and fellow team members. Our ideal candidate will understand the value of teamwork and love the excitement of working in a Managed Solutions team where no two days are the same. Were seeking a highly motivated individual with a strong desire to exceed customer expectations and a passion for problem-solving. Responsibilities Design, develop, and maintain scalable cloud-native applications. Build and optimize frontend applications using React and backend services with Python . Implement unit testing and follow test-driven development (TDD) principles. Work in an Agile/Scrum environment, collaborating closely with cross-functional tea Establish and maintain CI/CD pipelines to accelerate software delivery. Utilize Git for version control and collaborate effectively within a team. Work with GCP (preferred) or other cloud platforms like AWS/Azure . Qualifications 3+ years in Python and React development Experience in building cloud native applications Familiarity with unit testing and test-driven development (TDD). Proficiency with Git and Agile development methodologies Familiarity with CI/CD pipeline set up and software development Strong communication skills and ability to work in a collaborative team environment

Overview of Role Our ideal candidate will understand the value of teamwork and love living in the in-between of project delivery and managing high-trust client relationships. We are looking for the right fit with our rapidly growing organization and will invest in training. Responsibilities You will solve real-world problems and will work on projects that matter to the business, delivering software as part of a cross-functional team composed of software engineers, designers and product managers. Get hands-on exposure with cutting-edge technology from managers, mentors, and fellow team members. Deliver business value for customers in teams committed to the practices and principles of UCD (User-Centered Design), and Lean Product Management. Depending on your background, interest, and technical alignment to the various areas of Google Cloud Platform technology stack, you will be working on development and modernization projects as part of the 66degrees Cloud Native Application Development and Modernization team. Qualifications 8+ years of experience designing, architecting, and implementing microservices architecture. 5+ years of experience in designing architecture. Deep knowledge of software architecture in distributed systems. Able to conduct code reviews and mentor software engineers. 5+ years of experience in developing cloud-native applications. Experience in both front-end and back-end development (must have deeper experience in backend development, but familiarity and exposure with full-stack development required). Proficient in Java. Also Proficient in one of the following: JavaScript, Python, or Typescript. Proficiency in developing applications on the Google Cloud Platform suite of products and services (or equivalent cloud), primarily with serverless architectures. Familiar with unit testing and test-driven development (TDD). Familiar with the scrum process and Git. Experience establishing CI/CD pipelines to accelerate software delivery. Background in professional services/consulting. Strong communication skills. Eager to work in a teamwork/collaborative environment.

Overview of Role Were on the hunt for a seasoned Data Analytics Architect whos not afraid to roll up their sleeves and dive into the data trenches with us. As a Data Analytics Architect, youll be the mastermind behind designing and implementing cutting-edge data solutions that solve real-world business problems for our clients across various industries. Youll be the bridge between the technical and the business worlds, translating complex data insights into actionable strategies that drive tangible results. Responsibilities Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Work with Clients to enable them on the Looker Platform, teaching them how to construct an analytics ecosystem in Looker from the ground up. Advise clients on how to develop their analytics centers of excellence, defining and designing processes to promote a scalable, governed analytics ecosystem. Utilize Looker to design and develop interactive and visually appealing dashboards and reports for end-users. Write clean, efficient, and scalable code (LookML, Python as applicable) Conduct performance tuning and optimization of data analytics solutions to ensure efficient processing and query performance. Stay up to date with the latest trends and best practices in cloud data analytics, big data technologies, and data visualization tools. Collaborate with other teams to ensure seamless integration of data analytics solutions with existing systems and processes. Provide technical guidance and mentorship to junior team members, sharing knowledge and promoting best practices. Qualifications Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Proven track record as a Data Analytics Architect or a similar role, with a minimum of 5 years experience in data analytics and visualization. Excellent comprehension of Looker and it s implementation, with additional analytics platform experience a major plus - especially MicroStrategy. Experience with Google Cloud and its data services is preferred, however experience with other major cloud platforms (AWS, Azure) and their data services will be considered. Strong proficiency with SQL required. Demonstrated experience working with clients in various industry verticals, understanding their unique data challenges and opportunities. Excellent programming skills in Python and experience working with python-enabled capabilities in analytics platforms. Solid understanding of data modeling, ETL processes, and data integration techniques. Experience working with dbt or dataform is a plus. Strong problem-solving skills and the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Google Cloud certifications and any analytics platform certifications are a plus. A desire to stay ahead of the curve and continuously learn new technologies and techniques.

We are seeking an experienced Enterprise Data Architect to join our team, focusing primarily on Data engineering, Data Analytics/Visualization and cloud engineering. The ideal candidate will play a crucial role in shaping our technology landscape, participating in project delivery, and contributing to presales activities during lean periods. Responsibilities Design and oversee enterprise-wide Data engineering, Data modeling, Data Analytics and cloud architecture based solutions Lead and participate in large-scale projects, integrating solutions across cloud,data engineering, Analytics practices Engage in customer-facing roles, including presales activities and project delivery Develop robust data governance frameworks, ensuring compliance with regulations like GDPR, CCPA, or other industry standards. Collaborate with cross-functional teams to ensure alignment of technology solutions with business objectives Stay current with emerging technologies and industry trends, particularly in cloud computing Build reusable assets, frameworks, and accelerators to enhance delivery efficiency. Participate in and potentially lead architectural reviews and governance processes Contribute to the development of architectural standards, guidelines, and best practices Travel as required, particularly to the UK, for customer engagements and project work Qualifications 12-15 years of total experience in IT, with a minimum of 3 years in an Enterprise Data Architect capacity Strong expertise in data and cloud technologies, with hands-on experience in data architecture, cloud migrations, and modern data platforms. Knowledge of design patterns and architectural styles Experience with data modeling and database design. Experience with Google Cloud Platform is MUST, has used Google products on data side; multi-cloud expertise is a plus Proven track record of designing and implementing large-scale, complex systems Familiarity with modern data tools, such as dbt, Snowflake, and Kafka, as well as proficiency in SQL and Python. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences Strong leadership and mentoring skills