
About the Role
CLOUDSUFI, a Google Premium Partner specializing in data and AI solutions, is seeking a Staff / Principal Tech Lead to drive the technical execution of our Google Data Commons program. This is a high-visibility, horizontal leadership role embedded within the Google ecosystem — based physically at Google's Bangalore office — working in close daily collaboration with Google's core Data Commons engineering team. The Tech Lead is the technical spine of the engagement. They sit across all four delivery areas — Data Engineering, Frontend, ML/AI, and DevOps/Infrastructure — providing architectural direction, resolving cross track dependencies, and ensuring the quality and coherence of everything we ship. Equally critical is the ability to represent CloudSufi in a credible, articulate, and collaborative manner to Google counterparts at every level.
This is a genuinely hands-on role: the successful candidate must be able to write, debug, and reason about Python and GCP code themselves — not only direct others or lean on AI coding assistants — and must be comfortable operating in an open-source, public-data environment without relying, for example, on Google internal (google3) tooling.
Technology Stack & Domain Knowledge
Core / Must-Have
• Relevant experience on Knowledge Graph, Statistical Data and Analytics (any experience with Google Data Commons is a nice to have, but not required)
• Google Cloud Spanner – schema design, distributed transactions, interleaved tables, and performance tuning at scale.
• Google BigQuery – data modeling, partitioning/clustering strategies, query optimization, and integration with downstream consumers.
• Data pipelines – Apache Beam / Dataflow, or equivalent GCP-native ETL tooling.
• Infrastructure as Code – Terraform on GCP; Cloud Build, Artifact Registry, GKE or Cloud Run.
• Demonstrable, autonomous hands-on proficiency in Python and native GCP tooling — able to code and debug independently in a live technical discussion, with AI-assisted development as a complement to (not a replacement for) that proficiency.
• Direct experience working with open, public, and unstructured datasets (e.g. sourcing, cleaning, and integrating public statistics or open data feeds) using open-source or standard GCP-native tooling.
• Solid grounding in knowledge graph vs data warehouse principles, and how to design for schema and data drift in an open-source knowledge graph context.
• CI/CD experience and working with GitHub
• Full stack experience, specially with data centric apps/systems Strong Advantage
• Python (primary language for Data Commons import tooling and ML pipelines).
• TypeScript / React for the Data Commons web frontend and visualization layers.
• Vertex AI, BigQuery ML, or equivalent ML lifecycle tooling.
• Knowledge graph principles, RDF/SPARQL, or statistical data modeling.
• DataCommons Python / REST APIs and the DCID import automation tools.
• Experience with Google's internal engineering culture, tools (e.g. Buganizer, Critique, Cider), or prior delivery inside a Google product or partnership engagement.
Experience & Qualifications Required
• 10+ years of software engineering experience, with at least 3 years in a formal or informal tech lead capacity overseeing multiple workstreams.
• Demonstrable experience delivering production-grade systems on Google Cloud Platform.
• Prior experience working with or for Google — as a Googler, through a Google partnership program, or as a contractor embedded in a Google team — is strongly preferred.
• Exceptional verbal and written English communication skills; able to engage confidently with senior Google engineers and program managers.
• Proven ability to operate across ambiguous, fast-moving programs with multiple parallel tracks.
• Based in Bangalore, India, and able to work on-site at Google's Bangalore office on a regular basis.
• Able to read and interpret an RFP / SOW and connect its terms to a workable technical delivery plan.

About CLOUDSUFI
About
We exist to eliminate the gap between “Human Intuition” and “Data-Backed Decisions”
Data is the new oxygen, and we believe no organization can live without it. We partner with our customers to get to the core of their problems, enable the data supply chain and help them monetize their data. We make enterprise data dance!
Our work elevates the quality of lives for our family, customers, partners and the community.
The human values that we display in all our interactions are of:
Passion – we are committed in heart and head
Integrity – we are real, honest and, fair
Empathy – we understand business isn’t just B2B, or B2C, it is H2H i.e. Human to Human
Boldness – we have the courage to think and do differently
The CLOUDSUFI Foundation embraces the power of legacy and wisdom of those who have helped laid the foundation for all of us, our seniors. We believe in their abilities and we pledge to equip them, to provide them jobs, and to bring them sufi joy.
Tech stack
Connect with the team
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Tele sales Representative responsibilities include:
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Answering questions about products or the company.
Asking questions to understand customer requirements and close sales.
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We are looking for an enthusiastic Tele sales Representative to contribute in generating sales for our company. You will be responsible for closing sales deals over the phone and maintaining good customer relationships.
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Contact potential or existing customers to inform them about a product or service using scripts
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Handle grievances to preserve the company’s reputation
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Good Good Piggy is a young start-up. In the first six months not only we reached Shark Tank, but also were pegged as Next Leader 2021 by Start up Review. The start-up is popularly aligned with BFSI network as well as the Education sphere, with a potential to expand in both industries.
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Notice Period: 30-45 Days
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Role: Full Stack Developer
Industry Type: Ed-FinTech
Employment Type: Full Time, Permanent
Role Category: Software Development
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Expertise in designing back-end applications with Node.js
Experience in design and development of Full Stack applications using one or
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Setup/configure CI/CD pipeline leveraging AWS native services or traditional
tools (e.g. Jenkins, GitHub, Artifactory, SonarQube, etc)
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Organizational and leadership abilities
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A people person
Excellent attention to detail
Passionate about technology, with a general thirst for digital knowledge
Bright, motivated and driven
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Front end our engagement with clients and play an active role in the growth of accounts.
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Work within the quality parameters defined.
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