Generalist Intern

Customer Onboarding / Tooling Engineer

About the Role

We are hiring a Customer Onboarding / Tooling Engineer with 4+ years of experience to manage end-to-end technical onboarding for enterprise customers on the Cloudflare platform. The role involves configuring networking and security services, troubleshooting onboarding issues, and ensuring customers achieve a successful go-live.

Location: Bangalore (5 Days Work From Office)

Experience: 4–8 Years

Employment Type: Full-Time

CTC: Up to ₹32 LPA

Shift: Rotational

Notice Period: Immediate / Up to 15 September 2026

Must-Have Skills

• Cloudflare
• DNS
• SSL/TLS
• CDN
• WAF
• Zero Trust / SASE
• Networking (HTTP/HTTPS, CIDR, NAT, BGP)
• REST APIs
• Python or Bash
• Salesforce / CRM

Key Responsibilities

• Execute end-to-end customer onboarding and platform configuration.
• Configure DNS, SSL/TLS, WAF, and Zero Trust policies.
• Troubleshoot DNS, SSL, authentication, caching, and networking issues.
• Guide customers through onboarding and implementation runbooks.
• Document onboarding activities in Salesforce/CRM and coordinate with Customer Engineering and Support teams.

Good to Have

• Terraform or Infrastructure-as-Code experience.
• Okta, Azure AD, SAML/OIDC integrations.
• Cloudflare certifications or production Cloudflare administration experience.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Key Responsibilities:

·        Build a clear product vision and define the roadmap aligned with company goals.

·        Drive the product lifecycle from ideation to launch and beyond.

·        Conduct market research, competitor analysis and gather customer feedback to identify opportunities.

·        Collaborate with cross-functional teams — engineering, design, sales and marketing — to deliver high-quality products on time.

·        Prioritize features based on business value and customer impact.

·        Define product requirements (PRDs, user stories) and manage sprint planning.

·        Monitor product performance metrics and continuously optimize for improvement.

·        Work closely with stakeholders to ensure strategic alignment and successful go-to-market execution.

Stay updated with industry trends and emerging technologies.

• Experience in Developing QlikView / Qlik Sense BI visualizations and dashboards. QlikSense and NPrintiing experience is a must.
• Strong knowledge of building Qlik Sense dashboards applying business rules and data validations.
• In-depth understanding of Qlik Sense Server Architecture, building QVDs and QVFs, applying business rules and data validations.
• Familiarity with charts and graphs, creating complex visualizations for dynamic aggregation Good Knowledge of Incremental data loading concepts and data modeling.
• Additionally, Qlik developers have to troubleshoot issues and provide the necessary solution

As a Staff Full-stack engineer, you will work across the Acceldata platform products. We’re looking for people with a strong background or inclination towards data engineering and systems; you’re comfortable in dealing with lots of moving pieces and can work at the  intersection of Databases, API's and Frontends

You will:          

• Be actively involved in strategic direction and product decisions.
• Design, build and maintain APIs, user-facing experiences, and services.
• Work closely with our customers and sales teams on a regular basis to carve out new features and use cases
• Work with MVC frameworks such as React or Angular 
• Work with database systems, RDBMS, Mongo, Elastic Search.
• Develop shared front-end components (JavaScript & CSS) for use across all of our products, enabling other UI engineers to build better products faster.

You need:      

• 8+ years of significant of web-application development experience in one or more JS frameworks. You care about building better products.
• Strong Computer Science fundamentals in data structures, algorithm design, and problem-solving.
• You're as comfortable writing plain JavaScript as working with modern frameworks like Angular. You've built your own controls and widgets in JavaScript. 
• You write unit tests for your JavaScript (really, you do). You've probably used Node. You have built complex JS web applications.
• Organized, thorough, and detail-oriented 

Good to have:

• Contribution to open-source projects.
• Background in enterprise software
• JVM performance tuning and debugging

Graphene is a Singapore Head quartered AI company which has been recognized as Singapore’s Best Start Up By Switzerland’s Seedstarsworld, and also been awarded as best AI platform for healthcare in Vivatech Paris. Graphene India is also a member of the exclusive NASSCOM Deeptech club. We are

developing an AI platform which is disrupting and replacing traditional Market Research with unbiased insights with a focus on healthcare, consumer goods and financial services.

Graphene was founded by Corporate leaders from Microsoft and P&G and works closely with the Singapore Government & Universities in creating cutting edge technology which is gaining traction with many Fortune 500 companies in India, Asia and USA.

Graphene’s culture is grounded in delivering customer delight by recruiting high potential talent and providing an intense learning and collaborative atmosphere, with many ex-employees now hired by large companies across the world.

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the rare start-ups which is self-funded and is yet profitable and debt free. We have already created a strong bench strength of Singaporean leaders and are recruiting and grooming more talent with a focus on our US expansion.

  Cloud Systems Administrator position responsibilities includes:

• Configure and fine tune cloud infrastructure
• Install and configure virtual cloud
• Support cloud servers including security configurations, patching, and
• Establish Virtual Private Networks (VPNs) to customer
• Develop scripts for automating client/server
• Monitoring, automating processes & recovery
• SQL server and noSQL dB configuration, maintenance and administration
• Network admin and configuration

• Engineering degree in Computer Science or equivalent
• Minimum of 4 years with Linux/Windows server administration
• Proficient with MS SQL Server administration, Cosmos DB
• Experience with supporting application and database servers
• Strong experience with IIS, other web servers
• Strong experience with Security – Identity, Access Control and Data Protection
• Strong experience with Microsoft Azure
• DevOps skills – Automated build and release management experience
• Resource and Cost Optimization

• Experience with Docker and Kubernetes. Certifications like CKAD a plus
• Certification on Azure Administration (AZ – 104) a plus

• Should have the passion to work for the organization thereby growing with the
• A good team player as well as be able to contribute individually as and when
• Should be able to mentor juniors if any need
• Should be able to learn any new technology if the project
• Leadership Capability, Self-motivated, highly collaborative, working through uncertainties and unknowns, Exceptional analytical and problem-solving skills, Getting things done, Continuous learning