CLOUDSUFI
https://cloudsufi.comAbout
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
Go Programming (Golang)
Java
Machine Learning (ML)
Data Analytics
React.js
React Native
Company social profiles
Jobs at CLOUDSUFI
About Us
CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services, and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.
Our Values
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/
Summary
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.
What You Will Do
Technical Leadership & Architecture
• Own the end-to-end technical architecture across all program tracks, ensuring alignment with Google Data Commons standards, APIs, and roadmap.
• Define and enforce engineering best practices, coding standards, and review processes across Data Engineering, Frontend, ML/AI, and DevOps/Infra workstreams.
• Make high-stakes design decisions on data modeling, pipeline architecture, schema design, and system integration — with clear documentation and traceability.
• Proactively identify technical risks, cross-track conflicts, and blockers; drive resolution before they impact delivery.
• Lead or participate in architecture review sessions with Google's core engineering team.
Cross-Track Coordination
• Act as the single technical point of contact horizontally across all tracks, breaking down silos and ensuring consistent patterns and interfaces.
• Facilitate technical syncs across track leads; surface dependencies early and coordinate sequencing of deliverables.
• Define shared standards for data contracts, API interfaces, and infrastructure configuration used across tracks.
Google Partnership & Communication
• Build and maintain a strong working relationship with the Google Data Commons core team — attending joint ceremonies, reviews, and design discussions.
• Represent CLOUDSUFI’s delivery quality and technical credibility in all interactions with Google stakeholders.
• Translate complex technical discussions into clear summaries for both technical and non-technical audiences across both organizations.
• Proactively communicate progress, blockers, and decisions to CLOUDSUFI leadership and Google program managers.
Delivery Quality & Engineering Excellence
• Drive code reviews, set quality gates, and ensure CI/CD pipelines, test coverage, and observability standards are met across all tracks.
• Champion performance, reliability, and scalability from design through production.
• Mentor and technically grow senior engineers across tracks without carrying formal HR responsibility.
• Contribute hands-on to critical technical work when needed — this is a hybrid IC and leadership role. Technology Stack & Domain Knowledge
Core / Must-Have
• Google Data Commons – deep familiarity with the Data Commons knowledge graph, DCID conventions, import pipelines, and the Statistical Variable hierarchy.
• 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.
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.
• Data Commons 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.
Preferred
• Experience in the data and AI consulting or professional services space, particularly within the Google Cloud partner ecosystem.
• Familiarity with open data, public statistics, or knowledge graph use cases (e.g. UN SDG data, census data, health/economic indicators).
• Prior contribution to open-source projects, particularly Google Data Commons or related tooling.
What CLOUDSUFI Offers
• A flagship engagement at the intersection of Google's open data infrastructure and real-world AI/data impact.
• Daily collaboration with Google's core engineering team — a rare opportunity to work inside one of Google's strategic open data initiatives.
• Competitive compensation benchmarked at Staff / Principal level in the Bangalore market.
• CLOUDSUFI’s full benefits package.
• A culture that values technical excellence, client trust, and a people-first approach to delivery.
Kubernetes
DockerAbout Us
CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.
Hybrid - 2 days in a week from Noida office
Key Responsibilities
- Design, develop, and maintain robust and scalable big data solutions
- Implement and manage CI/CD pipelines to automate the build, test, and deployment of data applications.
- Write high-quality, maintainable, and efficient code in Java.
- Create and manage build configurations using tools like Maven, Gradle, or Ant.
- Utilize Git for version control and to manage code repositories.
- Develop automation scripts using Bash and Python.
- Perform in-depth logging and debugging to identify and resolve issues in complex data systems.
- Develop and execute comprehensive test scripts to ensure the quality and reliability of data pipelines.
Requirement:
- Cloud Computing: Practical knowledge of GCP services, including VMs, GCS, and Dataproc or similar cloud data services.
- Programming: Proven proficiency in Java development.
- Build Tools: Solid experience with build automation tools like Maven, Gradle, or Ant.
- Version Control: Proficient in using Git.
- Big Data: Strong hands-on experience with the Hadoop ecosystem and Apache Spark.
- IDE: Experience with IntelliJ IDEA or similar development environments.
- CI/CD: A strong understanding of how CI/CD pipelines work and experience with relevant tools (e.g., Jenkins, GitLab CI).
- Scripting: Proficiency in Bash and Python.
- Operating Systems: In-depth knowledge of Linux distributions (Debian, Ubuntu, Rocky).
- Core Competencies:
- Excellent logging and debugging skills.
- Experience in writing test scripts and a commitment to software quality.
- Familiarity with the process of CVE resolutions.
Behavioural competencies required:
- Must have worked with US/Europe based clients in onsite/offshore delivery model
- Should have very good verbal and written communication, technical articulation, listening and presentation skills
- Should have proven analytical and problem solving skills
- Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills
- Should be a quick learner and team player
- Should have experience of working under stringent deadlines in a Matrix organization structure
- Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in past organizations
About Us :
CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.
Our Values :
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement :
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.
Role : Lead AI/Senior Engineer-AI
Location : Noida, Delhi/NCR
Experience : 5- 12 years
Education : BTech / BE / MCA / MSc Computer Science
Must Haves :
Conversational AI & NLU :
- Advanced proficiency with Dialogflow CX
- Intent classification, entity extraction, conversation flow design
- Experience building structured dialogue flows with routing logic CCAI platform familiarity
Agentic AI & Multi-Step Reasoning :
- Production experience with Google ADK (or LangChain/LangGraph equivalent)
- Multi-step reasoning and tool orchestration capability
- Tool-use patterns and function calling implementation
RAG Systems & Knowledge Management :
- Hands-on Vertex AI RAG Engine experience (or equivalent)
- Semantic search, chunking strategies, retrieval optimization
- Document processing pipelines (PDF parsing, chunking)
LLM/GenAI & Prompt Engineering :
- Production experience with Gemini models
- Advanced prompt engineering for customer support
- Langfuse experience for prompt management
Google Cloud Platform & Vertex AI :
- Advanced Vertex AI proficiency (Generative AI APIs, Agent Engine)
- Cloud Functions and Cloud Run deployment experience
- BigQuery for conversation analytics
API Integration :
- Genesys Cloud CX integration experience
- REST API design and webhook implementation
- Enterprise authentication patterns (OAuth 2.0)
Good To Have :
Conversational AI & NLU :
- Multi-language support implementation (Spanish/English)
- Telephony integration (speech recognition, TTS, DTMF)
- Barge-in handling and voice optimization
Agentic AI :
- Agent state management and session persistence
- Advanced fallback strategies and error recovery
- Dynamic tool selection and evaluation
RAG Systems :
- Re-ranking and advanced retrieval quality metrics
- Query expansion and context-aware retrieval
- Corpus organization strategies
LLM/GenAI :
- Prompt versioning, A/B testing, iterative refinement
- Prompt injection mitigation strategies
- In-context learning, few-shot, chain-of-thought techniques
LLMOps & Observability :
- Vertex AI Evaluation Service experience
- Groundedness, relevance, coherence, safety metrics
- Trace-level debugging with Cloud Trace
- Centralized logging strategies
Google Cloud :
- Application Integration connectors
- VPC Service Controls and enterprise security
- Cloud Pub/Sub for event-driven systems
Enterprise Integration :
- Third-party AI agent orchestration (SAP Joule, ServiceNow AI, Agentforce)
- Salesforce, SAP, ServiceNow integration patterns
- Context passage strategies for escalations
Architecture & System Design :
- Configuration-driven systems (Meta-Agent patterns)
- Microservices and containerization
- Scalable, multi-tenant system design
- Disaster recovery and failover strategies
Product Quality & KPIs :
- Customer support metrics expertise (CSAT, SSR, escalation rate)
- A/B testing and experimentation frameworks
- User feedback loop implementation
Deliverables :
- Architecture Design : End-to-end platform architecture, data flow diagrams, Dialogflow CX vs. ADK routing decisions
- Conversational Flows : 15+ dialogue flows covering billing, networking, appointments, troubleshooting, and escalations
- ADK Agent Implementation : Complex reasoning agents for technical support, account analysis, and context preparation
- RAG Pipeline : Document processing, chunking configuration, corpus organization (product docs, support articles, policies, promotions)
- Prompt Management : System prompts, Langfuse setup, playbook governance, version control
- Quality Framework : Evaluation pipeline, metrics dashboards, automated assessment, continuous improvement recommendations
- Integration Layer : Genesys handoff, webhook integrations, Application Integration setup, session management
- Testing & Validation : Conversation flow tests, performance testing (latency, throughput, 1000 concurrent users), security validation
- Response time <2 seconds (p95), 99.9% uptime, 1000 concurrent conversations
- Data encryption (TLS 1.2+, AES-256 at rest), PII redaction, 1-year data retention
- Graceful degradation and fallback mechanisms
About Us :
CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.
Our Values :
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement :
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.
The Opportunity
CloudSufi is building a focused, research-led outbound program to reach a concentrated set of Sales-Qualified Accounts five cycles, each targeting a tight account list that's been intentionally selected, not scraped. The program only works if someone owns the execution with real precision: the right accounts, the right contacts, the right message, the right sequence. You'll be the first person to own ABM end-to-end at CloudSufi. Your pipeline numbers will be visible to everyone.
What You'll Do
- Build and manage a focused target account list each cycle using intent signals and tech stack data deliberate selection, not volume plays.
- Achieve multi-role contact coverage (economic buyer, technical evaluator, champion) across Tier 1 accounts before any sequence launches.
- Run structured data enrichment workflows to build verified, deliverable contact lists at target accounts sequencing providers and fallbacks until coverage meets the bar.
- Build and deploy multi-touch outreach sequences: personalized messaging across email and LinkedIn, adapted at the account and persona level using AI-powered workflows.
- Build AI workflows to automate and accelerate your outreach motion — including multi-agent pipelines, sub-agent orchestration, and evaluation frameworks to measure what's working.
- Track what matters — account-to-opportunity conversion, cost-per-meeting, influenced revenue — and cut sequences that don't move those numbers.
- Build and maintain dashboards that give the team clear, real-time visibility into pipeline health: accounts touched, responses, meetings booked, conversion by segment and persona.
- Brief the Content Lead weekly on what messaging hooks and assets are landing — close the loop between content production and outreach performance.
Must-Haves
- You understand how ABM works end-to-end: account selection logic, contact mapping, sequence architecture, and conversion measurement. You don't need to be told the process — you have one.
- You've built AI workflows in your day-to-day — not as experiments, but as infrastructure. You can build multi-agent pipelines, deploy sub-agents for specific tasks, and run evals to know whether your automation is actually working.
- You connect your work to pipeline. When asked what your best campaign delivered, you answer in opportunities created and revenue influenced, not open rates or impressions.
- You've done multi-stakeholder mapping: you know the difference between a champion, a technical evaluator, and an economic buyer, and you sequence them differently.
- You measure everything and build dashboards to make that visibility real — for yourself and for the team. If a metric isn't visible, it doesn't exist to you.
Strong Preferences
- You've worked in a small team or startup where you owned the full outbound stack, not just one slice.
- You've managed enrichment workflows across multiple data providers — you know what to do when your primary source fails.
- You have a point of view on what makes a sequence worth running versus worth killing.
Hiring Process
Round 1 — Structured Screen with HR (10 min)
Five short questions — no prep needed. We're testing whether your instincts are right for this role before investing more time on both sides. Questions cover how you built your last outbound sequence, how you use AI in your workflow, and what leading indicator tells you a sequence isn't working. One hard disqualifier: describing AI use as "I use ChatGPT to write emails."
Round 2 — 90 min with GTM Lead (merged discussion + live build)
30 min discussion: We go deep on one or two campaigns from your R1 answers — not in theory, in specifics. Walk us to the number. Show us the AI workflow you mentioned. Describe the buying committee you mapped.
60 min live build (brief sent 24h before, screen shared throughout): Using public sources and Claude, you build four things — a 10-company ICP-fit account list with fit scores, buying contacts at the top 3, a personalised first-touch email to your #1 account, and a lead scoring framework for 200 accounts. The brief is realistic, not a trick. We're watching how you decompose the task, how you use AI structurally, and whether your email is company-specific or a name swap on a template.
Round 3 — Culture and Fit (30 min)
A conversation with the broader team. We're looking for someone who is direct, self-driven, and comfortable building in ambiguity. You'll get a sense of how we work; we'll get a sense of whether this is the right environment for you.
PythonAbout Us :
CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.
Our Values :
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement :
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.
Role : Lead AI/Senior Engineer-AI
Location : Noida, Delhi/NCR
Experience : 5- 12 years
Education : BTech / BE / MCA / MSc Computer Science
Must Haves :
Conversational AI & NLU :
- Advanced proficiency with Dialogflow CX
- Intent classification, entity extraction, conversation flow design
- Experience building structured dialogue flows with routing logic CCAI platform familiarity
Agentic AI & Multi-Step Reasoning :
- Production experience with Google ADK (or LangChain/LangGraph equivalent)
- Multi-step reasoning and tool orchestration capability
- Tool-use patterns and function calling implementation
RAG Systems & Knowledge Management :
- Hands-on Vertex AI RAG Engine experience (or equivalent)
- Semantic search, chunking strategies, retrieval optimization
- Document processing pipelines (PDF parsing, chunking)
LLM/GenAI & Prompt Engineering :
- Production experience with Gemini models
- Advanced prompt engineering for customer support
- Langfuse experience for prompt management
Google Cloud Platform & Vertex AI :
- Advanced Vertex AI proficiency (Generative AI APIs, Agent Engine)
- Cloud Functions and Cloud Run deployment experience
- BigQuery for conversation analytics
API Integration :
- Genesys Cloud CX integration experience
- REST API design and webhook implementation
- Enterprise authentication patterns (OAuth 2.0)
Good To Have :
Conversational AI & NLU :
- Multi-language support implementation (Spanish/English)
- Telephony integration (speech recognition, TTS, DTMF)
- Barge-in handling and voice optimization
Agentic AI :
- Agent state management and session persistence
- Advanced fallback strategies and error recovery
- Dynamic tool selection and evaluation
RAG Systems :
- Re-ranking and advanced retrieval quality metrics
- Query expansion and context-aware retrieval
- Corpus organization strategies
LLM/GenAI :
- Prompt versioning, A/B testing, iterative refinement
- Prompt injection mitigation strategies
- In-context learning, few-shot, chain-of-thought techniques
LLMOps & Observability :
- Vertex AI Evaluation Service experience
- Groundedness, relevance, coherence, safety metrics
- Trace-level debugging with Cloud Trace
- Centralized logging strategies
Google Cloud :
- Application Integration connectors
- VPC Service Controls and enterprise security
- Cloud Pub/Sub for event-driven systems
Enterprise Integration :
- Third-party AI agent orchestration (SAP Joule, ServiceNow AI, Agentforce)
- Salesforce, SAP, ServiceNow integration patterns
- Context passage strategies for escalations
Architecture & System Design :
- Configuration-driven systems (Meta-Agent patterns)
- Microservices and containerization
- Scalable, multi-tenant system design
- Disaster recovery and failover strategies
Product Quality & KPIs :
- Customer support metrics expertise (CSAT, SSR, escalation rate)
- A/B testing and experimentation frameworks
- User feedback loop implementation
Deliverables :
- Architecture Design : End-to-end platform architecture, data flow diagrams, Dialogflow CX vs. ADK routing decisions
- Conversational Flows : 15+ dialogue flows covering billing, networking, appointments, troubleshooting, and escalations
- ADK Agent Implementation : Complex reasoning agents for technical support, account analysis, and context preparation
- RAG Pipeline : Document processing, chunking configuration, corpus organization (product docs, support articles, policies, promotions)
- Prompt Management : System prompts, Langfuse setup, playbook governance, version control
- Quality Framework : Evaluation pipeline, metrics dashboards, automated assessment, continuous improvement recommendations
- Integration Layer : Genesys handoff, webhook integrations, Application Integration setup, session management
- Testing & Validation : Conversation flow tests, performance testing (latency, throughput, 1000 concurrent users), security validation
- Response time <2 seconds (p95), 99.9% uptime, 1000 concurrent conversations
- Data encryption (TLS 1.2+, AES-256 at rest), PII redaction, 1-year data retention
- Graceful degradation and fallback mechanisms
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
XMLReporting to: Solution Architect / Program Manager / COE Head
Location: Noida, Delhi NCR
Shift: Normal Day shift with some overlap with US timezones
Experience: 4-7 years
Education: BTech / BE / MCA / MSc Computer Science
Industry: Product Engineering Services or Enterprise Software Companies
Primary Skills - Java 8/9, Core Java, Design patterns (more than Singleton & Factory),
Webservices development REST/SOAP, XML & JSON manipulation, CI/CD.
Secondary Skills - Jenkins, Kubernetes, Google Cloud Platform (GCP), SAP JCo library
Certifications (Optional): OCPJP (the Oracle Certified Professional Java Programmer) / Google
Professional Cloud Developer
Required Experience:
● Must have integration component development experience using Java 8/9 technologies
and service-oriented architecture (SOA)
● Must have in-depth knowledge of design patterns and integration architecture
● Experience with developing solutions on Google Cloud Platform will be an added
advantage.
● Should have good hands-on experience with Software Engineering tools viz. Eclipse,
NetBeans, JIRA, Confluence, BitBucket, SVN etc.
● Should be very well verse with current technology trends in IT Solutions e.g. Cloud
Platform Development, DevOps, Low Code solutions, Intelligent Automation
Good to Have:
● Experience of developing 3-4 integration adapters/connectors for enterprise applications
(ERP, CRM, HCM, SCM, Billing etc.) using industry standard frameworks and
methodologies following Agile/Scrum
Non-Technical/ Behavioral competencies required:
● Must have worked with US/Europe based clients in onsite/offshore delivery model
● Should have very good verbal and written communication, technical articulation, listening
and presentation skills
● Should have proven analytical and problem solving skills
● Should have demonstrated effective task prioritization, time management and
internal/external stakeholder management skills
● Should be a quick learner, self starter, go-getter and team player
● Should have experience of working under stringent deadlines in a Matrix organization
structure
● Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in
past organizations
Job Responsibilities:
● Writing the design specifications and user stories for the functionalities assigned.
● Develop assigned components / classes and assist QA team in writing the test cases
● Create and maintain coding best practices and do peer code / solution reviews
● Participate in Daily Scrum calls, Scrum Planning, Retro and Demos meetings
● Bring out technical/design/architectural challenges/risks during execution, develop action
plan for mitigation and aversion of identified risks
● Comply with development processes, documentation templates and tools prescribed by
CloudSufi or and its clients
● Work with other teams and Architects in the organization and assist them on technical
Issues/Demos/POCs and proposal writing for prospective clients
● Contribute towards the creation of knowledge repository, reusable assets/solution
accelerators and IPs
● Provide feedback to junior developers and be a coach and mentor for them
● Provide training sessions on the latest technologies and topics to others employees in
the organization
● Participate in organization development activities time to time - Interviews,
CSR/Employee engagement activities, participation in business events/conferences,
implementation of new policies, systems and procedures as decided by Management team.
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