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Support Engineer

The Support Engineer will be responsible for providing technical support for the Risk Management System (RMS) product, ensuring that both internal and external users can resolve issues quickly and efficiently. This role involves troubleshooting technical problems, providing solutions, and collaborating with engineering and QA teams to enhance the product. Additionally, the Support Engineer will assist with user training, monitor system performance, and contribute to continuous product improvement. 

Roles and Responsibilities

• Act as the first point of contact for users experiencing issues with the RMS platform, both internally and externally. 
• Troubleshoot and resolve product-related issues, ensuring minimal disruption to users. 
• Collaborate with product and engineering teams to identify and resolve recurring technical problems and escalate more complex issues. 
• Document support tickets, ensuring detailed tracking of issues, resolutions, and feedback. 
• Provide training and guidance to users on how to effectively use the RMS system.
• Ensure customer satisfaction by providing timely and effective solutions to any issues faced by users. 
• Assist in the preparation of knowledge base articles, user documentation, and FAQs to empower users to resolve minor issues independently.
• Respond to user queries in a friendly and professional manner, ensuring clear communication. 
• Proactively follow up with customers to ensure issues are resolved to their satisfaction.

Required Skills

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. 
• Prior experience in software support preferably in a fintech or financial services environment. 
• Experience with troubleshooting software and hardware issues in a production environment.
• Hands-on experience with common support/ticketing tools (e.g., JIRA, Bugzilla, Selenium, Postman, etc.).
• Ability to manage multiple priorities and deliverables in a fast-paced environment.
• Familiarity with databases like SQL.

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

We are seeking a hands-on and technically strong Generative AI Engineer to join the AI Platform Capabilities team as part of a Platform Implementation Partner engagement. In this role, you will design, build, and deploy enterprise-grade Generative AI platform capabilities across multiple Local Business Units operating on both GCP and Azure environments.

The role focuses on engineering production-ready and reusable GenAI components across the full AI stack, including Decision & Orchestration Layers, Execution Runtime Layers, and Build & Lifecycle Layers. You will work closely with implementation partners and Data & AI teams to ensure scalable, enterprise-compliant AI capabilities are delivered within project timelines. This is a deeply technical engineering role with strong emphasis on implementation and operationalization rather than client management.

Key Responsibilities:

• Design and implement enterprise-grade RAG pipelines including ingestion, chunking, embeddings, vector search, retrieval logic, and evaluation frameworks.
• Build multi-agent AI systems with orchestration, semantic routing, memory management, workflow execution, and agent communication capabilities.
• Develop centralized LLM Gateway solutions covering model routing, observability, caching, rate limiting, and policy enforcement.
• Implement scalable GenAIOps, AgentOps, and MLOps frameworks for deployment, monitoring, evaluation, and governance of AI systems.
• Build scalable AI services and REST APIs using Python and deploy them on cloud-native infrastructure.
• Implement AI governance, safety guardrails, audit logging, PII protection, and compliance frameworks.
• Integrate AI solutions into CI/CD pipelines and provision infrastructure using Infrastructure-as-Code practices.

Must-Have Skills:

• Strong hands-on experience with Generative AI, RAG pipelines, embeddings, vector databases, and retrieval evaluation.
• Experience building agentic AI systems including orchestration frameworks, semantic routers, reasoning engines, and memory management.
• Expertise with LLM Gateway implementations, tool integrations, event-driven architectures, and AI runtime systems.
• Solid understanding of GenAIOps, AgentOps, and MLOps principles and tooling.
• Strong experience with GCP AI/ML ecosystem including Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, and Cloud Storage.
• Excellent Python programming skills for AI pipelines, APIs, and automation workflows.
• Experience implementing AI governance, safety, compliance, and monitoring frameworks.
• Hands-on experience with CI/CD pipelines and Terraform-based infrastructure automation.

Nice-to-Have Skills:

• Experience working in multi-cloud environments across GCP and Azure.
• Familiarity with LangChain, LlamaIndex, RAGAS, DeepEval, or Vertex AI Rapid Eval.
• Exposure to Knowledge Graphs, Document Intelligence platforms, and Agent Marketplace concepts.
• Experience with enterprise AI-ready data layers including Vector Stores, Feature Stores, and Embedding Infrastructure.
• BFSI domain knowledge including regulatory compliance and data sovereignty considerations.
• Google Cloud Professional Machine Learning Engineer certification.
• Experience working in large-scale enterprise transformation programs. 

At Nvest, we’ve never done things the conventional way. For the first ten years of our journey, we focused purely on one thing — building products that solve real problems for insurers. Problems that others found too complex to crack. 

No sales. No marketing. 

Just product excellence. 

And word got around. Our growth came entirely through referrals and the enthusiasm of our customers, who simply couldn’t stop talking about how our solutions worked for them. Today, Nvest’s products hold a significant market share in the Indian insurance space, and our clients continue to bring us their toughest challenges — because they trust us to figure them out. 

Now, we’re setting our sights on expanding across Asia. 

And that’s where you come in. 

What We’re Looking For 

We’re building a founding team of driven Business Development professionals who can replicate our success story across new markets. People who: 

 Have a deep curiosity for understanding customer and market needs 

 Can evangelize our solutions in a way that feels natural, consultative, and authentic 

 Thrive in ambiguity, think independently, and drive things forward without waiting for instructions 

 Don’t take “no” for an answer and love finding creative ways around obstacles 

 Bring energy, ownership, and resilience to every conversation 

If you’re the kind of person who sees opportunity where others see challenge — we’d love to talk. 

What You’ll Be Doing 

 Build and manage a robust pipeline of insurer prospects across key Asian markets 

 Identify customer pain points and position Nvest products as the solution of choice 

 Partner closely with product and marketing teams to shape go-to-market strategies 

 Track, measure, and refine outreach efforts to increase conversion and engagement 

What You Bring

 3–8 years of enterprise technology sales or business development experience 

 Experience in insurance technology — a plus, but not mandatory 

 Exposure to selling in Asian markets is wonderful, but not a dealbreaker 

 Excellent communication, presentation, and relationship-building skills 

 But more than anything, a hunger to succeed, come what may. 

What You’ll Get 

 A competitive salary and performance-based incentives 

 A front-row seat on a high-growth international expansion journey 

 The chance to build something from the ground up — and grow as we grow 

 An open, collaborative environment where ideas matter and results count 

So, no refrigerator-selling here. We solve genuine customer problems that matter to the insurance industry.

JD - API + Mobile testing (IOS)

• Strong experience in Manual Testing of Enterprise Class and Financial application and web portals.
• Expert in UI testing on multiple platforms and browsers, and API testing using Postman.
• Experience in UI Automation using tools like Selenium web driver and API Automation using Rest Assured framework with Java.
• Good Experience in Mobile App testing on iOS platform.
• Good to have exposure to Automation testing of mobile apps via Appium Exposure and know-how of performance testing and security testing
• tools.
• Good experience in understanding the requirements, deriving the goals and taking ownership of tasks.
• Knowledge of AWS / Cloud would be a plus.
• Should be self-driven engineer with desire to use practical and professional concepts in QA along with application of QA standards and
• procedures to resolve routine issues.
• Should be able to write use cases based on product requirements, execute them and report issues in bug tracking system.
• Should be self-starter, lead and self-contributing to the QA team. Helps QA community to learn Automation, impart necessary technical
• knowledge. Improve process and quality via test and process automation: defining right strategy and technology based on process and
• architecture assessment by engaging different roles and stakeholders.
• Deep practical experience with cutting edge tools for Web, Mobile, Desktop, DB and Web-service testing (Selenium, Katalon, Ready API/
• Postman etc.)
• Experience using SQL regarding writing and understanding queries and procedures.

Responsibilities:

• Take ownership of QA requirements and provide testing guidance to the technology team Lead and coordinate the application enhancement
• and tech ops testing activities with technology and business teams
• Should understand the requirement, design and develop the automation test cases
• Define and establish test strategy and process
• Understand complex nature of the application and come up with the test plan
• Should also work as Individual Contributor
• Participate in team communication and collaborate in planning activities, including stand-ups, iteration planning meetings (IPM), and
• retrospectives.
• Manage and communicate regular updates on project status (e.g., work completed, work in progress, next steps, risks, quality, KPIs, and
• costs) to stakeholders, peers, Product managers, QA Manager, and others.

Qualifications:

• Very good hands-on and good knowledge of backend testing procedures, API testing and UI Testing.
• Exposure to test management and bug tracking tool (like ALM, Testrail, X-Ray, JIRA or others), Agile methodologies.
• Knowledge regarding financial services, and workflows, payment gateways, e-wallets etc

Join our energetic and innovative team as a rockstar Field Sales Representative!

We're seeking a motivated individual to dominate the sales game and have a blast. Ready to make waves in Mumbai's salon and beauty industry? This opportunity is perfect for you!

Responsibilities:

- Forge strong bonds with salon owners, managers, and staff—be their indispensable partner!

- Dazzle potential clients with the amazing benefits of our cutting-edge salon aggregator app.

- Crush sales targets like a pro and become our clients' superhero with top-notch support.

- Master record-keeping using our super-smooth CRM system.

- Stay ahead of trends and competition to be the leader in the industry.

- Command sales at meetings, training sessions, and trade shows with your sales prowess and charisma!

Requirements:

- Proven sales track record—showcase your achievements!

- Excellent communication and presentation skills. - Relationship-building expert with autonomy and schedule management skills.

- Tech-savvy with proficiency in Microsoft Office, Google Suite, and CRM systems.

- Familiarity with the beauty and salon industry is a plus.

We encourage female candidates to shine! Gain unique access to salons where men aren't typically allowed and leave an unforgettable impression with your exceptional sales skills. If you're a go-getter passionate about sales, we can't wait to welcome you!

Apply now and let's revolutionise the salon world together! We offer competitive compensation packages tailored to exceptional individuals. Let's have a conversation about how we can make it work for you.

Compensation/Packages - Depending on candidate calibre

CupShup is looking for Operations Executive for the respective city. You will be responsible to handle the network growth, BTL Campaign function & operations, audit i. e. internal audits, client audits, cost audits, etc.

Responsibilities:

• Exeuctiion of BTL / Offline marketing campaigns across locations
• Strengthening network of promoters 
• Vendor/Partners Empanelment
• Logistics and Collaterals
• Success of the campaigns
• Process improvement and streamlining
• GST Compliance and reconciliation
• For Client - Media, Financial, Rate Benchmarking, Competition
• Functional Audits as and when required by Management
• Regional reporting
• Network tracker
• Collaterals Tracker
• Partners Tracker

Requirements:

• Graduate
• 0-2 years of experience BTL marketing is a must
• Self Motivated, Passionate, and a never give up attitude
• Team player
• Fair at communication and expression
• Willing to learn not only operations but also marketing and the other functions
• Two wheeler driving and license is an added advantage

Responsibilities & Qualifications-

• Proven graphic designing experience of 8 to 10 years
• A bachelor’s degree in graphic design, design, or art preferred
• A strong eye for visual composition, typography & colour for print media (reports, infographics, brochures, flyers)
• Ability to conceptualise and design graphics for reports, collaterals, and social media campaigns
• Possession of creative flair, versatility, with experience in conceptual and design thinking
• Ability to work with a wide range of media from design to graphics
• Proficiency in desktop publishing tools: Corel Draw and/or Adobe Creative Suite (Photoshop, InDesign, Illustrator and After Effects).
• Effective time management skills and the ability to meet tight deadlines
• Experience of liaising with printers, knowledge about printing production and techniques
• A team player
• A strong portfolio (in PDF format) is a MUST