Customer Success Associate

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in GCP cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

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.

About Position We are seeking an experienced, senior IT professional in the capacity of Senior Business Intelligence Analyst within the Data Products team. Analysts will lead efforts to concisely and accurately capture, synthesize and analyze requirements, evaluate options to leverage existing technology investments, assist with evaluation and selection of new technologies, identify alignment opportunities and work with change agents, developers and testers to ensure projects achieve their objectives. The role requires close collaboration between business leaders and Data Engineers aligned to each of our Value Streams/ Business Domains across (Marketing, Manufacturing, Design & Engineering etc). Qualification: • Bachelor’s degree or experience in Computer Engineering, Computer Science, Information Systems, Data Science, or a related digital, analytical, or IT field. • Hold 5 to 8 years of professional experience. • Strong problem-solving and analytical skills. • Excellent communication and collaboration skills. • Ability to manage time effectively and prioritize tasks to meet deadlines. Responsibilities: • Collaborate with Business Domain/ Value Stream aligned Data Product Managers and identify opportunities to provide business intelligence, strategy and planning services to business stakeholders, determine the best approach for engagement and deliverables and gain commitment from stakeholders to proceed. • Work with business users to understand their use cases, functions and processes and help them define business intelligence, analytics and reporting requirements. • Design and develop user friendly and interactive dashboards to support business decision makers in making informed choices. • Develop and modify reports, verify information integrity and design BI dashboards, scorecards, charts/ graphs, drilldowns, and dynamic reports to meet product definitions. • Work with business units and functional partners to identify, prioritize, clearly define and document analytical needs, while maintaining perspective on the ultimate KPIs of the organization. • Collect, aggregate and analyze quantitative and qualitative data to drive insights on system performance. • Advise the Data Engineering and BI development team on the translation of business requirements into technical specifications. • Support the roll out of new BI products and provide end user training on the usage of dashboards and reports. • Regularly present and share findings with stakeholders to evangelize Business Intelligence tools and strategies. • Help to ensure that there is a continuous feedback loop which will drive user experience improvements and user adoption of BI tools. • Provide a mechanism for reporting the success or failure of a product against its value proposition. • Ensure design and branding consistency across various data visualization solutions, dashboards and reports. • Promote reuse of solutions or solution components through good documentation and design solutions. • Contribute to the ongoing maturity of the Data Product Teams operating model, methods and deliverables. • Perform detailed data analysis for assets in Databricks and evaluate them for quality and completeness for building data products. • Perform SQL-based data extraction, data validation, and data analysis. • Collaborate with Data Modeling and Power BI teams to design and deliver scalable reporting and analytics solutions. • Write user stories and define acceptance criteria to support Agile development of business requirements in Azure Dev Ops. • Work on a variety of initiatives related to Data Democratization operations. • Troubleshoot problems or issues and provide support to the data engineering team. Required Knowledge, Skills, and Abilities: • Experience leading product envisioning sessions and capturing business requirements (identifying operating models, business processes, services, capabilities, etc.) and modeling them in live and interactive sessions. • Ability to interact, influence, and communicate across all organizational levels including business team executives, subject matter experts and technical resources. • Ability to visually summarize multi-dimensional complex data into simple to understand information. • Strong presentation and business story-telling skills with the ability to create dashboards reports. • Technical aptitude with strong logical, problem solving, negotiation and decisionmaking skills. • Ability to map data using disparate data sources such as flat files, databases, XML files and/or unstructured data. • Advanced Excel skills, including V Lookups, pivot tables, charting, formulas, and data manipulation. • Strong analytical and project management skills with demonstrated ability to prioritize track and deliver results. • 5-8 years in IT roles spanning business analysis, business intelligence, strategy, project management and delivery functions. • Experience with the planning, envisioning and facilitation of executive-level strategic or IT planning workshops. • Experience across all layers of system architecture (business, data, information systems, infrastructure) with a focus on Business Intelligence. • Excellent interpersonal skills especially in areas of teamwork, facilitation, influence, and negotiation. • Excellent verbal and written presentation skills, and a high level of competency with Business Intelligence Tools. Preferred Knowledge, Skills, and Abilities: • Experience creating visual dashboards with large and complex datasets using business intelligence tools like Power BI and Tableau. • Experience interpreting data from a business perspective and communicating those insights to nontechnical business partners. • Strong understanding of data governance controls, process and procedures, centers of competency, change management, conceptual data modeling, master data management, data standardization and stewardship, information integrity, compliance and data quality. • Experience with data mining techniques such as scenario modeling, pattern detection, A/B testing, nearest neighbor, cluster analysis, sentiment analysis, decision trees, optimization, simulation, regression analysis, deep learning and other types of analysis. • Experience working in an AGILE environment (SCRUM and Kanban) and practical knowledge of project management. • Strong quantitative, analytical and interpretive skills

About the role:

We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). 

You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem-solving, sophisticated design, and quality products is important.

What you’ll do

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high-quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers
• Version Control: Git
• SDLC: Working experience in Agile methodology
• Strong interpersonal skills and time management skills

What you’ll need

• B.Tech or M.Tech equivalent with at least 2 years of experience
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with newer specifications of EcmaScript
• Experience with data structure libraries (e.g., Immutable.js)
• Familiarity with RESTful APIs
• Ability to understand business requirements and translate them into technical requirements

Key responsibilities:

• Develop features across multiple subsystems within our applications, including collaboration in requirements definition, prototyping, design, coding, testing and deployment
• Understand how our applications operate, are structured, and how customers use them
• Provide engineering support (when necessary) to our technical operations staff when they are building, deploying, configuring and supporting systems for customers
• Participate with the engineering and operations teams to define plans for standardizing, scaling and enhancing our products and the services utilized to deploy/install/release those products
• Participate in interactions with customers as a technical expert for product subsystems
• Investigate, analyze and make recommendations to management regarding technology improvements, upgrades and modifications
• Other duties from time to time as determined by management

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

SaaS (Mandatory)and Java, Spring boot, Azure is good go

Skills Required:

· Strong application development and design experience in highly Scalable enterprise JAVA/J2EE systems.

· Strong experience in complex application design, ability to provide solutions, design Concepts, design patterns.

· Strong understanding of Java best practices, system scalability, and performance tuning.

· Expertise in Spring (MVC, CORE, Boot, JDBC).

· Strong Knowledge of Restful services, XML, JSON are required.

· Having knowledge in Hadoop/Bigdata/ETL/Reporting systems is a plus.

• Responsible for making specialized plans and procedures for different offices and the IT groups, creating answers for the location of any far-reaching issues, and making their procedures progressively effective.
• Providing training to other junior developers and managing them to process tasks efficiently
• Work with various internal offices, including promotions, project improvements, and tasks to ensure that Salesforce status supports internal requirements by identifying usefulness and fulfillment.
• Application development for other peer developers
• Responsible for updating and making changes to already existing applications or making new ones according to client needs.

Responsibilities

• Deliver end to end quality and automation independently using agile methodologies
• Translate deep insight of architecture, product, specifications into a robust test plan covering all aspects of testing including functional, reliancy, performance, load, scalability and security. 
• Evaluate & apply the latest tools, techniques and research insights to drive improvements into a world-class data analytics engine
• Develop robust test automation that is reliable and maintainable and provides accurate assessment of product quality
• Integrate test automation scripts into build system for repeatable execution
• Collaborate with other engineering and customer success functions to simulate customer data and usage patterns  to execute test runs, identify and  fix customer issues and make sure that customers get highly reliable, reliant and optimized Dremio experience 
• Analyze and debug customer issues in customer environments.
• Actively participate in code and design reviews to maintain exceptional quality and deepen your understanding of the system architecture and implementation

Basic Requirements

• B.Tech/M.Tech/Equivalent in Computer Science or a related technical field 
• 8+ years of QA/automation engineering experience on large scale distributed systems
• Deep understanding in Authentication, Single Sign-on and Identity Management systems like AWS IAM, Azure AD, Ping, Okta and Auth0
• Hands on experience in testing Role based Access Control Authorization Model in Cloud and Database Systems
• Proficiency in any of Java/C++/Python/Go and automation frameworks
• Hands on experience in integration of automation using CI/CD tools like Jenkins
• Experience in planning and executing QA/Automation tasks to completion and taking ownership of quality during a set of sprints.
• Experience in designing, implementing, executing and analyzing automated  tests for complex, production system software.
• Experience in analyzing deep product issues and following issue resolution 
• Hands on experience of working projects on AWS, Azure and Google Cloud Platform 
• Understanding of distributed file systems like S3 or ADLS or HDFS and HIVE
• Hands on experience with various Backend/UI automation frameworks and tools

• Ability to create reusable components to automate repeatable, manual activities

• Ability to write technical reports and summary and present to leadership team
• Passion for learning and delivering using latest technologies
• Excellent communication skills and affinity for collaboration and teamwork
• Passion and ability to work in a fast paced and agile development environment.

Preferred Qualification 

• Hands on experience of multi-threaded and asynchronous programming models
• Hands on experience in Data Lake and Catalog systems

Roles and Responsibilities

• Have profound interest in Java technologies.
• Must have accomplished academic projects using Java.
• Understanding of OOD patterns.
• Excellent communication skills written and oral.
• Git or SVN experience/knowledge.
• Proficient in Core Java, JSP, JavaScript, JDBC.
• Knowledge in Frontend technologies ( e.g. Angular, HTML, CSS, Java Script, JSP and JQuery)
• Knowledge in java frameworks - Spring/Spring MVC.
• Knowledge with working with databases MYSQL/SQL.
• Solid understanding of object-oriented principles and programming.
• Familiar with various design and architectural patterns.

Desired Candidate Profile

• Sound knowledge of OOPS concept
• Ability to practice good coding standards in order to enable reusability of code.
• Problem solving & Resilience.
• Timely & Error free Delivery
• Ability to perform R & D with code in order to increase product performance.
• Keen to learn new technologies.
• Self-Motivated Individual.

What We offer:

1. Freedom of Work

• 5 days week
• Flexible Timing.
• No Bond System in any form (Training Agreement, No Blank Cheque Deposit).
• Work from home after Domain and Product Training.

2. Work life Balance

As per the experience of more than 2 decades management of Uffizio always believes that work of software development is creative and requires many efforts hence no developer shall work more than 8 hours a day. So, we prefer 8 hours / day working standard is the normal scenario for software developers.

3.We are open to new ideas

• You can bring new ideas / technologies without any hesitations to the management.
• Once feasibility testing of idea is found okay then company is ready to work on your idea.

4.You will be adding new feather to your crown by getting experience of high-end German Analytics systems development while working with us.

5.WorkShops and Training Activities

6.Compensation

• We don't follow bell curve system.
• We judge people on their capabilities rather than their experience in number of years.
• We offer compensation to our employees based on the values they bring to our organization not based on their tenure.
• We have fair increment system bring values on table and claim your desired increment.