Data Center Controls Network Engineer in India

As a Senior NetSuite Consultant at Plative, you will act as a Subject Matter Expert for our growing Field Service Management (FSM) and Manufacturing practice. This is a high-impact, client-facing role designed for a "Consultative Leader," someone who doesn't just apply configurations but actively challenges and advises clients on best practices in logistics and warehouse operations. You will own the project lifecycle from discovery and design, to configuration and UAT. Leading complex FSM implementations and ensuring that complex business processes are translated into scalable NetSuite solutions. Responsibilities: Lead client discovery sessions to map manufacturing and distribution business requirements to NetSuite best practice. Manage and deliver complex NetSuite implementation projects, including solution design and project management. Identify and communicate project limitations, shortcomings, and issues early on, working closely with senior consultants and architects to address and mitigate risks. Execute end-to-end configuration, including complex business logic, custom fields, and workflows. Act as a subject matter expert for manufacturing processes (e.g., Shop Floor, Control, BOM management), distribution workflows (e.g., Pick/Pack/Ship, Demand Planning). Act as a subject matter expert on NetSuite Field Service Management (FSM), designing automated preventive maintenance schedules, warranty tracking workflows, and smart dispatching boards. Guide clients on industry-leading practices for cost accounting, landed costs, preventive maintenance, WIP & Routing, Demand Planning and inventory valuation. Design and lead internal QA and guide client User Acceptance Testing (UAT) to validate system stability and data integrity. Delegate tasks to analysts and guide their development to ensure high-quality project deliverables. Proactively identify and mitigate project risks related to scope, budget, or technical constraints with the project management team. Raise de

Position Overview The Senior Analyst – Sales Operations will serve as a strategic operational partner responsible for translating sales incentive commission plans into robust back-end data processes and converting complex business requirements into data-backed executive insights. This role requires an analytical professional who combines hands-on expertise in Google Sheets, Advanced Excel, Salesforce CRM, data wrangling, pipeline analysis, and CRM hygiene with an AI-forward mindset to streamline cross-functional operations. Key Responsibilities Commissions & Incentive Management: Thoroughly understand business commission plans and architect back-end processes, automated workflows, and data models to accurately capture required inputs, run monthly/quarterly calculations, execute timely plan rollouts, and resolve participant queries with complete transparency. Business Requirements & Strategic Reporting: Deconstruct complex business requirements into structured analytical frameworks. Build, set up, and maintain reports and dynamic dashboards that drive data-backed decision-making across key commercial initiatives, including pipeline health analysis, revenue trends, and Salesforce CRM data hygiene projects. Data Wrangling & Spreadsheet Modeling: Perform hands-on data manipulation, cleansing, and complex performance/commission modeling using Google Sheets, Advanced Excel and to bridge upstream source data with compensation and reporting systems. Salesforce CRM & Reporting: Design, build, and maintain robust Salesforce reports, analytics dashboards, and operational tracking tools to provide key performance visibility to executive leadership. Process Optimization: Evaluate end-to-end sales and operational workflows, pinpoint operational friction, and propose scalable solutions to streamline business processes. Cross-Functional Stakeholder Management: Serve as a trusted advisor and liaison across Sales, Account Management, Finance, and Business Intelligence

Role Purpose: At Jumio, you will work for one of the market leaders in the global identity verification space that is helping to make the digital world a safer place for everyone. As a Software Development Engineer in the MLOpsTeam, you will develop the blueprint for highly scalable and performant ML model serving. Role Value: As a Software Engineer (SDE III), you will drive the continuous improvement of the infrastructure and applications to manage the lifecycle of ML assets (data, models) to better developer experience and strengthen governance capabilities. Secondly, you will design and implement robust ML infrastructure for model deployment, serving, and optimization. You will work on efficient CI/CD pipelines for ML models and leverage advanced compilers or hardware optimization to maximize inference performance while optimizing costs. We welcome you to challenge us to impact our software development processes and tools. Example Responsibilities: Upgrade ML assets (models, data) management systems for better developer experience and robust governance capabilities Build and optimize model serving infrastructure with a focus on inference latency and cost optimization Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options Implement cost-efficient, enterprise-scale solutions Collaborate in a cross-functional, distributed team for continuous system improvement Work with MLEs, QA Engineers, and DevOps Engineers Evaluate and implement new technologies and tools Contribute to architectural decisions for distributed ML systems Experience and Qualifications : 5+ years of experience in software engineering with Python Experience with model lifecycle management (MLFlow, Weights & Biases or equivalent) Experience with data management ecosystem (quality, transformation, catalog) Experience with ML frameworks, particularly PyTorch Experience optimizing ML models with hardwar

Required Skills: Core Java: Strong understanding of Java SE, including OOP concepts, data structures, and algorithms. Frameworks: Experience with popular Java frameworks such as Spring and Hibernate. Web Technologies: Knowledge of web technologies including JSP, Servlets, HTML, CSS, and JavaScript. Database Management: Proficiency in working with relational databases like MySQL, PostgreSQL, or Oracle, including SQL queries and optimization. Version Control: Experience with version control systems like Git, including branching, merging, and pull requests. Build Tools: Familiarity with build tools like Maven or Gradle. RESTful Services: Ability to design and consume RESTful web services and APIs. Testing: Experience with unit testing frameworks like JUnit or TestNG. Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex issues. Preferred Skills: Spring Boot: Experience with Spring Boot for creating microservices. ORM: Proficiency with Object-Relational Mapping (ORM) tools like Hibernate or JPA. Frontend Technologies: Basic knowledge of frontend frameworks like Angular, React, or Vue.js. Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Continuous Integration/Deployment (CI/CD): Familiarity with CI/CD tools such as Jenkins or GitLab CI. Microservices Architecture: Understanding of microservices architecture and containerization with Docker. Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Experience: 2-4 years of professional experience in Java development. Personal Attributes: Team Player: Ability to work collaboratively in a team environment. Communication: Strong verbal and written communication skills. Attention to Detail: High attention to detail and a commitment to delivering high-quality software. Adaptability: Ability to adapt to new technologies and changing requirements.

Technical Skills: Java Programming: Solid understanding of core Java concepts such as OOP (Object-Oriented Programming), data structures, exception handling, multithreading, and collections. Java Frameworks: Basic experience with popular Java frameworks like Spring and Hibernate. Familiarity with Spring Boot for developing microservices is a plus. Web Technologies: Basic knowledge of web development technologies including HTML, CSS, and JavaScript. Exposure to frontend frameworks like Angular or React is advantageous. Databases: Understanding of relational database concepts and basic SQL. Experience with databases such as MySQL or PostgreSQL. Version Control: Familiarity with Git and basic version control concepts, such as branching and merging. Build Tools: Experience with build tools like Maven or Gradle for project management and dependencies. Integrated Development Environment (IDE): Proficiency in using IDEs like IntelliJ IDEA, Eclipse, or NetBeans for Java development. RESTful Web Services: Basic understanding of RESTful services and APIs. Experience in creating simple RESTful APIs is beneficial. Testing: Exposure to unit testing frameworks like JUnit or TestNG. Understanding of basic test-driven development (TDD) practices. Agile Methodology: Basic understanding of Agile software development practices, including working within a team using Scrum or Kanban. Soft Skills: Problem-Solving: Ability to analyze problems and develop logical solutions, with a willingness to learn and adapt to new challenges. Communication: Good verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Team Collaboration: Experience working in a team environment, contributing to collaborative projects, and participating in code reviews. Time Management: Ability to manage time effectively, prioritize tasks, and meet deadlines. Attention to Detail: Strong attention to detail, ensuring code quality and

Technical Skills: Java Programming: Solid understanding of core Java concepts such as OOP (Object-Oriented Programming), data structures, exception handling, multithreading, and collections. Java Frameworks: Basic experience with popular Java frameworks like Spring and Hibernate. Familiarity with Spring Boot for developing microservices is a plus. Web Technologies: Basic knowledge of web development technologies including HTML, CSS, and JavaScript. Exposure to frontend frameworks like Angular or React is advantageous. Databases: Understanding of relational database concepts and basic SQL. Experience with databases such as MySQL or PostgreSQL. Version Control: Familiarity with Git and basic version control concepts, such as branching and merging. Build Tools: Experience with build tools like Maven or Gradle for project management and dependencies. Integrated Development Environment (IDE): Proficiency in using IDEs like IntelliJ IDEA, Eclipse, or NetBeans for Java development. RESTful Web Services: Basic understanding of RESTful services and APIs. Experience in creating simple RESTful APIs is beneficial. Testing: Exposure to unit testing frameworks like JUnit or TestNG. Understanding of basic test-driven development (TDD) practices. Agile Methodology: Basic understanding of Agile software development practices, including working within a team using Scrum or Kanban. Soft Skills: Problem-Solving: Ability to analyze problems and develop logical solutions, with a willingness to learn and adapt to new challenges. Communication: Good verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Team Collaboration: Experience working in a team environment, contributing to collaborative projects, and participating in code reviews. Time Management: Ability to manage time effectively, prioritize tasks, and meet deadlines. Attention to Detail: Strong attention to detail, ensuring code quality and

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

About Team: Financial Planning and Analysis” (FP&A) team works closely with the CFO, FP&A head, and all the other functions to enable and improve data-driven decision-making. The team enables financial planning, and allocation of funds, and uses structured problem-solving approaches along with a wide range of statistical / operations research techniques to create productized solutions for business teams to consume. Role: We are seeking to hire a talented Finance Professional for the FP&A team. This role offers a wide spectrum of responsibilities spanning from Financial and strategic planning, dynamic resource allocation framework for growth and P&L sustainability, driving efficiency charters across the P&L line items, performance management, business analytics and benchmarking with external companies. Responsibilities: Prepare monthly, quarterly and annual financial plans to be executed. Hold guardrails for investment to maximize topline growth Develop financial model for planning, budgeting, variance analysis and performance management Strategic Planning, AOP and LRP creation with thorough and detailed how-lists for topline and P&L line items Lead the MEC process with stakeholders from Business Finance and Controllership. Action upon the key risks and opportunities with agility Identify opportunities for efficiencies across the org and partner with respective teams to develop action plan to maximize the returns on investment for topline growth as well as cost optimization Leverage SQL to extract and manipulate financial data for analysis, Create and maintain dashboards and reports using SQL based tools Handle complex ad hoc request with a shorter turnaround time and supplement such request with appropriate analysis and insights for enabling business decision-making Assessment and dissemination of impact on business due to macro trends, benchmarking with national and international peer companies to identify the

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines