Engineering in India

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Technical Services Engineer for Portworx® by Everpure™, you will empower innovators and enterprise customers to seamlessly deploy and scale multi-cloud data services for Kubernetes and containerized applications. In this high-impact role, you will redefine the cloud-native storage experience by bridging deep technical expertise with direct customer engagement. You will serve as a technical expert across all deployment phases, partnering closely with customer engineers, account teams, and core R&D to solve complex cloud-native architecture challenges. WHAT YOU'LL DO Drive Enterprise Customer Success: Deliver end-to-end technical expertise across all stages of Portworx® deployment and production environments, ensuring rapid issue resolution, minimal downtime, and maximum platform reliability for key enterprise accounts. Perform Complex Problem Diagnosis & Triage: Analyze application workflows, system logs, and containerized workloads across public/private cloud stacks to isolate, reproduce, and resolve multi-layer technical issues alongside engineering teams. Enable Pre-Sales and Onboarding: Partner with field systems engineers to guide technical installation, integration, and proof-of-concept (POC) execution for prospective and onboarding enterprise clients. Scale Organizational Knowledge: Author and maintain high-impact knowledge base articles, technical documentation, and FAQ guides to build self-ser

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an SAP SAC Consultant at Everpure, you will spearhead the modernization of enterprise analytics, planning, and reporting capabilities within our global Finance Systems ecosystem. Partnering closely with FP&A, Accounting, Data Engineering, and IT teams, you will architect and optimize scalable corporate financial models utilizing SAP Analytics Cloud (SAC) and SAP Datasphere. By delivering actionable executive dashboards, predictive forecasting frameworks, and unified data streams, you will directly empower leadership with trusted insights to accelerate business outcomes. WHAT YOU'LL DO Enterprise Planning Model Architecture: Own the design, build, and continuous optimization of SAP Analytics Cloud (SAC) Planning models for corporate budgeting, rolling forecasts, and complex what-if scenario planning to maximize global financial predictability. Design and optimize semantic models, dimensions, hierarchies, calculations, and KPIs to ensure consistent and trusted enterprise reporting. Executive Analytics & Dashboards: Develop and scale high-impact executive dashboards, KPI scorecards, and automated financial reports. Design and optimize semantic models, dimensions, hierarchies, calculations, and KPIs to ensure consistent and trusted enterprise reporting. transforming raw data into intuitive self-service intelligence. Develop reporting solutions supporting General Ledger (GL), Accounts Payable (A

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As the Escalation Manager, Weekend Global Coverage, you will serve as the crucial command lead safeguarding customer trust during high-stakes, critical events across AMER, APJ, and EMEA . Operating within our global follow-the-sun coverage model, you are the decisive voice when a Sev1 or critical customer event occurs, rapidly uniting engineering, support, and executive leadership to stabilize complex enterprise scenarios. This high-impact role sets the standard for weekend operational excellence, turning chaotic technical crises into clear, swift paths to resolution and ensuring seamless cross-regional transitions . WHAT YOU'LL DO Command Critical Escalations: Serve as the accountable incident commander for major customer escalations (CIEs/Sev1s) during the weekend US coverage window, establishing clear decision rights, working cadences, and swift mitigation strategies . Unify Cross-Functional Teams: Mobilize and align Support, Escalations Engineering, Service Delivery, and Account teams to ensure technical responders have immediate context and unblocked paths to restore customer environments . Lead Executive & Customer Communications: Translate fast-moving, complex technical diagnostic details into precise, highly coherent updates for executive leadership and global enterprise customers, keeping stakeholders continuously aligned . Drive Global Follow-the-Sun Handovers: Execute complete, high-quality shift ha

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. The Role We are seeking a strategic Senior Analyst - Data & Analytics to champion our people analytics function and shape data-driven talent decisions. This is a high-impact, hands-on role where you will design, build, and deploy AI-augmented analytics products that drive workforce effectiveness and organizational performance. You bring deep HR domain fluency, a flair for compelling data storytelling, and proven experience turning complex workforce data into strategies that senior leaders actually act on. You will be a key partner to HRIS, IT, and global business leaders — sitting at the intersection of data engineering, business insight, and AI-powered tooling. What You'll Do Lead the full lifecycle of people analytics projects — from gathering stakeholder requirements to delivering scalable, validated, and actionable insights that guide business and talent strategy. Design, build, and deploy executive-ready analytics dashboards by leveraging AI and GenAI tools (including Claude) to rapidly prototype and implement custom web-based solutions — delivering intelligent, self-serve analytics experiences without the constraints of traditional BI platforms. Explore, prototype, and deploy AI powered analytics solutions to support workforce planning, attrition prediction, and people insights at scale. Partner with HRIS, IT, and business leaders to drive data integrity, governance, and seamless integration across core HR system

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an SAP SCM Analyst at Everpure, you will drive the operational precision of our global demand planning and Sales & Operations Planning (S&OP) cycles using SAP IBP Demand Planning. Partnering closely with the Plan to Forecast Lead and global commercial planners, you will transform historical sales data and market inputs into high-quality baseline statistical forecasts. Your meticulous oversight of forecasting models and supply chain data directly minimizes forecast error and optimizes global inventory readiness. By ensuring an accurate demand signal, you empower Everpure to seamlessly meet customer requirements worldwide. WHAT YOU'LL DO Statistical Forecast Engineering: Own the generation and continuous refinement of baseline statistical forecasts within SAP IBP, leveraging data-driven inputs to establish a highly reliable predictive foundation for our monthly commercial planning cycles. Forecast Performance Tracking: Execute and analyze critical forecast error metrics (including MAPE, WMAPE, and bias) to isolate structural variances, enabling cross-functional teams to pinpoint root causes and continuously improve plan attainment. Master Data & View Architecture Maintenance: Govern demand planning master data integrity across product hierarchies, location assignments, and planning segments, utilizing SAP IBP Fiori interfaces and Excel Add-ins to keep configuration maps completely synchronized

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Senior Technical Architect on our Advanced Services team, you will bridge pre-sales strategy and post-sales delivery to architect enterprise data migration, disaster recovery, and hybrid-cloud storage solutions. In this dual consultative and hands-on role, you will collaborate closely with Sales, Engineering, and enterprise customers to translate complex business needs into resilient, automated IT infrastructure. You will drive revenue growth and project success by serving as the trusted technical authority across high-impact data center transformations. WHAT YOU'LL DO Architect & Scope High-Impact Solutions: Partner with Sales, Product Marketing, and customer leadership to evaluate complex enterprise environments, design high-availability storage architectures (replication, clustering, cloud integration), and scope Professional Services engagements that drive sales conversion and solution adoption. Lead Enterprise Data Migrations & Implementations: Own end-to-end technical execution of complex data center consolidations and block/file migrations using specialized appliances (e.g., Cirrus Data) and native toolsets, ensuring seamless cutovers with zero data loss and minimal operational disruption. Automate & Modernize Storage Operations: Develop custom scripts (Python, PowerShell, Shell) and integration workflows to automate replication, disaster recovery, and cloud-bursting processes within client

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Technical Services Engineer Representative at Everpure, you will work on problems of diverse scope where analysis will include hardware, software, and environmental factors within our Product lines. Our Support Engineers utilize their deep technical expertise to troubleshoot customer issues and resolve them. Ability to perform implementation work such as Software and Hardware upgrades and RMA dispatch. Our culture is built on Persistence, Creativity, Teamwork, Ownership, and Customer First. You will be expected to live these values every day while collaborating closely with peers across Support, Engineering, and the field. WHAT YOU'LL DO Own, troubleshoot, and resolve customer technical issues across all severity levels using collaboration and troubleshooting best practices. Proactively understand customer requirements and expectations to deliver effective solutions. Communicate with customers in a clear, concise, and professional manner across all interactions. Create and maintain knowledge base (KB) articles and FAQs for both internal and customer facing use. Manage multiple support cases and priorities simultaneously in a fast paced environment. Act as a customer advocate by driving issues internally and representing the company externally. Collaborate within a team environment, contributing to shared goals while continuously learning and growing. Participate in weekend, public holiday, and on call s

We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. At MX, reliability is a product. Our infrastructure powers financial applications used by millions of people and processes billions of transactions for major financial institutions, and customers feel every second of downtime. We're building a new observability function that runs the way we run incident response: the system does the heavy lifting, and people handle judgment, customers, and the exceptions. As a Senior Observability Engineer, you build and operate an observability control plane. You scaffold baselines, score coverage, and turn every real incident into the detection the platform should have caught. This is a multiplier role: you raise the bar for every team through standards and automation instead of building each team's dashboards by hand. We call it the shepherd model. You shepherd Datadog and partner with our product engineering teams so they observe the right signals for their products. Service owners get real signal instead of noise, and leadership gets coverage and health as a program metric. This role shares the team pager. Observability and incident response run one on-call roster. You take shifts with the rest of the team and act as Incident Commander when an incident needs one. It is core to the role, not an afterthought. Engineering at MX runs hybrid infrastructure (AWS and bare metal) with services in Ruby, Go, and Java, messaging over NATS and RabbitMQ, and data on PostgreSQL an

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. Why Globalisation Excellence (GE) Zinnov's Globalisation Excellence (GE) practice helps enterprises build and scale Global Capability Centers (GCCs) end-to-end—from Design & Discovery to Build, Scale, and Run. In GE, you don't work in silos. You: Own complex, end-to-end client journeys Work across GCC advisory, managed services, and BOT / outsourcing models Influence leadership decisions that shape long-term talent and operating strategies This is where strategy meets execution—and where talent plays a defining role. About the Role As Lead - Talent Acquisition , you'll play a critical role in building world-class engineering teams for global organizations. This role goes beyond filling positions—it's about driving talent strategy, building strong technical pipelines, and acting as a trusted ad

XO Health believes healthcare is fixable. Become part of the community changing the face of the industry. XO Health is the first health plan designed by and for self-insured employers that delivers a more unified health experience for everyone – from those who receive care, to those who deliver it, to those who pay for it. We are growing a multi-disciplinary team of diverse and digitally empowered employees ready to rebuild trust in healthcare through comprehensive and unified transformation. XO Health Product Manager, Claims - India (Remote) About the Role : XO Health believes healthcare is fixable. Become a part of the community changing the face of the industry. XO Health is the first health plan designed by and for self-insured employers that delivers a more unified health experience for everyone, from those who receive care, to those who deliver it, to those who pay for it. We are growing a multi-disciplinary team of diverse and digitally empowered employees ready to rebuild trust in healthcare through comprehensive and unified transformation. XO Health is building its own claims processing platform to power a new generation of claims adjudication, pricing, and payment. The Product Manager for Claims will own the product vision and strategy for this build, translating complex claims operations, EDI, and payer requirements into a clear roadmap the technical team can execute against. This role sits at the intersection of the business and engineering. The Product Manager will partner closely with Claims Operations, EDI, Network, and Compliance stakeholders to understand real-world claims workflows, translate that knowledge into detailed, clear business requirements, and serve as the primary liaison between the business and the technical build team throughout design, development, testing, and launch. This position requires strong product management fundamentals, deep curiosity about claims and healthcare operations, and the judgment to set realistic timeline goals

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Own the Identity and Access Management product roadmap and deliver enterprise-grade authentication features that secure every connection between Appian and the enterprise. ABOUT THE TEAM The IAM Product team is on a mission to secure every identity, authentication flow, and access point that connects Appian to the enterprise. This team operates with high autonomy and directly influences how global enterprises trust and deploy AI-Powered Process Automation at scale. Your work will define how millions of users authenticate securely across mission-critical workflows. THE OPPORTUNITY As enterprises accelerate digital transformation, identity security has become the frontline of platform trust. This role exists because Appian is scaling its authentication and authorization capabilities to meet zero trust demands from the world's most security-conscious organizations. You will shape how the platform handles federated identity, modern protocols, and seamless user experiences in highly regulated environments. WHAT YOU'LL DO Lead the end-to-end IAM product roadmap, defining priorities that balance enterprise security requirements with developer and end-user experience Partner with Engineering to evaluate, design, and enhance authentication and authorization capabilities including native authentication and support for SAML, OIDC, OAuth 2.0, SCIM, and federated identity frameworks Execute discovery and requirements gathering with enterprise customers to understand identity provider integrations, compliance needs, and zero trust adoption patterns

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Roles & Responsibilities Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. Understand Business & product problems and come up with deep data backed solutions. Root cause analysis and Deep dive analysis of certain product problems Running and maintaining the reporting system, presenting insights at a weekly forum Building templates, dashboards in Power BI, Gsheets for operational and management reporting Data extraction as per business request for Ad hoc analysis Business analysis and understanding Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of product performance Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing Desired Skills and Experience: 3 - 5 years working with large data sets and conducting quantitative analysis Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions). Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R/Python Previous experience with working on ecommerce funnels, retention Ability to think through product and business metrics to assess product features Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on Power BI using best practices and intuitive Qualifications Bachelor’s in engineering, Computer Science, Economics, Statistics, or related discipline from a reputed institute ...........................