Platform Architecture Manager 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 You will join the Portworx team in Everpure, which is responsible for delivering the highest quality Portworx Enterprise products. You will be contributing clean & robust code, be customer oriented and put quality first.A WHAT YOU'LL DO Designing and developing cloud native microservices and integrating new features to Portworx products Bringing a focus on design, development, unit/functional testing, code reviews, documentation, continuous integration and continuous deployment Debug product and performance issues in large scale clusters using AI tooling Collaborating with peers and stake-holders to take solutions from initial design to production Take full ownership of design and development activity by adapting to customer feedback and handling issues found in unit testing, system testing and customer deployments Experimenting with new technologies in order to push the state-of-the-art and innovate new solutions. We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING BS in Computer Science 7+ years of experience in Designing, Development and Testing of Enterprise products (Golang preferred). Good understanding of Microservice Architectures and Cloud Native platforms Designing and owning micro services to operate and scale in a di

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 Join the Pure Solutions team as a Senior MLOps Solutions Engineer to architect and build high-scale, enterprise-grade AI/ML solutions. You will be instrumental in integrating Pure Storage platforms with the evolving open-source MLOps ecosystem (Kubeflow, MLflow, Ray) to operationalize the complete machine learning lifecycle. This role requires a creative technologist with deep Python expertise to drive innovation and enable our customers and partners to achieve production AI success. WHAT YOU'LL DO Design and Automate MLOps Pipelines: Lead the development of end-to-end MLOps workflows using CI/CD tools (Git/Jenkins) and orchestration platforms (MLflow/Kubeflow), specifically integrating Pure Storage's FlashBlade, FlashArray, and Portworx as the high-performance data plane for data ingestion, training, and inference. Build High-Performance AI/ML Reference Architectures: Create validated, repeatable deployment models using Infrastructure as Code (e.g., Ansible, Terraform) for AI/ML environments spanning bare metal, virtual machines, and GPU-accelerated Kubernetes clusters, ensuring optimal performance for distributed training. Optimize and Operationalize GPU Inference: Architect and implement solutions for high-throughput, low-latency model serving, utilizing technologies like NVIDIA Triton Inference Server and advanced optimization techniques (quantization, model sharding like DeepSpeed/Megatron-LM, and dynamic bat

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. In this role, you will: Collaborate with the sales leadership to understand customer requirements and enable technical solutions deployment based on customer needs. Develop an in-depth understanding of Ema’s technology and underlying architectures Deliver compelling product demonstrations tailored to the specific needs of potential customers, showcasing key features and benefits. Work closely with customers to execute successful PoCs, demonstrating the feasibility and value of Ema in their environment. Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes. Collaborate with customers to design and architect solutions that align with their business goals, ensuring seamless integration with existing systems. Drive project teams towards common goals of accelerating the adoption of Ema’s solutions. Demonstrate and communicate the value of Ema’s solution throughout the engagement, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders. Help take Ema’s solution from POC to production. Understand customers cloud/on-prem environment and their unique needs f

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are You are an experienced Infrastructure Engineer Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning

Role Overview Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies. You’ll contribute to solutions from design through production, helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, contributing to monitoring, troubleshooting, documentation, and continuous improvement. Partner with engineers and cross-functional colleagues through design discussions, code reviews, technical problem-solving, and knowledge sharing. These are the essentials you’ll need to get an interview 3–5 years of professional experience building and delivering production software in an agile environment. Strong hands-on experience with Python and backend development, including APIs, integrations, or service-oriented applications. Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. Working knowledge of software design principles, testing, debugging, performance optimization, an

Role Overview Build reliable software services that power products, platforms, and business decisions. As a Senior Software Developer, you’ll design and deliver scalable applications, backend services, and integrations that perform well in production and evolve with changing business needs. You’ll apply strong software engineering practices across APIs, data-intensive applications, cloud services, AI-enabled solutions, and deployment pipelines. You’ll help shape technical solutions, improve system reliability, and contribute to a high-quality engineering culture. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and develop scalable backend services and applications using Python or TypeScript. Lead the development of APIs, integrations, reusable software components, and AI-enabled features. Build reliable solutions for data ingestion, manipulation, service-to-service communication, and intelligent automation. Apply AI technologies and modern software engineering practices to improve product capabilities, developer productivity, and operational efficiency. Make sound technical decisions around architecture, performance, security, scalability, and maintainability. Deploy and operate applications using AWS services and CI/CD practices while improving testing, monitoring, documentation, and delivery standards. These are the essentials you’ll need to get an interview 5+ years of professional experience developing and delivering production software. Strong hands-on experience with Python; TypeScript or similar languages is also valuable. Proven experience building backend services, APIs, integrations, and service-oriented applications. Experience applying AI technologies, such as generative AI, machine learning services, intelligent automation, or AI-enabled application features. Strong understanding of software design principles, testing, debugging, performance optimization, and secure development. Experience working with cloud platfor

About the Role At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Customer Engineer, you own the technical customer relationship end to end. You run discovery independently, design integration and agentic workflow architectures for complex enterprise problems, and deploy solutions live with customers — often before they know exactly how to articulate what they need. You write optimized, production-grade code at speed, grounded in strong data structures and algorithms fundamentals, because compressing the time from customer problem to working solution is how FDE delivers its value. You bring genuine innovation to hard problems — your solutions are technically sound, elegant, and often non-obvious. You are the primary technical contact for 2–4 major enterprise accounts, you mentor FDEs on the team, and you are building the skills that will take you into Staff-level technical leadership. What You'll Do Own complex integration and AI agent implementations end-to-end — from technical discovery through go-live and post-launch enhancement — as the primary technical contact for 2–4 enterprise accounts Design integration architectures with explicit attention to error handling, retry logic, observability, failure recovery, and multi-system authentication Design and deploy agentic AI workflows that orchestrate supply chain operations — from requirements through production, including regression testing and validation before each customer deployment Deploy AI agent workflows live with customers present — configuring and troubleshooting in the room during customer calls, not gathering requirements to build later Run customer discovery

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are looking for a Software Engineer, Platform & Integrations . Working closely with senior and lead engineers, you will design, develop, and maintain high-quality features that power enterprise data exchange for more than 1,000 customers worldwide. This is an incredible opportunity to deepen your expertise in cloud-native architectures, enterprise security, and modern DevOps practices in a fast-growing product environment. Feature Development & Design: Write clean, maintainable, and well-tested code using Java and Spring Boot to deliver scalable backend services and microservices. Platform Reliability: Contribute to enhancing the monitoring, logging, and observability of our core platform to ensure high availability and performance. Security & Compliance: Implement secure coding practices to safeguard data exchange and maintain compliance across our cloud infrastructure. Collaborative Execution: Work within an agile team, collaborating closely with QA, Product, and fellow engineers to deliver high-qual

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! Every major NVIDIA silicon product family—from the chips powering AI and datacentre systems to gaming, professional, embedded, and automotive platforms—passes through our productization work on its way to production. NVIDIA’s Silicon Co-Design Productization team works from pre-silicon strategy and feature development through bring-up, characterization, correlation, and optimization. Our charter spans power & performance modelling, bring up & tuning of low-power features, power & thermal controllers , and system-level optimization that ultimately shape how NVIDIA products are configured, binned, specified, and shipped. What you'll be doing Drive silicon power productization from pre-silicon planning through bring-up and production, including test strategy, feature readiness, characterization, and optimization. Partner with architecture and design teams to identify improvements, validate features, and help translate them into production-ready solutions. Correlate measured silicon behaviour with pre-silicon expectations, investigate gaps, and drive complex issues to root cause. Build power and performance models and characterization methodologies that decide silicon binning, product specifications, productization decisions, and customer guidance. Use AI/ML and data-driven methods to analyse characterization & telemetry data, identify anomalies & trends , and accelerate issue debug across silicon, board, power delivery, firmware,

We are seeking a qualified Senior Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and carry out automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuo

We are seeking a qualified Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and implement automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuously im

Generative AI Architect Strong expertise in GenAI frameworks (OpenAI, Azure OpenAI, LangChain, LangGraph, Copilot Studio) and AI platforms. Key Responsibilities Design and deliver end-to-end Generative AI and Agentic AI architectures for enterprise clients. Lead technical implementation using Azure OpenAI, LangGraph, or Copilot Studio. Build reusable frameworks, prompt orchestration patterns, and RAG pipelines. Ensure compliance with security, privacy, and Responsible AI standards. Drive AI observability, cost optimization, and performance tuning. Collaborate with data, cloud, and business teams to identify AI use cases. Mentor engineers and contribute to practice accelerators and reference solutions. Support presales, client demos, and proposal development with architecture inputs.

Data & AI Lead will enable data driven decision making, advanced analytics, and AI led value creation across the organization by transforming raw data into trusted insights, predictive intelligence, and scalable AI solutions. The primary purpose of this role is to design, build, deploy, and govern data platforms, analytics, machine learning, computer vision, operations research and generative AI capabilities that directly support business strategy, operational excellence, and innovation. By working closely with business leaders, Business Technology, Software Engineering, Architecture, IT, and Cybersecurity teams, Data & AI role translate business problems into analytical and AI use cases, develop scalable and responsible AI solutions, and ensure adoption through explainability, trust, and governance. This role plays a critical role in institutionalizing data driven culture, embedding AI into core processes, and enabling faster, better, and more consistent decisions at scale. Source: Adani Group | Job ID: 52726

This role can be based remotely in India. Position Summary We are seeking an exceptional Principal Technologist to join our team in India. This pivotal role will work closely with our account teams to engage with C-suite executives and senior technical leaders at MongoDB’s most strategic customers. You will bridge the gap between complex data architectures and AI to power business transformation, positioning MongoDB as the premier platform for modernizing legacy systems and building next-generation AI applications. As a recognized technical thought leader, you will shape industry perspectives through regular activities including high-impact technical evangelism and thought leadership, executive roundtables, presentations delivered to customers, keynotes at MongoDB and industry events, and regularly briefing tier-1 press, media, and analysts as a credible and trusted company spokesperson. Qualifications 10+ years of experience in customer and market-facing roles at the principal or Field CTO level Recognized technical leader with deep hands-on experience with enterprise-scale applications Influence & Scalability: Demonstrated success in scaling your technical influence and earned credibility. Experience speaking at major tech conferences, hosting technical webinars, or contributing deeply to the developer community (via technical blogs, open-source contributions, or whitepapers) is highly desired Deep portfolio and history of published content, presentations at events, interviews or quotes in the the press and media Executive Presence: Exceptional ability to command a room with credibility, deliver compelling keynote presentations, and influence technology strategies with a CxO audience Strong understanding of database architectures, distributed systems, and cloud computing concepts, with experience in distributed systems design, including scalability, fault tolerance, and consistency models Familiarity with modern application development frameworks and han