Platform Deployment Management Lead 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 Drive the quality strategy for our innovative enterprise storage platform, ensuring zero-downtime resilience across physical hardware and cloud environments like Cloud Block Store and CloudSnap. In this engineering leadership role, you will scale systems testing, feature interoperability, and test automation for mission-critical global applications. Partnering directly with cross-functional development, support, and escalation teams, you will champion a customer-first quality model. This position elevates overall product reliability while shaping how cutting-edge software resilience is delivered at scale. WHAT YOU'LL DO Define & Execute Quality Strategy: Own end-to-end system test designs with a focus on large-scale feature interoperability to guarantee zero-downtime performance across enterprise and cloud environments. Build High-Impact Automation & Tooling: Design and deploy automated test workflows and triage tooling to accelerate defect detection, drastically reducing execution friction across thousands of automated test suites. Simulate Real-World Customer Workflows: Replicate complex customer deployment architectures to validate real-world fault tolerance and overall resilience against failure domains. Drive Root-Cause Resolution: Partner directly with escalation and support engineering teams to analyze and resolve complex defects, utilizing customer feedback loops to eliminate quality gaps. Lead Agi

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 Drive the mission-critical quality strategy for the industry’s most innovative, high-performance storage array platform. In this pivotal engineering leadership role, you will scale systems testing, feature interoperability, and test automation to ensure zero-downtime resilience for global enterprise applications. Partnering directly with cross-functional development, support, and escalation engineering teams, you will champion a customer-first quality model across physical hardware and cloud-native environments (Cloud Block Store, CloudSnap). This position elevates product reliability and shapes how cutting-edge software resilience is delivered at scale. WHAT YOU'LL DO Define & Execute Quality Strategy: Ownership of end-to-end system test designs, focusing on feature interoperability at scale to guarantee zero-downtime performance across enterprise and cloud environments. Build High-Impact Automation & Tooling: Design and deploy automated test workflows and triage tooling to accelerate defect detection, drastically reducing execution friction across thousands of automated test suites. Real-World Customer Simulation: Replicate complex customer deployment architectures and enterprise application workflows to validate real-world resilience, fault tolerance, and resilience against failure domains. Root-Cause Resolution & Continuous Improvement: Partner directly with escalation and support teams to reproduc

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 You will join the Portworx team, which is responsible for delivering the highest quality Portworx suite of products. You will be contributing to cleanest code, being customer oriented and putting quality first. You will be involved in developing a secured, consistent best-in-class experience for our customers purchasing and using various Portworx offerings- As a developer in the Portworx team, you will be responsible for design and implementing various features and products on the Portworx portfolio. WHAT YOU'LL DO As a developer in the Portworx team, you will be responsible for design and implementing various features and products on the Portworx portfolio. Your responsibilities include: Designing and developing 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 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 E

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

Why This Role Exists Eulerity-GACS is an AI-native marketing automation platform — not a legacy tool with AI bolted on. We serve enterprise brands like Mastercard, UPS Store, Uber Eats, automating digital advertising across thousands of franchise locations. As we scale, we are expanding our India-based Mobile Engineering team to support our rapidly growing client base! We aren't looking for a traditional developer who writes Swift. We want an AI-augmented engineer who treats agentic coding workflows as their primary development tool. At Eulerity-GACS, AI-first development enables us to ship high-impact features to real users at a pace that leaves legacy competitors behind. If you are a senior-level developer who has already restructured your workflow around Claude Code, Copilot, and system prompting to move faster than your peers, we want you on our team. The Fast Facts Location: Remote (India) Schedule: Shifted to ensure close alignment and high-bandwidth collaboration with US EST hours (e.g., approximately 5:30 PM – 2:30 AM IST). Compensation: ₹13-16 LPA (depending on experience) AI Tools: Unlimited. Claude Code, Copilot, whatever makes you sharp — we don't gatekeep tools here. Start Date: Early joiners preferred What You'll Actually Do This is a high-ownership role where you will be building features that real users depend on daily. Develop, test, and maintain our high-quality iOS application using Swift, SwiftUI/UIKit, and AI-first development practices. Agentic coding tools will be your daily drivers. Collaborate closely with US-based Product and Design teams to implement features from architecture through deployment, leveraging AI for code generation, debugging, and review. Write clean, scalable, and highly maintainable code following best practices and architectural patterns. Utilize effective prompts and system instructions as a core engineering skill to maintain a robust MVVM architecture. Who You Are We are looking for a technically sharp devel

Role: Senior AI Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About the Role GHX is building a cutting-edge LLM-powered document understanding platform focused on classification, structured data extraction, and intelligent orchestration at scale. This is a high-impact AI engineering role where you will own the full lifecycle—from problem framing to production deployment . Initially, you will focus on prompt engineering and evaluation systems , building the quality foundation for AI performance. Over time, the role expands into agent orchestration, system architecture, and migration of rule-based systems to LLM-driven pipelines . A strong foundation in software engineering (5+ years) is essential. This role demands engineering rigor across both traditional system design and AI system behavior . Core Responsibilities 1. Prompt Engineering Design prompts for diverse document classification and extraction tasks Treat prompts as formal specifications (precise, structured, and edge-case-aware) Develop few-shot, chain-of-thought, and structured output templates Manage prompt lifecycle: versioning, testing, and rollback 2. LLM Output Evaluation Create and maintain ground truth datasets Build automated evaluation pipelines (precision, recall, field-level accuracy) Identify and resolve conceptually incorrect outputs despite surface correctness 3. AI Agent Orchestration Design multi-agent workflows for document processing Implement tool-use patterns and integrate MCP servers Optimize orchestration for scale and efficiency 4. Software Engineering Develop production-grade APIs and backend services Apply Clean Architecture / DDD principles Write maintainable, testable Python code Contribute to CI/CD, deployment, and observability systems 5. Stakeholder Collaboration Act as a bridge between business stakeholders and AI systems Translate product requirements into technical architectures Communicate system behavior, limitations, and quality

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 Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! As a Senior Salesforce Developer at New Relic, you will be responsible for building and maintaining our Salesforce org. You will work closely with our Sales Revenue & Finance teams to automate processes and build custom applications on the Salesforce platform. In this role, you will be responsible for the full development life cycle, from Design and Solution to deployment and maintenance. The ideal candidate will have 5+ years of experience as a Salesforce developer and be proficient in Apex, Lightning Web Components and Visualforce. They will also have experience with integrations and be able to work with other team members or independently. Duties & Responsibilities Design, develop, test, deploy, and maintain high-quality Salesforce.com solutions Configure Salesforce.com to meet business requirements Write Apex classes, triggers, Visualforce pages, and Lightning Web Components Integrate Salesforce.com with other systems (as needed) Perform data migrations Stay up to date on the latest Salesforce.com features Handle multiple projects simultaneously Work closely with business analysts, project managers, and other developers Adhere to coding standards and best practices Required Skills and Qualifications 5+ years of experience in Salesforce development, configuration, and customization Advanced Apex programming skills, including batch jobs, triggers, web services, and unit testing Experience with Lightning Components, Visualforce, and Force.com integration techno

We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing. What you'll be doing: Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks. Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems. Collaborate with business and IT teams to translate business requirements into AI-driven solutions. Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation. Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization. Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support. What we need to see: Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field. 6+ years of software engineering experience with strong proficiency in Python and backend application development. Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development. Experience integrating enterprise applications and building scalable, production-ready software solutions. Strong analytical, problem-solving, communicatio

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

Job Details: Job Description: In this role, you'll build software capabilities to automate the build, test, and deployment of Intel's Process Design Kit (PDK). A PDK is a collection of artifacts representing Intel's semiconductor process, used by product designers to model, implement, and verify Intel's mobile, desktop, and server products before manufacturing. You'll be a member of the Design Technology Platform organization, working closely with teams in the United States, Bangalore, and Penang to build world-class DevOps infrastructure that shapes the future of deploying PDKs to silicon product development teams at Intel. Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or another closely related field. 7-12 years of experience with a Bachelor's degree or Master's degree in software development and engineering. Excellent Python programming skills. Expert-level knowledge of pytest concepts. Expert-level experience with GitHub-based Jenkins CI/CD deployment, enablement, and debugging. Proven knowledge of Agile software engineering practices, IT environments, and DevOps principles and processes. Excellent debugging and problem-solving skills. Excellent written and verbal communication skills; ability to present complex issues with clarity to drive decisions. Must have hands-on experience with AI tools and demonstrated experience building AI agents/tools. Exposure to VLSI PDK domain is preferred. Strong team player with proven ability to collaborate effectively across cross-functional and geographically distributed teams. Job Type: Experienced Hire Shift: Shift 1

Remote Web Developer (Equity Partner 10%) Role Type: Founding Web Developer (Equity-Based) Location: Remote Experience: Freshers Welcome (Strong builders preferred) Compensation: 10% Equity (Vesting-Based) Cash Compensation: None initially About the Startup We are building two high-impact digital platforms: 1️ Solar Fintech Platform A fractional ownership platform where: • Users buy micro-shares (e.g., 100 units) of solar panels. • Once fully funded, solar panels are deployed to corporates. • Energy generation produces returns distributed proportionally to shareholders. Core Components: • Investor dashboard • Payment integration • Solar performance analytics • Admin & corporate PPA tracking 2️ Carpooling Platform (Similar to Mitfahrgelegenheit) A ride-sharing website connecting drivers and passengers traveling between cities. Core Components: • Driver ride listing system • Seat booking & payment • Route matching • Ratings & verification • Real-time notifications Role Overview As a Founding Web Developer, you will architect, build, and deploy both platforms from scratch. You are not just a coder you are a technical co-builder. Key Responsibilities Product Development • Develop full-stack web applications (frontend + backend) • Build scalable database architecture • Implement secure payment gateway integrations • Develop admin dashboards • Deploy MVP and iterate rapidly Solar Fintech Specific • Micro-share allocation logic • Wallet & transaction history system • Solar data API integration • ROI calculation engine • Investor performance dashboard Carpooling Platform Specific • Ride-matching algorithm • Location-based search • Booking & seat allocation system • Driver/passenger profile system Infrastructure • Cloud deployment (AWS / GCP / Azure) • CI/CD pipelines • Basic cybersecurity implementation • API architecture Skills Required • React / Next.js / Vue (Frontend) • Node.js / Django / Laravel (Backend) • SQL / NoSQL databases • Payment gateway integration exper

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. This role can be based remotely in the Indian region. As an ideal candidate, you will have: 5+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Working knowledge of UI development with demonstrable skills in semantic HTML, modern CSS, and TypeScript, integrated with frameworks(e.g, Vue.js , React.js , Angular.js ). Should demonstrate working knowledge of using AI agents (e.g Cursor, v0, Lovable, Windsurf) to orchestrate UI designs and interfaces. Proficient in deploying applications to the Cloud with cloud best practices(DevOps) any one cloud provider preferable AWS. Experience with benchmarking, profiling and performance tuning of Database systems 3+ years of software development experience Excellent presentation and communication skills A Bachelor’s degree or equivalent work experience As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database progra