Design Technologist in India

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: 8–12 years of Data Engineering experience. Experience leading enterprise-scale data initia

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform. This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations. What You Will Be Doing: Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale. Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams. Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals. Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation. Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams. Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness. Provide technical leadership and mentorship, influence engineerin

NVIDIA is seeking a highly enthusiastic and motivated Verification Engineer to verify the design and implementation of the next generation of control subsystems for the world’s leading GPUs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. At NVIDIA, our employees are passionate about parallel and visual computing. We are united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as “the AI computing company.” What you’ll be doing: As a key member of our ASIC Verification team, you will contribute to verifying graphics and compute features within an IP. You will be responsible for IP-level verification of GPU ASICs, including the design, architecture, golden models, and micro-architecture, using advanced verification tools and methodologies. You will work with the specifications, develop test plans, tests and verification infrastructure using UVM methodology and ensure functional and code coverage of all the RTL which you will verify. Work with HW architects and designers to make the right implementation choices. You will be working with architects, designers, and other members of yo

The main purpose of this role implementation of talent management strategies and organization design initiatives to build a high-performance work culture within the business. Building organizational capability (technical / functional / behavioral) to create a strong pipeline of future leaders for meeting business goals. EE develop strong, trusting relationships with each team member. Source: Adani Group | Job ID: 56998

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are now looking for our first Enterprise Solutions Consultant in Bengaluru, India to help Figma rapidly move up market and drive deals within large, sophisticated enterprise companies. In this role, you will serve as a technical and customer-facing resource, responsible for defining processes and programs that enhance scalability and represent Figma from a technical standpoint. This is a full-time role based out of our India office in Bengaluru. What you'll be doing: Paint the vision of the Figma Platform and guide customers in realizing the value through product demonstrations and presentations. Go deep technically with an engineering and product audience on how our technology works and how it will accelerate their digital product delivery Identify common trends across the market to influence our product team on the opportunity to unlock further growth opportunities. Own the customer IT and Security relationship during the deal cycle by addressing security questionnaires, RFIs, RFPs, identity and enterprise questions. Strengthen Figma's security reputation by understanding customer concerns about data access and working with product and legal teams to resolve findings. Design and scale technical sales efforts, facilitating conversations and connections between our customers, sales and product teams. Create thoughtful content to delight customers and internal partners surrounding the Figma platform. Collaborate with amazing Figmates to hone your craft and execute daily. We are looking f

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for an Enterprise Account Executive who will play a critical role driving sales and maximizing revenue with our Enterprise customers. You will be responsible for targeting, building and nurturing positive relationships with key executive level decision-makers, understanding complex business needs, and delivering innovative solutions across our product suite. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners at Figma. This is a full-time position based in our newly opened Bengaluru hub. What you'll do at Figma: Create and manage a pipeline of Enterprise accounts to consistently meet or exceed quarterly and annual sales targets Apply effective discovery and value-selling techniques to build and strengthen relationships with key decision-makers in both new and existing customers (5000+ FTEs) Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term Conduct thorough analysis to create strategic account plans that outline company priorities and initiatives, multi-threading at an executive level to build on expansion opportunities Manage a book of business by tiering accounts and initiating techniques to save contractions Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success Leverage oppor

Staff Backend Engineer- Tech Lead |100% Remote | US- SaaS Fintech (Product based firm) Role Responsibilities: Design, develop, and maintain systems on the payments team with primary focus on backend Collaborate with cross-functional teams—product, and design Participate in sprint planning, feasibility assessments, and code reviews Write clean, maintainable, and testable code in Focus on scalability, security, performance, observability, auditability, testability and long-term maintainability Contribute to improving SDLC processes and engineering best practices Troubleshoot production issues and deliver timely resolutions What We're Looking For: 8-12 years of backend engineering experience with a high agency mindset Deep expertise in any of the backend languages (Go or Ruby preferred) Solid grasp of payments domain Proven experience working in Agile/Scrum environments Strong API development skills (RESTful architecture) Excellent problem-solving and communication abilities AI fluent Bonus Points For: (Good to have skills) Experience with payment gateway integrations Familiarity with PCI compliance and secure coding practices Skills in performance optimization (DB, code, etc.) Exposure to GCP or other cloud platforms

Job Overview: We are seeking an experienced Azure Cloud Application Architect to design and implement enterprise-grade, cloud-native solutions using Azure services. This role involves defining best practices for architecture, governance, security, and cost optimization while enabling CI/CD and Infrastructure as Code. You will provide technical leadership, mentor teams, and act as a trusted advisor to clients, driving modernization, migration, and innovation initiatives. The position also includes pre-sales and post-sales engagement, building strategic partnerships, and contributing to thought leadership through white papers and presentations. Experience : 10+ years Key Responsibilities: Design and implement cloud-native application architectures using Azure services (App Services, AKS, Functions, Service Bus, etc.). Collaborate with stakeholders to translate business requirements into technical solutions. Establish governance, cost optimization, and security best practices for Azure applications. Work closely with DevOps teams to enable CI/CD pipelines and infrastructure as code (IaC). Provide technical leadership, mentoring, and guidance to development teams. Define and implement best practices architecture design, deployment, and operations. Design highly available, scalable, and cost-effective cloud solutions meeting business requirements. Collaborate with cross-functional teams, including DevOps, development, and business units, to align cloud solutions with organizational goals. Analyse complex technical issues, provide recommendations, and lead the resolution efforts for cloud-related challenges. Build capabilities, offerings, service accelerators and differentiators. Build a go-to-market strategy that highlights our cloud offerings that best support our customers' challenges. Innovation and Thought leadership, bringing out white papers, blogs, presentations, and collaterals. Responsible for delivering solutions archi

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 Pipeline Engineering team at Everpure™ as a Software Engineer to build, own, and operationally scale the microservices and Temporal workflows driving continuous integration for FlashArray, FlashBlade, and Hyperscale. In this developer-first role based in Bangalore, you will design durable production services and agentic AI tools that directly reduce time-to-signal, optimize compute utilization, and absorb operational toil across our global engineering workforce. WHAT YOU'LL DO Architect Deterministic CI Workflows: Design and deploy production microservices and durable Temporal workflows that make pipeline execution resilient, resumable, and fully debuggable for enterprise storage platforms. Optimize Compute & Testbed Utilization: Extend in-house scheduling logic and placement algorithms across bare-metal hardware and VM fleets to minimize queue times and maximize infrastructure efficiency. Build Operational AI Agents: Engineer RAG pipelines and agentic workflows over failure logs, vector stores, and test metadata to automate root-cause analysis, flake classification, and developer triage. Drive Platform Observability & Ownership: Establish key platform metrics—including time-to-signal and pass/flake rates—while operating your services end-to-end to ensure long-term stability and eliminate recurring failure modes. Collaborate Across Product Teams: Partner with platform and product engineering group

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 Pipeline Engineering team at Everpure™ as a Software Engineer to build, own, and operationally scale the microservices and Temporal workflows driving continuous integration for FlashArray, FlashBlade, and Hyperscale. In this developer-first role based in Bangalore, you will design durable production services and agentic AI tools that directly reduce time-to-signal, optimize compute utilization, and absorb operational toil across our global engineering workforce. WHAT YOU'LL DO Architect Deterministic CI Workflows: Design and deploy production microservices and durable Temporal workflows that make pipeline execution resilient, resumable, and fully debuggable for enterprise storage platforms. Optimize Compute & Testbed Utilization: Extend in-house scheduling logic and placement algorithms across bare-metal hardware and VM fleets to minimize queue times and maximize infrastructure efficiency. Build Operational AI Agents: Engineer RAG pipelines and agentic workflows over failure logs, vector stores, and test metadata to automate root-cause analysis, flake classification, and developer triage. Drive Platform Observability & Ownership: Establish key platform metrics—including time-to-signal and pass/flake rates—while operating your services end-to-end to ensure long-term stability and eliminate recurring failure modes. Collaborate Across Product Teams: Partner with platform and product engineering group

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

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them

Responsibility Partner with Product / Business / Tech owners and Design & Operation Leaders in understanding long-term capabilities / initiatives that need to be managed in-line with the Organizational strategic choices Review the business case and Own E2E (starting with solutioning till go-live) execution of one or more top level key strategic initiatives on need basis partnering with senior leadership team Besides managing and executing Strategic Programs, need to drive the Strategy Setting & Review exercises like OKR Finalisation, Quarterly/Monthly OKR Reviews Skills/Competencies required Education - B.Tech/B.E, MBA , PMP Certified Understanding of eCommerce industry and hands-on experience in driving complex strategic initiatives 7-10 Years of seasoned experience professional in project/ program management, preferable in supply chain, e-commerce business domains. Strong people skills: ability to influence people, negotiate and be unflustered in crucial conversations Strong affinity for data-based decision-making; adept at designing useful measurements Ability to thrive in an evolving/ambiguous environment and ability to deal with lack of clarity and vagueness Experience in partnering with Senior Leadership & driving Strategic Initiatives Good understanding of SDLC methodologies, in particular Agile methodologies and a know-how in adapting them