Medical Coding With Training For 2017 Passout Nursing And Pharmacy Jobs

Dr. Sheetu Singh, a nationally renowned pulmonologist and director ILD & Pulmonary Rehab Clinic, is an expert in chest-related cons. She got her training from SMS Medical College, Jaipur followed by a visit to Cleveland Clinic, USA. She has years of experience in treating patients suffering from various pulmonological disorders such as COPD, asthma, TB, and sleep apnea.

P-1495 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration. In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association . You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform. Impact Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity. Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business inves

P-1495 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration. In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association . You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform. Impact Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity. Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business inves

P-1605 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Data

P-1603 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Data

P-1602 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Data

P-1604 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just build software for the cloud; we are "cloud maximalists." We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments. We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where "zero-waste" compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code. The Impact You’ll Have Architect Scalable Systems: Design and implement highly available backend services using Scala, Java, Go, C++/C or similar . Distributed Systems Engineering: Design and implement highly scalable backend services in Java, Scala, or Go

P-1366 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don’t just build software for the cloud; we are "cloud maximalists." We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments. We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where "zero-waste" compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code. The Impact You’ll Have Architect Scalable Systems: Design and implement highly available backend services using Scala, Java, Go, C++/C or similar . Distributed Systems Engineering: Design and implement highly scalable backend services in Java, Scala, or Go

RDQ427R330 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Sr. Engineering Manager on the Agentic Service Platform team, you will be responsible for building the foundational service frameworks and runtime infrastructure that power every microservice at Databricks. The team's goal is to make every service at Databricks fast, reliable, observable, and secure by default, without each team having to solve these problems independently. The team owns the core agentic service platform: multi-language service and RPC frameworks, core libraries, request context propagation, overload protection, and abstractions that extend full platform capabilities to any language. The team’s work is high-leverage - a single improvement we ship benefits thousands of production services and thousands of engineers across the company. The impact you will have: Lead and scale a multi-faceted team of talented engineers, which may include line managers and senior/staff ICs, building core agentic service platform infrastructure used by every service at Databricks. Own and set the multi-year technical strategy and organizational roadmap for a critical, cross-cutting domain within the agentic service platform. Drive and ensure the predictable, high-quality delivery of complex, multi-quarter/multi-year strategic initiatives, often spanning multiple teams and product areas. Champion the career development and

Senior Customer Success Manager Location: West Coast US (Remote with up to 50% travel) Canopy is dedicated to keeping medical personnel safe while at work. We offer innovative technology solutions that prioritize the safety, security, and efficiency of healthcare environments. As we continue to grow, we are looking for a Senior Customer Success Manager (CSM) to join our team who is not only customer-centric but also a strong leader capable of helping shape and evolve the future of the Customer Success function. This role is part of Canopy’s growing Customer Experience team. Our CSMs work in close partnership with Implementation Managers, Account Executives, and Field Service Specialists to ensure a world-class customer journey. Senior CSMs lead our most complex, multi-phase enterprise accounts, while CSMs drive success and value across smaller, high-impact programs. Role Overview The Senior Customer Success Manager (CSM) at Canopy is responsible for managing a portfolio of high-priority, complex accounts—typically large, multi-site, multi-phase healthcare deployments. This individual will work closely with the Director of Customer Success and SVP of Customer Experience to ensure customer success, drive growth and renewals, and contribute heavily to the strategy, processes, and tools that define and evolve the Customer Success function. The Senior CSM will engage throughout the entire customer lifecycle, from install through renewal, with a focus on executive relationship building, measurable outcomes, and program growth. In addition to managing strategic accounts, the Senior CSM will bring best practices and feedback that help scale Canopy’s success model. Key Responsibilities Customer Management & Account Strategy Lead and manage a portfolio of strategic enterprise healthcare accounts, ensuring customer satisfaction and success across the lifecycle. Develop and execute tailored success plans, fostering strong relationships with stakeholders at all levels

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you'll have: Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers Establish best practices within the team & Databricks more widely for building valuable, AI products What we look for: 1

RDQ427R371 At Databricks , we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams. Impact you will have Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities. Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery. Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery. Create and maintain technical architecture a

About Us: Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. Key Responsibilities: Collaborate across various departments to enhance our AI-driven design and manufacturing processes. Contribute to different stages of production, from software development to operational management and factory floor operations. Engage in business development activities, including strategy formulation and relationship management. Innovate in areas of robotics and manufacturing technology to improve efficiency and quality. Qualifications: Relevant experience or a strong interest in fields such as engineering, manufacturing, business development, or robotics. Excellent problem-solving skills and a willingness to engage in a variety of challenges. Strong communication and teamwork abilities, capable of working in an interdisciplinary environment. Eagerness to learn and adapt in a rapidly evolving startup landscape. What We

About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As a Simulation Engineer at Atomic, you will develop high-fidelity models that capture the physics and constraints of real-world manufacturing processes. From thermomechanical behavior to material flow and force distribution, your work will power the tools that reduce tooling lead times from months to days — and eventually, minutes. You’ll collaborate with software engineers, generalists, and manufacturing experts to deploy simulation pipelines used every day in production. This role is ideal for someone who blends theoretical rigor with a strong intuition for how things behave in the real world. What You’ll Do Develop and implement simulations for thermal, structural, and material processes Validate models against physical test data and real production outcomes Work with mesh and CAD data to define simulation-ready geo

Senior Software Engineer Department: Engineering About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As a Senior Software Engineer on the Platform Engineering team, you'll help transform cutting-edge research into scalable, production-grade software used by engineers, machinists, and customers alike. You’ll work across services and systems — from CAD and mesh pipelines to simulation infrastructure and web APIs — to build the core backend and data services that power Atomic’s platform. This role is ideal for generalists who are excited to work across disciplines and take ownership of complex, high-impact systems. What You’ll Do Design and implement scalable backend systems and APIs in Python and other languages Build and maintain services for geometry processing, simulation orchestration, and real-time data handling Design schemas and pipelines for structured and unstructured dat