The Job logo

What

Where

Customer Engineer, Business Application Platform, Google Cloud

Apply

You must Sign In before continuing to the company website to apply.

Minimum qualifications:

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 8 years of experience as a technical sales engineer in a cloud computing environment or in a customer-facing role.
  • Experience with web services and API technologies (e.g., HTTP, SOAP, REST, etc.).

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Experience with legacy and modern application development, container orchestration systems, and middleware technologies.
  • Experience in areas such as API management, application integration (iPaaS), security, and PaaS.
  • Knowledge of Google Cloud, multi/hybrid-cloud strategies, and associated technologies.
  • Knowledge of security and API security technologies (e.g., OAuth, mTLS, SAML, JWT, SSO, etc.).

About the job

When leading companies choose Google Cloud it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

In this role, you will help shape the future of businesses to use technology to connect with customers, employees, and partners. You will help prospective and existing customers and partners understand Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, and solve any potential technical roadblocks.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Provide API management, Application Integration, Security, and other application modernization expertise to support the technical relationship with Google’s customers.
  • Work with the Account team to identify, qualify business opportunities, understand key customer requirements, and develop a strategy to achieve technical goals.
  • Develop proofs of concepts, presentations, and demos with a clear plan to take a prospect successfully through the evaluation process.
  • Partner directly with product management to prioritize solutions impacting customers to Google Cloud.
Google Logo

Company

Google

Job Posted

8 months ago

Job Type

Full-time

WorkMode

On-site

Experience Level

8-12 years

Category

Software Engineering

Locations

Bengaluru, Karnataka, India

Applicants

Be an early applicant

Related Jobs

Google Logo

Senior Physical Design Engineer, Google Cloud

Google

Bengaluru, Karnataka, India

Posted: 6 months ago

As a Physical Design Engineer, you will collaborate with multiple teams and solve technical problems with innovative micro-architecture and logic circuit solutions. You will be responsible for driving the implementation of physical design methodologies and ensuring timing and power consumption of the design. Your work will contribute to the development of design methodology and rule sets for functional design engineers.

Google Logo

Silicon Validation Automation Engineer, Google Cloud

Google

Bengaluru, Karnataka, India

Posted: 8 months ago

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field or equivalent practical experience. 8 years of experience developing automated regression environments, tests scheduler, and setups management. Experience in developing an automation framework. Preferred qualifications: Experience in automation development tools/scripts such as Python, Jenkins, JavaScript, Puppet, etc. Experience in SoC silicon validation. Experience integrating third-party vendors lab equipment into automation frameworks (Oscilloscopes, thermal solution, smart power, supplies, etc.). Knowledge of Embedded C/C++. About the job Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users. As a Silicon Validation Automation Engineer, you will own the development and maintenance of the Chip validation environment, from all aspects. You will develop new features, required to increase setups utilization and productivity. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Build, from the ground-up, scalable hardware automation environment to support the silicon Validation team. Integrate all setup's needs to a single tool (e.g., lab equipment, logger, debugger, DUT board, etc.). Integrate post-processing tool, for fast analysis, and report generation. Integrate regression tool, for adding features and tools that the team needs. Support hot-spots debugging, by creating issue specific scenarios.

Google Logo

RTL Design Engineer, Silicon, Google Cloud

Google

Bengaluru, Karnataka, India

Posted: 8 months ago

Minimum qualifications: Bachelor's degree in Electrical Engineering or equivalent practical experience. 8 years of experience in ASIC development with Verilog/SystemVerilog, Vhsic Hardware Description Language (VHDL), or Chisel. Experience with ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT). Experience in SoC cycles. Preferred qualifications: Experience with scripting languages (e.g., Python or Perl). Knowledge of arithmetic units, bus architectures, processor design, accelerators, or memory hierarchies. Knowledge of high performance and low power design techniques. Knowledge of Field Programmable Gate Array (FPGA), emulation platforms, and SoC architecture. Knowledge of assertion-based formal verification. About the job Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users. In this role, you will collaborate closely with Design and Verification Engineers in active projects, creating architecture definitions with Register-Transfer Level (RTL) coding, and running block level simulations. You will also be working with the Silicon Validation team, defining the bring-up plan for an IP and assisting them during the bring-up activity. You will contribute in all phases of complex Application-Specific Integrated Circuit (ASIC) designs from design specification to production. You will collaborate with members of architecture, software, verification, power, timing, synthesis to specify and deliver high-quality System on a Chip (SoC)/RTL. You will solve technical problems with innovative micro-architecture, practical logic solutions, and evaluate design options. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Manage the block level design documents such as interface protocol, block diagram, transaction flow, pipeline. Perform RTL development (e.g., coding and debug in Verilog, SystemVerilog, function/performance simulation debug. Participate in synthesis, timing/power closure, and FPGA/silicon bring-up. Participate in test plan and coverage analysis of the block and SoC-level verification. Work closely with the Silicon Validation team on any functional, power and performance debugs. Communicate and work with multi-disciplined and multi-site teams.

Google Logo

Customer Engineer, GenAI, Google Cloud

Google

Gurgaon, Haryana, India

Posted: 8 months ago

Minimum qualifications: 3 years of experience in Software Engineering. Experience in front-end and back-end development with HTML5, CSS3, JavaScript, and modern front-end frameworks (e.g., React, Angular, or Vue.js). Experience in Python. Preferred qualifications: Experience with Google Cloud Platform and deploying applications using cloud services. Knowledge of RESTful API design and development. Knowledge of machine learning programming frameworks such as LangChain, PyTorch, Tensorflow, and prompt tuning Understanding of containerization technologies such as Docker and orchestration tools like Kubernetes. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Customer Engineer, you will have the opportunity to work on projects that leverage AI technologies to drive impactful solutions across diverse industries. You will be responsible for creating solutions and demonstrable applications using Google Vertex Services. You should have an experience in front-end and back-end technologies, along with expertise in Python. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Collaborate with cross-functional teams to gather requirements and design, develop, and deploy solutions using Google Cloud Vertex Services. Utilize your expertise in front-end technologies (e.g., HTML5, CSS3, JavaScript) and modern frameworks (e.g., Flutter, React, Angular, or Vue.js) to create visually appealing interfaces. Leverage Google Vertex Services, including Vertex AI, and Vertex Pipelines, to build and deploy machine learning models and pipelines. Implement RESTful APIs to facilitate seamless data exchange between the front-end and back-end components. Collaborate with product managers and other stakeholders to define scope, timelines, and deliver high-quality software solutions.