Strong Compute jobs

Senior Machine Learning Engineer/Machine Learning Engineer III USA, WA, Seattle posted: Posted Yesterday

Senior Quantization Engineer - Edge AI Hyderabad posted: Posted 12 Days Ago

Sr. Systems Engineer, Managed Operations Berlin, Berlin, DEU AWS has recently launched the inaugural European Sovereign Cloud (ESC), marking a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced senior systems engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building and leading operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass contributing to the smooth operation of the ESC, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in building a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product innovations - from foundational

ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the

Systems Engineer, Managed Operations Madrid, Community of Madrid, ESP AWS has successfully launched the European Sovereign Cloud (ESC), marking a significant development in Utility Computing (UC). To spearhead this initiative, we are actively seeking experienced systems engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building, operating and evolving operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the ongoing operations and expansion of the ESC, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring continuous improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in operating and scaling a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product

Staff Software Engineer, TPU Machine Learning Supercomputer Sunnyvale, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a member of the TPU Machine Learning Supercomputer (MLSC) team, you will design and develop features to significantly improve the scalability and reliability of large-scale software across TPUs and other distributed networked hardware machines. Your work will span various layers of the software stack, from host daemons to network routing and distributed control software running across Google's internal and cloud infrastructure. You will also provide leadership to help formulate and drive software development plans for future supercomputer generations. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure

Instrument Control Engineer, Software, Center for Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer. We are looking to hire an Instrument Control Engineer to join our growing software team. You will work closely with our experimental physics and control hardware development teams to enable their work characterizing, calibrating, and operating novel quantum devices. The ideal candidate should be able to translate high-level science requirements into software implementations (e.g. Python APIs/frameworks, compiler passes, embedded SW, instrument drivers) that are performant, scalable, and intuitive. This requires someone who (1) has a strong desire to work within a team of scientists and engineers, and (2) demonstrates ownership in initiating and driving projects to completion. This role has a particular emphasis on working directly with our control hardware designers and vendors to develop instrument software for test and measurement. Inclusive Team Culture Here at Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed

Software Dev Manager - AWS IAM, Control Plane Seattle, Washington, USA We are looking for a strong Engineering Manager to lead a team responsible for building core storage components for the next generation IAM Control Plane architecture. AWS Identity and Access Management (IAM) enables customers to secure their workloads in the cloud by providing authentication and authorization mechanisms to all of AWS. We enable our customers to manage their credentials and access policies in the AWS cloud. We operate some of the largest distributed systems in the world, processing billions of transactions per second world-wide. The IAM Control Plane teams are working on the next generation architecture for IAM aiming to improve the scaling, and availability of the system. This team will be responsible for designing, building and delivering on core storage fleet management components, including workloads for building fleets, remediating failures, managing data replication, providing disaster recovery capabilities and similar. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Defining and

Manager, Machine Learning Engineering (Underwriting) Remote Canada

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team Austin, Texas, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting,

Systems Engineer/Dev Ops Eng, Managed Operations Berlin, Berlin, DEU AWS is set to introduce the inaugural European Sovereign Cloud (ESC), marking a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced systems engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building and leading operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in building a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product innovations - from

Tensor SOC Performance Design Verification Engineer Bengaluru, Karnataka, India Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Develop simulators and architectural models of Google's Tensor SOC. Collaborate with system architects, SoC and CPU/GPU/TPU architects/designers, and software and application experts to understand current and future requirements. Participate in architectural and design evaluation of Tensor SOC features studies. Perform pre-silicon performance simulation and correlate with pre and post-silicon measurements. Communicate analysis results qualitatively and quantitatively. Minimum qualifications: Master's degree in Electrical Engineering, Physics, Computer Engineering, Materials Science or related field or equivalent practical experience. 4 years of experience in the SOC design/verification. Experience verifying digital logic at the Register Transfer Level (RTL) using SystemVerilog at Subsystem or Full chip level. Experience in mobile SOC performance model development, performance analysis, and workload characterization. Preferred qualifications: Experience in CPU microarchitecture innovation. Knowledge of system software components, such as Linux, drivers, and runtime. Knowledge of performance analysis tools. Knowledge

Enterprise Account Manager, AWS Industries Strategic Accounts Gurugram, Haryana, IND Are you interested in accelerating adoption of Amazon Web Services (AWS), Amazon's cloud computing business in the AWS Industries Strategic accounts customer segment? As an Enterprise Account Manager, your responsibilities are to build and drive the strategy to increase AWS adoption in Strategic accounts to build long and sustainable relationships. The ideal candidate should possess a business development background that enables them to engage at all levels of a customer and partner organization, including C-levels of the business and IT. He/She will also demonstrate a strong technical competency focused on the IT landscape and cloud computing. He/she should be a self-starter who is prepared to develop and execute against a territory coverage plan business objectives. Key job responsibilities · Accelerate customer adoption by identifying specific customer market segments and industry verticals to approach with a value proposition for using the AWS cloud platform. · Develop long-term strategic relationships with key companies at the C-levels of Business & IT · Work closely with the AWS Channels team to ensure that Amazon's cloud product line -AWS is the partner's preferred cloud computing platform across all service lines. · Maintain an accurate forecast and various business reports. · Create & articulate compelling value propositions around AWS services. · Possess the technical ability to explain (not implement) Cloud Computing, infrastructure solutions (Server, Storage, DC Services) & Internet architectures (firewalls, load balancers, etc). · Prepare and give business reviews to the management team. · Ensure

SW Engineer - Virtual Platforms Haifa, Haifa, ISR Annapurna Labs develops innovative hardware solutions that powers the world's largest cloud infrastructure. We design custom silicon, including the Graviton processors and Nitro System components that underpin modern cloud computing. Our technologies are at the core of Amazon Web Services (AWS), powering their most critical services. We operate with the agility and ambition of a start-up, backed by the scale and impact of Amazon. Our engineers tackle challenges across the full stack - we own every stage of silicon development, from architecture definition and design through verification, validation and system software. You'll have the opportunity to work alongside amazingly talented engineers on technologies that serve millions of customers worldwide, in a dynamic, open, and fast-paced environment where your contributions directly shape the future of cloud computing. We are looking for talented engineers to join our Virtual Platforms team. Virtual platforms play a crucial role in accelerating the development process by enabling early software development, system-level testing, and architectural exploration without the constraints of physical prototypes. Key job responsibilities As a Virtual Platform Engineer, you will: • Create and maintain Virtual Platform environments for software development and system-level validation • Optimize complex hardware-software interactions • Drive collaboration across all development teams with a strong customer-obsessed approach Basic Qualifications: - Bachelor's/Master's degree in Computer Science, Electrical Engineering, or related disciplines - Knowledge of computer architecture (CPUs, networking, protocols) - Good understanding of hardware and software interaction - 5+ years of experience in software development,

Sr Applied Scientist, Generative AI/ML Seattle posted: Posted 24 Days Ago

Senior Design Automation Engineer, Software, Center for Quantum Computing San Francisco, California, USA The Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer. We are looking to hire a Senior Design Automation Engineer to join our growing software team. You will work closely with our superconducting chip design teams to enable their working designing, simulating, and improving the performance of our quantum devices. The ideal candidate should be able to translate high-level science requirements into software implementations (e.g. Python APIs/frameworks, automation routines, database schemas, infrastructure-as-code setups) that are performant, scalable, and intuitive. This requires someone who (1) has a strong desire to work within a team of scientists and engineers, and (2) demonstrates ownership in initiating and driving projects to completion. This role has a particular emphasis on working directly with chip designers to develop scientific software for automating, scaling, and optimizing the quantum device design process. Inclusive Team Culture Here at Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is

Machine Learning Compiler Engineer Cupertino, California, USA The Product: Amazon's Machine Learning accelerators are at the forefront of our innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in

Sr. Principal Machine Learning Engineer CA - Virtual - E posted: Posted 4 Days Ago

SoC Power Analysis and Optimization Engineer Tel Aviv-Yafo, TA, ISR AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. If you want to be part of a team that's advancing cloud computing technology at scale, join our Power Analysis, Optimization, and Management team, where you'll help develop advanced processors that power Amazon Cloud. We're looking for someone who combines strong technical knowledge in chip design with excellent problem-solving abilities and collaborative skills. Watch these videos to learn more about Annapurna Labs and the Graviton project. AWS re:Invent 2025 - Keynote with Peter DeSantis and Dave Brown: https://www.youtube.com/watch?v=JeUpUK0nhC0 AWS re:Invent 2025 - AWS Graviton https://www.youtube.com/watch?v=haSHl2BLhm8 Key job responsibilities Analyze SoC Power consumption at Pre and Post Si stages Contribute to SoC Power optimization during all stages of Design Cycle Work with variety of teams to impact the quality of SoC power efficiency: Logic & Physical Design, PDN, Post-Si. Optimize Power Team

Staff SWE, Compiler Architect, System Performance Modeling Sunnyvale, CA, USA; +3 more Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models. Our team is pioneering next-generation performance modeling and simulation technologies that drive multi-year system architecture roadmaps for cutting-edge machine learning accelerators. We are looking for a visionary technical lead to define and own the accuracy and fidelity of our critical co-design simulation platform. Help work on the most complex system-level performance challenges in close collaboration with hardware designers, ML researchers, and product architects, defining the next decade of AI systems at data center scale. If you are excited about building the most powerful ML systems with HW-SW co-design and optimization, please join us and accomplish the missions together. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power

Systems Engineer, Managed Operations, Managed Operations Berlin, Berlin, DEU AWS has successfully launched the European Sovereign Cloud (ESC), marking a significant development in Utility Computing (UC). To spearhead this initiative, we are actively seeking experienced systems engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building, operating and evolving operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the ongoing operations and expansion of the ESC, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring continuous improvements in availability, reliability, latency, performance, and efficiency of the ESC. You will be required to occasionally participate in “on-call” rotations to resolve incidents occurring out-of-hours. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in operating and scaling a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product

Sr Computer Scientist Bangalore posted: Posted 30+ Days Ago

Senior SoC Power Analysis and Optimization Engineer, Graviton Team Tel Aviv-Yafo, TA, ISR AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. If you want to be part of a team that's advancing cloud computing technology at scale, join our Power Analysis, Optimization, and Management team, where you'll help develop advanced processors that power Amazon Cloud. We're looking for someone who combines strong technical knowledge in chip design with excellent problem-solving abilities and collaborative skills. Watch these videos to learn more about Annapurna Labs and the Graviton project. AWS re:Invent 2025 - Keynote with Peter DeSantis and Dave Brown: https://www.youtube.com/watch?v=JeUpUK0nhC0 AWS re:Invent 2025 - AWS Graviton https://www.youtube.com/watch?v=haSHl2BLhm8 Key job responsibilities Analyze SoC Power consumption at Pre and Post Si stages Contribute to SoC Power optimization during all stages of Design Cycle Work with variety of teams to impact the quality of SoC power efficiency: Logic & Physical Design, PDN, Post-Si.

Software Dev Manager - AWS IAM, AWS Identity -IAM Control Plane Arlington, Virginia, USA We are looking for a strong Software Development Manager to lead a team responsible for core IAM components - Resource Tagging, Sharing and Access Management. - Manage a team of SDEs building foundational IAM components - Own the technical direction for core IAM components - Resource Tagging, Sharing and Access Management. - Drive cross-team collaboration across AWS organization Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Defining and delivering on long-term product and architecture strategy for Resource Tagging, Sharing and Access Management. - Executing against project plans and delivery commitments; Managing day-to-day activities of the engineering team within an Agile/Scrum environment - Recruiting, hiring, mentoring, coaching, retaining and performance management for a best-in-class engineering team. - Communicating development, quality, operations, and system performance to senior leadership - Ownership and continuous improvement of all operational metrics and automation tools for your team's software. About the team AWS Identity