Qureos Mentor

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Utility Computing (UC)<br>
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;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.<br>
<br>
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&mdash;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.<br>
<br>
About AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Diverse Experiences<br>
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, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you&rsquo;ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we&rsquo;re handling massive scale and rapid integration of emergent technologies. We&rsquo;re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.<br>
<br>
Key job responsibilities<br>
<ul><li>integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing</li><li>As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.</li><li>Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.</li><li>Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.</li><li>Perform lint and clock domain crossing quality checks on the design.</li></ul>
- Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks.<br>
<br>
You will thrive in this role if you:<br>
<ul><li>Are familiar with scripting in Python</li><li>Are proficient with assertions</li><li>Have good debug skills to analyze RTL test failures</li><li>Have a &quot;Learn and Be Curious&quot; mindset</li></ul><br>
About the team<br>
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you&rsquo;ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we&rsquo;re handling massive scale and rapid integration of emergent technologies. We&rsquo;re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.<br>
<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Electrical Engineering or a related field</li><li>5+ years in RTL design for SOC</li><li>5+ years of VLSI engineering</li><li>5+ years with code quality tools including: Spyglass, LINT, or CDC</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree or Ph.D. degree in Electrical Engineering or related field</li><li>Experience scripting for automation (e.g., Python, Perl, Ruby)</li><li>Experience that includes strong analytical skills, attention to detail, and effective communication abilities</li><li>Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints</li><li>Familiarity with data path design, interconnects, AXI protocol</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you a tech-savvy storyteller who can simplify that complex and communicate it in a compelling way to your target audience? At AWS, we're seeking a Sr. Product Marketing Manager with technical chops who can shape the future of our AI-based products for business users.
<br>
<br>
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across multiple domains - from Analytics and AI to Security. We're looking for a unique blend of technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business. If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.
<br>
<br>
Key job responsibilities<br>
Know your ideal customer deeply, their challenges and pain points. Understand the environment in which they work, the technologies they already use, and the countless alternatives they have.
<br>
<br>
Create and drive perceptions through positioning and messaging that connects the needs of the customer with the job to be done (JBTD) and differentiates from the other alternatives customers have - including no action.
<br>
<br>
Define and drive the go-to-market plan that creates awareness, consideration, purchase, and loyalty and activate cross-company resources to execute the end-to-end plan.
<br>
<br>
Lead product launch strategies and associated plans, including naming, target audience
<br>
definition, and marketing vehicles.
<br>
<br>
Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS offerings.
<br>
<br>
Represent AWS as a technical evangelist in executive briefings, industry events, and analyst interactions.<br>
<br>
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>6+ years of professional non-internship marketing experience</li><li>Experience using data and metrics to drive improvements</li><li>Experience building, executing and scaling cross-functional marketing programs</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with customer segmentation, profiling, and targeting</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $212,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Product Marketing Manager

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you enjoy diving deep into Generative AI, solving complex problems, and sharing technical insights with fellow developers? Are you excited to explore how Generative AI will transform how software is designed, implemented, and deployed? If so, then this might be your dream job.<br>
Amazon Web Services (AWS) is seeking a Developer Advocate (DA) focusing on Generative AI to join the Developer Experience team in Bangalore, India. You'll be at the forefront of educating and enabling developers to harness the power of Generative AI on AWS.<br>
<br>
Key job responsibilities<br>
<ul><li>As a Developer Advocate on Generative AI, you'll be a technical thought leader in leveraging AI-powered tools for software development. You'll create and present technical content on integrating Generative AI into everyday coding practices, including in-depth tutorials, thought leadership articles on best practices and code samples.</li><li>Your expertise in both traditional software development and Generative AI technologies will position you as a go-to expert for developers seeking guidance on enhancing their development processes with AI. You'll mentor other developers, helping them effectively integrate Generative AI tools into their workflows.</li><li>You'll inform AWS product roadmaps with insights from real-world developer experiences and challenges in adopting Generative AI tools. You'll participate in early-stage product ideation for developer tools and services, bringing the voice of practical software developers to the table.</li><li>You'll support Developer Relations activities across the region, focusing on how Generative AI can solve common development challenges and improve overall productivity.</li></ul><br>
A day in the life<br>
Your day might start with a team standup, aligning on current projects. You could spend the morning preparing for an upcoming workshop on how to use Amazon Q for code generation, refactoring and automated testing. In the afternoon, you might spend time answering questions on Stack Overflow about integrating AWS Generative AI services into everyday software development tasks. Your day might conclude with some experimental coding, investigating ways to combine these AI-powered tools with traditional software development practices to create more efficient development workflows.<br>
<br>
Want to learn more about life as an AWS Developer Advocate? Check out this video: https://www.youtube.com/watch?v=xddeWeNEVkg<br>
<br>
About the team<br>
The Developer Experience team's mission is to explore the future of development so that we can help developers navigate a path to that future. Our goal is to inspire developers around the world. We show them how to practically use new technologies to build efficiently in the cloud. We show them new things they are now able to achieve, both in tackling more complex cloud problems and building new solutions that leverage generative AI. We earn trust with developers by being authentic, and by being practitioners ourselves. We are on an exciting journey together, and not everything is solved yet.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience</li><li>12+ years in Software Development and Cloud Computing building performant and scalable applications</li><li>Experience working with generative AI models, including text, image, and video generation, and familiarity with key concepts like foundational LLMs, prompt engineering, RAG, and model fine-tuning techniques (such as instruct tuning, PEFT, RLHF).</li><li>Excellent communication and public speaking skills, with experience delivering technical content to developers of varied backgrounds.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Proven experience developing applications using generative AI tools and foundational models, including prototypes and production-ready solutions.</li><li>Proficiency with modern LLM/AI tools (e.g., LlamaIndex, Amazon Q, LangChain, and vector databases), and a strong interest in exploring new tools and techniques within the GenAI ecosystem.</li><li>Experience with AWS AI/ML services such as Amazon Bedrock, and understanding of how to integrate these services into generative AI workflows.</li><li>Demonstrable experience engaging with developer communities, including creating technical content, public speaking, or active participation on platforms like GitHub, Stack Overflow, or developer forums.</li><li>Willingness to travel as required.</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Senior Developer Advocate, GenAI, AWS Developer Experience

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Application deadline: Applications will be accepted on an ongoing basis<br>
<br>
Are you excited to help the US Intelligence Community design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods. We build models for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs), text-to-image generation, and other advanced AI capabilities to fit the mission. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs.<br>
<br>
At AWS, we're hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems.
<br>
<br>
In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI.<br>
<br>
This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.<br>
<br>
Key job responsibilities<br>
As an Data Scientist, you will:<br>
<br>
<ul><li>Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate AI algorithms to address real-world challenges</li><li>Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.</li><li>Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder</li><li>Provide customer and market feedback to Product and Engineering teams to help define product direction
</li><li>This position may require up to 25% local travel.
</li></ul><br>
About the team<br>
About AWS<br>
<br>
Diverse Experiences<br>
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, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;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 and inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>4+ years of data scientist experience</li><li>Experience with statistical models e.g. multinomial logistic regression</li><li>Current, active US Government Security Clearance of TS/SCI with Polygraph</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience</li><li>Experience managing data pipelines</li><li>Experience as a leader and mentor on a data science team</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
The base salary range for this position is listed below. For salaried roles, your Amazon package will include listed sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits/us-benefits-and-stock.<br>
<br>
Colorado $159,200 - $215,300 annually<br>
National $143,300 - $247,600 annually</div>

Senior Data Scientist - Data and Machine Learning, WWPS ProServe

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Application deadline: Jan 3, 2026<br>
<br>
As a Google Cloud Platform (GCP) Cloud Intelligence (CI) SA you will be a leader with deep technical and business expertise influencing the AWS field on sales strategy and helping to design cloud-native solutions for their customers. You will develop and maintain cloud migration and modernization acumen across AWS and other public cloud offerings. You will document and share your insights to scale your expertise, and will also use these insights to improve our product offerings, and go-to-market campaigns.
<br>
<br>
The ideal candidate is an individual who understands the public cloud and has a passion for continual learning about new cloud offerings and the latest industry developments. You must be able to collaborate with cross-functional teams, think strategically about the complex business and technical needs of our customers, and be equally comfortable communicating with C-level executives and technical decision makers. You must have a proven track record as a consultant, advisor, or main stake holder delivering cloud native solutions.<br>
<br>
Key job responsibilities<br>
<ul><li>Serve as a subject matter expert on GCP technology and GCP&rsquo;s go-to-market strategy.</li><li>Consult with field SAs and BDs to analyze customers&rsquo; business and technical requirements and determine how the needs can best be met by AWS.
</li><li>Present your recommendations and designs directly to customers, demonstrating proficiency interacting with business executives (CxOs) and technical audiences (Architect/Director).
</li><li>Analyze trends and competitive offerings to generate technical and business insights. Foster a community of compete specialists who leverage your insights.
</li><li>Technical content creation (decks, whitepapers, recordings)</li><li>Deliver technical presentations and trainings to field SAs, BDMs, and product stake holders.</li><li>Deliver operational excellence managing a pipeline of technical engagements that requires rapid delivery and frequent reprioritization.</li></ul><br>
A day in the life<br>
The AWS Cloud Intelligence team is a specialty services organization that provides cloud compete expertise globally. We are subject matter experts (SMEs) covering top and emerging competitors, key domains, and industry segments. Cloud Intelligence enables field teams to help their customers quickly by removing both business and technical blockers in the sales cycle. We advise account teams and their customers through at scale content, gather and analyze insights surrounding comparable cloud providers, and highlight product and position gaps that our customers are experiencing to continuously improve AWS&rsquo; overall value proposition. In addition to on-demand self-service resources, the CI team provides targeted support for specific competitive opportunities through one-to-one customer engagements. This team hires SAs and BDMs who are SMEs in one or more public clouds to advise AWS field teams on the best strategies to develop compelling business cases to support customers co-existing and partnering with competing public cloud services.<br>
<br>
About the team<br>
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with new technologies and global clients.
<br>
<br>
Diverse Experiences<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>2+ years of architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. experience</li><li>2+ years of customer-facing environment experience</li><li>Bachelor's degree in Computer Science or other technical degree or related experience</li><li>2+ years of enterprise technology experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience migrating or transforming legacy customer solutions to the cloud</li><li>Experience effectively communicating complex concepts through written and verbal communication</li><li>AWS or other cloud certification</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
The base salary range for this position is listed below. For salaried roles, your Amazon package will include listed sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits/us-benefits-and-stock.<br>
<br>
Colorado $131,300 - $177,600 annually<br>
National $118,200 - $204,300 annually</div>

GCP Solutions Architect, Cloud Intelligence

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you a developer who loves sharing knowledge and building bridges between technology and people? Do you get excited about explaining complex technical concepts in simple terms? Are you passionate about helping other developers succeed and growing developer communities? If you're a natural teacher with deep technical expertise and excellent communication skills, we want to talk to you!
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Amazon Web Services (AWS) is seeking a Developer Advocate to join our team in Bangalore, India. In this pivotal role, you'll spearhead our developer engagement efforts across the region, driving adoption of AWS services and fostering a thriving developer ecosystem.<br>
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Key job responsibilities<br>
As a Developer Advocate, you'll create engaging technical content, including tutorials, blog posts and sample applications, that helps developers succeed with our platform. You'll represent our company at conferences, meetups, and online events, delivering technical talks and workshops that educate and inspire. You'll gather developer feedback to help shape our product roadmap and work closely with our engineering teams to ensure our platform meets real developer needs. Your role will involve building and nurturing relationships with developer communities, contributing to open-source projects, and establishing yourself as a trusted voice in the technical community.<br>
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A day in the life<br>
Your typical day might begin with reviewing and responding to developer questions on our community forums, followed by working on a technical blog post about a new feature. You might spend the middle of your day collaborating with the product team on upcoming features, sharing insights gathered from the developer community.<br>
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After lunch, you could be recording a tutorial video demonstrating best practices, then joining a virtual meetup to give a technical presentation. Later, you might work on code samples for an upcoming workshop or participate in planning discussions for a developer conference. Throughout the day, you're engaging with developers on social media, sharing insights, and staying current with industry trends while maintaining your technical expertise through hands-on coding.<br>
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About the team<br>
The Developer Experience team's mission is to explore the future of development so that we can help developers navigate a path to that future. Our goal is to inspire developers around the world. We show them how to practically use new technologies to build efficiently in the cloud. We show them new things they are now able to achieve, both in tackling more complex cloud problems and building new solutions that leverage generative AI. We earn trust with developers by being authentic, and by being practitioners ourselves. We are on an exciting journey together, and not everything is solved yet.<br>
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Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
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Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
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Inclusive Team Culture<br>
Here at AWS, it&rsquo;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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
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Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
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Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Computer Science or related field, or equivalent experience</li><li>5+ years of software development experience</li><li>Strong programming skills in one or more modern programming languages</li><li>Experience creating technical content (blogs, tutorials, hands-on workshops)</li><li>Excellent communication and public speaking skills, with experience delivering technical content to developers of varied backgrounds.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Hands-on experience with AWS services</li><li>Modern architecture experiences (e.g. container orchestration, service mesh, serverless)</li><li>Comfortable with major programing languages for system engineering such as Go, Python, Java and so on</li><li>Demonstrable experience engaging with developer communities, including creating technical content, public speaking, or active participation on platforms like GitHub, Stack Overflow, or developer forums.</li><li>Ability to create and present technical content aimed at practitioners.</li><li>Willingness to travel as required</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Developer Advocate, AWS Developer Experience

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world&rsquo;s AI technology?<br>
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The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.<br>
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Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.<br>
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The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.<br>
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Key job responsibilities<br>
Key job responsibilities<br>
As an experienced technology professional, you will be responsible for:<br>
1. Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.<br>
2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.<br>
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.<br>
4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.<br>
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures<br>
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.<br>
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.<br>
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This is a customer-facing role with potential travel to customer sites as needed.<br>
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About the team<br>
About AWS:<br>
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
Inclusive Team Culture - Here at AWS, it&rsquo;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 (diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
Mentorship &amp; Career Growth - We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
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</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of cloud architecture and solution implementation experience</li><li>Knowledge of the primary aws services (ec2, elb, rds, route53 &amp; s3)</li><li>Experience implementing AWS services in a variety of distributed computing environments</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of IT implementation experience</li><li>degree in advanced technology, or AWS Professional level certification</li><li>Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies</li><li>Knowledge of security and compliance standards including HIPAA and GDPR</li><li>Experience and technical expertise (design and implementation) in cloud computing technologies</li><li>Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience</li><li>Experience in performance optimization and cost management for cloud environments</li><li>Experience presenting technical solutions to diverse audiences in pre-sales environments</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Delivery Consultant - AI/ML, AWS Professional Services

Join Amazon Web Services and explore 24   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.