Qureos Mentor

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world&rsquo;s largest companies. With nearly two decades of experience supporting hundreds of thousands of startups, including 80% of unicorns, we democratize cloud computing to help founders bring their innovative ideas to life.<br>
<br>
We're seeking an experienced Software Development Engineer who wants to change the way we help Startups get started and grow on AWS. We strive to bring new tools, features, and innovations to the Startup community. We are building applications that will use modern architectures, new services patterns, and exciting technologies to ensure we are meeting our customers expectations for performance, availability, and features.<br>
<br>
In this role, you&rsquo;ll be responsible for developing and productionizing software that is stable, performant and scalable. You will ensure that software is delivered on time, directly addresses needs and customer pain-points. With minimal guidance, you will prioritize the correct work, and focuses on solving complex, ambiguous problems in both existing and new software initiatives through the application of appropriate technologies and best practices. You will make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. Success in this role means implementing data-driven product improvements and designing intuitive, scalable solutions that enhance the startup customer experience.<br>
<br>
The ideal candidate holds high technical standards for the themselves and their teammates, helps their team evolve by actively participating in code reviews, mentorships, and design discussions. They constructively identify problems, bottlenecks, and weakness within the system and propose solutions. They demonstrate personal ownership over, or vocally advocates for, projects and software enhancements that improve team processes and products. They have experience working with AI/ML technologies, and a strong track record of launching successful products using data-driven decision-making skills.<br>
<br>
On the Startup Team, you'll play a crucial role in democratizing cloud technology for startups worldwide, working with AWS's comprehensive startup resources including AWS service credits, technical training, startup events, exclusive offers, and personalized growth plans. Join us in leveling the playing field for startup founders globally by creating products that make world-changing ideas possible.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, develop, and maintain scalable software solutions that meet business requirements and customer needs</li><li>Lead technical solutions from conception through deployment, including architecture decisions and implementation strategies</li><li>Participate in full software development lifecycle, including requirement analysis, design, development, testing, deployment, and operations</li><li>Collaborate with cross-functional teams including Product Managers, Technical Program Managers, and other engineering teams</li><li>Mentor junior engineers and contribute to improving team's technical practices</li><li>Write high-quality, well-tested code following best practices and coding standards</li><li>Participate in code reviews and contribute to technical documentation</li><li>Drive operational excellence through monitoring, troubleshooting, and continuous improvement</li></ul><br>
About the team<br>
About the team<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 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.<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.<br>
Internal job description</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience</li><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>3+ years of programming experience with at least one modern language such as Java, Python, C++, C#, Typescript including object-oriented design.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science or equivalent</li><li>1+ years of experience in AI/ML engineering, working on agent systems or LLM applications.</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>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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>

Software Dev Engineer II, Startup Team

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector<br>
<br>
Are you a Cloud Consultant who has hands-on experience with building cloud-native applications? Would you like to work with our customers to help them architect, develop and re-engineer applications to fully leverage the AWS Cloud?<br>
<br>
Do you like to work on a variety of latest technology stack, business-critical projects at the forefront of application development and cloud technology adoption?<br>
<br>
AWS ProServe India LLP is looking for an experienced cloud consultant, you will work with our internal customers in architecting, developing and re-engineering applications that can fully leverage the AWS Cloud in India. You will work on a variety of game changing projects, at the forefront of application development and cloud technology adoption. Achieving success will require coordination across many internal AWS teams and external AWS Partners, with impact and visibility at the highest levels of the company.<br>
<br>
In order for applications to be cloud optimized they need to be architected correctly enabling them to reap the benefits of elasticity, horizontal scalability, automation and high availability. On the AWS platform services such as Amazon EC2, Auto Scaling, Elastic Load Balancing, AWS Elastic Beanstalk, Serverless Architectures, Amazon Elastic Container Services to name just a few, provide opportunities to design and build cloud ready applications.<br>
<br>
Key job responsibilities<br>
<ul><li>Full stack app developer with hand-on experience in design and development front-end and back-end for web applications, APIs, microservices, and data integrations</li><li>Proficiency in at least one programming language such as Java, Python, Go (Golang), or JavaScript/TypeScript, along with practical experience in modern frameworks and libraries like Angular, ReactJS, Vue.js, or Node.js.</li><li>Working knowledge of AWS services, experience with both SQL and NoSQL databases, and familiarity with modern communication protocols such as gRPC, WebSockets, and GraphQL.</li><li>Knowledge of cloud-native design patterns, including microservices architecture and event-driven systems.</li><li>Demonstrated experience building scalable and highly available applications on AWS, leveraging services such as Lambda, ECS, API Gateway, DynamoDB, S3, etc.</li><li>Preferred experience in optimizing cloud-based architectures for scalability, security, and high performance.</li><li>Experience working in Agile development environments, with a strong focus on iterative delivery and continuous improvement.</li><li>Ability to advise on and implement AWS best practices across application development, deployment, and monitoring</li></ul><br>
About the team<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 (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>
BASIC QUALIFICATIONS</b></h2><ul><li>6+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience</li><li>Full stack app developer with hand-on experience in design and development front-end and back-end for web applications, APIs, microservices, and data integrations</li><li>Working knowledge of AWS services, experience with both SQL and NoSQL databases, and familiarity with modern communication protocols such as gRPC, WebSockets, and GraphQL.</li><li>Knowledge of cloud-native design patterns, including microservices architecture and event-driven systems; Demonstrated experience building scalable and highly available applications on AWS, leveraging services such as Lambda, ECS, API Gateway, DynamoDB, S3, etc.; Preferred experience in optimizing cloud-based architectures for scalability, security, and high performance.</li><li>Experience working in Agile development environments, with a strong focus on iterative delivery and continuous improvement; Ability to advise on and implement AWS best practices across application development, deployment, and monitoring</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><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; 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 and technical expertise (design and implementation) in cloud computing technologies</li><li>A passion for exploring and adopting emerging technologies, with a growth mindset and curiosity to experiment and innovate; Ability to think strategically across business needs, product strategy, and technical implementation, contributing to high-impact decisions.</li><li>Code generation platforms (e.g. GitHub, AmazonQ Developer).</li><li>Automated test case generation and AI-assisted code reviews; Integrating machine learning models into applications e.g., recommendation engines, NLP-based search, predictive analytics.</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>

Delivery Consultant (App Dev)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Generative AI Innovation Center at AWS empowers customers to harness innovative AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.<br>
<br>
As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS&rsquo;s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.<br>
<br>
Key job responsibilities<br>
Key Responsibilities<br>
<br>
<ul><li>Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency.</li><li>LLM Customization &amp; Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF).</li><li>Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance.</li><li>Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions.</li></ul><br>
About the team<br>
ABOUT AWS:<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>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<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.<br>
<br>
AWS Global Services<br>
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You&rsquo;ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies</li><li>Current, active US Government Security Clearance of TS/SCI or above</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>2+ years of experience in developing, deploying or optimizing ML models.</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>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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. Machine Learning Engineer, GenAI Innovation Center

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Edge Connectivity service enables AWS Cloud connectivity options for US Intelligence and Department of Defense customers. These connectivity options allow our customer to deploy and run their isolated, sensitive workloads in an environment exclusive for their use-case. We help our customers to onboard, manage, and scale their connectivity options for maintaining persistent connection to AWS Isolated cloud.
<br>
<br>
In this role, you will build network pathways with which customers connect to Amazon's Dedicated Cloud partitions. You'll architect and implement software security protocols across Wide Area Networks (WANs), ensuring seamless and secure access to dedicated cloud environments. By developing sophisticated control and dataplane systems, you'll protect critical customer connections flowing through Amazon's global network of datacenters. You'll leverage the AWS ecosystem and integrate with third-party solutions to create secure pathways that meet our customers' stringent security requirements. Working alongside technology experts across Amazon, you'll define the next generation of dedicated cloud connectivity, setting new standards for enterprise-grade security. Your expertise in network encryption and software development will directly impact how how AWS customers access their mission-critical cloud infrastructure.<br>
<br>
The candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work.<br>
<br>
10012<br>
<br>
Key job responsibilities<br>
<br>
<ul><li>Collaborate with cross-disciplinary Amazonians to design, build, and implement cloud based services for managing encrypted network connections</li><li>Build distributed systems that are scalable, fault-tolerant, low cost, with ease of management and use.</li><li>Influence product direction through data-backed technical insights and framing solutions in terms of business impact.</li><li>Mentor your teammates, helping to grow and develop their technical and operational skills</li><li>Participate in oncall rotation in support of our services</li></ul><br>
Have questions about this role? Start a chat with the recruiter today! Please reach out to Krystan Silva at skrystan@amazon.com for inquiries.<br>
<br>
A day in the life<br>
Our team follows the Agile development methodology. Team members participate in daily stand-ups and weekly sprint planning and backlog grooming sessions. We conduct annual program planning and quarterly prioritization meetings to align tasks with organizational goals. Developers, Program Management (PM) team, and Single-Threaded Owners (STOs) collaborate to define and execute these tasks. Each developer serves as on-call support approximately four times per year to maintain our service availability target.<br>
<br>
About the team<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>
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 their cloud services.<br>
<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<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>
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.<br>
<br>
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.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)</li><li>Experience programming with at least one software programming language</li><li>Experience with networking protocols (TCP/IP, BGP, IPSec)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience with network Layer2/3 encryption(HAIPE/Ethernet Data Encryption(EDE))</li><li>Current, active US Government Security Clearance of Top Secret or above</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>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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>

Software Development Engineer, AWS Edge Connectivity

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon&rsquo;s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers&rsquo; businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon&rsquo;s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br>
<br>
We have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex engineering and algorithmic problems. We are looking for passionate and talented Software Development Engineers to join us to innovate on this new service that addresses customer needs to build modern contact centers in the cloud. The position represents a rare opportunity to be a part of a fast-growing business soon after launch, and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation contact center, and get the opportunity to design and deliver scalable, resilient systems while maintaining a constant customer focus.<br>
<br>
The Software Development Engineer II will contribute to the development of novel AI systems. The role requires balancing rapid innovation with reliability and compliance. You should be comfortable working on difficult problems with visible risks or roadblocks. You'll work closely with technical leaders within the team. We're looking for engineers who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact.<br>
<br>
Key job responsibilities<br>
<ul><li>Drive technical decisions and architecture for AI systems that balance accuracy, latency, and compliance</li><li>Partner with product and science teams to deliver impactful AI features that simplify complex business processes</li><li>Lead projects requiring work from multiple engineers</li><li>Solve complex software problems with solutions that are as simple as possible</li><li>Lead design reviews and actively participate in reviews for your team and adjacent teams</li><li>Mentor and coach other engineers on the team</li></ul><br>
About the team<br>
ABOUT AWS:<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 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.
<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 and AmazeCon 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>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations</li><li>Experience building complex software systems that have been successfully delivered to customers</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience in machine learning, data mining, information retrieval, statistics or natural language processing</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>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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>

Software Development Engineer, Amazon Connect

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon&rsquo;s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers&rsquo; businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon&rsquo;s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br>
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The way the world works is undergoing enormous change. People are working from home, on the go, and moving from one project to the next. And, they're collaborating across borders, time zones, and organizations. We built Amazon Web Services End User Computing (EUC) services to give companies the agility to respond to the changing needs of their workforce. Our vision is to be the best place for customers to run and access their desktops and apps from any device. As we continuously innovate to increase workforce productivity, we are looking for a software engineer to build a new service to realize that vision. More information about Amazon End- User Computing can be found here: https://aws.amazon.com/products/end-user-computing/<br>
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We are looking for a Software Development Engineer who is excited by the unique challenges in this space, and who is able to think strategically as well as drive implementation. You will influence the technical direction of the team, working with many different technologies and organizations across AWS and Amazon.<br>
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As a SDE working on Niva OS, you will tailor an Ubuntu-based distribution for our use cases and enforce a verifiable chain of trust from boot to userspace. You&rsquo;ll curate and build Debian and Snap packages, sign artifacts, and automate image builds and optimze OTA/rollback flows. You will integrate Secure Boot, kernel lockdown, dm-verity, and measured boot with TPM 2.0 and device attestation. You are comfortable in Java, C++, Shell scripting and Python in a Linux environment. Prior contributions to upstream Linux or other open-source projects are required. The candidate must have experience in one or more of these areas: Ubuntu Linux customization on X86 based platforms. Proficiency in Python and Java for production-quality software. Experience with Linux low-level system development.<br>
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Our team is constantly innovating, finding new ways of building massively scalable systems. We set a high bar to build and deliver highly secure, highly available, and highly scalable systems. We are passionate about our customers, and love to solve their most critical problems. If you just like us enjoy working with a fun team that prides itself on a great work environment with an inclusive group of people, surround yourself with a highly talented pool of engineers that like to solve complex problems, join us.<br>
<br>
About the team<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>
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>
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>
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>
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.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design</li><li>Experience in one or more of these areas: Experience in Ubuntu Linux customization on X86 based platforms. Proficiency in Python and Java for production-quality software. Experience with Linux low-level system development.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Demonstrated ability to take a project from initial scoping to the launch.</li><li>Experience in designing and implementing large-scale distributed systems.</li><li>Demonstrated ability to distill problem definitions, models, and constraints from informal business requirements, and to deal with ambiguity and competing objectives.</li><li>Demonstrated ability to resolve conflicts and technical disagreements while leading the team to the optimal solution.</li><li>Passion for building new products in a fast paced, team-oriented environment</li><li>Experience in developing and launching public Amazon Web Services.</li><li>Experience in Linux kernel and/or device driver development, kernel development and performance optimization.</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 $129,300/year in our lowest geographic market up to $223,600/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>

Software Development Engineer II - Linux Platform Engineer, End User Computing - New Initiatives

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.
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As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS&rsquo;s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.<br>
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Key job responsibilities<br>
<ul><li>Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
</li><li>LLM Customization &amp; Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
</li><li>Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
</li><li>Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions<br>
</li></ul><br>
<br>
About the team<br>
ABOUT AWS:<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>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<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.<br>
<br>
AWS Global Services<br>
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You&rsquo;ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference)</li><li>Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Hands-on experience with at least one ML library or framework</li><li>2+ years of experience in developing, deploying or optimizing ML models</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>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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 Machine Learning Engineer, Model Customization, Generative AI Innovation Center

Join Amazon Web Services and explore 37   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.