Development Engineer Salary in Santa Clara, CA

DESCRIPTIONInterested in Machine Learning? Amazon SageMaker (https://aws.amazon.com/sagemaker/) takes away the heavy-lifting normally associated with large-scale Machine Learning implementations, so that developers and scientists can focus on the truly creative work of modeling and solving the business problem at hand. SageMaker is a fully managed Machine Learning platform that makes machine learning services ease of use, universal and accessible to variety of enterprise users. Amazon SageMaker Canvas (https://aws.amazon.com/sagemaker/canvas/) allows you to prepare data for ML, automatically build machine learning models, evaluate their performance and deploy those models to an endpoint for inference. SageMaker Canvas will automatically explore different solutions to find the best model based on the data you provide.We are seeking Software Development Engineer for our SageMaker team. As an SDE-II you will lead and own the innovation in the space of ML services, building compelling functionality and new capabilities for the Amazon SageMaker and SageMaker Cavas, as we continue to develop more ML services and innovate on ML algorithms to satisfy different customer requirements.We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/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.

DESCRIPTIONAt AWS AI, we want to make it easy for our customers to deploy machine learning models on any endpoint in the cloud. Just as SageMaker provides a complete set of services to simplify the task of building and training a model, SageMaker ML Inference Optimizations Team optimizes models using Deep Learning compilers and other optimization techniques to generate a more efficient model, which offers best inference performance to its customers.The SageMaker ML Inference Optimizations team is growing rapidly to keep up with growth in customers and their requests. We are hiring well-rounded software developers with backgrounds in machine learning, compilers, systems, and AI accelerators. If you have worked on HPC and performance tuning, you will enjoy working on the breadth of ML applications that we optimize.As a deep learning platform developer, you will create systematic approaches to improve the performance of deep learning inference. You will help develop different deep learning model optimization techniques to improve the performance of model inference at runtime along the dimensions of latency, throughput and cost. The work offers an extremely broad set of opportunities to work as a full stack SDE with exposure to multiple AI applications, ML frameworks, models, compilers, systems SW, and various AI hardware including ARM, Intel, AWS Inferentia, and NVidia.Join the Amazon SageMaker ML Inference Optimization team to help AWS customers deploy machine learning models in the cloud running at the best possible performance. Work on open source industry-standard compilers and inference runtime for machine learning and help optimize the inference experience for SageMaker customers.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’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 based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/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. Applicants should apply via our internal or external career site.

DESCRIPTIONCome join the Backbone of Amazon SageMaker. Be part of the team that powers Amazon SageMaker's continued innovation and helps build the future of machine learning!As part of Shared Services, you will build and operate the mission-critical platform services that enable Amazon SageMaker to deliver a seamless machine learning experience at scale.Our services handle billions of requests each day to support key functions like authentication, authorization, traffic management, billing, compliance, and more for SageMaker components.We are a customer obsessed team dedicated to providing reliable, scalable, and cost-effective infrastructure to accelerate delivery of new capabilities. This is a unique opportunity to develop foundational platforms that will shape the future of an industry-leading product. You will employ the latest technologies like containers, serverless, and modern databases to solve complex problems.Our tight-knit team values ownership, creativity, and working collaboratively with partners. We move fast, learn quickly, and release often to delight our customers. As part of Shared Services, you will:* Architect and operate core platform services at massive scale* Employ cutting-edge technologies like DynamoDB, Kinesis, Lambda, EC2, etc.* Measure and improve key metrics like reliability, performance, security* Automate manual processes to improve efficiency * Collaborate closely with product and engineering teams* Promote best practices in security, compliance, and operational excellenceIf you are passionate about building robust and innovative platforms that amplify productivity, we want you on our team!We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/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.

DESCRIPTIONAre you passionate about designing and developing highly available and large-scale services? Would you like to invent and build solutions for customers that truly make a difference in their business? Are you an experienced software engineer and a self-starter who is excited to build something new and work at cloud scale? If the answer is yes, then we have an exciting opportunity for you. A wave of innovation is bringing sweeping changes to EC2 services with new virtualization capabilities, deep platform integrations, and unimaginable scale revolutionizing traditional thinking around how we run enterprise workloads in the cloud. We are looking for a Senior Software Development Engineer to build new capabilities to help customers run SAP workloads on AWS. The EC2 Commercial Services team defines and builds integrations with external software applications running in cloud environments and interoperability between external and internal billing services, to support the growth and expansion of a unique product offering for AWS. Our team is expanding and continuing to build new capabilities for our customers migrating and running SAP workloads on AWS.Key job responsibilitiesAs a senior SDE, you'll work alongside outstanding builders, principal engineers, and business leaders to create new capabilities that provide enhanced experience for our customers, influence product strategy, define system architecture and technical roadmaps, spearhead best practices and be a leader in the design and delivery of new products that'll shape the future of the cloud. All team members actively participate in product definition, technical architecture reviews, iterative development, code review, and operations. Along with this, you’ll have the opportunity to interact with customers to understand and ensure their needs are met. Clear, professional, verbal and written communication with teammates and customers is an important part of the job. You will be inventing the foundation for the next phase of the products and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.You should enjoy working on complex systems, be customer-centric, and have a proven track record of building exceptionally high-quality software that delights customers.A day in the lifeInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.About the teamOur team strives to place a high value on work-life balance, and we work to strike a healthy balance between your personal and professional life.This position involves on-call responsibilities. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/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.

DESCRIPTIONJob summaryThe Titan Labs data pipeline team is responsible for extraction, processing and delivery of large scale of data (in Trillion tokens, Petabytes of data) for Titan foundation models. The Titan pipeline team has to assess new data sources, enhance data pipeline to handle and process new types of data and transform them for consumption by Large Language Model training.As a senior SDE, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our customer base. In this, you will collaborate closely with a team of ML scientists to influence our overall strategy and define the team’s road map. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USA | Santa Clara, CA, USABASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/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. Applicants should apply via our internal or external career site.

DESCRIPTIONAt AWS AI, we want to make it easy for our customers to deploy machine learning models on any endpoint in the cloud. Just as SageMaker provides a complete set of services to simplify the task of building and training a model, SageMaker ML Inference Optimizations Team optimizes models using Deep Learning compilers and other optimization techniques to generate a more efficient model, which offers best inference performance to its customers.The SageMaker ML Inference Optimizations team is growing rapidly to keep up with growth in customers and their requests. We are hiring well-rounded software developers with backgrounds in machine learning, compilers, systems, and AI accelerators. If you have worked on HPC and performance tuning, you will enjoy working on the breadth of ML applications that we optimize.As a deep learning platform developer, you will create systematic approaches to improve the performance of deep learning inference. You will help develop different deep learning model optimization techniques to improve the performance of model inference at runtime along the dimensions of latency, throughput and cost. The work offers an extremely broad set of opportunities to work as a full stack SDE with exposure to multiple AI applications, ML frameworks, models, compilers, systems SW, and various AI hardware including ARM, Intel, AWS Inferentia, and NVidia.Join the Amazon SageMaker ML Inference Optimization team to help AWS customers deploy machine learning models in the cloud running at the best possible performance. Work on open source industry-standard compilers and inference runtime for machine learning and help optimize the inference experience for SageMaker customers.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’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 based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/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. Applicants should apply via our internal or external career site.

DESCRIPTIONOur software developers build the next generation technologies that change how millions of AWS customers connect, and interact with AWS services ecosystem. We use ideas from every facet of computer science including distributed computing, large-scale design, service oriented architecture, networking, big data processing, machine learning, and artificial intelligence. We are looking for highly-motivated and passionate engineers to build next generation of network management for one of the largest networks in the world. As a software engineer in Elastic Kubernetes Service (EKS), you will be solving unique distributed computing and automation challenges prevalent in our network. The software services have unprecedented scale and availability requirements. You will lead the software development of large-scale distributed software systems; in Java, Python, Golang and other languages using open source technologies, and Amazon proprietary technologies. This includes software applications dealing with configuration, modeling, workflows, large scale simulation, automation, fault tolerance, capacity planning, disaster recovery and prevention. You will get to work on brand new software products and distributed applications that deploy changes to thousands of nodes every day flawlessly without requiring human supervision. As a member of the EKS Networking team, you will get to actively contribute to open source projects such as AWS VPC CNI, eBPF based network policy, AWS load balancer controller and work on next generation eBPF based network observability and telemetry. Additionally you will get to work with exceptional team members and be directly involved in growing and mentoring junior engineers on the team. We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent- 8+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence- Proven software development skills, preferably in Java, Golang, C/C++, Python and/or Perl in a Linux environment- Familiarity with distributed systems, asynchronous messaging, and network protocols- Strong computer science fundamentals in data-structures and algorithms- Strong knowledge of object-oriented design and system architecture- Adept problem solving and troubleshooting skillsPREFERRED QUALIFICATIONS- Experience in taking a lead role developing complex software systems that have successfully been delivered to customers- Demonstrated ability to mentor other software developers in all aspects of their engineering skill sets- Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, product strategy and influence outcomes in technical decision-making- Knowledge of major protocols, topology design, network hardware and device configuration- Solid understanding of performance and efficiency with a strong customer focus- eBPF knowledge and hands on eBPF experience is a strong plus- Experience working on Linux kernel or any other operating system is a plusAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/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. Applicants should apply via our internal or external career site.

DESCRIPTIONAWS has the largest network in the world, and we hold the network information for it. If this does not provide the engineering marvel and excite you enough, think of the problems of scale to solve as a software engineer (storage, search, performance, freshness), the under the hood view of the largest network for Cloud Infrastructure, and the opportunities of data analytics hidden in the network data we hold, and therefore the future systems that can be built to power AWS Network Management Systems. As a Software Development Engineer at AWS, you are driving a wave of innovation and bringing sweeping changes to the way we manage our networks. You are developing software that allows us to build the most reliable, available and self healing network in the world. Virtualization, incredible scale, hardware commoditization, and automation are revolutionizing networking and network software. In AWS Networking, we leverage big data technologies and analytics software to run one of the largest networks in the world. We push the boundaries of robustness, fault-tolerance and smart adaptive algorithms that can react intelligently to real-world events. And with large language models (LLMs) gripping the industry by storm, this is your time to make history by building large-scale intelligent, distributed software systems.The AWS network is composed of millions of heterogeneous network devices, all of which need to be managed in a consistent manner, abstracted away from platform-specific differences, and reduced in complexity for our customers. The Network Data Management Systems have an exciting charter to provide scalable platform services for building authoritative data services for the Amazon Network. We are the network datastore for All network devices and our team offers a set of services and APIs which work in tandem to share this authoritative view with the core services needed to run the AWS network.Come build the future of networking at AWS.Key job responsibilitiesAs a Software Development Engineer, you’ll have a unique opportunity to shape the development of the world’s largest and most complex networks. In addition, you will:• Work closely with fiber engineering customers, AWS software teams and stakeholders to build geospatial data solutions. • Write high quality distributed system software.• Enjoy seeing the impact the work has on customers.About the teamAWS Global Connectivity and Network Availability (GCNA) is the backbone that connects the global AWS network. Focused on controlling the internet traffic that allows users to access their information and applications regardless of where they are in the world. GCNA is responsible for building and designing a complex backbone network that allows internet traffic to flow efficiently between data centers and customers.Come join us and enjoy the satisfaction that comes from successfully building software to scale and providing insights about one of the world’s biggest networks.Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers 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.Our inclusive culture empowers Amazonians to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work. If you would like to request an accommodation for the interview or onboarding process, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting https://www.amazon.jobs/en/disability/us 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career growthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Working at AWS on the GCNA Team • Meet Robert, VP: https://youtu.be/8v5i42FL02wWe are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/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. Applicants should apply via our internal or external career site.

This a part-time, temporary position supporting advanced R&D project work.Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us! Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.Part-time development engineering role.

DESCRIPTIONThe Call Analytics team at Amazon Connect delivers call insights using Amazon Machine Learning services to our customers. We work on high volume, complex call routing and integration with the Machine Learning and Generative AI services to bring insights that help our customers to deliver better user experience and efficient call handling. Our team owns the cloud services and corresponding AWS console experience that enable customers to route their calls to our service and configure the set of call recording and analytics capabilities. Our customer span across various industries like Call Centers, Securities Trading, Tax service providers, and Communication service providers. We look to provide the best easy to integrate call analytics service on the market by investing in easy integration with evolving machine learning capabilities across voice and video, increase insights using generative AI, and be globally available with lowest latency in generating insights for increased productivity.Come join us at AWS, if you are excited about solving customer problems in communications, workforce productivity and business insights at AWS scale, and have experience in building web services, working with audio and video streams, and integration with ML services.Key job responsibilitiesWe are looking for a highly effective software development engineer that can make an immediate difference and help design and deliver systems while maintaining a constant customer focus. You will work with your peers, research scientists and product management team to tackle hard problems with a growing AWS service.A day in the life- Work with peers on ongoing customer deliverables.- Design upcoming capabilities, drive consensus across the tech and product teams.- Look for endemic service deficiencies and solve them at scale.- Mentor your peers.- Hire new team membersWe are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/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. Applicants should apply via our internal or external career site.