software development engineer Jobs in Seattle

software development engineer

software development engineer ii Jobs in Seattle

software development engineer ii

software engineer, front end, geo Jobs in Seattle

software engineer, front end, geo

software engineer, frontend Jobs in Seattle

software engineer, frontend

software engineer, full stack Jobs in Seattle

software engineer, full stack

software engineer front end geo

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 <strong>
  Seattle, WA, USA; Mountain View, CA, USA
 </strong>
 .
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree or equivalent practical experience.
  </li>
  <li>
   2 years of experience with JavaScript, TypeScript, HTML, and CSS.
  </li>
  <li>
   2 years of experience developing and designing APIs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree or PhD in Computer Science or related technical fields.
  </li>
  <li>
   3 years experience designing web-based products for a consumer-oriented website.
  </li>
  <li>
   2 years of experience with data structures or algorithms.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 <br/>
 <br/>
 The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
 <br/>
 <br/>
 The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
 <br/>
 <br/>
 The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 <br/>
 <br/>
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Write product or system development code.
  </li>
  <li>
   Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  </li>
  <li>
   Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  </li>
  <li>
   Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  </li>
  <li>
   Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>


Software Engineer, Front End, Geo

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Kirkland, WA, USA; Seattle, WA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in a technical field, or equivalent practical experience.</li>
<li>2 years of experience in program management.</li>
<li>Experience in machine learning or artificial intelligence.</li>
<li>Experience in manipulating datasets using SQL, R, Python, or other programming languages.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Bachelor's degree in Engineering, a related technical field, or equivalent practical experience.</li>
<li>2 years of experience managing cross-functional or cross-team projects.</li>
<li>2 years of experience within machine learning.</li>
<li>Experience in solving machine learning or artificial intelligence challenges involving data analytics and statistics.</li>
<li>Ability to take initiative and separately make trade-offs in a highly ambiguous, fast-changing environment.</li>
<li>Excellent written and verbal communication skills with the ability to interact with technical and non-technical global, cross-functional groups.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
A problem isn&rsquo;t truly solved until it&rsquo;s solved for all. That&rsquo;s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you&rsquo;ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You&rsquo;ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
</p><p>The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.<br>
<br>
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.</p><p>
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Contribute to and execute programs under Geo Data Operations (GDO) Machine Intelligence strategy in collaboration with Engineering and Operations teams.</li>
<li>Identify processes, infrastructure, and tooling requirements to scale machine learning and data services.</li>
<li>Run data pipeline Sustainment and AI Operations programs within GDO, contributing to engineering projects from conception to implementation.</li>
<li>Build scalable and intelligent solutions to produce high quality data that form consumer and enterprise user needs.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Technical Program Manager II, AI/Machine Learning, Geo

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The ChatGPT for Work team works across research, engineering, product, and design to bring OpenAI&rsquo;s technology to consumers and businesses.
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 <br/>
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for an experienced frontend engineer to join our Applied Engineering teams. You&rsquo;ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it&rsquo;s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.
 <br/>
 <br/>
 You will help build and deploy our ChatGPT for Work product. We shipped ChatGPT for Work in August last year, and we&rsquo;re humbled and excited by the reception &ndash; a recent study found that ChatGPT can drive up to 30% more productivity in knowledge work.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner closely with research, product, and design to bring new features and research capabilities to the world
  </li>
  <li>
   Design and build efficient and reusable front-end systems that drive complex web applications
  </li>
  <li>
   Plan and deploy front end infrastructure necessary to build, test, and deploy our products
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have at least 4 years of experience building production web apps at scale using TypeScript, React, and other web technologies.
  </li>
  <li>
   Are comfortable building complex applications and systems from the ground up, with limited development infrastructure available to you.
  </li>
  <li>
   Have a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others.
  </li>
  <li>
   Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>


Software Engineer, Frontend

Software Engineer, Product

Uber

<div><b>About the Role</b>
<br>
<br>
Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked?
<br>
<br>
If so, Uber is for you. In our ML and Science division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
<br>
<br>
We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
<br>
<br>
<b>About the Team</b>
<br>
<br>
Earners (drivers and couriers) are an integral part of Uber's multi-sided marketplace. They provide the time and the means to move people and things. Importantly, they enable the connection between the physical and digital world to make the movement happen at the push of a button for everyone, everywhere.
<br>
<br>
Within Uber, Earner Growth plays a critical role in earners' journey as the team is responsible for earner onboarding, activation, early life cycle, and resurrection. This presents the teams with the opportunity to shape and tailor the product experience during earners' many firsts (i.e., first time interacting on the Uber platform, choosing the earning opportunity, going online, receiving incentive offers, completing a trip, or reading the earnings summary). These firsts can be daunting.
<br>
<br>
Therefore, making sure that the earner journey is great at every touch point is important to build trust with Earners, communicate Uber's value proposition, and ensure each firsts to be a great experience.
<br>
<br>
<b>What You'll Do</b>
<ul><li>Build statistical, optimization, and machine learning models
</li><li>Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend
</li><li>Optimize Uber's background check spend and onboarding funnel
</li><li>Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
</li><li>Develop matching algorithms for driver to driver mentorship program
</li><li>Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
</li><li>The team employs a variety of ML/AI techniques, spanning from causal ML meta learners, supervised ML, RL multi-armed bandits, genAI LLM to deep learning embeddings to build impactful data products.
</li><li>Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
</li><li>Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product.
</li></ul><b>Basic Qualifications</b>
<ul><li>PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
</li><li>4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling.
</li><li>Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++).
</li><li>Experience with any of the following: Spark, Hive, Kafka, Cassandra.
</li><li>Experience building and productionizing innovative end-to-end Machine Learning systems.
</li><li>Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
</li><li>Experience working with cross-functional teams(product, science, product ops etc).
</li></ul><b>Preferred Qualifications</b>
<ul><li>5+ years of industry experience in machine learning, including building and deploying ML models.
</li><li>Publications at industry recognized ML conferences.
</li><li>Experience in modern deep learning architectures and probabilistic modeling.
</li><li>Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM.
</li>Expertise in the design and architecture of ML systems and workflows.<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr. Machine Learning Engineer, Earner Growth

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centres and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
<br>
<br>
The AWS Data Centre Design Services team is looking for a BIM Client Information Manager to join our highly collaborative leadership team, responsible for all data centre (DC) and ancillary building projects across AWS Americas North and South regions. As a BIM Client Information Manager you will work with a multi-disciplinary team of BIM specialists with a detailed knowledge BIM engineering and construction principals. The BIM Client Information Manager is accountable for BIM deliveries in both design and construction stages consistently achieve industry leading standards and technologies across the AWS DC portfolio, to enable this the team implements BIM technologies and workflows as well as maintaining a suite a BIM documentation.<br>
<br>
Our team is committed to creating and delivering innovative products to our customers; and are known for being a diverse and upbeat team that is changing the face of Cloud Computing. Amazon&rsquo;s data centres are industry leading examples of innovation in the areas of energy efficiency, cost effectiveness and carbon foot-print reduction. We continue to grow and are looking for team members that can raise the bar, and love to learn. Amazon&rsquo;s work environment is unique in every aspect and offers an exceptional opportunity for qualified candidates.<br>
<br>
Key job responsibilities<br>
You must be able to work independently and work within a team environment to accomplish assigned tasks. This includes working with internal teams as well as external suppliers, consultants, manufacturers, vendors, and contractors. Your duties will include:<br>
<br>
<ul><li>BIM Oversight of all aspects of the Data Center life cycle starting with design, construction, and maintenance of Data Center BIM models.</li><li>Work to establish and maintain a common data environment, along with processes, procedures, and security around the AWS design team&rsquo;s information exchanges.</li><li>Ensure BIM files meet AWS standards and are following the Exchange Information Requirements (EIR) at all times during the project by reviewing consultant BIM documentation, BIM files, coordinate output formats, and validate data quality, collect design documents and files for projects.</li><li>Work on concurrent projects in multiple geographical locations, from design through construction.
</li><li>Assist with establishing and maintaining BIM standards, processes, and workflows as well as Educating and training internal teams in BIM software and procedure.</li><li>Lead discussions in engineering/ construction best practices supporting the wider team by sharing knowledge with a view to establishing new standards.</li></ul><br>
A day in the life<br>
On a normal day you will review project Revit and Navisworks models assessing model development, modeling standards and practices and adherence to the BIM standards and compile your comments on same. You will then meet with the BIM design or construction project team to review your comments and discuss any BIM relevant items on the project. You will also work with our internal Design Services BIM team to communicate project improvements and to innovate. You may also meet with the wider BIM Client Information Manager team to discuss process improvement, document standards, innovations and project challenges.<br>
<br>
About the team<br>
The BIM Client Information Management team highly values working hard, having fun and making history. We strive to ensure the greater sense of team and community that crosses borders and time zones to keep us connected to our core values. You&rsquo;ll join a diverse team of software, hardware, network engineers, supply chain specialists, security experts, operations managers and industry leading BIM specialists. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ year of design/construction experience.</li><li>4+ year working with Revit.</li><li>2+ year working with Navisworks.</li><li>Experience in the establishment and management of BIM &amp; VDC models including orientation, geo-positioning, coordination and the set-up of model reviews.</li><li>Excellent organization skills in archival &amp; maintenance operations of project documents.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in Engineering or Construction.</li><li>Experience directly related to Data Center design and construction.</li><li>Experience and knowledge applying Lean principles to design modeling and drawing production.</li><li>Experience exporting of embedded data and schedules from BIM models to spreadsheets.</li><li>Experience with the following software tools: AutoCAD, Bluebeam, Dynamo, RF Tools, CTC Tools, ACC and Procore.</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 $105,100/year in our lowest geographic market up to $185,000/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>

BIM Client Information Manager, AWS Design Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
As a Site Reliability Engineer, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our Amazon MGM Studios customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
The Studios Technology team supports production personnel (cast and crew) and Studios business teams (production operations, post production, and marketing) and our Media Supply Chain. We work in a team environment and interact with production personnel and studio executives at all levels. Our Infrastructure Engineering team is looking for a Site Reliability Engineers to build, deploy, operate, and sustain our critical infrastructure and systems. The team will operationalize the stability and reliability of these systems and discover innovative ways to scale and operate them reliably as we expand. You will deploy and monitor the systems and automation to ensure that critical infrastructure is operating optimally and implement mechanisms to prevent service impacting incidents. You will utilize trends and metrics to identify opportunities for improvements within existing frameworks, tools and processes to continuously improve systems. Site Reliability Engineers focus on automating infrastructure at scale and using best practice stability and reliability protocols to ensure reliability and repeatability.<br>
<br>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.<br>
<br>
As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
Key job responsibilities<br>
The ideal candidate will have a strong technical background, be detail driven, and have excellent problem-solving abilities. You will be comfortable working in AWS and supporting applications in an AWS context. You will have experience deploying as well as resolving critical issues with developers on production systems. The role will be responsible for systems functionality, performance, and optimizing configurations in collaboration with software development teams. The ideal candidate can demonstrate experience working with AWS, software development, scripting concepts and trouble shooting. It is important that you can earn trust of your peers and stakeholders through your body of work and day to day interactions. This role requires ambition, thinking big, self-motivation, and the ability to thrive in a fast-paced, collaborative, and startup-like environment.<br>
<br>
A day in the life<br>
<ul><li>Expertise with AWS-based products and solutions</li><li>Experience deploying applications at scale in AWS</li><li>Comfortable triaging and resolving production issues.</li><li>Experience designing, developing, deploying Infrastructure as Code (IaC) in an AWS context</li><li>Python development and scripting experience
</li><li>Builds solutions for problems of sizable scope and complexity that have been successfully deployed to customers/users</li><li>Builds and enhances Continuous Integration and Delivery (CI/CD) pipelines within AWS</li></ul><br>
About the team<br>
Our Infrastructure Engineering team builds, deploys, operates, and sustains our critical applications, infrastructure and systems in AWS. You will deploy and monitor the systems, with automation to ensure that critical infrastructure is operating optimally while implementing mechanisms to prevent service impacting incidents. You will utilize trends and metrics to identify and communicate opportunities for improvements within existing frameworks, tools and processes to continuously improve systems.<br>
Engineers are responsible for developing the tools, platforms, and methodologies that deliver performant, resilient, and efficient cloud platforms and architectures. Our engineers touch a wide range of AWS applications and infrastructure components.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience building services using AWS products</li><li>Experience in automating, deploying, and supporting large-scale infrastructure</li><li>Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust</li><li>Experience with Linux/Unix</li><li>Experience with CI/CD pipelines build processes</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with distributed systems at scale</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>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,200/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>

Site Reliability Engineer, Infrastructure Engineering

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