software engineer

Software Engineer, Machine Learning

SoFi

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Description</b></h3>
<div><i>Position at SoFi</i>
</div><div><div><p><b>Employee Applicant Privacy Notice</b></p>
<p><b>
Who we are:</b></p>
<div>
<p>Shape a brighter financial future with us.</p>
<p>
Together with our members, we&rsquo;re changing the way people think about and interact with personal finance.</p>
<p>
We&rsquo;re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we&rsquo;re at the forefront. We&rsquo;re proud to come to work every day knowing that what we do has a direct impact on people&rsquo;s lives, with our core values guiding us every step of the way. <b>Join us to invest in yourself, your career, and the financial world.</b></p>
</div></div><p><b>
The Role</b></p>
<p>
Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform.</p>
<p>
Data Foundations leads the path on building the central platform-level foundation and infrastructure that powers SoFi's entire data ecosystem. Their scope spans Infrastructure &amp; Core Primitives and Platform Operations &mdash; essentially the backbone that enables all data capabilities across the organization. Key qualifications of this role include:</p>
<ul>
<li>Leading the technical evolution of one or more key platform subsystems.</li>
<li>Resolving problems in the platform design and implementation that weren&rsquo;t clearly anticipated, taking requirements with ambiguity and proposing durable technical solutions.</li>
<li>Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.</li>
<li>Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.</li>
<li>Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.</li>
<li>The ability to create clear design and operational documentation.</li>
<li>Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.</li>
</ul>
<p><b>What You&rsquo;ll Do</b></p>
<p>
As an emerging leader within our team, you will focus on building out the backend services for our next-generation Lending Platform. This role involves full product lifecycle engagement, from initial concept to deployment. Key responsibilities include implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services. Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.</p>
<p><b>
What You&rsquo;ll Need</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science, or Software Engineering</li>
<li>3+ years as a professional, full-time Software Engineer, or similar relevant work experience.</li>
<li>Proficient coding in Java, Kotlin, or other similar object-oriented programming language.</li>
<li>Proficient working with GIT and related CI/CD systems.</li>
<li>Experience with public cloud compute, storage, and infrastructure.</li>
<li>Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.</li>
<li>Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.</li>
<li>Deep understanding of relational and document database fundamentals.</li>
<li>Deep understanding of fundamental distributed systems concepts.</li>
</ul>
<p><b>Nice To Have</b></p>
<ul>
<li>Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).</li>
<li>Experience with microservices design principles and architecture.</li>
<li>Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).</li>
</ul>
<p>We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.</p><div><div><b>
Compensation and Benefits</b></div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate&rsquo;s experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our <b>Benefits at SoFi</b><b> </b>page!</div>
<h5 class="jobSectionHeader"><div><div>Pay range: $128,000.00 - $240,000.00</div><div>
Payment frequency: Annual</div><div>
This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.</div></div><br>
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email <b>accommodations@sofi.com.</b></h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div><b>Internal Employees</b></div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div></div></div></div><div></div>

Sr Software Engineer, Data Foundations

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Description</b></h3>
<div><i>Position at SoFi</i>
</div><div><div><p><b>Employee Applicant Privacy Notice</b></p>
<p><b>
Who we are:</b></p>
<div>
<p>Shape a brighter financial future with us.</p>
<p>
Together with our members, we&rsquo;re changing the way people think about and interact with personal finance.</p>
<p>
We&rsquo;re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we&rsquo;re at the forefront. We&rsquo;re proud to come to work every day knowing that what we do has a direct impact on people&rsquo;s lives, with our core values guiding us every step of the way. <b>Join us to invest in yourself, your career, and the financial world.</b></p>
</div></div><p><b>
The Role</b></p>
<p>
Join us in revolutionizing the financial landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform.</p>
<p>
Data Trust org leads the path for building platform services, and governance initiatives &mdash; from integrating diverse data sources into governance tools to evolving the foundational architecture that supports SoFi&rsquo;s long-term growth</p>
<p>
Data Trust&rsquo;s charter includes</p>
<ul>
<li>Development and management of the Unified Data Catalog and Discovery Tools</li>
<li>Ownership and other metadata associated with the Catalog</li>
<li>Lineage and retention policies</li>
<li>Data Quality Strategy and Standardization (Tiered Ownership, SLOs)</li>
<li>Enforce regulatory compliance and privacy across data</li>
<li>Data Governance enforcement and tooling (Data Contracts, RBAC mechanisms).</li>
<li>Building self-service tools for Data Owners and Data Engineers.</li>
</ul>
<p><b>What You&rsquo;ll Do</b></p>
<p>
As an emerging leader within our team, you will focus on building out the backend services for our next-generation metadata architecture. This role involves full product lifecycle engagement, from initial concept to deployment.</p>
<p>
Key responsibilities for this role include:</p>
<ul>
<li>Implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services.</li>
<li>Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.</li>
<li>Leading the technical evolution of one or more key platform subsystems.</li>
<li>Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.</li>
<li>Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.</li>
<li>Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.</li>
<li>The ability to create clear design and operational documentation.</li>
<li>Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.</li>
</ul>
<p><b>What You&rsquo;ll Need</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science, or Software Engineering</li>
<li>3+ years as a professional, full-time Software Engineer, or similar relevant work experience.</li>
<li>Proficient coding in Java, Kotlin, Python or other similar object-oriented programming language.</li>
<li>Proficient working with GIT and related CI/CD systems.</li>
<li>Experience with public cloud compute, storage, and infrastructure.</li>
<li>Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.</li>
<li>Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.</li>
<li>Deep understanding of relational and document database fundamentals.</li>
<li>Deep understanding of fundamental distributed systems concepts.</li>
</ul>
<p><b>Nice To Have</b></p>
<ul>
<li>Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).</li>
<li>Experience with microservices design principles and architecture.</li>
<li>Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).</li>
<li>Experience working with Data Platforms</li>
</ul>
<p>We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.</p><div><div><b>
Compensation and Benefits</b></div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate&rsquo;s experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our <b>Benefits at SoFi</b><b> </b>page!</div>
<h5 class="jobSectionHeader"><div><div>Pay range: $128,000.00 - $240,000.00</div><div>
Payment frequency: Annual</div><div>
This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.</div></div><br>
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email <b>accommodations@sofi.com.</b></h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div><b>Internal Employees</b></div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div></div></div></div><div></div>

Senior Software Engineer, Data Trust

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
This is an opportunity to join one of AWS's most foundational and high-impact engineering teams &mdash; the In-Memory datastore team, part of Amazon ElastiCache. We build the next-generation, high-performance in-memory distributed data storage platform that powers some of the world's most demanding real-time applications. Our work sits at the intersection of distributed systems, database internals, and cloud-scale infrastructure, and it directly shapes how millions of AWS customers build low-latency, high-throughput applications.<br>
<br>
If you've ever found yourself deep in a conversation about CAP theorem, consistent hashing, Raft, Paxos, or gossip protocols &mdash; and you want to apply those ideas to real-world systems at massive scale &mdash; this team is where you belong. We are the engineers behind the acclaimed Amazon Dynamo paper, and we continue to push the boundaries of what NoSQL systems can do. We're not just building a cache; we're building a durable, highly available, and scalable in-memory database platform that bridges the best of RDBMS and NoSQL worlds.<br>
<br>
Key job responsibilities<br>
As a Software Development Engineer on this team, you will take on broad ownership across the full lifecycle of our platform. Your core responsibilities will include:<br>
<br>
<ul><li>Designing and building the next-generation in-memory NoSQL database platform, enabling developers to create highly available, scalable, and high-performance applications at unprecedented scale.</li><li>Leading software development of large-scale distributed in-memory storage systems, primarily in Java and C/C++, leveraging open-source technologies such as Redis and Memcached alongside Amazon-proprietary technologies.</li><li>Developing and operating HTTP/REST services, asynchronous messaging systems, and event-driven architectures that form the backbone of our platform.</li><li>Building and improving real-time failure detection and auto-remediation systems capable of detecting node failures in large distributed clusters and initiating recovery within seconds.</li><li>Driving horizontal and vertical scaling capabilities, management and monitoring plane workflows, fault tolerance mechanisms, and backup and restore technologies.</li><li>Contributing to disaster recovery and prevention strategies to ensure the highest levels of availability and durability for our customers.</li><li>Mentoring and growing junior engineers on the team, serving as a technical leader and role model for engineering best practices.</li><li>Managing individual project priorities, deadlines, and deliverables with a high degree of autonomy and accountability.</li></ul><br>
A day in the life<br>
Day-to-day, you can expect a dynamic mix of deep technical work and collaborative engineering. A typical week might look like:<br>
<br>
Writing and reviewing production-quality code in Java or C/C++ for distributed storage components, scaling systems for monitoring plane owned services.<br>
Participating in design reviews and architecture discussions, where you'll debate tradeoffs around consistency, availability, and partition tolerance &mdash; and then go build the solution.<br>
<br>
Collaborating with peer engineers across the team to debug complex distributed systems issues, analyze failure patterns, and drive root cause analysis.<br>
Working closely with the monitoring plane and operations team to improve observability, tune auto-remediation workflows, and reduce mean time to recovery.<br>
<br>
Engaging with product and customer service teams to understand real-world use cases &mdash; from IoT and mobile applications to large-scale analytics &mdash; and translating those needs into platform capabilities.<br>
Mentoring junior engineers through code reviews, design feedback, and pairing sessions, helping them grow their technical skills and Amazon engineering judgment.<br>
<br>
Contributing to the team's operational excellence by participating in on-call rotations and driving improvements to system reliability and operational tooling.<br>
<br>
About the team<br>
The In-Memory Storage Platform team is a passionate group of engineers who thrive on solving hard distributed systems problems. We are a collaborative, intellectually curious team that values technical depth, ownership, and a bias for action. Our charter is Amazon ElastiCache &mdash; an AWS service that enables customers to deploy, manage, and massively scale in-memory distributed data stores using open-source technologies like Redis and Memcached.<br>
<br>
Our customers include some of the world's fastest-growing startups and enterprises, all relying on ElastiCache to build ultra-low-latency, high-throughput data layers. We are deeply invested in open-source software and actively contribute to the broader NoSQL ecosystem. As a team, we believe in growing together &mdash; senior engineers are directly involved in mentoring and developing junior engineers, and we take pride in building a culture of technical excellence and continuous learning.<br>
<br>
About AWS
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
<br>
<br>
Inclusive Team Culture Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
<br>
<br>
Mentorship &amp; Career Growth We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><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>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</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></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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, ElastiCache

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Want to help drive the success of Machine Learning technologies at AWS? We seek a Software Development Engineer II for the ML Infrastructure team to build the platforms that guarantee top performance of AWS ML and HPC technologies. Our performance data directly influences launch<br>
decisions for new EC2 instance types and has visibility at senior leadership.<br>
<br>
Join us as we expand the AWS offerings for AI, including Trainium, Neuron and the Elastic Fabric Adapter (EFA). You'll build CI/CD systems, orchestrate GPU clusters, create performance dashboards, and develop AI-powered automation - all to ensure latest ML networking software ships with confidence.<br>
<br>
Key job responsibilities<br>
Build and maintain infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale across multiple GPU instance types. Use Jenkins, internal Amazon CI/CD tools, Linux, and public AWS products to automate testing and delivery of ML networking libraries - including collective communication frameworks, network transport layers, and GPU communication libraries. Write Python code that orchestrates large clusters, runs benchmarks and ML applications across a matrix of instance types, operating systems, and<br>
software stack versions. Use AWS Managed Grafana and Athena to digest performance data and build dashboards that catch functional and performance regressions before they reach customers. Build automation using LLMs to analyze test failures and surface actionable insights to developers. Contribute to cross-team readiness for new instance type launches by delivering performance data that shapes go/no-go decisions. Manage the complexity of infrastructure covering many instance types, software stacks, Linux operating systems, and latest releases
<br>
and make it easy to evolve.<br>
<br>
A day in the life<br>
You write Python to orchestrate test workloads across large GPU clusters and TypeScript with CDK to ensure all infrastructure is code, reviewed and committed to automated pipelines. You manage shared development clusters using SLURM and AWS ParallelCluster, supporting multiple teams while keeping costs down. You build automation that analyzes nightly test results and surfaces regressions to developers. You write crisp designs for your projects, communicating clearly to your peers what you will build and why.<br>
<br>
About the team<br>
We are part of Annapurna Labs, a subsidiary in AWS that builds software and hardware that make ML on EC2 work. Our organization is a dedicated group of innovators that have invented new networks, new silicon, new software suites, and combined those to entice customers to move immense ML and HPC workloads to the cloud. The ML Infrastructure team is laser focused on making AWS the best and most cost-effective place for customers to do AI at scale. Our work directly enables the launch of new GPU instance types.</p><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></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 working with Linux</li><li>Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS</li><li>Experience coding in Python</li><li>Experience with TypeScript and AWS CDK for infrastructure as code</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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually<br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, ML Infrastructure Team

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Alexa+ is Amazon's next-generation AI-powered personal assistant, built on large language models to deliver natural, conversational, and context-aware experiences for hundreds of millions of customers worldwide. We are building new services and experiences for Alexa+ customers from the ground up, and we're looking for experienced, generative AI-savvy Software Development Engineers to join us.<br>
<br>
In this role, you will design, build, and operate Tier-1 cloud services that enable real-time experiences with hundreds of millions of devices and customers. You'll partner with engineers across Alexa+ to tackle complex technical challenges, drive innovation, and deliver experiences that redefine what a personal assistant can do.<br>
<br>
Why You'll Love It Here<br>
<ul><li>Unprecedented technical challenges: You'll work on problems at a scale and complexity few teams encounter. We don't just build AI products; we use generative AI extensively in our own engineering practices, keeping you at the forefront of the field.</li><li>Motivated, collaborative team: Join a team of passionate engineers who support each other, share knowledge freely, and celebrate wins together.</li><li>Greenfield opportunity: We're building from the ground up, giving you the chance to shape architecture, tooling, and culture from day one.</li><li>World-changing impact: Your work will directly shape how hundreds of millions of customers interact with their personal assistant every day.</li></ul><br>
Key job responsibilities<br>
<ul><li>Design and implement highly available, scalable cloud services in Rust and Java</li><li>Build and operate Tier-1 services at massive scale</li><li>Solve novel and complex distributed systems challenges &mdash; from low-latency communication to fault-tolerant architectures</li><li>Leverage generative AI extensively in your day-to-day development workflow to accelerate delivery and improve code quality</li><li>Collaborate with cross-functional engineering teams across Alexa+ to define technical direction and deliver customer-facing features</li><li>Contribute to a culture of operational excellence, including on-call support, monitoring, and continuous improvement</li></ul></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 foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</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></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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Alexa Connected Devices

Headspace

<div><p><b>About the </b><b>Senior Data Engineer</b><b> at Headspace:</b></p>
<p><i>
As a Senior Data Engineer at Headspace, you will help build the modern data platform that powers personalized, ethical, and scalable mental health support for millions of members. In this role, you will design and implement robust data pipelines, partner closely with analytics, data science, and engineering teams, and help create a secure, compliant, and privacy-focused data foundation. This is an opportunity to do high-impact work at the intersection of data, innovation, and mission&mdash;enabling smarter decisions, better member experiences, and the future of personalized mental health care.
</i></p><p><b>What you will do:</b></p>
<ul>
<li>Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization's data lake</li>
<li>Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry's stringent requirements</li>
<li>Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics</li>
<li>Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation</li>
<li>Support peers and champion a culture that values data as a strategic asset across the organization</li>
</ul>
<p><b>What you will bring</b>:</p>
<p><b>
Required Skills:</b></p>
<ul>
<li>4+ years of proven success designing and implementing large-scale data systems</li>
<li>Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic)</li>
<li>Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques</li>
<li>Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake</li>
<li>Demonstrated expertise in architectural patterns for building high-volume ETL pipelines</li>
<li>Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation</li>
<li>Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration</li>
<li>BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li>
</ul>
<p><b>Preferred Skills:</b></p>
<ul>
<li>Experience in deployment and infrastructure management using Terraform is a plus</li>
<li>Prior experience implementing governance, privacy, and security frameworks across a data platform</li>
<li>Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data</li>
<li>Experience migrating or working with DBT for transformations, documentation, and lineage tracking</li>
<li>Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement</li>
</ul>
<p><b>Location: This role is open to candidates across the US, with preferred locations in San Francisco, CA (hybrid), New York City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US full-time.</b></p>
<p><i>
If your primary residence is in the greater San Francisco Bay Area, this role follows our hybrid model, with 3 days per week in office to support in-person collaboration. Your recruiter will share more details.</i></p>
<p><b>
Pay &amp; Benefits</b>:</p>
<p>
The anticipated new hire base salary range for this full-time position is <b>$122,400-170,000</b> + equity + benefits.</p>
<p><i>
For candidates based in San Francisco, New York City, or Seattle, a separate salary range of $156,400-$195,500 applies, consistent with our location-based compensation philosophy.</i></p>
<p>
Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.<br>
<i>Your recruiter will provide more details on the specific salary range for your location during the hiring process.</i></p>
<p>
At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.</p>
<p><b>
About Headspace</b></p>
<p>
Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it.</p>
<p>
At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: <b>Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage.</b> These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team&mdash;one that's redefining how mental health care supports people today and for generations to come.</p>
<p><b>
Why You'll Love Working Here:</b></p>
<ul>
<li>A mission that matters&mdash;with impact you can see and feel</li>
<li>A culture that's collaborative, inclusive, and grounded in our values</li>
<li>The chance to shape what mental health care looks like next</li>
<li>Competitive pay and benefits that support your whole self</li>
</ul>
<p><b>How we feel about Diversity, Equity, Inclusion and Belonging:</b></p>
<p>
Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse &amp; inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.</p>
<p>
As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.</p>
<ul><li><i>Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. </i><b><i>Please inform our Talent team by filling out </i></b><b><i>this form</i></b><b><i> if you need any assistance completing any forms or to otherwise participate in the application or interview process.</i></b></li></ul>
<p></p>
<p><i>Headspace participates in the </i><i>E-Verify Program</i><i>.</i></p>
<p><b><i>
Privacy Statement</i></b></p>
<p><i>
All member records are protected according to our</i><i> </i><i>Privacy Policy</i><i>. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship&mdash;including, for example, a managerial relationship.
</i></p><p><i>As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.</i></p>
<p><i>
Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.</i></p>
<p>
For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice</p></div>

Senior Data Engineer

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