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staff software engineer

Discord

Discord is used by over 200 million people every month for many different reasons, but there&rsquo;s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.We're looking for someone who gets excited about building data infrastructure at massive scale and cares deeply about the gaming communities we serve. Someone with passion for building lovable products for Discord users and Discord engineers. We're building the next generation Data Platform that powers decisions for one of the most vibrant platforms in the world. If you're the kind of Staff Engineer who sees ambiguity as an invitation &mdash; who builds systems that make whole teams faster, shapes technical strategy across the org, and wants your decisions to directly impact millions of gamers worldwide &mdash; we want to talk to you. To learn more about Discord's Data Platform, read our engineering blog, including how we built our modern data stack leveraging open-source tools! This position is based in our San Francisco office. What You'll Be Doing Own the technical direction of major Data Platform initiatives like GRC, scaling, or stream processing, from problem to production system and post-launch health Be a force multiplier: build reusable primitives, unblock teammates, and raise the quality bar across the team Stay a top code contributor. You write real production code while helping others reach the same bar Partner with XFN stakeholders to translate business problems into clear technical strategy Champion debate, decide, and commit and 80/20 thinking to drive robust technical solutions supporting multiple team What you should have 7+ years of software engineering experience with a track record of driving large, ambiguous technical initiatives end-to-end Expertise in distributed systems and data infrastructure at scale. You've anticipated hard problems before they became incidents Demonstrated ability to multiply a team's impact through architectural thought leadership, design reviews, reusable abstractions, and well-timed mentorship Strong technical judgment: when to go fast vs. slow, when to build vs. integrate, and how to bring stakeholders along Cross-functional influence: you've driven alignment across engineering, product, and business without relying on authority Bonus Points Passion for Discord and gaming Experience with data governance, privacy compliance, real-time analytics infrastructure, or cost optimization in large-scale data environments Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.Why Discord?Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord&rsquo;s collection and usage of personal information relating to the application and recruitment process by clickingHERE.

Staff Software Engineer, Data Platform

Okta

<div><p><b>Secure Every Identity, from AI to Human</b><br>
<br>
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.<br>
<br>
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.</p><p>
Okta is the identity standard. The Okta Identity Cloud is an independent and neutral platform that securely connects the right people to the right technologies at the right time. We help organizations do two things - secure and manage their extended enterprise, and transform their customers' experiences. With over 14,000 customers, 7000+ app integrations, and well over 200 million registered users, we are only getting started.</p>
<p>
The Okta Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale.</p>
<p>
We're looking for a staff-level Platform engineer to join a team of highly skilled and talented team players who're proud of what they own and deliver. Our elite team is fast, creative, and flexible; with a weekly release cycle and individual ownership, we expect great things from our engineers and reward them with stimulating new projects, new technologies, and the chance to have significant equity in a company that is changing the cloud computing landscape forever.</p><br>
<p></p>
<p>
You Will</p>
<ul><li>
Core contributor to Okta&rsquo;s FedRAMP initiative</li>
<li>Work with engineering teams to design, develop and deliver cloud-based infrastructure projects on a modern tech stack (Kubernetes/EKS, RDS, DynamoDB, Kinesis, MKS, Redis, OpenSearch, Docker, Terraform on AWS)</li>
<li>Drive evaluation, development, and rollout of new common microservices</li>
<li>Operate, support, and upgrade shared services and frameworks. Scale these as their usage invariably grows along with Okta's business.</li>
<li>Evaluate existing systems to evolve them for serving in specialized circumstances to support Okta's future business needs</li>
<li>Conduct design and code reviews. Ascertain that proposed designs consider scale, redundancy, and multi-tenancy. Ensure high programming standards by writing unit and functional tests.</li>
<li>Monitor, troubleshoot, and fix services and frameworks the team owns</li>
<li>Evaluate system performance and resolve bottlenecks</li>
<li>Provide technical guidance and mentorship to junior developers</li>
<li>Collaborate with architects, QA, product owners, security and operations engineers</li></ul><br>
<p></p>
<p>
You Have</p>
<ul><li>
Immense passion for doing the right thing to help Okta's technology stay ahead of its anticipated business growth</li>
<li>Solid technology chops in architecting, implementing, tuning, and debugging some of the largest cloud deployments in the enterprise world</li>
<li>A good understanding of computer science fundamentals such as data structures and algorithms&rdquo;</li>
<li>Bachelor's degree in computer science or equivalent; master's preferred.</li>
<li>7+ years of extensive programming experience in a modern programming language like Go, Java, or C++ especially in backend services. Go is preferred.</li>
<li> 4+ years experience working with PostgreSQL or equivalent relational database systems. Experience with designing and querying databases with optimization in mind is a plus.</li>
<li> Experience with Cloud fundamental building blocks like IaC, Observability, Secrets Management, CI / CD pipelines, secure coding practices, and compliance.</li>
<li> Demonstrated experience of working with REST and thorough understanding of its fundamentals</li>
<li> Experience with AWS, Redis, Elasticsearch / OpenSearch, Kinesis, Kafka, and Docker</li>
<li> Knowledge of network security, authentication, and authorization</li>
<li> Demonstrably followed best software engineering principles</li>
<li> Familiarity with Agile software development process</li>
</ul><p>
Education: Bachelor's degree in computer science or equivalent</p>
<p><b>
This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.</b></p><br>
<p></p>
<p><b>
Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.</b></p><br>
<p></p>
<p>
#LI-Hybrid</p>
<p>
#LI-LSS1</p>
<p><b>
requisition ID-</b> P24954_3414076</p><p></p><p><br>
Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
</p>The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000&mdash;$267,000 USD<p><b><br>
The Okta Experience</b></p>
<ul><li>
Supporting Your Well-Being</li>
<li>Driving Social Impact</li>
<li>Developing Talent and Fostering Connection + Community</li>
</ul><p>
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.<br>
<br>
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.<br>
<br>
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.<br>
<br>
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please<br>
<br>
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</p></div>
<br><div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div><p>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</p></div></div></div></div><div></div>

Staff Software Engineer - PAM Core

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>San Jose, CA, USA; New York, NY, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>8 years of experience in software development.</li>
<li>3 years of experience in AI/Machine Learning (e.g., deep learning, perception, or computer vision).</li>
<li>Experience in C++, Python, Generative AI, Multimodal Machine Learning.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.<br>
</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction.<br>
</li>
<li>Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.</li>
<li>Experience with multimodal learning, large language models, or AI agents.</li>
<li>Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.</li>
<li>Familiarity with large-scale model training and deployment.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
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.</p>
<p>
The Google XR mission is to make information accessible. The team is working to advance artificial intelligence for wearable computers.</p><div>
In this role, you will conduct development on large language models (LLMs) and agents, particularly in the multimodal domain (vision, audio), focusing on developing AI for XR devices (glasses, goggles). You will contribute to AI research and the development of computing products.</div><p>
For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap &ndash; the convergence of AI and XR. This is more than just new devices &ndash; it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.</p><div><div><div><div>
The US base salary range for this full-time position is $207,000-$300,000 + 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>
</div><div></div><br>
<div>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.</div></div></div></div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Lead the development and optimization of on-device and hybrid multimodal models for XR devices. Utilize techniques to enhance performance and robustness while adhering to strict device power and latency constraints. Write production-quality C++ and Python code.<br>
</li>
<li>Create comprehensive evaluation plans for hybrid systems, from dataset development to defining KPIs that measure both model accuracy and on-device efficiency.<br>
</li>
<li>Identify, implement, and ship the latest modeling innovations, focusing on hybrid agent architectures, orchestration between edge and cloud, multimodality, tool integrations, and personalization.<br>
</li>
<li><div><div>Prove out concepts for on-device AI features through rapid prototyping and iterative development, facilitating team testing in close partnership with XR product teams.</div></div></li>
<li><div><div><div>Work closely with research scientists, engineers, and product teams to drive the technical roadmap. Foster a collaborative environment and share findings through conference publications while contributing to product launches.</div></div></div></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>

Staff Software Engineer, On-Device Hybrid Multimodal AI

SoFi

<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're changing the way people think about and interact with personal finance.</p>
<p>
We'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're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people'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'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'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'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'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">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>

Sr Software Engineer, Data Foundations

Stripe

<div>
 <strong>
  About Bridge
  <br/>
  <br/>
 </strong>
 We&rsquo;re creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster / cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward.
 <br/>
 <br/>
 We have a small team of people who have previously built financial infrastructure at some of the world&rsquo;s leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb) and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an early member of the Bridge engineering team, you will be given the autonomy to work on projects that are truly global in scale and aim to give customers access to products they've never had access to. Many of the use cases that we work on today didn't exist several months ago and that's because our team is dedicated to constant improvement for our partners and end users. Our Engineers have outsized ownership over projects so if you are looking for increased autonomy working on a completely greenfield opportunity, Bridge is the place for you.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ship software to build out our suite of API products. We&rsquo;re an engineering and API-first company, and you will learn first-hand and contribute towards building highly reliable, performant, and mission critical infrastructure serving thousands of developers across the globe.
  </li>
  <li>
   Take sole ownership of projects, oftentimes without the support of Product Management, and liaise both internally with teams like Legal/Compliance and externally with our partners and developers.
  </li>
  <li>
   Look for constant improvements to our product offerings with the explicit goal of improving the experience for our partners and end users.
  </li>
  <li>
   Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation.
  </li>
  <li>
   Improve engineering standards, tooling and processes for the team and our broader org.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We are open to hiring engineers at various levels of seniority (SWE through Senior Staff) but at a minimum we are looking for somebody with 5+ years of experience.
  </li>
  <li>
   Experience building backend systems with SQL databases. Experience with frameworks such as Rails, Django, Express or equivalent is a bonus.
  </li>
  <li>
   An enlarged sense of ownership and the ability to lead and influence the design and direction of our products.
  </li>
  <li>
   An ability to thrive in a fast paced environment.
  </li>
  <li>
   A growth mindset and a constant curiosity and fearlessness to dive into the unknown.
  </li>
  <li>
   An ability to write maintainable, well-tested, modular code, but also be pragmatic about moving fast.
  </li>
  <li>
   Excellent written and verbal communication skills, including the ability to write clear technical documentation.
  </li>
  <li>
   Past experience working on crypto or financial products a plus, and while not required, we do look for people who are very passionate about building in this space.
  </li>
  <li>
   Experience with building API products a plus, but not required.
  </li>
  <li>
   Experience working with blockchain or distributed systems a big plus
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 In-office expectations
 <br/>
 <br/>
 Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
 <br/>
 <br/>
 Pay and benefits
 <br/>
 <br/>
 The annual US base salary range for this role is $190,400 - $285,600. For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate&rsquo;s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
 <br/>
 <br/>
 Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
</div>


Software Engineer, Bridge

Zocdoc

<div><div><p><b>Our Mission</b></p><br>
<p>
Healthcare should work for patients, but it doesn't. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.</p><br>
<p></p>
<p>
Zocdoc's mission is to give power to the patient. To do that, we've built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.</p><br>
<p></p>
<p>
We're 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.</p></div><p></p><p><b><br>
Your Impact on our Mission:</b></p>
<p>
We're hiring a Staff Data Platform Engineer to define and lead the evolution of Zocdoc's data platform at the intersection of data engineering and product engineering.</p>
<p>
This role owns how data moves into, across, and out of our lakehouse and warehouse ecosystems. You'll shape the contracts, access patterns, APIs, governance controls, and interoperability standards that enable teams to reliably produce and consume data at scale.</p>
<p>
Unlike a traditional data engineering role, this position is focused on platform experience and data product design &mdash; building the frameworks, contracts, and service interfaces that make data trustworthy, compliant, and easy to use across both technical and non-technical stakeholders.</p>
<p>
You will define how:</p>
<ul>
<li>Product teams publish high-quality, validated data into the platform</li>
<li>Analytics and ML teams consume governed datasets with confidence</li>
<li>Reverse ETL and activation patterns safely operationalize data back into product systems</li>
<li>Access control, compliance, and governance are embedded into platform design by default</li>
</ul>
<p>This is a highly cross-functional leadership role requiring deep data engineering expertise, strong product thinking, and the ability to influence standards across the organization.</p>
<p><b>
You'll enjoy this role if you are&hellip;</b></p>
<ul>
<li>Passionate about designing data contracts and producer/consumer interfaces, not just pipelines.</li>
<li>Excited to build APIs, SDKs, and shared packages that product engineers adopt.</li>
<li>Motivated to define clear access patterns across warehouse, lakehouse, and downstream systems.</li>
<li>Energized by solving governance, schema evolution, and compliance challenges at scale.</li>
<li>Comfortable setting long-term architectural direction while still diving into implementation details.</li>
<li>Experienced in building a data product used broadly across both technical and non-technical stakeholders.</li>
<li>Excited about leveraging AI-assisted and agentic workflows to multiply engineering productivity.</li>
<li>Thoughtful about the guardrails, access controls, and governance required when enabling GenAI systems to interact with sensitive data.</li>
</ul>
<p><b>Your day to day is&hellip;</b></p>
<ul>
<li>Defining and evolving data contract standards across the company, including schema enforcement, versioning, and validation patterns.</li>
<li>Designing interoperable ingestion and publishing frameworks that enable upstream producers (e.g., product engineering teams) to integrate seamlessly with the data platform.</li>
<li>Building and standardizing APIs, libraries, or SDKs that simplify event logging, schema validation, and contract compliance.</li>
<li>Establishing best practices for schema registry usage and distributed schema validation across streaming and batch systems (e.g., Kafka-based systems).</li>
<li>Designing clear patterns for:</li>
<li><ul><li>When to use the data lake vs. the warehouse</li>
<li>How curated layers are exposed</li>
<li>How downstream consumers access data safely</li>
</ul></li><li>Leading reverse ETL and activation architecture to support operational use cases.</li>
<li>Defining and enforcing access control, governance, and compliance standards (e.g., PHI/PII handling, DEID boundaries, RBAC).</li>
<li>Partnering with Product Engineering, Security, Compliance, Analytics Engineering, and Infrastructure to align on standards and long-term direction.</li>
<li>Mentoring engineers and influencing engineering culture around data quality, ownership, and contracts.</li>
<li>Driving adoption of AI-assisted development practices (e.g., cloud-based coding environments, internal AI tooling, or agentic workflows) to accelerate platform delivery.</li>
<li>Designing guardrails for AI access to data systems, including scoped permissions, auditing, and compliance-aware controls.</li>
<li>Partnering with product and AI teams to ensure our data contracts, schemas, and curated layers are AI-consumable and safe by default.</li>
<li>Evaluating how internal data platform assets can power AI use cases and intelligent automation across the company.</li>
</ul>
<p><b>You'll be successful in this role if you have&hellip;
</b></p><ul><li>8+ years of experience in data engineering, platform engineering, or backend platform development.</li>
<li>Demonstrated experience designing data contracts, schema governance, or producer/consumer standards at scale.</li>
<li>Strong expertise in Python and SQL, with hands-on experience building scalable data frameworks.</li>
<li>Experience with distributed data systems such as Spark (Databricks or EMR) and modern lakehouse architectures (Delta Lake / Iceberg).</li>
<li>Experience with data warehouses such as Snowflake and strong understanding of performance and access patterns.</li>
<li>Familiarity with schema registry systems and schema evolution in streaming systems (e.g., Kafka).</li>
<li>Experience building APIs, shared libraries, or platform services adopted by multiple teams.</li>
<li>Strong understanding of access control, RBAC, and compliance constraints in regulated environments.</li>
<li>Proven ability to lead cross-functional architectural initiatives across product, analytics, and infrastructure teams.</li>
<li>Clear communication skills and a track record of influencing standards across an organization.</li>
<li>Experience working with AI-assisted development tools or cloud-based coding environments (e.g., Claude Code, Codex, Cursor, internal code generation frameworks, or similar systems).</li>
<li>Strong understanding of governance considerations for GenAI systems, including access control, prompt safety, sensitive data handling, and auditability.</li>
<li>Perspective on how structured data models and contracts improve AI reliability and downstream automation.</li>
</ul>
<p><b>Bonus if you have&hellip;</b></p>
<ul>
<li>Experience designing reverse ETL frameworks or operational activation pipelines.</li>
<li>Familiarity with metadata and governance platforms (e.g., Unity Catalog, Collibra, OpenMetadata).</li>
<li>Experience building internal developer platforms for event logging or data publishing.</li>
<li>Experience working in regulated environments involving PHI/PII.</li>
<li>Experience integrating streaming systems (Kafka/Kinesis) with warehouse and lakehouse ecosystems.</li></ul><br>
<p></p>
<p><b>
Benefits</b></p>
<ul>
<li>Flexible, hybrid work environment at our convenient Soho location</li>
<li>Unlimited Vacation</li>
<li>100% paid employee health benefit options (including medical, dental, and vision)</li>
<li>Commuter Benefits</li>
<li>401(k) with employer funded match</li>
<li>Corporate wellness program with Wellhub</li>
<li>Sabbatical leave (for employees with 5+ years of service)</li>
<li>Competitive paid parental leave and fertility/family planning reimbursement</li>
<li>Cell phone reimbursement</li>
<li>Catered lunch everyday along with beverages and snacks</li>
<li>Employee Resource Groups and ZocClubs to promote shared community and belonging</li>
<li>Great Place to Work Certified</li></ul><p></p><div><p><b><br>
About us</b><br>
Zocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world's leading investors, and we believe we're still only scratching the surface of what we plan to accomplish.</p><br>
<p>
Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - <i>Together, Not Alone</i>, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We're an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.<br>
<br>
Job Applicant Privacy Notice</p></div></div><p></p>

Staff Data Platform Engineer

Amaris Consulting

Job description
<br><br>
The Opportunity
<br><br>
Amaris Consulting is looking for a Software / Machine Learning Engineer to join a world-class engineering team working on cutting-edge autonomous and operator-assist systems. You will contribute to building production-grade autonomy software, from perception and computer vision to real-time decision-making; on both robotic and manned platforms. A high-impact role at the intersection of AI, robotics, and safety-critical systems.
<br><br>
Your Key Responsibilities
<br><br>
Design, implement and test algorithms for autonomy and advanced operator-assist systems
<br>Develop and maintain production-quality C++ and Python code for autonomy features
<br>Collect, process and analyze data from robotic and manned platforms to improve ML models and system performance
<br>Participate in the full software development lifecycle using Agile practices
<br>Contribute to architecture decisions, design reviews, code reviews and technical documentation, including design specs, test plans and safety procedures
<br><br>
Skills And Attributes For Success
<br><br>
Solid AI / ML / Deep Learning background applied to autonomy or operator-assist systems
<br>Strong experience in computer vision — image processing, object detection, tracking, scene understanding
<br>Hands-on experience with TensorFlow and/or PyTorch, and OpenCV for perception and sensor data processing
<br>Proficiency in C++ and Python for production-grade software development
<br>Extensive experience with Agile SDLC using Azure DevOps or Jira
<br>Comfortable with cloud compute and storage; AWS EC2, S3, Batch, for training, testing and deployment workflows
<br>Experience developing, integrating and testing complex autonomy software under safety and timing constraints
<br>Degree in Computer Science, Engineering, Robotics or a related field
<br><br>
Ideally, You'll Also
<br><br>
Have familiarity with ROS or AIS for robotics software development
<br>Have experience with NVIDIA hardware for accelerated ML workloads
<br>Be comfortable working across multiple subsystems and debugging complex cross-system issues
<br>Have exposure to safety-critical software development standards and practices
<br><br>
What We Look For
<br><br>
A curious and rigorous engineer who thrives at the intersection of AI research and real-world deployment. You write clean, reliable code, take ownership of your work end to end, and communicate clearly across robotics, systems and product teams. You are energized by hard problems and motivated by seeing your algorithms perform in the real world, not just on paper.
<br><br>
Why choose us
<br><br>
An international community bringing together more than 110 different nationalities
<br><b>An environment where trust is central:</b> 70% of our leaders started their careers at the entry level
<br>A strong training system with our internal Academy and more than 250 modules available
<br>A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)
<br><br>
Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
<br><br>
Who are we?
<br>Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
<br><br>
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
<br><br>
<b>Brief Call:</b> Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
<br><br>
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
<br><br>
<b>Case study:</b> Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
<br><br>
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
<br>We look forward to meeting you!

Software / Machine Learning Engineer - Autonomous Systems

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