senior data engineer Jobs in San Francisco

senior data engineer

data analyst

senior data scientist Jobs in San Francisco

senior data scientist

software engineer, data platform product Jobs in San Francisco

software engineer, data platform product

data engineer

Plum Inc

<div>PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person&rsquo;s contributions and ideas are critical to the growth of the company.
This is a fully remote position, open to candidates living in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team &mdash; including sales, marketers, and financial services experts &mdash; who stay connected through Slack, video calls, and regular team and company-wide meetings. We&rsquo;re a team that knows how to work hard, have fun, and make a meaningful impact&mdash;both together and individually.<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. The Senior Data Engineer is critical in building the data infrastructure that powers Plum&rsquo;s next-generation AI-driven products.
You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you&rsquo;ll take ownership of architectural decisions, system design, and production readiness&mdash;working with team members to ensure data is reliable, accessible, and impactful.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse.</li>
<li>Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources.</li>
<li>Develop robust data workflows using Python and Databricks Workflows.</li>
<li>Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control.</li>
<li>Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases.</li>
<li>Monitor, troubleshoot, and optimize data workflows in production.</li>
Collaborate with cross-functional teams to translate data needs into scalable solutions. 
<li>
</li></ul>Requirements<ul>
<li>
Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience.</li>
<li>2+ years of experience using Python building and maintaining production-grade data pipelines in a cloud environment.</li>
<li>Proven expertise in Python and SQL for data engineering tasks.</li>
<li>Strong understanding of lakehouse architecture and data modeling concepts.</li>
<li>Experience working with Databricks, Delta Lake, and Apache Spark.</li>
<li>Hands-on experience with AWS cloud infrastructure.</li>
<li>Track record of integrating data from external systems, APIs, and databases.</li>
<li>Strong problem-solving skills and ability to lead through ambiguity.</li>
Excellent communication and documentation habits. 
<li>
</li></ul><h3 class="jobSectionHeader">Preferred Qualifications</h3><ul>
<li>Masters in Computer Science, Engineering, Physics or related field.
</li><li>Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains.</li>
<li>Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models.</li>
<li>Experience using ETL tools such as Fivetran or Airbyte.</li>
<li>Understanding of data governance, security, and compliance best practices.</li>
</ul>
Benefits<ul>
<li>
A fast-paced, collaborative startup culture with high visibility.</li>
<li>Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.</li>
<li>Opportunity to make a meaningful impact in building a company and culture.</li>
<li>Equity in a financial technology startup.</li>
<li>Generous health, dental, and vision coverage for employees and family members + 401K.</li>
<li>Eleven paid holidays and unlimited discretionary vacation days.</li>
<li>Competitive compensation and bonus potential.</li>
</ul>
Interview Process:
Plum is an organization who counts on the contributions and ideas from every member of our team. Our interview process may include a phone screen, a video call and a live project. While we understand one may use AI to develop a resume, we expect you to bring your authentic self during our interviews, and we may disqualify candidates who use bots or AI to contribute to their answers. We are looking for not only skill, but also a desire to learn and thrive with Plum. Please advise us of any accommodations you may need prior to your call and we will do all we can to accomodate you.
<ul><li>We are not accepting outreach or resumes from external recruiters. We are only accepting qualified eligible applicants directly for consideration. Any candidates submitted from agencies or recruiters will be considered a gift.</li></ul></div>

Senior Data Engineer

Uber

<div>About the Role
 
 
The Mobility Simulation &amp; Planning (MSP) Platform team builds the systems that power pricing and incentive budget planning across Uber's global marketplace. As part of this team, you'll help design and scale the core platform that drives billions in marketplace spend decisions, directly influencing rider affordability and driver earnings. You'll collaborate with Product, Science, and Operations to solve complex technical challenges offering you a unique opportunity to grow as a software engineer while making a measurable business impact at global scale. 
- What You Will Do - 
<ul><li>
Partner with Engineering, Product, and Operations to define requirements, design data models, and deliver reliable production solutions.</li><li>
Design and build scalable, efficient data pipelines and frameworks to power large-scale decision systems and model infrastructure .</li><li>
Drive improvements in data quality, reliability, and observability, ensuring data systems scale with Uber's business needs.</li><li>
Lead initiatives to modernize data workflows from data orchestration (Airflow, Temporal) to distributed processing (Spark, Ray etc).</li><li>
Mentor engineers and contribute to establishing best practices for data design, governance, and performance.</li></ul> 
- Basic Qualifications - 
<ul><li>
Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related field</li><li>
4+ years of experience in data engineering or backend development</li><li>
Strong SQL and data modeling skills</li><li>
Hands-on experience with distributed data frameworks (Spark, Flink, Ray, Beam etc)
</li><li>Proficiency in at least one programming language (Python, Go, or Java etc)</li><li>
Experience building scalable ETL pipelines and working with modern data infrastructure (Hive, Presto, BigQuery, Snowflake, etc.)</li></ul> 
- Preferred Qualifications - 
<ul><li>
6+ years of experience designing and operating large-scale data systems in production</li><li>
Deep understanding of data warehousing, system performance, and optimization</li><li>
Proven ability to drive complex projects, influence cross-functional teams, and mentor peers</li><li>
Self-driven and passionate about scalability, automation, and system efficiency</li><li>
Familiarity with workflow orchestration frameworks (eg:- Airflow, Temporal etc) is a plus</li></ul> 
 
 
 
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>

Mochi Health

<div><div>Mochi Health's mission is to be the discovery layer of healthcare. We are building a platform that makes it easier for patients to find the right providers, access the right medications, and take control of their health with transparency and trust.

Over the past few years, we have experienced rapid growth by combining operational excellence, clinical expertise, and innovative technology to deliver care that is more human, intuitive, and effective. From pharmacy pricing transparency and personalized medication management, to long-term medical record access and community-based chronic illness support, Mochi is creating a new model of care that empowers patients, providers, and pharmacies alike.

We believe the future of healthcare is personal, and we are building the technology to power it. At Mochi Health, you will join a team that values inclusivity, collaboration, and bold thinking, and you will have the opportunity to do the most meaningful work of your career.</div>
$250,000 - $300,000 
Full-time / Onsite (5 days/week) 
<h2 class="jobSectionHeader">
About The Role</h2>

We're looking for a Staff Software Engineer, Growth to help accelerate our product's impact by building and optimizing the systems that drive acquisition, activation, retention, and monetization.

You'll be joining a highly collaborative, cross-functional team that works at the intersection of engineering, product, design, and data. This is a high-leverage role where your work will directly shape the company's growth trajectory. Own the engineering work that drives acquisition and lowers CAC: reliable measurement (client + server), durable identity across web/app, fast landing experiences and micro-tools, and the plumbing that enables rapid experiments and trustworthy attribution..

This role is ideal for someone who thrives in fast-moving environments, enjoys wearing multiple hats (frontend, backend, and data), and loves using creativity and rigor to solve ambiguous growth challenges.
<h2 class="jobSectionHeader">
What You'll Do</h2>
<ul><li>Design, build, and ship features across the stack (frontend, backend, and data pipelines) to improve conversion, engagement, and retention.</li>
<li>Maintain and improve server-side event forwarding, and a clean event schema across marketing site and app.</li>
<li>Identity &amp; attribution enablement - Make identity resilient across domains; enforce UTM governance; ensure data needed for rules-based attribution is consistently available.</li>
<li>Work with design to build and iterate high-performance landing pages and lightweight micro-tools that capture intent and convert.</li>
<li>Partner with product, design, and data to identify high-impact opportunities and rapidly test hypotheses through experiments and A/B testing.</li>
</ul><h2 class="jobSectionHeader">Who You Are</h2>
<ul><li>5+ years building production web software with clear business impact.</li>
<li>Full-stack fluency: Strong back-end and infra skills (APIs, auth, cookies, HTTP/CDN) with enough front-end to extend Framer and build/track landing pages.</li>
<li>Instrumentation end-to-end: Event design, tag management, server-side forwarding, experiment wiring.</li>
<li>SEO fundamentals: Core Web Vitals, crawlability/indexing basics, structured data/sitemaps.</li>
<li>Fluent in SQL and Python.</li>
<li>Strong Product sense: Can turn ambiguous growth ideas into minimal, testable releases and ship quickly without trading correctness.</li>
<li>Working familiarity with GTM, ad pixels, and Google Analytics (for integration/QA).</li>
</ul><h2 class="jobSectionHeader">Nice to Haves</h2>
<ul><li>Mobile growth basics: Deep linking, install attribution concepts, and experience wiring webapp journeys.</li>
<li>Experimentation rigor: Knows how to design trustworthy A/B tests (power, guardrails, sequential testing pitfalls).</li>
<li>Attribution literacy: Has shipped or worked closely with multi-touch attribution or MMM, and understands trade-offs of each.</li>
<li>Automation/scale: Has built scripts or APIs to automate campaign hygiene, enforce taxonomy, or streamline data QA.</li>
</ul>
Our Core Technologies Include: Typescript, Javascript, Node.js, Next.js, React, React Native, SQL, Python, Redis, Redux, New Relic, Kubernetes, CSS, AWS, Cypress, Docker, Express
<h2 class="jobSectionHeader">
Life at Mochi</h2>

At Mochi, we believe your best work happens when you feel your best&mdash;so we've designed an environment that fuels your creativity, supports your growth, and makes every day exciting.

 Daily Meals and Espresso Bar - Breakfast, lunch, and dinner every weekday. Our on-site barista keeps the espresso and matcha flowing all day

 Pre-Tax Commuter Perks - Save on transit and parking through pre-tax commuter benefits

 Top-of-Market Compensation - We offer competitive salaries along with generous equity packages so you can share in the success you help create

 Profitable and Rapid Growth - We're scaling fast, with financial discipline and long-term vision. No VC constraints, just sustainable momentum and smart decisions

 High-Impact Work - Help shape the future of digital healthcare. Your work here directly improves lives and scales nationwide

&zwj; World-Class Team - Collaborate with teammates from Tesla, SpaceX, Citadel, Harvard, IIT, and more. We value excellence, humility, and empathy in equal measure

&#10024; Comprehensive Benefits - 401(k) with match, generous time off, life insurance, and high-quality medical, dental, and vision plans

 Mochi Health Membership &ndash; We cover your monthly subscription fee so you can experience the same care as our patients (medications not included)

 Time to Recharge &ndash; Enjoy unlimited PTO, generous company holidays, and true flexibility. We trust you to take the time you need to rest, reset, and thrive

 Wellness First &ndash; From weekly mindfulness sessions to group workouts and fitness perks, your physical and mental health are top priority

 Team Socials and Community - We make time to connect through regular socials, happy hours, and spontaneous events. Our stocked kitchen doesn't hurt either

 Downtown SF HQ - Our San Francisco office is just steps from BART, Muni, and great food. It's designed for deep work and casual collaboration

-

The base salary for this full-time position ranges from $250,000 to $300,000, in addition to equity and benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location.

#LI-Onsite #LI-AK1<div><h3 class="jobSectionHeader">
Workplace Policy</h3>

Mochi Health is an in-person company based in San Francisco, CA. Our team works together in person five days a week to foster collaboration, innovation, and strong connections. We believe that face-to-face interaction builds a culture of excellence and allows us to deliver the best outcomes for the patients and providers we serve.

For office-based roles, the standard schedule is Monday through Friday, 9:00 a.m. to 7:00 p.m. Actual hours may vary depending on business needs and role responsibilities. All employees receive meal and rest breaks in accordance with applicable state and local laws.

For designated remote roles, this in-person policy does not apply.
<h3 class="jobSectionHeader">
Equal Opportunity</h3>

Mochi Health is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.
<h3 class="jobSectionHeader">
Candidate Privacy Notice</h3>

Please review Mochi Health's Candidate Privacy Notice here.
<h3 class="jobSectionHeader">
Accommodations</h3>

Mochi Health complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law.

If you need any assistance or accommodations due to a disability, please contact us at hr@joinmochi.com.</div></div>

Staff Software Engineer - Growth

Deloitte

<div>
 Our Deloitte AI &amp; Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
 
 The Team
 
 
 Our AI &amp; Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
 
 
 Recruiting for this role ends on 11/30/2025.
 
 
 
 Work You'll Do
 
 
 
 As
 
 AI &amp; Data Consultant
 
 , you'll partner with clients to solve complex business challenges and deliver impactful, technology-driven change. You'll guide organizations through their digital transformation journeys, utilizing the latest innovations while supporting a variety of high-impact initiatives, including:
 
 
 <ul>
 <li>
 Evaluate, validate, and optimize Large Language Models (LLMs) in client and internal use cases.
 </li>
 <li>
 Develop software components, automation pipelines, and integrations leveraging your proficiency in Python.
 </li>
 <li>
 Build scalable data solutions on leading cloud platforms, enhancing automation within AI and data engineering projects.
 </li>
 <li>
 Collaborate across teams-product managers, data scientists, engineers, and business stakeholders-to ensure solutions align with client objectives.
 </li>
 <li>
 Apply proven practices developed in fast-paced, start-up environments to help Deloitte's clients accelerate transformation.
 </li>
 <li>
 Continuously expand your technical and domain expertise in AI, data, and cloud technologies.
 </li>
 <li>
 Communicate updates, progress, and outcomes effectively to cross-functional peers and management.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Minimum of 2 years of experience in Python for data analysis and model development.
 </li>
 <li>
 1+ years of experience in LLM (Large Language Model) evaluation.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Azure, GCP), data engineering, and pipeline automation
 </li>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, a related field, or equivalent work experience
 </li>
 <li>
 Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
 </li>
 <li>
 Flexibility to travel: Ability to travel up to 50%, based on client and sector needs
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 2+ years of experience in AI deployment or applied Machine Learning.
 </li>
 <li>
 6 months + experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows (ie: LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph)
 </li>
 <li>
 Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Data Science, or related field.
 </li>
 <li>
 Experience working in regulated industries with an understanding of security, compliance, and responsible AI practices.
 </li>
 <li>
 Hands-on experience with LLMs, vector databases, or generative AI APIs (e.g., OpenAI, Claude, Cohere).
 </li>
 <li>
 Knowledge of MLOps, CI/CD, and model deployment strategies.
 
 
 </li>
 </ul>
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,800 to $171,300.
 
 
 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
 
 
 Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
</div>

AI & Data Consultant

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 Millions of people use Notion &mdash; and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion.
 
 
 The Data Product Platform team is responsible for designing, implementing, scaling and operating systems, tools and frameworks to build data powered product experiences and to enable data driven decisions. You&rsquo;ll join a team of talented engineers in our mission to build the best in class foundational data capabilities that are key to the company&rsquo;s business and product. Notion&rsquo;s data platform and infrastructure are vital to both empowering every team at Notion to make decisions using data and experimentation, and enabling our product features like search, automations, user notifications, workspace analytics and Notion AI.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 You'll own and play a pivotal role in the development of systems, tools and infrastructure that democratize data access and enable analytics capabilities across the organization.
 </li>
 <li>
 You'll work cross-functionally with engineers and partners from the Product, Data Science, Data Engineering and AI teams to deliver short- and long-term impact.
 </li>
 <li>
 You&rsquo;ll work on all levels of the stack including infrastructure, libraries and product code as needed to successfully build and deliver internal platforms that provide high leverage to multiple product teams.
 </li>
 <li>
 You&rsquo;ll help in influencing / executing the roadmap for data infrastructure and systems to power high scale product features using Notion&rsquo;s data.
 </li>
 <li>
 You'll be responsible for monitoring and operating systems in production. You&rsquo;ll understand systems deeply, optimize performance and evolve critical production systems with minimal user disruption.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Passion for systems at scale: You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house). You've experienced the challenges of scaling and re-architecting event-based platforms and infrastructure through orders of magnitude of growth and scaling data volume. You deeply care about performance and cost while delivering value.
 </li>
 <li>
 Knowledge of asynchronous workflow systems. You have worked on systems that execute tasks asynchronously, handle complex workflows, and manage job scheduling. You understand the trade-offs between different orchestration patterns and can design systems that are both reliable and scalable.
 </li>
 <li>
 Adaptable and willingness to learn how things work: you love to learn how the systems you build are used at a fundamental level. You get excited at the idea of leaning into your users&rsquo; world and help make it better.
 </li>
 <li>
 Thoughtful problem-solving &amp; problem-seeking: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. After gaining context, you can identify patterns and scope for improvements.
 </li>
 <li>
 Pragmatic and business-oriented: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff&mdash;you understand the balance between craft, speed, and the bottom line.
 </li>
 <li>
 Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and disagree and commit when needed.
 </li>
 <li>
 Team player: You understand work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You've built out and scaled event-based platforms at a fast-growing startup.
 </li>
 <li>
 You&rsquo;ve had prior experience with asynchronous workflow systems or event-based architecture, using technologies like Kafka and Redis.
 </li>
 <li>
 You&rsquo;ve had past experience working full-stack in Typescript and node.js ecosystem.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $230,000 - $260,000 per year.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
</div>

Software Engineer, Data Platform Product

Product Content Engineer

Decagon

<div>
 
 About Decagon
 
 
 
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
 
 
 Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
 
 
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values&mdash;
 
 customers are everything
 
 ,
 
 relentless momentum
 
 ,
 
 winner&rsquo;s mindset
 
 , and
 
 stronger together
 
 &mdash;shape how we work and grow as a team.
 
 
 
 About The Team
 
 
 
 The
 
 Infrastructure
 
 team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.
 
 
 
 We Organize Around Five Focus Areas
 
 
 
 <ul>
 <li>
 Core Infra: The foundational cloud stack&mdash;networking, compute, storage, security, and infrastructure‑as‑code&mdash;to ensure reliability, scale, and cost efficiency.
 </li>
 <li>
 Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments.
 </li>
 <li>
 ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments.
 </li>
 <li>
 Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.
 </li>
 <li>
 Voice Infra: Telephony/WebRTC stack and observability enabling ultra‑low‑latency, high‑quality voice experiences.
 
 
 </li>
 </ul>
 Our mission is to
 
 deliver magical support experiences
 
 &mdash; AI agents working alongside humans to resolve issues quickly and accurately.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring a Senior Infrastructure Engineer to design, build, and operate production infrastructure for high‑scale, low‑latency systems. You&rsquo;ll own critical services end‑to‑end, improve reliability and performance, and create paved‑paths that let every Decagon engineer ship confidently.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Design and implement critical infrastructure services with strong SLOs, clear runbooks, and actionable telemetry.
 </li>
 <li>
 Partner with research and product teams to architect solutions, set up prototypes, evaluate performance, and scale new features.
 </li>
 <li>
 Tune service latencies: optimize networking paths, apply smart caching/queuing, and tune CPU/memory/I/O for tight p95/p99s.
 </li>
 <li>
 Evolve CI/CD, golden paths, and self‑service tooling to improve developer velocity and safety.
 </li>
 <li>
 Support various deployment architectures for customers with robust observability and upgrade paths.
 </li>
 <li>
 Lead infrastructure‑as‑code (Terraform) and GitOps practices; reduce drift with reusable modules and policy‑as‑code.
 </li>
 <li>
 Participate in on‑call and drive down toil through automation and elimination of recurring issues.
 
 
 </li>
 </ul>
 
 Your background looks something like this
 
 
 
 <ul>
 <li>
 3+ years building and operating production infrastructure at scale.
 </li>
 <li>
 Depth in at least one area across Core/Data/AI‑ML/Platform/Voice, with curiosity to learn the rest.
 </li>
 <li>
 Proven track record meeting high availability and low latency targets (owning SLOs, p95/p99, and load testing).
 </li>
 <li>
 Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and incident response (PagerDuty, SLO/error budgets).
 </li>
 <li>
 Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs.
 
 
 </li>
 </ul>
 
 Even better
 
 
 
 <ul>
 <li>
 Experience being an early backend/platform/infrastructure engineer at another company
 </li>
 <li>
 Strong Kubernetes experience (GKE/EKS/AKS) and experience across multiple cloud providers (GCP, AWS, and Azure)
 </li>
 <li>
 Experience with customer‑managed deployments
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical, dental, and vision
 </li>
 <li>
 Flexible time off
 </li>
 <li>
 Daily lunch/dinner &amp; snacks in the office
 </li>
 </ul>
</div>

Software Engineer, Infrastructure

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