application security engineer, ai security

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ai security engineer Jobs in San Francisco

ai security engineer

application security engineer, ai security Jobs in San Francisco

software engineer platform

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 Plaid&rsquo;s Platform Engineering organization comprises multiple teams focused on core infrastructure, data platforms, storage, privacy, and developer efficiency. Together, these teams ensure that Plaid&rsquo;s technology platform is scalable, reliable, and secure to support our rapid growth. Our infrastructure handles millions of requests per day, and we pride ourselves on maintaining highly robust and performant systems. As a Platform Engineer, you will design, build, and maintain the foundational infrastructure and internal platforms that empower all of Plaid&rsquo;s engineering teams to move quickly and safely. You&rsquo;ll work cross-functionally with product engineering squads to ship new features and ensure operational excellence throughout each product&rsquo;s lifecycle.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design &amp; Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability. You will create and evolve distributed backend systems that serve as the bedrock for products used by millions of users.
 </li>
 <li>
 Infrastructure &amp; Data Platforms: Develop and improve infrastructure for data storage and processing &ndash; for example, high-performance databases and modern data processing frameworks &ndash; to handle Plaid&rsquo;s growing data and product needs. Ensure our data infrastructure is robust and can scale effectively.
 </li>
 <li>
 Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency. This includes building CI/CD pipelines, observability and monitoring systems, and self-service infrastructure platforms that enable teams to ship code quickly and safely.
 </li>
 <li>
 Security &amp; Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms (e.g. data encryption, access controls, audit logging) to protect sensitive financial data. Work closely with Security and Privacy teams to ensure our infrastructure and internal services meet high standards for data protection and regulatory compliance.
 </li>
 <li>
 Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities. Facilitate smooth integration of platform solutions into various products, and coordinate across teams to resolve issues and deliver new features efficiently.
 </li>
 <li>
 Technical Excellence &amp; Leadership: Uphold high engineering standards through code reviews, testing, and documentation. Take initiative in setting technical direction and architecture for platform systems, and mentor junior engineers to help grow their skills. You will lead by example in driving best practices and continuously improving the quality of our engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: 2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms. Experience designing and scaling distributed systems is highly desired.
 </li>
 <li>
 Strong Coding Skills: Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++). Our core services are built largely in Go, so experience with Go is a plus. You write clean, efficient, and maintainable code and have solid computer science fundamentals.
 </li>
 <li>
 Distributed Systems &amp; Problem Solving: Deep understanding of system design and algorithms. Hands-on experience with designing, building, and operating distributed systems or microservices architectures at scale. Ability to debug complex issues in a production environment and optimize system performance and reliability.
 </li>
 <li>
 Data and Databases: Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB) and data storage architectures. Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.) is a plus.
 </li>
 <li>
 Collaboration &amp; Communication: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional environment. You can collaborate closely with other engineers, product managers, and stakeholders, and you&rsquo;re able to explain complex technical concepts in simple terms when needed.
 
 
 </li>
 </ul>
 $176,400 - $243,600 a year
 
 
 The target base salary for this position ranges from $176,400/year to $243,600/year in Zone 1. The target base salary will vary based on the job's location.
 
 
 
 Our Geographic Zones Are As Follows
 
 
 
 Zone 1 - San Francisco / New York City / Seattle
 
 
 Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego
 
 
 Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh
 
 
 Zone 4 - All other US cities
 
 
 The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Software Engineer - Platform

Airwallex

<div><h2 class="jobSectionHeader">About Airwallex</h2>
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide &ndash; including Brex, Rippling, Navan, Qantas, SHEIN and many more &ndash; with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you&rsquo;re ready to do the most ambitious work of your career, join us.<h2 class="jobSectionHeader">
Attributes We Value</h2>
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you&rsquo;re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you &ldquo;get stuff done&rdquo; end-to-end. You use AI to work smarter and solve problems faster. Here, you&rsquo;ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let&rsquo;s build what&rsquo;s next.<h1 class="jobSectionHeader">
Location: San Francisco</h1><h2 class="jobSectionHeader">
Who You Are &amp; Role Overview</h2>
The Platform Engineering team is architecting Airwallex&rsquo;s next-generation foundational infrastructure. We are moving beyond standard pipelines to build a high-performance, distributed ecosystem that powers real-time AI enablement and global financial data.
We aim to push the boundaries of distributed storage, stream processing, and service-layer interfaces. We are looking for &quot;Engineers&rsquo; Engineers&quot;&mdash;builders who enjoy diving into the internals of distributed systems, optimizing JVM performance, and implementing robust architectural patterns like Lakehouse and real-time data.<h2 class="jobSectionHeader">
In this role, you will:</h2><ul><li>
Architect &amp; Build: Lead technical decision-making and custom development for core infrastructure components, extending from foundational storage to high-availability service layers.</li><li>
Systems Optimization: Deep-dive into performance tuning and systems internals&mdash;such as state management, checkpointing, and exactly-once semantics&mdash;to ensure millisecond-level accuracy at global scale.</li><li>
AI Infrastructure: Develop and integrate the &quot;Knowledge Platform,&quot; enabling AI-driven products through scalable vector indexing, agentic workflows, and real-time data streaming.</li><li>
Distributed Systems at Scale: Own the full SDLC for high-performance distributed systems (batch and streaming) that process petabytes of data across 30+ global regions.</li><li>
Engineering Rigor: Advocate for elite software engineering practices, contributing to shared tooling, SDKs, and automation frameworks that enhance the productivity of engineering teams company-wide.</li><li>
Mentorship: Act as a technical beacon and mentor for mid-level engineers, driving project delivery through design reviews and technical leadership.</li></ul><h2 class="jobSectionHeader">
You might be a great fit if you:</h2><ul><li>
Experience: Have 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms.</li><li>
First Principles Thinking: Possess a deep understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols.</li><li>
The &quot;Builder&quot; Stack: Are proficient in Java, Kotlin, or Go. You should have hands-on experience (or the desire to deep-dive) into the internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines.</li><li>
Ownership Mindset: Have a proven track record of taking 0-1 ownership of complex technical challenges, from initial design to production stability.</li><li>
Curiosity &amp; Impact: Are intrinsically motivated to explore emerging tech in AI/ML infrastructure and real-time systems to create tangible business impact.</li></ul><h2 class="jobSectionHeader">
Applicant Safety Policy: Fraud and Third-Party Recruiters</h2>
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.<h2 class="jobSectionHeader">
Equal opportunity</h2>
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don&rsquo;t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Compensation Range: $158K - $260K</div>

Senior Software Engineer, Data Platform & AI Enablement

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a
 
 Software Engineer
 
 , you will contribute to the development of critical systems that power how users join and trust our platform; spanning user acquisition, onboarding, identity, and fraud prevention. You will work alongside experienced engineers and cross-functional teams to deliver reliable, scalable, and high-performance software solutions. This role is ideal for someone with a strong foundation in software engineering principles and the drive to grow through meaningful, impactful work.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of platform systems that support user acquisition, onboarding, and identity infrastructure.
 </li>
 <li>
 Help build and maintain fraud prevention systems to protect the integrity of our platform.
 </li>
 <li>
 Write high-quality code and support robust testing strategies to ensure product reliability.
 </li>
 <li>
 Collaborate with product managers, designers, and senior engineers to create seamless user experiences from first touch through activation.
 </li>
 <li>
 Actively participate in code reviews and learn from experienced engineers to accelerate your technical growth.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience, with a backend-leaning full stack orientation.
 </li>
 <li>
 Foundational proficiency in programming languages such as Java, Python, or Ruby.
 </li>
 <li>
 Familiarity with building or contributing to platforms and scalable infrastructure systems.
 </li>
 <li>
 Exposure to cloud platforms like AWS or Azure.
 </li>
 <li>
 Ability to break down problems, take ownership of well-scoped tasks, and see them through to completion.
 </li>
 <li>
 Strong problem-solving skills and eagerness to tackle new technical challenges.
 </li>
 <li>
 Clear communication skills and a collaborative, team-first mindset.
 
 
 </li>
 </ul>
 
 Extra Credit
 
 
 
 <ul>
 <li>
 Interest in identity, trust &amp; safety, or fraud prevention.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 The below benefits are for full-time US employees.
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness:
 
 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, wellness stipend
 
 
 📚
 
 Growth:
 
 Learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at
 
 joinhandshake.com/careers
 
 .
 
 
 Compensation Range: $145K - $170K
 
 
</div>

Software Engineer, Acquisition & Identity

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Software Engineer II
 
 
 
 Type:
 
 
 Full-Time
 
 
 
 
 Compensation:
 
 
 $70&ndash;$95/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Drive technical implementation and testing of complex data pipeline features within the SPECTRA platform. Ensure robust end-to-end functionality and meet project release timelines.
 </li>
 <li>
 Design and develop data processing pipelines using SQL and Python. Handle large-scale data collection, transformation, and quality monitoring workflows.
 </li>
 <li>
 Build and maintain dashboards and visualization tools. Provide visibility into data quality, rater performance, and platform metrics for stakeholders across multiple teams.
 </li>
 <li>
 Create comprehensive end-to-end tests and monitoring alerts. Ensure platform reliability, data integrity, and proactive identification of issues in the data collection workflow.
 </li>
 <li>
 Debug and troubleshoot complex data flow issues across the SPECTRA platform. Identify root causes and implement solutions to maintain high system availability.
 </li>
 <li>
 Collaborate closely with Technical Leads and engineering teams. Implement backend data processing logic and ensure adherence to development standards and best practices.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 Experience in SQL development writing complex queries, data transformations, and working with large datasets in production environments.
 </li>
 <li>
 Proficient in Python with experience in data processing, automation, and pipeline development using object-oriented programming principles.
 </li>
 <li>
 Experience with data engineering pipelines including ETL processes, data modeling, and building scalable data processing workflows.
 </li>
 <li>
 Hands-on experience with data visualization and dashboard tools such as Tableau or similar platforms.
 </li>
 <li>
 Strong analytical and problem-solving skills with demonstrated ability to debug complex data issues and implement effective solutions.
 </li>
 <li>
 Experience with data quality monitoring and automated testing frameworks.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Degree in Computer Science or related field.
 </li>
 <li>
 Machine Learning experience with understanding of ML model training data requirements, feature engineering, and model evaluation metrics.
 </li>
 <li>
 Experience building and scaling large products or systems.
 </li>
 <li>
 Experience with building privacy and ads-related products.
 </li>
 <li>
 Experience working with human labeling and annotation systems including workflow design, quality assurance, and vendor management in data collection operations.
 </li>
 <li>
 Prior experience working with the company or its internal tools.
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Legal
 
 
 
 <ul>
 <li>
 Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Software Engineer I - Junior Level

Uber

<div>
 
 About The Role
 
 
 
 The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber's data infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber's growth and marketing initiatives.
 
 
 You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
 </li>
 <li>
 Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
 </li>
 <li>
 Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
 </li>
 <li>
 Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
 </li>
 <li>
 Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
 </li>
 <li>
 Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 4+ years of experience in data engineering or backend software development.
 </li>
 <li>
 Proficiency in Python, SQL, Java, or Scala for data pipeline development.
 </li>
 <li>
 Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.
 </li>
 <li>
 Data warehouse and Data Modeling experience
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Web and SEO Analytics
 </li>
 <li>
 Experience in Marketing Technologies
 </li>
 <li>
 Designing and executing on Real-time and Near Real-time Systems
 
 
 </li>
 </ul>
 For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
</div>

Data Engineer - Growth and Marketing Platform

<div><div>This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.</div><div></div><div> 
&quot;DDN's A3I solutions are transforming the landscape of AI infrastructure.&quot; &ndash; IDC</div><div></div><div> 
&ldquo;The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments&rdquo; - Marc Hamilton, VP, Solutions Architecture &amp; Engineering | NVIDIA</div><div></div><div> 
DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.</div><div></div><div> 
Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.</div><div></div><div> 
Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.</div> 
We are seeking a hands-on Staff Frontend Software Engineer to define and lead the architecture of Infinia&rsquo;s next-generation UI platform.
This is a deeply technical leadership role. You will:<ul><li>
Own frontend architectural direction</li><li>
Design scalable UI platform foundations</li><li>
Enable multiple teams to build independently and efficiently</li><li>
Integrate AI-driven capabilities into the user experience</li><li>
Ensure enterprise-grade security, performance, and reliability</li></ul> 
DDN - Infinia engineers come from diverse backgrounds, and we consider them to be in the highest tier of technology game changers globally. They have created, architected and pioneered numerous advancements in data enabling technologies, and delivered groundbreaking ideas which have shaped and transformed the storage industry.<h1 class="jobSectionHeader"> 
What You&rsquo;ll Do</h1><ul><li>
Define and own the frontend architecture roadmap for Infinia.</li><li>
Establish long-term framework and tooling strategy.</li><li>
Build high-performance applications using modern UI technologies (e.g., React, TypeScript, Next.js).</li><li>
Integrate AI capabilities into the UI experience.</li><li>
Define and enforce CI/CD best practices.</li><li>
Lead design, implementation, and automation of frontend QE practices.</li><li>
Guide architectural reviews and mentor other engineers.</li><li>
Establish coding standards, testing strategies, and quality benchmarks.</li><li>
Enforce strict frontend security best practices.</li><li>
Ensure UI meets enterprise performance, scalability, and reliability requirements.</li><li>
Influence product direction with technical insight.</li><li>
Translate complex storage and distributed systems concepts into intuitive user experiences.</li><li>
Partner cross-functionally with backend, platform, security, and DevOps teams.</li></ul> 
What will you bring to DDN
<ul><li>10+ years of software development experience.</li><li>
7+ years of experience with React and/or TypeScript.</li><li>
Proven experience defining frontend architecture for enterprise-scale platforms.</li><li>
Experience in data storage, infrastructure, or distributed systems domains.</li><li>
Experience building AI-integrated web applications.</li><li>
Experience operating in both cloud-native and on-prem environments.</li><li>
Strong understanding of frontend security best practices.</li></ul>
Salary Range: $123,000 - $228,000 
Join our dynamic and driven team, where engineering excellence is at the heart of everything we do. We seek individuals who love to challenge themselves and are fueled by curiosity. Here, you'll have the opportunity to work across various areas of the company, thanks to our flat organizational structure that encourages hands-on involvement and direct contributions to our mission. Leadership is earned by those who take initiative and consistently deliver outstanding results, both in their work ethic and deliverables, making strong prioritization skills essential. Additionally, we value strong communication skills in all our engineers and researchers, as they are crucial for the success of our teams and the company as a whole. 
Interview Process: After submitting your application, one of our recruiters will review your resume. If your application passes this stage, you will be invited to a 30-minute interview during which a member of our team will ask some basic questions. If you clear the interview, you will enter the main process, which can consist of up to four interviews in total: 
<ul><li>
Coding assessment: Often in a language of your choice.</li><li>
Systems design: Translate high-level requirements into a scalable, fault-tolerant service (depending on role).</li><li>
Real-time problem-solving: Demonstrate practical skills in a live problem-solving session.</li><li>
Meet and greet with the wider team.</li><li>
Our goal is to finish the main process in 2-3 weeks at most.</li></ul> 
DataDirect Networks (DDN) is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.<div></div><div> 
#LI-Remote</div></div>

Staff Frontend / Full-Stack Engineer – AI Storage Platforms

Airtable

<div><div>Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.</div>
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.

At Airtable, we're passionate about democratizing software creation &mdash; empowering anyone to build powerful, flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows. Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale.

As a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions.
<h2 class="jobSectionHeader">
The Teams</h2>

We're hiring across two pods. Both teams work closely with Data Science and Analytics and are central to how Airtable understands itself as a business. You'll find your fit based on where your interests and experience align. And uniquely: the platform you're measuring and building on is the same one your customers use every day. When Airtable ships a new AI agent capability, you're among the first to instrument it, understand its adoption, and help shape what comes next.

Product &amp; AI Data Infrastructure This team builds and owns the foundational data pipelines that power product analytics across Airtable. As Airtable shifts to an AI-native platform, our work increasingly involves instrumenting and measuring AI product usage, building event pipelines for AI agents, surfacing AI-native adoption metrics in core business tables, and developing AI-powered data discovery tooling, including vector search over our catalog metadata. We partner closely with product analytics, product engineering, and data infrastructure to turn business questions into well-modeled, trustworthy data.

GTM &amp; Business Data Engineering This team owns the datasets that power go-to-market and business operations at Airtable. We build and govern the business critical pipelines and core tables used to report AI usage metrics across the company, create and maintain data models that support RevOps, Marketing, and BizTech stakeholders, and increasingly leverage AI tools, including writing Claude skills and incorporating AI context guidance, to accelerate and enhance our day-to-day pipeline work. If you're energized by working at the intersection of clean data architecture and cross-functional business impact, this is your team.
<h1 class="jobSectionHeader">
What you'll do</h1>
<ul><li>Work across our engineering organization and stakeholders from data science, growth, sales, marketing, and product to understand the data needs of the business and produce pipelines, data marts, and other solutions that enable better decision-making.</li>
<li>Design and maintain our foundational business tables in order to simplify analysis and reporting across the entire company, including AI usage metrics surfaced to executive stakeholders.</li>
<li>Use AI tools as a daily part of how you work, from LLM-assisted pipeline development and debugging to exploring our catalog through AI-powered discovery, and bring a curiosity for where this tooling is heading next.</li>
<li>Build and enforce a pattern language across our data stack, ensuring pipelines and tables are consistent, accurate, and well-understood.</li>
<li>Continue to improve the performance and reliability of our data warehouse.</li>
<li>Partner with data scientists, analytics engineers, and business stakeholders to translate ambiguous business questions into well-scoped data solutions.</li>
</ul><h1 class="jobSectionHeader">Who you are</h1>
<ul><li>You have 3-8+ years of professional experience designing, creating, and maintaining scalable data pipelines, preferably in Airflow.</li>
<li>You've wrangled enough data to understand how often the complex systems that produce it can go wrong, and you build with that in mind.</li>
<li>You are proficient in at least one programming language (preferably Python) and are willing to pick up others as the work demands.</li>
<li>You are highly effective with SQL and understand how to write and tune complex queries.</li>
<li>You're genuinely curious about how AI is reshaping data engineering and you're actively experimenting, not just watching from the sidelines. Whether that's using LLMs to write and debug pipelines faster, thinking through how to model agent behavior as data, or exploring what smarter data discovery could look like, you bring enthusiasm for figuring it out.</li>
<li>You're passionate and thoughtful about building systems that enhance human understanding.</li>
<li>You communicate with clarity and precision in written form and have experience conveying findings through graphs and visualizations.</li></ul><div> 
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Software Engineer, Data

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