Yoodli Logo

Yoodli

Senior Software Engineer- Backend (Product & Cloud Security)

Posted 2 Months Ago
In-Office
Seattle, WA, USA
160K-190K Annually
Senior level
In-Office
Seattle, WA, USA
160K-190K Annually
Senior level
Build and secure scalable backend services for an AI product, focusing on authentication, authorization, data isolation, threat monitoring, secrets and key management, vulnerability management, audit logging, and enterprise data protection. Partner with security, compliance, product, and engineering teams to identify trust-boundary issues and deliver pragmatic security improvements. Contribute to cloud infrastructure, compliance initiatives, and general backend engineering in a fast-moving startup environment.
The summary above was generated by AI

Yoodli helps people get measurably better in their careers. We help individuals achieve this by helping them land their job, onboard at their companies, learn new skills, practice a speech, sales pitch or difficult conversation, and then take your Yoodli coach with you from one role to the next. For organizations, this means helping you upskill your entire workforce for the AI Future.
We’ve always believed in the human potential. In 2021, Esha and Varun started Yoodli as an AI communication coach - to help people communicate with confidence. Since then, our users have used Yoodli for so much more: to learn new concepts through AI Roleplays, practice different kinds of conversations (sales pitches, job interviews, manager conversations), and even use Yoodli as their personal coach to help them learn to use Gemini, Claude or other AI Tools. It’s why we expanded our technology to be the AI Platform for Human Skills.
Who We Are
Our team includes former employees from Google, Apple, Microsoft, Tableau, and beyond, united by a passion for empowering people using AI. We're headquartered in the heart of Seattle, and we're having a lot of fun along the way. Our culture is built on failing fast, iterating constantly, and taking bold bets. We value humility, authenticity, and a can-do-attitude.
We’re backed by Madrona, Neotribe the Allen Institute for AI, Cercano, and have raised over $60M to date.
Our customers include Google, RingCentral, Databricks, Snowflake, Sandler Sales, Dale Carnegie, Toastmasters, and users in over 150 countries. We’ve been featured in Forbes, Fortune, WSJ, Geekwire, ZDNet, and several other outlets (www.yoodli.ai/press). You can try the platform for free at www.yoodli.ai and learn more about us in this TED Talk. 

About this team

You’ll operate as part of our Platform team, with a specific focus on cloud and operational security. You’ll work on problems including active monitoring and defenses, privilege escalation flows, secrets/key management, dependency and vulnerability management, BYOK capabilities, securing an AI product, and the engineering behind ensuring our enterprise customer data remain secure.

This is a dedicated security role - one that’ll extend into general backend and in-product engineering. You'll ship work alongside the rest of the team. You'll be the engineer who focuses on security improvements and changes, who partners with our security and compliance leadership, and who spots a trust boundary problem in a design review before it ships.

Because we're a startup, the surface is wide. You'll have real ownership and the chance to set the standard for how a company our size does this well.

What you'll work on
  • Authentication, authorization, access controls
  • Data isolation and data loss prevention
  • Active threat monitoring and defenses 
  • Secrets management, key rotation, and secure-by-default patterns other engineers build on
  • Vulnerability and dependency management
  • Audit logging and the data plumbing behind customer security and privacy requirements
What we're hoping you bring

Mission alignment: You believe in our vision and care deeply about helping people achieve more by communicating better

Backend expertise: You have strong experience building scalable, reliable backend services that power great user experiences

A security mindset: You think in terms of trust boundaries, blast radius, and failure modes without being asked to. You've been the person on a team who catches the thing everyone else missed

Pragmatism: You right-size solutions. Security that grinds the company to a halt isn't good security - you know how to pick the controls that matter and skip the theater

Craft and quality: You hold yourself to a high bar for code quality and system design, and you make the engineers around you better

About you
  • 5+ years of professional development experience, shipping production code
  • Strong backend capabilities: you've owned services end-to-end and have a track record of delivering in fast-moving environments
  • Experience with cloud infrastructure (GCP, AWS, or Azure) and Infrastructure as Code
  • Proficiency in TypeScript, Python, or equivalent languages - with the ability to debug complex distributed systems
  • Experience applying security fundamentals in a professional environment, and the judgment to apply them proportionally
  • Clear communicator who works well across engineering, product, and compliance, and who gives and receives feedback well
  • You understand how your work connects to business outcomes and user impact
  • Bachelor's degree in Computer Science or equivalent experience
  • Ability to be on-site in our Seattle, WA office 3 days a week (M, T, Th)
Extra credit experience
  • Building in support of compliance frameworks (SOC 2, ISO 27001, GDPR, or similar) as an engineer
  • Multi-tenant SaaS at enterprise scale
  • NoSQL databases and Kubernetes
  • Google Cloud Platform
  • Responding to enterprise security questionnaires or customer security reviews
What's in it for you?

Huge impact opportunity: Define technical strategy and build foundational systems at a fast-growing startup. Work directly with the founding team and shape the future of the AI platform for human skills

Competitive compensation: Significant equity opportunities at a venture-backed company

Base compensation: $160k - $190k

Join a fun, inclusive and highly motivated team culture (and help define it!)

Similar Jobs

50 Minutes Ago
In-Office
94K-156K Annually
Senior level
94K-156K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Develop and scale drug linker manufacturing processes for antibody-drug conjugates. Design and interpret laboratory experiments, reaction and unit operation models, process optimization, purification, scale-up, and technology transfer activities. Collaborate with chemists, analysts, manufacturing sites, and external partners while documenting technical findings, supporting process improvements, and ensuring safe, robust, and scalable production.
Top Skills: Artificial IntelligenceAspenChromatographyCosmothermDesign Of ExperimentsDscDynochemFbrmFtirGpromsHplcMachine LearningMass SpectrometryMatlabMembrane SeparationNirNmrOnline HplcProcess ModelingPxrdRamanReaction LabSupercritical Fluid Precipitation/ExtractionTangential Flow FiltrationTgaUplcVisimix
50 Minutes Ago
In-Office
106K-177K Annually
Senior level
106K-177K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build and deploy production-grade AI and machine learning systems supporting biomedical research and drug discovery. Own technical solutions from architecture through deployment, including data pipelines, retrieval systems, knowledge systems, inference services, evaluation frameworks, and human-in-the-loop workflows. Partner with scientists and engineers to transform prototypes into scalable, secure, reliable platforms. Lead technical delivery, make architecture tradeoffs, improve engineering standards, mentor teammates, and promote responsible AI practices.
Top Skills: Agentic AiAi PlatformsAPIsCi/CdCloud ComputingContainersDistributed InferenceDistributed TrainingHigh-Performance ComputingInference OptimizationJaxKnowledge GraphsLarge Language ModelsMachine LearningMlopsModel ServingMultimodal LearningOrchestrationPythonPyTorchRetrieval-Augmented GenerationScientific Machine LearningVersion Control
50 Minutes Ago
In-Office
139K-232K Annually
Senior level
139K-232K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build and deploy production-grade AI and machine learning systems supporting biomedical research, including multimodal models, intelligent agents, retrieval, knowledge systems, evaluation frameworks, and inference services. Own architecture through production, make scalability and reliability tradeoffs, establish responsible AI practices, and drive technical delivery. Collaborate with scientists, computational biologists, and platform teams while mentoring engineers and improving engineering standards, observability, and system performance.
Top Skills: Agentic AiAi EvaluationAPIsCi/CdCloud ComputingContainersDistributed InferenceDistributed TrainingGpu TrainingHigh-Performance Computing (Hpc)JaxKnowledge GraphsLarge Language Models (Llms)MlopsMultimodal LearningOrchestrationPythonPyTorchRetrieval-Augmented Generation (Rag)Scientific Machine Learning

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account