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software engineer cloud infrastructure

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 Cloud Infrastructure team is a unique opportunity within Notion to architect the foundational cloud environment that can scale alongside Notion&rsquo;s rapid growth. As an engineer on the team, you'll work on the fundamental infrastructure components that all other teams at Notion build upon and guide Notion through the next few years of growth.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 Drive the future of Cloud Infrastructure at Notion&mdash;you&rsquo;ll lead our strategy and execution across compute, networking, and resource orchestration, ensuring our platform scales reliably and securely to serve 100M+ users worldwide. Including container orchestration, cloud cost efficiency, resilience, global expansion across regions while considering compliance and performance.
 </li>
 <li>
 Hands on in building our next-generation self-service platform, partnering with product engineers to enable rapid, reliable deployment with strong guardrails&mdash;while reducing friction and increasing velocity across hundreds of developers. You'll be responsible for maintaining a high-quality bar for everything your team ships.
 </li>
 <li>
 Lead by example in operational excellence&mdash;you&rsquo;ll guide the team through high-severity incidents, eliminate our gaps in observability, improve incident response processes, and uphold reliability standards. You&rsquo;ll participate in a sustainable on-call rotation and help shape Notion&rsquo;s reliability culture.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Software Engineer with Cloud Infrastructure Foundation: You are a hands-on software engineer who is an expert in contributing to large codebases and establishing strong patterns in greenfield projects. You bring a test-driven development mindset, carefully consider how your changes will affect production environments, and take steps to validate them. You have expertise with cloud concepts, particularly in networking, compute optimization. You build observability tools to validate changes and programmatically catch regressions.
 </li>
 <li>
 Startup mentality: You are comfortable navigating the fast moving, unstructured nature of a hyper-growth startup. You understand the importance of setting the engineering quality bar for the long term success of our business, but are able to make difficult prioritizations.
 </li>
 <li>
 Pragmatic and business-oriented: You care about business impact and prioritize projects accordingly. You don't just go after cool stuff&mdash;you understand the balance between craft, speed, and the bottom line.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You have experience working with the following:
 </li>
 <ul>
 <li>
 Cloud Compute and Networking technologies - Cloudflare / AWS
 </li>
 <li>
 Cloud Efficiency - capacity planning, cost attribution
 </li>
 <li>
 Infrastructure as Code Technologies - Terraform / Pulumi / Typescript
 </li>
 </ul>
 <li>
 You are comfortable using AI tools to accelerate impact
 
 </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 or New York, the estimated base salary range for this role is $130,000 - $250,000 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, Cloud Infrastructure

CRUSOE

<div>Crusoe's mission is to accelerate the abundance of energy and intelligence. We&rsquo;re crafting the engine that powers a world where people can create ambitiously with AI &mdash; without sacrificing scale, speed, or sustainability.
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that&rsquo;s setting the pace for responsible, transformative cloud infrastructure.<h2 class="jobSectionHeader">
About the Role:</h2>
We are actively seeking an exceptional Staff Software Engineer to join our cloud software team, focusing specifically on building and operating Slurm as a fully managed cloud service within Crusoe Cloud. This role is crucial for delivering next-generation orchestration capabilities to power GPU-accelerated and high-performance computing (HPC) at scale.
Your expertise will be instrumental in designing and scaling our carbon-reducing operating model, and advancing our AI training clusters to lead the industry in reliability and performance. You will shape the technical direction of systems that allow customers to run advanced workloads across CPUs, NVIDIA and AMD GPUs, and high-performance networking environments.
You will be involved in writing and reviewing code, contributing to proposals, and drafting architecture documents. You will evaluate tools and frameworks, considering their impact on reliability, scalability, operational costs, and ease of adoption.<h2 class="jobSectionHeader">
What You'll Be Working On:</h2><ul><li>
Lead the development and engineering of our managed Slurm offering, providing a seamless experience for AI/ML and HPC customers who rely on robust Slurm job scheduling.</li><li>
Contribute to the development of scalable and robust software solutions, closely aligning with the strategic objectives outlined in the Crusoe Cloud roadmap.</li><li>
Design, build, and maintain Kubernetes operators and controllers dedicated to managing the lifecycle, configuration, and state of large-scale Slurm clusters.</li><li>
Drive the integration of GPU acceleration in the Slurm environment, including device plugin architecture, GPU operators, accelerator-aware scheduling, and resource allocation.</li><li>
Ensure that high-performance networking technologies, such as InfiniBand and RoCE, are correctly leveraged for distributed GPU workloads running through Slurm.</li><li>
Implement and manage features such as multi-tenancy, cluster lifecycle management, auto-scaling, and high availability for the managed Slurm control plane services.</li><li>
Develop scalable systems to compete with leading managed services.</li><li>
Support the development of your peers by sharing knowledge and providing guidance in technical discussions.</li></ul><h2 class="jobSectionHeader">
What You'll Bring to the Team:</h2><ul><li>
You have 7+ years of experience working in software engineering, with strong experience in Systems Engineering. Experience in distributed systems, cloud, or HPC environments is a must</li><li>
You possess 2+ years of programming experience in GoLang. Strong proficiency in other systems languages (Rust, C++, Python for HPC tooling) is also beneficial.</li><li>
You have extensive experience with Kubernetes and Linux Engineering and debugging.</li><li>
You possess deep knowledge of Slurm (Simple Linux Utility for Resource Management) administration and the architecture required for managing compute jobs in high-performance environments.</li><li>
You are skilled in infrastructure as code and familiar with systems-level challenges, ideally with experience utilizing Terraform.</li><li>
You understand Argo, CI/CD, and Automated Testing pipelines. You can design system architecture, taking ownership of system architecture, including CI/CD pipelines, while ensuring adherence to security standards.</li><li>
Strong knowledge of container networking (CNI plugins, service meshes) and Linux networking fundamentals.</li><li>
Familiarity with GPU integration in Kubernetes, including device plugins and GPU operators.</li><li>
You have excellent communication skills, both verbal and written.</li></ul><h2 class="jobSectionHeader">
Compensation Range</h2>
Compensation will be paid in the range of $185,000 - $224,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.</div>

Staff Software Engineer, Slurm

OpenAI

About the Team
 
OpenAI’s Platform and Infrastructure Engineering organization advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient technology solutions. Our team builds and maintains robust infrastructure that safeguards OpenAI’s data and systems while ensuring employees are well-equipped and seamlessly connected. By prioritizing security, reliability, and user-centric solutions, we empower OpenAI employees to drive impactful AI research, corporate operations, and product innovation.
 
About the Role
 
As a
 
Network Security Engineer
 
at OpenAI, you will play a critical role in architecting and maintaining both campus and cloud network infrastructure. You will design and implement secure, scalable, and high-performing network solutions that bridge on-premises environments with public cloud environments. Your expertise in routing and switching will ensure optimal network performance and reliability across diverse environments. You will drive automation initiatives through Infrastructure-as-Code (IaC) and GitOps methodologies, streamlining network provisioning, enforcing configuration consistency, and optimizing IT workflows. Your responsibilities will also include developing CI/CD pipelines tailored for IT infrastructure, enhancing deployment efficiency, and integrating robust network security measures. You will establish comprehensive observability and proactive issue resolution strategies.
 
We are seeking individuals passionate about network automation, security, and scalable IT solutions that enhance both campus and cloud network operations. You should possess extensive experience with enterprise network technologies, alongside a strong foundation in network security fundamentals. In this role, you will collaborate closely with Security, IT, and Engineering teams to align automation workflows with Zero Trust principles, enforce role-based access controls, and implement security best practices across network infrastructure. If you excel in cross-functional settings and have a proven track record of delivering innovative, secure network solutions, this role offers a unique opportunity to shape OpenAI’s security-first, automation-driven network ecosystem.
 
In this role, you will: 
Design, build, implement, and maintain secure, scalable, and performant network infrastructure, automation workflows, and network security solutions.
 
Drive critical network and IT automation through software development and first-party tooling to optimize network operations, streamline infrastructure management, and enhance IT service delivery.
 
Leverage modern Infrastructure-as-Code (IaC) methodologies and GitOps-driven automation to orchestrate network infrastructure, enforce configuration consistency, and scale IT workflows efficiently.
 
Build and maintain CI/CD pipelines for IT infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).
 
Design and implement scalable, network-focused internal tools and dashboards to streamline network operations, optimize network workflows, and provide real-time visibility into network performance.
 
Collaborate with security teams to align IT automation initiatives with Zero Trust principles and compliance frameworks.
 
Implement role-based access controls (RBAC) and mitigate security risks through automated policies.
 
Work cross-functionally to identify areas for IT service improvement and implement self-service solutions.
 
Manage multiple projects and initiatives, ensuring efficiency and alignment with business objectives.
 
You may be a fit for this role if you have: 
Strong experience with Cisco IOS, Cisco Meraki, Palo Alto or similar Enterprise network vendors.
 
Strong Routing and Switching experience including routing protocols (BGP, OSPF and MPLS)
 
Experience with Network monitoring tools/protocols and logging pipelines like SNMP, Syslog, Netflow, Elasticsearch (ELK Stack) and Grafana
 
Strong understanding of network security principles including ACLs, Firewalls, VPN, 802.1x authentication, profiling and RBAC
 
Proficiency in a modern programming language (Python, Golang, Ruby, etc.)
 
Strong knowledge of and experience with cloud platforms (Azure, AWS, GCP) and infrastructure management.
 
Experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.) as well as cloud automation best practices.
 
Experience integrating corporate IT infrastructure with CI/CD pipelines and DevOps workflows.
 
Proven track record of developing and maintaining internal tools to streamline IT operations and business processes.
 
Demonstrated experience developing internal automation solutions, such as Slack bots and integrations.
 
Excellent stakeholder management skills and ability to work cross-functionally with IT, security, and business teams.
 
Clear and concise communication skills to explain technical concepts to both technical and non-technical audiences.
 
A self-starter with strong analytical and problem-solving skills.
 
Understanding of wireless design, channel planning and site surveys.
 
You might thrive in this role if you have: 
Expertise and experience with SSL Inspection.
 
Deep experience with containerization technologies such as Docker and Kubernetes.
 
Experience with campus LAN/WAN implementations including DWDM and optical networking
 
Experience with and knowledge of data center best practices including architecture design and interconnects.
 
This is a hybrid role and will require 3 days a week in our San Francisco office.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$325K + Offers Equity

Network Security Engineer

Beacon Talent

<div><div><h2 class="jobSectionHeader">Our client
</h2>Our client is building AI infrastructure for the next era of learning, with a mission to make one-on-one, world-class tutoring accessible to every learner. Their products already reach hundreds of thousands of students worldwide, and they&rsquo;ve recently closed a top-tier seed round to accelerate growth. The team blends deep technical expertise with a passion for impact, and they are expanding in Berkeley to push the boundaries of real-time, personalized AI learning experiences.
<h2 class="jobSectionHeader">About the Role
</h2>They are hiring a Machine Learning / AI Engineer to design, prototype, and ship machine learning systems with a strong focus on large language model (LLM) workflows, real-world evaluation, and deployment readiness. This is a hands-on engineering role (not research-focused) where you&rsquo;ll work closely with product, design, and engineering teams to bring powerful AI into real student experiences.
Location: On-site, Berkeley, CA
 
Experience Level: 0&ndash;2 years
 
Type: Full-time, in-office
 
Compensation: Top-of-market cash with meaningful equity (0.1&ndash;0.3%)
<h2 class="jobSectionHeader">Responsibilities
</h2><ul><li>Build, scale, and own ML/AI systems.
</li><li>Design evaluation pipelines and apply them to iteratively improve performance.
</li><li>Collaborate cross-functionally to ship student-facing ML features.
</li><li>Drive high-quality, high-speed execution in a startup environment
</li></ul><h2 class="jobSectionHeader">Requirements
</h2><ul><li>0&ndash;2 years of professional ML engineering experience, ideally in product-facing roles.
</li><li>Strong machine learning and software engineering skills.
</li><li>Proficiency with Python and frameworks such as FastAPI or Django, plus experience with Postgres.
</li><li>Hands-on experience with LLMs: orchestration, context management, evaluation, and fine-tuning.
</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure).
</li><li>Passion for building impactful products.
</li></ul><h2 class="jobSectionHeader">Benefits &amp; Why Join
</h2><ul><li>Competitive cash + equity package.
</li><li>Direct mentorship from senior AI engineers and researchers.
</li><li>Work that ships fast and impacts learners directly.
</li><li>Opportunity to join at an early stage and help shape both the product and the company.</li></ul></div></div>

Machine Learning Engineer / AI Engineer

Agora

<div>About the Company
Agora is the App Store for AI.
As hundreds of thousands of AI agents emerge across every vertical, the software discovery and sales landscape is becoming increasingly chaotic. Agora cuts through that noise&mdash;we help individuals and enterprises discover the best AI agents for their needs, all powered by deep research, social proof, and quantitative evaluations.
Agora has raised $3.6M in seed funding from world-class investors like Wing VC.
About the Role
As a backend engineer, you'll help build the core infrastructure and backend systems powering Agora's product. Our vision is to make Agora the go-to app store for software in the agentic future. We're tackling a broad range of problems, from building containerized infrastructure to deploy and evaluate AI agents to designing scalable APIs that handle complex social dynamics at scale. This will involve difficult technical challenges such as container-isolated agent execution environments, real-time ML inference and data processing pipelines, and high-performance database architectures that scale.
This is a rare opportunity to join a well-funded startup at the earliest stage, where your contributions will directly shape how the world discovers and adopts AI agents. We are in-person in SF and bring a fast-paced, ambitious, and creative culture. We offer competitive compensation, equity, and the kind of collaborative environment where you can do your best work. If you're interested in spearheading the future of AI distribution and adoption, we would love to chat.
Responsibilities<ul><li>
Completely own full features end-to-end &amp; collaborate with the founders to scope out the problem space</li><li>
Design and implement scalable APIs using TypeScript and modern web frameworks (Hono/Node.js)</li><li>
Architect and optimize PostgreSQL databases, writing performant queries and managing complex schema evolution</li><li>
Implement real-time ML inference pipelines and recommendation systems</li><li>
Build containerized infra for secure, isolated AI agent execution environments</li><li>
Flex across the full stack to support our customers</li><li>
Ship fast.</li></ul>
Requirements<ul><li>
Deep proficiency with TypeScript and Node.js backend development</li><li>
Extensive experience with PostgreSQL, including complex query optimization, schema design, and ORM usage</li><li>
Strong system design intuition for building architectures that scale</li><li>
Proven experience shipping production-grade backend services and APIs</li></ul>
Bonus Points<ul><li>
Experience with ML infrastructure, model serving, and real-time inference</li><li>
Open source contributions to backend frameworks or infrastructure tools</li><li>
Previous experience with container orchestration and distributed systems</li><li>
Previously been a founder or early engineer at a hypergrowth startup</li></ul>
Compensation Range: $180K - $220K</div>

Fullstack Engineer (backend-leaning)

Wonderschool - a16z & Goldman

<div>
 
 About Wonderschool
 
 
 
 Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.
 
 
 We are seeking a highly skilled and motivated Early Career Software Engineer to join our team. As the Early Career Software Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.
 
 
 
 Role Overview
 
 
 
 We are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You&rsquo;ll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences. This position is on site in our San Francisco office, Tuesday, Wednesday, and Thursday to allow for collaboration.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.
 </li>
 <li>
 Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.
 </li>
 <li>
 Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.
 </li>
 <li>
 Debug and troubleshoot technical issues to ensure platform stability.
 </li>
 <li>
 Stay current with emerging technologies and best practices in software engineering and AI.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).
 </li>
 <li>
 Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
 </li>
 <li>
 Basic understanding of cloud platforms like Google Cloud Platform and AWS.
 </li>
 <li>
 Excellent communication skills and ability to work in a collaborative, in-person environment.
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <ul>
 <li>
 Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.
 </li>
 <li>
 Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.
 </li>
 <li>
 Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Compensation: Expected salary range is $100K&ndash;$120K annually, based on experience and location.
 </li>
 <li>
 Health Benefits: 100% coverage for employee premiums and 80% for dependents.
 </li>
 <li>
 Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.
 </li>
 <li>
 Parental Leave: Competitive policies eligible after six months of employment.
 </li>
 <li>
 Work Environment: 3-5 Days in our SF Office in Downtown in SF with lunch covered.
 
 
 </li>
 </ul>
 Wonderschool&rsquo;s mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.
 
 
 For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.
 
 
 The first five years of a child&rsquo;s life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.
</div>

Early Career Software Engineer – Applied AI

COGENT SECURITY

<div>About the Role
Cogent Security is redefining how AI can proactively defend organizations against evolving threats. As a Staff Frontend Engineer, you will own the frontend platform and experience that enables customers to visualize, understand, and act on complex security data with confidence.
This is a Staff+ caliber role: you&rsquo;ve operated at least at Staff, Senior Staff, or Principal Frontend Engineer level at some point in your career, and you&rsquo;re excited to set the technical direction for a brand-new platform. You will design the frontend infrastructure, build &ldquo;golden&rdquo; component libraries, and make the platform AI-friendly, all while continuing to ship customer-facing features.
You&rsquo;ll combine deep architectural thinking with hands-on development, ensuring that our frontend stack is both elegant and resilient as we scale. Over time, you&rsquo;ll help mentor other frontend engineers and we will build a team around the foundations you create.
What You&rsquo;ll Do<ul><li>
Define Frontend Architecture &ndash; Establish the core architecture and patterns for our web applications, laying the foundation for long-term scalability and performance.</li><li>
Build Golden Libraries &amp; Platform &ndash; Create reusable component libraries and tooling that set the standard for quality and enable rapid, consistent development across the team.</li><li>
Build AI-Driven, User-Focused Features &ndash; While setting up core frontend infrastructure, design and deliver high-impact features that seamlessly integrate AI-powered capabilities, ensuring clarity, usability, and reliability for complex security workflows.</li><li>
Mentor and Influence &ndash; Serve as a mentor and technical leader for future frontend engineers; help us grow a team that values craftsmanship and excellence.</li><li>
Drive Engineering Craftsmanship &ndash; Uphold high standards of code quality, attention to detail, and thoughtful design. Balance speed with sustainable engineering practices.</li></ul>
About You<ul><li>
Have operated at Staff+ level (Staff, Senior Staff, or Principal Frontend Engineer) at some point in your career.</li><li>
5+ years of professional software engineering experience</li><li>
Deep expertise in React, TypeScript, and modern web application architecture.</li><li>
Strong background in frontend infrastructure&mdash;component libraries, build systems, state management, and performance optimization.</li><li>
Demonstrated ability to work autonomously, owning projects end-to-end with minimal oversight</li><li>
Exceptional attention to detail and a passion for engineering craftsmanship.</li><li>
Excellent collaboration and communication skills; thrive in fast-paced, high-impact environments.</li></ul>
Why Cogent Security
Cogent Security is redefining how AI can proactively defend organizations against evolving threats. Our mission is to empower security teams with cutting-edge AI agents and clear, actionable insights. You&rsquo;ll join a high-slope engineering team where your work directly impacts the safety of some of the world&rsquo;s most sophisticated organizations.</div>

Staff Frontend Engineer

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