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cloud security engineer

Hex Technologies

SF, NYC, or Remote (USA)
 About the role
 
We are looking for an experienced Cloud Security Engineer to join Hex’s security team. You will be responsible for ensuring the security and resilience of our cloud infrastructure, providing leadership in cloud security practices, and collaborating closely with our infrastructure and engineering teams to secure our cloud-native applications.
 
About the role: 
Design, implement, and manage security solutions and controls for AWS environments and Kubernetes clusters, including appropriate isolation/sandboxing methods for Hex’s RCE-as-a-Service platform
 Build, deploy, and maintain infrastructure-as-code using Terraform, ensuring robust security standards are enforced.
 Conduct security assessments, threat modeling, and audits on AWS cloud infrastructure and Kubernetes deployments.
 Collaborate with development and operations teams to embed security best practices into CI/CD pipelines.
 Monitor and respond to cloud security incidents, identifying root causes and recommending remediation actions.
 Provide expertise in compliance requirements related to cloud security (e.g., SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS).
 Mentor engineers and advocate for cloud security across the organization.
 
About you: 
5+ years of experience in cloud security engineering, with extensive expertise in AWS.
 Demonstrated proficiency with Kubernetes security including cluster hardening, role-based access control (RBAC), network policies, and container vulnerability management.
 Expert-level knowledge and hands-on experience with Terraform.
 Familiarity with AWS security services (e.g., IAM, GuardDuty, Security Hub, CloudTrail, WAF).
 Familiarity with CNAPP solutions such as Wiz
 Familiarity with SIEM solutions such as Panther
 Solid understanding of secure software development lifecycle practices, CI/CD security, and DevSecOps methodologies.
 Relevant certifications such as AWS Certified Security – Specialty, Certified Kubernetes Security Specialist (CKS), and Terraform Associate certification are highly desirable.
 Bonus points for security certifications from SANS or OffSec.
 Excellent problem-solving, communication, and leadership skills.
 Our Engineering team
 
We’re a group of engineers who are forging new ground together and love partnering with Security on our journey to pull ahead of our competition. You can read about how we think through problems as well as how we learn from mistakes on our blog here:
 
How we took down production…
 Beyond Linear Notebooks
 A pragmatic approach to live collaboration
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $200,000 - $265,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

Cloud Security Engineer

Decagon

<div>About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block&rsquo;s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We&rsquo;re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We&rsquo;re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values &mdash; Just Get It Done, Invent What Customers Want, Winner&rsquo;s Mindset, and The Polymath Principle &mdash; shape how we work and grow as a team.
About the Team
The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with complete trust while defending against sophisticated, AI-enabled threats at massive scale.
Our mission is to secure our growing platform, ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy.
About the Role
Help build and scale the security foundations of Decagon AI's customer experience platform that powers AI agents for enterprise customers. You'll work with the head of Security to implement security controls, build security tooling, and strengthen our defenses against modern, AI-enabled threats while maintaining an enterprise-ready security and compliance posture. This role combines hands-on security engineering with software development. You'll build automated remediation tools, work on detection pipelines, and partner with engineering teams to improve security across our platform. Decagon's team is some of the best in the industry, so you'll work alongside a skilled and enthusiastic team.
In this role, you will<ul><li>
Implement security controls across our agent platform, covering application security, infrastructure security</li><li>
Build security tooling and automation, including automated remediation pipelines, detection systems, and testing frameworks integrated into CI/CD workflows</li><li>
Partner with engineering teams to design and review authentication systems, secrets management, and access controls</li><li>
Create detection pipelines that scale with millions of daily AI agent interactions</li><li>
Contribute to security incidents affecting operations, supporting rapid resolution while maintaining service availability</li></ul>
Your background looks something like this<ul><li>
Have 3+ years of experience in security engineering, with strong software engineering fundamentals</li><li>
Familiarity with application security concepts including authentication, authorization, vulnerability assessment, and secure development practices</li><li>
Ability to write production-quality code; you can build the tools and automation the team needs, not just identify problems</li><li>
Experience with cloud security fundamentals, ideally Google Cloud</li><li>
Exposure to enterprise security requirements such as SOC 2, ISO 27001, or GDPR</li><li>
Natural curiosity about new technologies and approaches to security problems</li><li>
Excited to work with bright colleagues out of our downtown San Francisco office</li></ul>
Even better<ul><li>
Experience building developer tools, security automation, or remediation pipelines</li><li>
Background with static analysis tools (Semgrep, CodeQL) or vulnerability management platforms</li><li>
Familiarity with securing AI/ML applications, including awareness of risks like prompt injection and adversarial inputs</li><li>
Experience with infrastructure as code (Terraform) and modern cloud development practices</li><li>
Comfortable working across the entire stack to solve problems</li></ul>
Compensation
$200K &ndash; $330K + Offers Equity
Benefits
We proudly offer the following benefits for our full-time employees:<ul><li>
Take what you need vacation policy</li><li>
Medical, Dental, and Vision benefits for you and your family</li><li>
Life Insurance and Disability Benefits</li><li>
Retirement Plan (e.g., 401K, pension)</li><li>
Parental Leave</li><li>
Fertility and family building benefits through Carrot</li><li>
Daily lunches and snacks in the office to keep you at your best</li></ul>
These benefits are described in more detail in Decagon&rsquo;s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Compensation Range: $200K - $330K</div>

Security Engineer

Weekday (YC W21)

<div>
 
 Location: San Francisco / Hybrid / On-site
 
 Experience: 3&ndash;10 years
 
 Stage: Seed &rarr; Series B
 
 Role Type: Early hire / founding engineer
 
 Compensation: $150k to $300k
 
 
 Full time position
 
 
 This role is for a client of Weekday
 
 
 Why This Role Exists
 
 
 
 
 You&rsquo;ll design and build the systems that power the product &mdash; from APIs and data models to real-time pipelines and secure infrastructure. You&rsquo;ll be a core technical owner working directly with the founders.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 
 Architect backend services and distributed systems
 
 
 </li>
 <li>
 
 Build scalable APIs and async workflows
 
 
 </li>
 <li>
 
 Ship full-stack features when needed
 
 
 </li>
 <li>
 
 Own performance, reliability, and security
 
 
 </li>
 <li>
 
 Work directly with founders on technical direction
 
 
 </li>
 <li>
 
 Set engineering standards and tooling
 
 
 </li>
 <li>
 
 Leverage AI developer tools to accelerate delivery
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 
 Strong Python (Django/FastAPI) or Go
 
 
 </li>
 <li>
 
 Solid React experience
 
 
 </li>
 <li>
 
 Proven production system design
 
 
 </li>
 <li>
 
 Cloud-native on AWS
 
 
 </li>
 <li>
 
 Startup mindset and comfort with ambiguity
 
 
 
 </li>
 </ul>
 Nice to Have
 
 
 
 <ul>
 <li>
 
 Kafka / message queues
 
 
 </li>
 <li>
 
 Postgres / DynamoDB
 
 
 </li>
 <li>
 
 Terraform / Kubernetes
 
 
 </li>
 <li>
 
 Regulated environments (healthcare / fintech)
 
 
 </li>
 <li>
 
 LLM integrations, AI observability, or internal AI tooling
 
 
 
 
 
 </li>
 </ul>
</div>

Founding Software Engineer

Lambda

<div>Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.<div><ul><li> 
Note: This position requires presence in our San Francisco office location 4 days per week; Lambda&rsquo;s designated work from home day is currently Tuesday.</li></ul></div> 
Role Summary
Build and scale Lambda&rsquo;s Identity and Access Management (IAM) platform, enabling secure, reliable and intuitive access control across all products and customers.
As a Senior Engineer, you will own the design and implementation of core IAM capabilities such as RBAC, authentication flows, and identity lifecycle systems. You&rsquo;ll work within Lambda&rsquo;s broader IAM architecture to deliver systems that are secure, scalable and easy for developers and customers to use.
This role is ideal for engineers who enjoy working on security-critical systems, care deeply about correctness and usability, and can independently drive complex features from design through production. IAM is a critical foundation for Lambda&rsquo;s enterprise readiness and will shape how customers securely access compute, data, and infrastructure at scale.
What you&rsquo;ll Do<ul><li>
Design and implement core IAM components including identity models, authentication flows and authorization systems</li><li>
Build and evolve enterprise IAM features such as RBAC, SSO (SAML/OIDC), SCIM provisioning, MFA, and audit logging</li><li>
Own end-to-end delivery of IAM features from technical design to production rollout and monitoring</li><li>
Collaborate with teams across API Experience, Billing, Core Cloud Platform, Console Experience, Infrastructure and Security to integrate consistent identity and access patterns across systems</li><li>
Contribute to API design and ensure consistency in identity and permission semantics across services</li><li>
Participate in design reviews and provide thoughtful input on system architecture and tradeoffs</li><li>
Debug and resolve complex production issues in security-sensitive systems</li><li>
Improve system reliability, observability, and operational workflows for IAM services</li><li>
Mentor junior engineers and contribute to raising the bar on engineering quality</li></ul>
You (Must-Haves)<ul><li>
5+ years of backend or platform engineering experience</li><li>
Strong experience building or working on authentication and/or authorization systems</li><li>
Solid understanding of IAM fundamentals:<ul><li>
Authentication (OAuth2, OIDC, SAML)</li><li>
Authorization (RBAC, ABAC, or similar models)</li><li>
Identity lifecycle concepts (provisioning, deprovisioning)</li></ul></li><li>
Experience building distributed systems in a cloud or SaaS environment</li><li>
Strong coding skills in Python or Go, with experience building production backend systems</li><li>
Experience designing APIs and working with service-oriented architectures</li><li>
Ability to independently own projects and deliver high-quality systems</li><li>
Strong debugging, problem-solving, and communication skills
</li></ul>Nice-to-Haves<ul><li>
Experience with enterprise IAM features (SSO, SCIM, MFA, audit logs)</li><li>
Familiarity with identity providers (Okta, Auth0, WorkOS)</li><li>
Exposure to multi-tenant system design</li><li>
Experience working on developer platforms or infrastructure products</li><li>
Understanding of security best practices in cloud environments</li><li>
Ability to interact directly with customers and partner with product to understand their IAM requirements</li><li>
Strong academic background (EECS, Math, Software Engineering, Physics, or related fields)</li></ul>
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. 
About Lambda<ul><li>
Founded in 2012, with 500+ employees, and growing fast</li><li>
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK &amp; Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove</li><li>
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG</li><li>
Our values are publicly available: https://lambda.ai/careers</li><li>
We offer generous cash &amp; equity compensation</li><li>
Health, dental, and vision coverage for you and your dependents</li><li>
Wellness and commuter stipends for select roles</li><li>
401k Plan with 2% company match (USA employees)</li><li>
Flexible paid time off plan that we all actually use</li></ul>
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Compensation Range: $296K - $445K</div>

Senior Software Engineer - IAM

Arcadia

<div>
 
 
 
 ***This role is unable to provide sponsorship, a visa transfer, or work on a C2C basis. Candidates MUST be permanent residents of the United States****
 
 
 
 
 
 
 
 
 🚀 About the Role
 
 
 
 A fast-growing SaaS startup in the cloud financial management space is hiring a Data Engineer to own and scale the data infrastructure powering a platform built for large enterprises with complex cloud spending needs. This is a technically rich role for an engineer who loves wrangling massive volumes of semi-structured data, building bulletproof pipelines, and caring deeply about data quality end to end.
 
 
 
 
 
 You'll work across the full data stack, from pipeline architecture to schema design to quality control, in an environment where your work directly drives high-stakes financial decisions for enterprise customers.
 
 
 
 
 
 
 
 ***Candidates must currently be located in the San Francisco Bay Area. This role is hybrid (3 days in-office, 2 days remote) in the SF Financial District***
 
 
 
 
 
 
 
 
 
 ***This role is unable to provide sponsorship, a visa transfer, or work on a C2C basis. Candidates MUST be permanent residents of the United States***
 
 
 
 
 
 
 
 
 🛠 What You'll Do
 
 
 <ul>
 <li>
 Design efficient data storage and retrieval systems using ClickHouse, Parquet, and S3
 </li>
 <li>
 Build and maintain ETL pipelines processing hundreds of millions of rows of cloud billing data
 </li>
 <li>
 Develop robust data validation and quality control systems in Python and SQL
 </li>
 <li>
 Design and evolve data models for complex, constantly changing cloud billing schemas
 </li>
 <li>
 Build and optimize Airflow workflows for reliable, scalable data processing
 </li>
 <li>
 Collaborate with the engineering team to investigate and resolve data quality issues
 </li>
 <li>
 Scale data infrastructure as the platform expands to new cloud providers and use cases
 </li>
 </ul>
 
 
 
 
 
 ✅ What We're Looking For
 
 
 <ul>
 <li>
 3+ years of experience with data products: warehouses, lakehouses, OLAPs, ETL pipelines, or job queues
 </li>
 <li>
 Intermediate to strong Python skills with a software engineering foundation
 </li>
 <li>
 Strong SQL chops including CTEs, window functions, and query optimization
 </li>
 <li>
 Experience building data validation and quality control systems
 </li>
 <li>
 Comfort with columnar databases, Parquet, and cloud storage (S3)
 </li>
 <li>
 Startup experience and the ability to move fast in ambiguous, evolving environments
 </li>
 <li>
 A genuine fastidiousness about data quality, even when there's no answer key
 </li>
 </ul>
 
 
 
 
 
 ⭐ Bonus Points For
 
 
 <ul>
 <li>
 Hands-on experience with ClickHouse or other OLAP datastores
 </li>
 <li>
 Familiarity with cloud billing data or cost management tooling (AWS CUR, etc.)
 </li>
 <li>
 Experience with Airflow or similar workflow orchestration tools
 </li>
 <li>
 Backend engineering experience beyond data pipelines
 </li>
 </ul>
 
 
 
 
 
 💥 Why Apply?
 
 
 <ul>
 <li>
 End-to-end ownership of data products that directly impact enterprise customer outcomes
 </li>
 <li>
 Genuinely complex technical challenges at scale in a specialized, fast-growing domain
 </li>
 <li>
 Small, senior team where your contributions are visible and matter immediately
 </li>
 <li>
 Ground-floor opportunity at a well-backed startup with real revenue and strong domain expertise
 </li>
 </ul>
 
 
 
 
 
 
 ***This role is unable to provide sponsorship, a visa transfer, or work on a C2C basis. Candidates MUST be permanent residents of the United States***
 
 
 
 
 
</div>

Data Engineer

Genentech

<div><div><div>THE POSITION</div>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That&rsquo;s what makes us Roche.
Advances in AI, data and computational sciences are transforming drug discovery and development. Roche&rsquo;s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&amp;D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide.
Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making.
The Solutions team within the DDC Organization develops modernized and interconnected computational and data ecosystems. As a Site Reliability Engineer in the Solutions Engineering capability, you will work closely with our engineering colleagues to play a pivotal role in designing, implementing, and maintaining scalable, resilient, and supportable cloud-based platform solutions.
The focus will be on enabling research Application, Machine Learning (ML) workloads and HPC environments through automation, efficient resource management, and Infrastructure as Code (IaC) using tooling. As a member of the DDC team you will help mature the scalable platforms that help unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients. 
The Opportunity:
Infrastructure as Code (IaC) Design and Implementation<ul><li>
Architect and implement IaC solutions using tools like Terraform, Spacelift, or CloudFormation to provision and manage cloud infrastructure for ML and HPC workloads. Automate the deployment of scalable ML pipelines, HPC clusters, and supporting services across global regions.</li></ul>
Global Availability and Resiliency<ul><li>
Architect resilient and highly available solutions for ML and HPC workloads using cloud-native practices such as auto-scaling, load balancing, and failover mechanisms. Implement disaster recovery (DR) and business continuity plans for critical systems to ensure global operational integrity. Conduct chaos engineering experiments to validate system reliability and identify potential weaknesses.</li></ul>
Automation and Observability<ul><li>
Develop automation scripts and workflows to streamline infrastructure management, deployment, and scaling for ML and HPC use cases. Implement robust monitoring, logging, and alerting frameworks using tools like Prometheus, Grafana, Datadog, or ELK Stack to provide deep insights into system health and performance. Knowledge of AIOps incident management, processes and tooling.</li></ul>
Collaboration and Leadership<ul><li>
Provide technical leadership to a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement. Partner with cross-functional teams to align infrastructure solutions with business objectives and ML/HPC workload requirements. Mentor and train junior engineers in IaC practices, ML, and HPC infrastructure design.</li></ul>
Cost Optimization and Governance<ul><li>
Monitor and optimize cloud infrastructure usage and costs for ML and HPC workloads. Ensure compliance with organizational security, governance, and regulatory policies in all IaC and cloud implementations.</li></ul>
Who You Are:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or similar technical field, or equivalent experience and 7+ years of experience in software engineering Site Reliability Engineering (SRE).</li><li>
Proven expertise in supporting and deploying IaC solutions in cloud environments (AWS, Azure, or GCP) for ML and HPC workloads.</li><li>
Background in MLOps pipelines, including model versioning, CI/CD for ML, and feature store integration including experience with managed ML services (e.g., AWS SageMaker, Google AI Platform, or Azure ML).</li><li>
Deep understanding of cloud-native architectures, including autoscaling, serverless, and multi-region deployments.</li><li>
Technical Skills:<ul><li>
Advanced proficiency with IaC tools: Terraform, Pulumi, or CloudFormation.</li><li>
Expert in scripting and automation: Python, Bash, or Go.</li><li>
Strong understanding of GPU-accelerated computing (e.g., NVIDIA CUDA, TensorFlow) and HPC workload scaling.</li><li>
Knowledge of distributed systems, storage solutions, and data pipelines.</li><li>
Familiar with monitoring and observability tools: Prometheus, Grafana, Datadog, or similar.</li></ul></li><li>
Soft Skills:<ul><li>
Strong problem-solving skills, with a methodical approach to troubleshooting.</li><li>
Excellent communication, leadership, and mentoring abilities.</li><li>
Ability to work collaboratively across teams in a fast-paced, dynamic environment.</li></ul></li></ul>
Preferred Qualifications<ul><li>
Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect).</li><li>
Experience with distributed ML frameworks and data engineering pipelines (e.g., Horovod, TensorFlow Distributed, Apache Airflow, Apache Spark ).</li><li>
Experience with compliance frameworks (e.g., GDPR, SOC 2, ISO 27001).</li></ul>
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $162,600 - $302,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#LI-JD1
#ComputationCoE
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 13th 2026
</div><div>Job ID
202604-108676</div></ul></div></div></div></div>

Principal Site Reliability Engineer (Intelligent Automation)

FriendliAI

<div><h3 class="jobSectionHeader">About the Job</h3>
We&rsquo;re seeking a Full-Stack Engineer to design, build, and scale our web platform, which serves as the core interface for deploying multimodal models, observing workloads, and building agent workflows. In this role, you&rsquo;ll work closely with product, infrastructure, and design teams to create high-performance, developer-friendly, and enterprise-ready tools.
We are looking for a hands-on engineer who is eager to work at the intersection of infrastructure, developer experience, and AI applications. The ideal candidate is a talented full-stack developer, strong collaborator, and someone who enjoys working across the stack, cares deeply about developer workflows, and is excited to help define the future of AI adoption.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, and maintain web applications and tools for AI model deployment, monitoring, and performance optimization</li><li>
Develop clean, scalable, and robust APIs powering AI agents, workflows, and user-facing systems</li><li>
Collaborate with infrastructure engineers to integrate backend systems with deployment and orchestration pipelines</li><li>
Optimize the performance and usability of web interfaces</li><li>
Drive code quality through automated testing, CI/CD, and code reviews</li><li>
Contribute to architecture and design decisions that shape our platform&rsquo;s long-term direction</li><li>
Identify and resolve technical debt and improve system reliability in production systems</li></ul><h3 class="jobSectionHeader">
Qualifications</h3><ul><li>
5+ years of industry experience in full-stack or backend engineering</li><li>
Bachelor&rsquo;s or Master's degree in Computer Science, Computer Engineering, or equivalent</li><li>
Fluent in TypeScript and Python, Expert with React/Next.js</li><li>
Strong backend experience with FastAPI or similar Python frameworks</li><li>
Proven expertise in delivering production-scale full-stack applications</li><li>
Proficiency in designing data models, writing SQL, and working with PostgreSQL</li><li>
Deep understanding of modern web frameworks and component-driven architecture</li><li>
Strong API design experience across gRPC/REST/GraphQL in production systems</li><li>
Solid foundation in cloud-native development</li><li>
Familiarity with OpenTelemetry tracing, metrics, and structured logging</li><li>
Knowledge of web security, authentication, RBAC, and multi-tenant SaaS systems</li></ul><h3 class="jobSectionHeader">
Preferred Experience</h3><ul><li>
Familiarity with LLM-based workflows, tool invocation, or agentic systems</li><li>
Familiarity with Kubernetes for container orchestration, including deploying, scaling, and managing containerized applications in production environments</li><li>
Have worked in a startup or fast-paced environments with ownership and ambiguity</li><li>
Built developer-facing SDKs/CLIs</li><li>
Passion for developer experience and enabling AI adoption</li></ul><h3 class="jobSectionHeader">
Benefits</h3><ul><li>
Flexible working hours</li><li>
Daily lunch and dinner provided; unlimited snacks and beverages</li><li>
Supportive and highly collaborative work environment</li><li>
Health check-up support and top-tier equipment/hardware support</li><li>
A front-row seat to the generative AI infrastructure revolution</li><li>
Competitive compensation, startup equity, health insurance, and other benefits.</li></ul><h3 class="jobSectionHeader">
About FriendliAI</h3>
FriendliAI is building the world&rsquo;s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 500,000 open-source models.
We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.</div>

Software Engineer - Full Stack

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