[All remote jobs](https://jobicy.com/jobs.md)[![Elevenlabs logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/e01b4c5d-221.png)](https://jobicy.com/company/elevenlabs.md)[Elevenlabs](https://jobicy.com/company/elevenlabs.md)

# Full-Stack Engineer (Backend Leaning) – Platform Engineering

AI Summary ElevenLabs is seeking a backend-leaning full-stack engineer to build the core platform services that underpin user, workspace, identity, permission, and resource-management capabilities. The role involves delivering secure customer-facing and internal platform features across Python backend services and administrative user interfaces. The engineer will scope changes in a large production system, plan safe rollouts and migrations, debug live issues, and own work from design through operations. Strong system-design judgment, testing discipline, security fundamentals, and comfort with ambiguous high-impact problems are central to success. Experience with authentication, authorization, Kubernetes, and internal developer platforms is especially valuable.[Apply for this job](#job-application)[View company](https://jobicy.com/company/elevenlabs.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Europe](https://jobicy.com/job-region/europe.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceOpen levelPublished4 Nov 2026Apply before4 Dec 2026Listing views23Application actions2Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

Opportunity details

## About this role.

### About ElevenLabs

ElevenLabs is an AI research and product company transforming how we interact with technology.

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses – from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world’s most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We’ve raised $781M in funding and our last valuation was $22B – multiples of 11, always.

We have expanded from voice into three main platforms:

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ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

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ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.

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ElevenAPI gives developers access to our leading AI audio foundational models.

Everything we do is the result of the creativity and commitment of our team – builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

### How we work

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High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

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Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.

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AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.

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Excellence everywhere: Everything we do should match the quality of our AI models.

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Global team: We prioritize your talent, not your location.

### What we offer

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Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.

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Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact – beyond your immediate role and responsibilities.

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Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.

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Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.

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Annual team offsite: Each year, we bring your entire team together in a new location – past offsites have included Croatia, Italy and Cancún

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Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

### About the role

Core Platform builds the foundations every other team at ElevenLabs builds on: how users, workspaces and permissions work across our products. Our systems sit on the path of every request and are relied on by millions of users and by enterprise customers, so correctness, security and safe rollout matter as much as speed.

We are hiring full stack engineers (backend leaning) for two focus areas. Depending on the team you join, your responsibilities might include:

Workspaces & User Management (serving external customers)

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Building and improving the building blocks customers touch directly: API keys, login experience, analytics, admin tooling, workspace security and more

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Working closely with Sales, FDEs and customer teams to turn enterprise and self-serve feedback into the right improvements, and helping large customers with complex organisational structures.

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Shipping customer-facing features end to end, from backend services to the admin and settings UI.

Permissions & Resources (serving ElevenLabs engineering teams)

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Designing and building generic resource and permissioning services that product teams use to build features safely and quickly.

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Solving hard, largely greenfield problems at scale, for example how a customer with a million agents assigns and manages access.

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Working across product teams to understand their needs, and driving adoption with changes that don’t require every team to rework their code.

In both teams you will:

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Scope work as part of a large existing system: understand what exists, what could go wrong on rollout, whether a migration is needed, and how downstream teams are affected.

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Roll out changes safely and with minimal disruption to existing users, teams or systems.

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Debug and operate what you build, working from customer reports, logs and code.

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Own features from scoping to completion, with the support of experienced engineers who are happy to mentor.

### Requirements

We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require:

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Expertise in Python.

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A strong background in backend development, with comfort working across the stack where the work needs it.

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Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures.

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Strong test design and security fundamentals.

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Care and attention to detail when changing live, business-critical systems, and the ability to learn a large existing codebase quickly.

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Comfort with ambiguity: working out what should be built, and prioritising among competing signals.

Bonus:

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Experience with authentication, authorization or permissioning (OAuth, SSO/SCIM, RBAC or similar).

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Experience with Kubernetes.

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Experience building internal platforms or services used by other engineering teams.

### Location

Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw.

#LI-Remote

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Show more

[Apply now >](https://jobicy.com/jobs/158945-full-stack-engineer-backend-leaning-platform-engineering.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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![Upload CV](data:image/svg+xml;base64,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)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a high-complexity platform role involving business-critical systems used by millions of users and enterprise customers. It requires strong Python and systems-design expertise, security awareness, careful rollout practices, and independent decision-making in ambiguous situations.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$180,000US market range (per year)$140k–$230k0$253.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base salary was disclosed. The annual cadence and USD market estimate are inferred for a senior-level backend-leaning full-stack platform engineering role in the US market; estimates are not verified employer compensation.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Backend Development](https://jobicy.com/jobs?search_keywords=Backend%20Development.md)[Full-Stack Development](https://jobicy.com/jobs?search_keywords=Full-Stack%20Development.md)[API Design](https://jobicy.com/jobs?search_keywords=API%20Design.md)[System Design](https://jobicy.com/jobs?search_keywords=System%20Design.md)[Cloud Infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20Infrastructure.md)[Database Design](https://jobicy.com/jobs?search_keywords=Database%20Design.md)[Data Structures](https://jobicy.com/jobs?search_keywords=Data%20Structures.md)[Software Testing](https://jobicy.com/jobs?search_keywords=Software%20Testing.md)[Application Security](https://jobicy.com/jobs?search_keywords=Application%20Security.md)[Authentication](https://jobicy.com/jobs?search_keywords=Authentication.md)[Authorization](https://jobicy.com/jobs?search_keywords=Authorization.md)[RBAC](https://jobicy.com/jobs?search_keywords=RBAC.md)[OAuth](https://jobicy.com/jobs?search_keywords=OAuth.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)

Sample interview questionsHow would you design a permission model for an organization with millions of agents and many different resource types?I would begin by defining the resource hierarchy, actors, actions, tenancy boundaries, and required authorization guarantees. I would favor a centralized policy and authorization service with clear APIs, support for role- and relationship-based access where appropriate, efficient policy evaluation, audit logging, and carefully designed caching with explicit invalidation behavior. I would also plan migration paths, load testing, and staged rollout controls before introducing the model to dependent teams.

Describe how you would safely roll out a change to a business-critical API used by internal and external customers.

I would first assess compatibility, downstream dependencies, failure modes, and whether a data migration is needed. I would introduce versioned or backward-compatible behavior, feature flags, observability dashboards, alerts, and a documented rollback path. I would then deploy progressively, validate real production behavior against success metrics, and communicate timing and integration changes clearly to affected teams.

What principles guide your test design for authentication and authorization systems?

I test positive and negative paths, tenant isolation, privilege escalation attempts, expired credentials, revoked access, malformed inputs, and race conditions around role changes. I combine unit tests for policy logic, integration tests for service boundaries, end-to-end tests for critical user flows, and regression tests for previously discovered vulnerabilities. I also ensure auditability and validate that failures default to secure behavior.

How do you approach understanding a large existing codebase before making a substantial change?

I map the relevant request flow, domain model, service boundaries, data stores, and ownership areas before coding. I use logs, traces, dashboards, tests, documentation, and conversations with maintainers to validate assumptions and identify hidden dependencies. I then propose a small, reversible implementation plan with explicit risks, milestones, and validation criteria.

Tell us about a time you had to make progress despite ambiguous product or technical requirements.

I would clarify the desired user outcome, identify the decisions that must be made now versus later, and gather evidence from users, stakeholders, system constraints, and operational data. I would present a few viable options with trade-offs, recommend a reversible path, and define metrics that show whether the choice is working. This allows the team to move quickly while reducing the cost of being wrong.

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