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Software Engineer, Platform Engineering

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Remote from
Argentina
Salary
Undisclosed
Employment
Full Time
Experience
Open level
Published
Apply before
31 Oct 2026
Listing views
157
Application actions
11
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AI Summary

The role, at a glance.

Mural is hiring a senior Platform Engineer to improve the developer experience across its software delivery lifecycle. The role owns build infrastructure for a large TypeScript and Node.js codebase and advances CI/CD practices, automation, reliability, and release workflows. Responsibilities include collaborating with engineering teams, resolving pipeline bottlenecks, maintaining scalable platform capabilities, and supporting internal developer users. Strong Linux, Docker, GitHub Actions, API, Kubernetes, and infrastructure automation experience is central, with Azure, Terraform, Python, Go, and AI-powered developer tooling as valuable additions.

Role DNA

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

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a senior-level platform engineering position supporting critical build, test, and release systems across the organization. It requires broad hands-on expertise in CI/CD, cloud-native operations, automation, developer enablement, and reliable production services.

Salary analysis

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

Estimated job medianMarket rate
$165,000
US market range$140k–$200k
AI insightNo salary range is disclosed. The figures are estimated annual USD base-pay market values for a US-based senior Platform/DevOps Engineer with CI/CD, Kubernetes, cloud infrastructure, and developer productivity responsibilities; actual pay may differ substantially based on location and total-compensation structure.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you identify and address bottlenecks in a large CI pipeline?

I would begin by instrumenting pipeline stages to measure queue time, execution duration, cache hit rates, failure patterns, and flaky-test frequency. I would prioritize the highest-impact constraints, such as inefficient dependency installation or serial jobs, then validate improvements through before-and-after metrics.

Describe how you would design reusable CI/CD components for multiple engineering teams.

I would define versioned, documented templates or actions with clear inputs, secure defaults, and consistent observability. I would gather common team requirements, provide extensibility without excessive configuration, and use gradual adoption plus feedback to improve the shared components.

What practices would you use to operate stateful workloads on Kubernetes reliably?

I would use appropriate StatefulSets, persistent-volume design, backups, tested recovery procedures, resource requests and limits, health checks, monitoring, and capacity planning. I would also document operational runbooks and regularly test scaling and failure scenarios.

How have you improved developer experience through platform engineering?

I focus on removing repetitive work and reducing feedback time, for example through local development tooling, reliable test environments, automated quality checks, and self-service deployment workflows. I measure success through adoption, reduced build duration, fewer support requests, and developer feedback.

How would you evaluate an AI-powered capability for a CI/CD or developer workflow?

I would start with a narrow, measurable use case such as failure summarization, test-selection recommendations, or automated release-note drafting. I would assess accuracy, security, privacy, operational cost, and developer trust, then deploy with human review and metrics before scaling usage.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

ABOUT THE TEAM

The Platform Engineering team builds the tools and services that accelerate the software development life cycle of the software engineers at Mural.

We work on tools that provide a reliable development environment, on tools to easily test locally and remotely, on integrations with Github and Github Actions, and a few other pieces throughout the many stages in our build, test and release pipelines. Our work is essential to Mural’s success, as we maintain the backbone of the platform, enabling seamless user experiences and fostering innovation across the company.

YOUR MISSION

As a Platform Engineer, you will play a crucial role in driving the performance and efficiency of the software development life cycle across the organization. You will be responsible for understanding, maintaining, and evolving existing systems while designing and implementing advanced automation tools and optimized workflows. By enabling developers to build, test, and deploy software rapidly and reliably, your work will directly enhance development cycle performance, boosting productivity and quality across the entire development team. This makes your role essential to Mural’s ongoing success.

WHAT YOU’LL DO

  • Design, implement and maintain the build infrastructure for a large Typescript and NodeJS codebase

  • Collaborate with software developers and platform engineers to define and refine the Continuous Integration and Continuous Delivery processes and its best practices.

  • Identify and address bottlenecks, performance issues, and opportunities for automation within the development pipeline in order to speed up the whole development experience.

  • Develop and maintain scalable platform features, ensuring the reliability, availability, and scalability of our software delivery processes.

  • Care deeply about the problems and needs of our customers, which are all the engineers in the organization, and on training and supporting them to better use the tools we build to improve their quality of life

WHAT YOU’LL BRING

  • 5+ years of experience working on the backend, integrations or CI/CD pipelines of a high-performing engineering team

  • Experience building reusable components and libraries, with an understanding of scalable architecture.

  • Excellent communication skills, with a focus on documenting solutions and providing clear technical guidance

  • A strong sense of ownership over critical problem areas

  • A thorough understanding of Linux, Docker and CI tools like Github Actions or similar

  • Experience in designing, implementing and documenting API services

  • Understanding of the NodeJS and Typescript ecosystems, and its automated build and testing tools is a plus

  • Kubernetes, Python, Golang, Terraform and Azure Cloud knowledge is another plus

  • Experience managing stateful Kubernetes workloads, including operating, scaling, troubleshooting, and improving the reliability of production-grade services

  • Comfortable designing and programming custom operators to automate platform workflows, extend infrastructure capabilities, and improve reliability across development and delivery systems

  • Experience designing and building AI-powered platform capabilities that improve developer productivity, automate engineering workflows, or enhance CI/CD, observability, testing, and release processes

  • A proactive, ownership-driven approach to troubleshooting and supporting critical technical areas

  • Experience in making data-driven decisions

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. .

Equal Opportunity

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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