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Senior Software Engineer, Internal Tooling

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Remote from
USA, APAC, EMEA
Salary
USD 230k–230k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
4 Nov 2026
Listing views
30
Application actions
2
Application toolkit

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AI Summary

The role, at a glance.

This senior platform engineering role builds and scales internal developer tooling, services, and automation for a remote-first monetization infrastructure company. The engineer will improve CI/CD, release canaries, feature flags, access workflows, infrastructure-as-code patterns, and Kubernetes-based services. Success requires strong software development capability alongside practical DevOps, SRE, DevEx, and cloud infrastructure experience. The role also includes on-call preparation, cross-team design collaboration, and leading safe adoption of AI-assisted engineering tools. It is a high-ownership position focused on making secure, self-service engineering practices easy to use across the organization.

Role DNA

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

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe role owns production-impacting internal platforms that support rapid releases and systems handling substantial transaction volume. It requires deep technical judgment across software engineering, cloud infrastructure, security, developer experience, and emerging AI tooling, with substantial independent initiative expected.

Salary analysis

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

Estimated job medianHighly competitive
$230,000
US market range$180k–$260k
AI insightThe disclosed annual compensation is USD 230,000, producing a job median of USD 230,000. For a US-market senior DevOps, platform, or developer-experience engineer, an estimated base-compensation market range is USD 180,000 to USD 260,000 annually; actual total compensation may vary with location, equity, and company stage.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe an internal developer platform or automation you built that measurably improved engineering delivery.

I would explain the developer problem, baseline metrics, architecture, rollout approach, and outcomes such as reduced deployment time, fewer manual steps, or lower failure rates. I would also describe how I gathered feedback and iterated to make adoption straightforward.

How would you design a self-service deployment workflow that preserves security and operational controls?

I would provide opinionated templates and automated guardrails for common paths, including policy checks, least-privilege access, environment promotion controls, audit trails, and automated rollback or canary mechanisms. Teams should be able to deploy independently while the platform enforces safe defaults.

What is your approach to managing infrastructure as code for Kubernetes services?

I use version-controlled, reusable abstractions with peer review, automated validation, clear ownership, and consistent environment configuration. I would combine preview or plan stages, policy checks, tested modules, and observable deployment pipelines to reduce drift and make infrastructure changes safe.

How would you evaluate and introduce AI coding tools across an engineering organization?

I would begin with a constrained pilot focused on measurable productivity use cases, establish data-handling and security requirements, and publish approved usage patterns. I would collect developer feedback and quality metrics, then expand adoption only where tools improve outcomes without weakening review, architecture, or security standards.

Tell us about a time you proactively identified and resolved a reliability or developer-productivity issue.

I would describe how I recognized a recurring pain point through incidents, support requests, or workflow data; quantified its impact; and independently proposed a solution. I would emphasize partnering with affected teams, shipping an incremental improvement, and measuring whether the change reduced toil or improved reliability.

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.

RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC’s S18 batch, we’ve grown into the default monetization platform for mobile.

We’re in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.

We’re a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.

This isn’t the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You’ll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you’ve worked with. If that sounds energizing rather than exhausting, keep reading.

The role:

We are looking for a Senior, proactive Software Engineer to join our Devops/Devex engineering team and help building and scaling the internal development platform. You would be building the tools, services and automations that empower the rest of our engineering team to ship safely and fast.

RevenueCat invests heavily in tooling. We already have custom services for CI/CD, automated one-push-per-commit releases with automatic canaries, Feature Flags, DB query approval workflows, VPN access workflows. We are using Pulumi and python for IaC to describe k8s services and associated infrastructure in a single place. We want to provide autonomy, build a self-serve culture that allows teams to move fast but ensures safety and best practices.

The advent of IA and agentic development is going to change a lot of things, and you will help shape this future fostering adoption while ensuring our security and architectural standards remain sane.

Your job is to take all this to the next level.

About you:

  • You are a Builder: You don’t just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.

  • You are Proactive: You see what is needed, you take action and own problems to turn them into solutions.

  • You love building frameworks, abstractions and automation: You see that the best way to ensure best practices are follow is to make something so easy and joyfull to use that nobody wants to use anything else.

  • You are AI-Curious: You understand how LLMs and AI coding tools are changing engineering and want to help a world-class team leverage them effectively.

  • You move fast, test and iterate quickly.

Preferred Experience:

  • Experience with AWS cloud, k8s, docker, IaC, github.

  • Solid knowledge of Python

In the first month, you’ll:

  • Meet your team!

  • Get up to speed on our unique infrastructure-as-code patterns.

  • Familiarize yourself with our existing internal tools for releases, canaries, and access control.

  • Ship your first project—improving an existing tool or automation.

Within the first 3 months, you’ll:

  • Be able to scope and work on tasks self-sufficiently.

  • Understand most of our internals tools and feel confident making changes to them.

  • Start oncall training.

  • Participate in code reviews, design reviews, brainstorms.

Within the first 6 months, you’ll:

  • Design and ship major initiatives and have a positive impact in the engineering team.

  • Collaborate closely with other engineers, creating ties, understanding their painpoints and starting to become more involve in the roadmap and prioritization of new initiatives.

Within the first 12 months, you’ll:

  • Be the go-to expert for our internal platforms, services and infrastructure abstractions.

  • Have your own initiatives for improving DevOps and DevEx

  • Lead AI tool adoption across the engineering org, following well-stablished patterns for safety and simplicity.

What we offer:

  • Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator

  • 10-year window to exercise vested equity options

  • A fully remote environment designed around autonomy and flexibility

  • 4-5 weeks of flexible time off annually

  • Paid desk at a co-working space

  • Workspace budget and continuous learning stipend

Interviewing at RevenueCat

Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat, including tips to help you succeed.

More on how we work:

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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