Provisioning a new environment by hand, clicking through a cloud console one setting at a time, is the kind of shortcut that costs a team a bad weekend eventually. Infrastructure as Code exists to make that mistake structurally harder to make, and this role is where that discipline gets built and maintained, fully remote, with no office tied to it anywhere in the world.
The work is engineering, not operations support with a different name. You will design, build, and test software components related to Infrastructure as Code, working inside a codebase that treats servers, networks, and cloud resources as version-controlled artifacts rather than manual configurations. Expect close collaboration with cross-functional teams, since an IaC change rarely stays contained to one team's world; a shared module update can affect how three or four other teams deploy their own services the same week.
Code review carries real weight in this role. A single misconfigured permission or an unbounded resource definition, once merged, can propagate across every environment that consumes it, so reviewers are expected to read changes carefully rather than rubber-stamp them.
Testing infrastructure code well is a different exercise than testing application code. You will spend real time on plan-and-apply dry runs, policy checks that catch a resource about to be created outside its intended boundaries, and staged rollouts that catch a bad change in a lower environment before it ever reaches production. Bugs here rarely announce themselves the way an application crash does; they show up as drift between what the code says should exist and what actually does.
A bachelor's degree in computer science, software engineering, or a related field is the baseline, alongside 24 months of hands-on experience building or maintaining Infrastructure as Code. What tends to separate strong candidates is not years alone but a portfolio: pull requests, personal projects, or work samples that show how someone actually structures a codebase, not just that they have touched a provisioning tool once.
Engineers coming from a general software background, a platform team, or a smaller company where infrastructure and application code overlapped tend to transition into this role smoothly, since the underlying discipline, writing testable, reviewable code, is the same regardless of what that code ultimately provisions.
What separates a strong fit from a weak one is usually judgment under ambiguity. Cloud providers change their APIs, deprecate resource types, and shift pricing models often enough that an engineer who only follows documented patterns will eventually hit a wall. Candidates who can reason from first principles about what a piece of infrastructure is actually supposed to do, and adjust when the tool does not behave the way the manual says it should, tend to do well here over the long run.
The required toolkit is fairly standard for modern infrastructure work, though depth matters more than the checklist.
On the nice-to-have side, experience with Terraform, Pulumi, or CloudFormation specifically will shorten the ramp-up considerably, and exposure to Kubernetes, a major cloud provider's IAM and networking model, or prior on-call and incident-response work all count in a candidate's favor without being required.
The position pays 143,000 dollars annually, in line with the specialized nature of the work and the seniority most candidates bring to it. It is a full-time role, and Remoteroles has grouped it under DevOps and SRE alongside a steady run of infrastructure-focused openings for companies building out distributed engineering teams.
Collaboration runs primarily through code review, written design proposals, and a handful of scheduled meetings each week rather than constant real-time syncing. Most engineers on distributed infrastructure teams settle into a few hours of daily overlap with their immediate team, enough to unblock a stuck pull request or talk through an incident, with the rest of the day left open for focused work. On-call responsibilities are shared and rotated, with clear runbooks so no single person is the only one who understands a given system.
Engineers who spend a year or two building out infrastructure code at this level often move toward platform engineering, site reliability leadership, or a staff-level individual contributor track, since treating infrastructure as a first-class codebase sits at the center of how most modern engineering organizations scale their systems.
The team this role sits within typically includes a mix of infrastructure-focused engineers and application engineers who occasionally touch the same repositories, which keeps the work grounded in what product teams actually need rather than infrastructure built for its own sake. Design decisions get documented as written proposals before implementation starts, both so teammates in different time zones can weigh in asynchronously and so the reasoning behind a choice is still findable a year later when someone inherits the system.
Cost also enters the conversation more than it might in pure application engineering. A poorly scoped resource definition does not just risk a security gap; it can quietly run up a cloud bill for weeks before anyone notices, which is one more reason careful review and monitoring are built into how this team works rather than treated as optional polish.
To apply, submit a resume along with a link to relevant code, whether that is a GitHub profile, a portfolio, or specific pull requests you are comfortable sharing. Interviews typically include a technical conversation about a real infrastructure problem, and most candidates hear back on next steps within one to two weeks.