The phrase DevOps Engineer can conceal quite different jobs. One vacancy asks an engineer to improve the path from code commit to production; another places the engineer inside a cloud, security, data, or specialist platform team. This report asks a narrower question: what do current U.S. vacancies that explicitly assign software delivery engineering ask a person to do, produce, and know? It examines 106 individual requisitions from 95 named employers, retrieved and rechecked on 14 October 2026. The result is a picture of stated work in a selected group of openings, not a count of all U.S. jobs or a prediction of hiring.

The central pattern is an engineered delivery path. Engineers configure pipelines, automate build and validation steps, manage the flow of code and deployable artifacts, control deployments, and read the feedback when delivery fails or a service changes. The work is visible in versioned pipeline definitions, scripts, test results, container images, promotion rules, rollback paths, monitoring, and documentation. Yet the postings vary sharply in seniority, industry, operating environment, and authority. A beginner can use this evidence to understand the work without assuming that a senior platform architect's responsibilities are an entry-level requirement.

How the vacancies were selected and read

The study used a structured purposive sample of individual employer or authorized recruiting pages. A posting had to show a U.S. work location or explicitly U.S.-eligible remote scope, an available Apply path or equivalent live-status evidence, enough job detail to code its duties, and at least two explicit central delivery-engineering duty families. Those families were pipeline configuration or maintenance; automated build, validation, or testing in the delivery path; source, dependency, artifact, or provenance flow; staged deployment, promotion, or rollback automation; and feedback on pipeline or deployment reliability. Close titles such as Platform Engineer, Build and Release Engineer, CI/CD Engineer, and Site Reliability Engineer qualified only when those duties were central. A job title alone did not qualify it.

The screening excluded non-U.S. or geographically ambiguous jobs, closed or stale listings, search results without a verifiable current detail page, cloud infrastructure roles without delivery automation, release coordination without pipeline engineering, QA roles without delivery-system ownership, and security operations without that ownership. Records were checked for duplicates using normalized employer, requisition ID where available, canonical URL, title and location, and materially identical text. A separate currentness check found six closed candidate listings and retained 106 confirmed-current requisitions. The selected rows span 11 source families: Greenhouse (36), Ashby (21), Workable (11), Workday (10), direct employer career sites (8), Paylocity (6), iCIMS (6), Jobvite (4), SmartRecruiters (2), Lever (1), and UKG (1). These are routes through which employers published jobs, not independent samples of the labor market.

Each included page was coded for duties, outputs, named tools, qualifications, level, cadence, interfaces, and responsibility or escalation where the text supported it. A coded mention means that the posting explicitly said something; an unreported field remains unknown. For example, 88 of the 106 included postings had no verified posting date. The live Apply path supports a point-in-time currentness judgment on 14 October, not a promise that the job will remain open. The counts below are calculated from the 106-row vacancy matrix, using the 106 selected requisitions as the denominator unless otherwise stated.

The selection rule matters to interpretation. Requiring two central duties raises the observed frequency of CI/CD and deployment work inside this sample. The counts are conditional posting mentions, never estimates of national role prevalence, total openings, employer demand over time, or a hiring forecast. A posting may also omit routine work that its engineer actually performs.

The delivery path employers assign

Pipeline engineering is the most frequently coded family: 95 of 106 postings explicitly mention CI/CD pipelines. 71 mention deployment automation, 57 build or test automation, 43 delivery feedback, and 31 source or artifact flow. These labels overlap. 65 postings mention both CI/CD pipelines and deployment automation, while 50 mention both CI/CD and build or test automation. The overlap shows why “pipeline” is more than a tool name: the work often connects code changes to validation and release. It does not imply that all 106 requisitions ask for an identical end-to-end system.

At the source and build end, the engineer may define reproducible jobs, connect version control to a build runner, make tests run at useful stages, and diagnose failures that slow developers. GRAIL's staff build role focuses on Bazel build rules and test execution in a large monorepo. HopSkipDrive's staff quality-infrastructure role emphasizes CI time, flaky tests, and critical-journey coverage. Both are delivery-system engineering because they improve the path and feedback used by product teams; neither makes every DevOps role a large-monorepo or quality-platform job. Repario Data's DevOps posting provides a different example: unit, functional, and integration tests embedded in code and pipeline deployments.

Artifact handling is a distinct step between a successful build and a controlled rollout. Versioning, publishing, scanning, signing, and promoting a known artifact make it possible to answer what was built and what is running. OpenTeams' platform opening names versioned, signed, scanned release artifacts and accompanying documentation. Origami Risk's platform DevOps role names shared pipeline templates, immutable container images, and a gated promotion path. Kairos Power's senior posting specifically emphasizes publication and versioning so consumers can identify their software. Those are concrete outputs; they should not be collapsed into a vague requirement to “know CI/CD.” The Kairos and OpenTeams contexts also have their own organizational constraints, so their exact controls cannot be treated as universal.

Deployment work includes the scripts, configuration, environment gates, promotion rules, and recovery procedures that move a known build into use. BusPatrol's senior posting ties pipeline maintenance to build, test, promotion, rollback, and change visibility. MyFitnessPal's SRE posting asks for senior-level production ownership and describes CI/CD and safe deployment strategies, including canary rollout and rapid rollback. TherapyNotes' build-and-release opening adds automated validation, recovery, and reusable workflows. An SRE or release-flavored title can therefore enter this study when the person engineers the delivery path. It does not mean all SRE or release roles have the same remit.

Feedback closes the loop. Some postings call for monitoring and alerting configuration, pipeline health, build-failure diagnosis, or production troubleshooting. A delivery engineer uses that feedback to repair a failed job, separate application defects from delivery-system faults, and improve the path after an incident. System Automation Corporation's SRE opening links pipeline maintenance with safe shipping by developers; Octus' DevOps opening connects automated build, test, and deployment with on-call operation. DORA's software-delivery metrics guidance offers a separate conceptual lens for feedback, but it does not measure these vacancies or prescribe a benchmark for them.

What the engineer produces and needs to know

The output is usually a maintained system, not a one-time diagram. The matrix records recurring types of deliverable: pipeline configurations and reusable templates; build and test evidence; versioned packages or images; deployment workflows and promotion gates; rollback procedures; monitoring or alerting configuration; and runbooks. Origami Risk is unusually explicit about the sequence from build and test through scan, containerize, publish, and deploy. Hyper Solutions frames its output as a release pipeline moving code from merge to production, with rollback procedures, runbooks, and version-controlled operational policies. These examples reveal what can be reviewed or handed to another team. They do not establish that every posting requires every output.

The hard skills follow the path. Across these selected postings, named skills include reading and changing pipeline definitions; scripting repeatable tasks; working with source control, dependencies, builds, and tests; handling artifacts and registries; defining deployment and rollback conditions; and diagnosing failures using logs, metrics, or traces. Infrastructure as code, containers, and cloud services often support that path, but they are not a substitute for delivery-system ownership. Security integration appears where teams put scanning, policy, or provenance checks into the flow. Ontic's staff posting explicitly connects supply-chain checks and compliance validation to CI/CD; eSimplicity's senior posting calls for secure GitHub Actions pipelines. NIST's Secure Software Development Framework provides background for defensive software-delivery controls, not a 2026 vacancy count or a claim that each employer has adopted a particular control.

Tools are varied, and named-tool counts measure coded mentions rather than competence thresholds or required-only criteria. In these 106 rows, Python is named in 81, Terraform in 76, Kubernetes in 74, AWS in 72, GitHub Actions in 46, Docker in 44, Jenkins in 36, and GitLab CI in 28. Azure (29), Helm (22), Argo CD (20), and Google Cloud (21) also occur. The coding combines spelling variants such as ArgoCD and GCP; the same posting can name several alternatives. For example, Origami Risk lists multiple CI tools alongside cloud, container, and scripting tools, whereas SWIFT's DevOps opening describes Jenkins-based support and lists CloudBees as preferred. A person should read the job's required-versus-preferred wording before treating any brand as a gate. A named-tool inventory can still miss a detail in a long public posting; these counts should not be read as complete tool demand across all U.S. employers.

Behavioral skills are observable in the work. Collaboration can mean agreeing on a pipeline interface with developers, explaining a failed promotion to a release partner, or coordinating a security check without silently bypassing it. Systematic troubleshooting means reproducing an error, checking the relevant stage and artifact, and documenting a fix others can use. Written decisions and runbooks help an on-call colleague recover the service. HopSkipDrive explicitly asks its staff engineer to align with product and engineering in writing and influence without formal authority; Repario Data names problem solving, initiative, and mentoring. The former is a staff-level scope; it would overstate the evidence to impose that level of influence on a first job.

Qualifications likewise remain posting-specific. SWIFT states two to four years of experience and a bachelor's degree, while TherapyNotes states five or more years and a degree or equivalent. Origami Risk states three or more years of relevant production experience plus CI/CD and AWS experience. At the other end of the range, Peraton's associate role has a specific U.S. citizenship, clearance-eligibility, and STEM-degree condition tied to classified work. These are examples of employer eligibility and role level, not evidence of a universal degree, clearance, or certification requirement.

OpenTeams' single requisition describes two U.S. openings with different clearance conditions: the remote opening calls for citizenship and clearance eligibility or willingness without an active clearance; the hybrid opening's specific terms require active TS/SCI and up to 15% travel. A general clearance paragraph on that same page describes hybrid clearance differently, so the opening-specific distinction is safer than a blanket rule. Its cloud and scripting criteria also offer alternatives, such as one major cloud and Python, Go, Bash, or comparable experience; the tools named in the ad are not all mandatory together. Across the sample, some required wording was captured in each row, but coded summaries do not establish that every condition was recovered from every public page. Preferred criteria were unreported or unclear in 21 rows. Unknown does not mean the employer has no preference.

Level, working rhythm, partners, and decision rights

The literal level labels in the coded rows include 28 “senior,” 10 “staff,” three “principal,” and 17 “unspecified.” Other postings use hybrid or company-specific labels such as experienced, early-mid, engineer II, mid-to-senior, senior-or-staff, or multiple levels on one requisition. These labels should not be summed into a single precise seniority share: they are neither standardized across employers nor always exclusive in meaning. The sample includes one explicitly coded “entry-level associate” posting, but it carries classified-program conditions. It would be misleading to present the 106 requisitions as a beginner hiring market. The evidence instead shows the work across a broad, frequently experienced set of roles.

Cadence is not uniform. The matrix records 53 rows with no stated cadence. Where the text is specific, work may follow day-to-day delivery, production promotions, incident-driven triage, Agile ceremonies, a scheduled on-call rotation, or occasional off-hours deployment. Origami Risk names day-to-day delivery and promotion events; Hyper Solutions names an on-call rotation. Amazon's AWS EKS engineer mentions a 24/7 on-call rotation and a specific vulnerability-patching service level. That last obligation belongs to a particular service and employer, not to the whole sampled role. Silence on cadence in a posting should not be read as an assurance of ordinary hours.

The engineer usually works across team boundaries. Explicit interfaces in the rows include software or application engineers, QA or test teams, security, infrastructure, platform or SRE, release staff, product partners, and operations. Origami Risk names Engineering, Release, SRE, and DevOps Infrastructure and describes escalation of a pipeline failure according to service ownership. TherapyNotes names software development, infrastructure, security, and its application release team. Two rows lack a coded interface. The practical implication is that an engineer makes the delivery path legible to its users and operators; the named parties and handoffs depend on the organization.

Authority ranges from implementing assigned pipelines to defining a platform's rules. Origami Risk describes ownership of the developer-platform delivery layer while escalating a service-specific failure to the proper owner. Apple's senior platform role goes further, setting versioning and environment-promotion standards across a platform. Hyper Solutions assigns incident triage and escalation paths. These are materially different decision rights. The matrix has 12 rows without clear authority or escalation detail, and other rows mention responsibility without defining final approval. A learner should therefore distinguish the ability to engineer and propose a safe delivery change from authority to approve production release, accept risk, or change organizational policy.

Boundaries with adjacent work

Cloud infrastructure is often part of the implementation: Terraform, Kubernetes, and AWS are named often in this selected corpus. The role under study, however, is defined by engineering the software delivery path through that infrastructure. A cloud-only job was screened out when it did not own build, artifact, pipeline, deployment, or feedback work. MTF Institute's Cloud Engineering program is therefore an adjacent scope reference for infrastructure and service operations, not a source for this report's vacancy counts or a substitute for reading these postings.

Release coordination is also adjacent. A release manager may schedule change windows, align stakeholders, and make or administer release decisions. The selected DevOps vacancy must centrally engineer the repeatable mechanism that builds, validates, promotes, deploys, or recovers software. Release Management marks that neighboring coordination scope. Likewise, the study excluded standalone QA and security-operations roles; testing and scanning counted here when the engineer integrated them into a delivery system. This boundary explains why a platform DevOps role at Origami Risk qualifies, while the broad title “Platform Engineer” would not have sufficed by itself.

Specialist postings show the boundary's limits. Abbott's AI platform role includes evaluation gates, versioned model artifacts, and rollout controls; it is relevant to delivery engineering, but model governance is a specialized extension. Northrop Grumman's embedded DevOps role concerns secure repositories and version strategies for a missile program. Apple and Amazon show platform-scale and service-specific responsibilities. Their duties make useful examples of how the delivery path extends, but none defines a universal beginner role.

What the evidence can and cannot support

The sample is deliberately rich in employer and authorized ATS pages, yet that discovery route has coverage bias. Greenhouse and Ashby alone account for 57 of 106 selected rows. Employers using other channels, hidden recruitment, or less accessible detail pages may differ. The 95 named employers also do not make every row independent. Apple contributes six separate requisitions; LMI contributes three; several others contribute two. Apple’s six roles cover distinct internal problems, but counting each separately gives one employer more weight than an employer with one listing. The top tool and duty counts describe posting mentions, not an employer-weighted survey. Seniority and text depth vary, and a platform team's detailed advertisement may reveal more tools and interfaces than a terse one.

The U.S. rule concerns an eligible U.S. location on the requisition, not proof that every listed location is U.S. only. Xora Innovation / Elemynt lists San Diego alongside Singapore; Velocix lists a U.S. remote option alongside India, Portugal, and the UK. Each remains one selected requisition because the U.S. path is explicit. Neither may be used as evidence that its other locations are U.S. jobs. Location restrictions, including remote-state lists and federal eligibility, require case-by-case reading.

Finally, a public job advertisement is a statement of intended hiring requirements, not observation of an engineer at work. It may combine mandatory and aspirational traits, omit tacit practices, change after collection, or close. The 88 unknown posting dates limit any inference about how long these jobs have been on the market. The two-duty admission rule makes the measured duty frequencies especially unsuitable for comparison with an unscreened set of jobs. The counts do not show candidate success rates, wages, or actual adoption of a named tool across U.S. teams.

The defensible role implication is concrete: these selected employers ask delivery engineers to connect source changes, automated validation, controlled artifacts, deployment, and feedback into a maintainable path, while coordinating with the teams that build, secure, release, and operate the software. The exact tool stack, seniority, work rhythm, and decision rights must be read from each vacancy. This report provides evidence for understanding that work and its boundaries; it cannot turn a selected point-in-time set of postings into a universal job specification.

Continue learning

Apply the evidence from this report through MTF Institute's Professional Certificate in DevOps Engineering. The programme turns the identified capabilities into structured theory, guided AI practice and reusable workplace artifacts.