Hire DevSecOps Engineers
Who Make Security Part of Shipping

You can usually start the hiring conversation immediately and receive a shortlist within 24 hours after we understand your delivery pipeline, repositories, cloud footprint, Kubernetes usage, scanner stack, compliance needs, current security bottlenecks, timeline, and seniority needs. The goal is not to send resumes quickly. It is to send DevSecOps Engineers who can improve the systems where your team already ships.

Yes. You interview the shortlisted engineers before committing. We recommend using a real artifact in the interview: a pipeline file, Terraform plan, scanner report, Kubernetes manifest, cloud IAM policy, secret exposure incident, or SOC 2 evidence request. Ask the engineer to explain what should block, what should warn, what should be an exception, and what evidence should remain.

The first week should produce visible proof that the engineer understands your security and delivery flow. You should see a cleaner scanner workflow, secret-handling fix, IaC policy gate, container image control, signed artifact path, access review, compliance evidence improvement, or risk register tied to your actual pipeline. If progress is unclear, you should know that during the trial, not after a long contract cycle.

A DevSecOps Engineer builds security into software delivery systems. The role connects application security, cloud security, infrastructure as code, containers, secrets, CI/CD, supply-chain controls, runtime visibility, and compliance evidence. A strong DevSecOps Engineer does not only add tools. They design policies, thresholds, ownership, exceptions, and workflows that help developers ship safer software.

Quality is managed through senior screening, role-specific interview criteria, architecture review, pipeline review, cloud review, documented decisions, and delivery checkpoints. We look for practical judgment across SAST, DAST, SCA, secret scanning, IaC scanning, container scanning, SBOMs, image signing, IAM, Kubernetes policies, exception handling, and audit evidence.

Yes. The engineer joins your repositories, CI/CD platform, cloud accounts, scanner tools, ticketing system, standups, review process, and communication channels at the access level you approve. The operating model defines who owns security findings, who approves exceptions, how secrets are handled, how evidence is stored, and how policy changes are rolled out.

Yes. Devlyn works with distributed teams and plans overlap windows for interviews, standups, pipeline reviews, security reviews, release reviews, and escalation. For DevSecOps Engineer engagements, the communication rhythm is tied to proof points that matter: scan coverage, remediation time, secrets exposure risk, deployment compliance, audit evidence, and developer friction.

NDA and IP assignment are handled before onboarding. Access is scoped to the repositories, pipelines, cloud resources, scanner systems, secrets tools, and audit artifacts required for the scope. Sensitive work follows your rules for least privilege, approval workflows, credential handling, logging, code access, production permissions, and evidence retention.

Use the risk-free trial to evaluate whether the engineer can understand your delivery flow, improve controls, reduce noise, communicate tradeoffs, and work with developers instead of only enforcing policy. If the fit is wrong, we replace the engineer within 48 hours instead of forcing you through a long notice period or another sourcing cycle.

You can start with one specialist and expand only if the scope requires it. Common expansion paths include AI Security Engineers for model and data risk, SREs for incident response and reliability, Platform Engineers for developer workflows, Cloud Engineers for landing zones, and Security Engineers for broader application and infrastructure review.

Typical options include an AI Pipeline Hardening sprint, a dedicated Senior DevSecOps Engineer, or a DevSecOps plus AI Security plus SRE pod for larger risk programs. We confirm the model after discovery so you can compare a focused sprint, a dedicated hire, or a small pod against the actual risk: noisy scanners, weak secrets governance, insecure cloud changes, unsigned artifacts, audit pressure, or container security gaps.

We can support both models. If you already have strong engineering and security leadership, the engineer can plug into your process. If you need more structure, Devlyn can add delivery oversight, sprint planning, reporting, and senior technical review around pipeline security, secrets, cloud controls, Kubernetes policies, supply-chain evidence, and compliance readiness.

Devlyn reduces the hidden work of sourcing, vetting, onboarding, replacing, and governing specialist engineering talent. That matters for DevSecOps because the wrong hire can add tools without reducing risk, or block releases without improving evidence. You get a shorter path to qualified candidates and a trial structure focused on visible security outcomes.

Devlyn is a better fit when the work affects production releases, customer security reviews, sensitive data, cloud infrastructure, compliance evidence, or long-term developer workflow. You get vetting, replacement support, delivery governance, IP protection, and continuity around outcomes like secure CI/CD, secrets controls, cloud hardening, Kubernetes policy, supply-chain evidence, and audit readiness.

The strongest fit is work where release speed and security evidence both matter. Common examples include CI/CD security, scanner tuning, SAST and SCA rollout, secret scanning, IaC policy checks, SBOM generation, image signing, Kubernetes hardening, cloud posture improvement, SOC 2 evidence automation, AI pipeline hardening, and reducing customer security review friction.