DevSecOps Infrastructure Engineer

DevSecOps Infrastructure Engineers are the people who make security invisible — not by hiding it, but by automating it so completely that developers never have to think about most of it. When a developer pushes a commit, a well-built DevSecOps pipeline runs dependency audits, container image scans, infrastructure-as-code policy checks, and secret detection before any human reviewer sees the code. The engineer who built that pipeline made hundreds of decisions about which tools to integrate, which findings to block on versus warn, and how to keep the whole thing fast enough that developers don't route around it.

The day-to-day work spans infrastructure and security in roughly equal measure. On the infrastructure side: maintaining Kubernetes clusters, managing Terraform state, debugging why a deployment is failing in staging but not locally. On the security side: reviewing a spike in GuardDuty findings, investigating an IAM misconfiguration that a policy-as-code check caught, or building a new pipeline stage that runs an SBOM generation step before an artifact is promoted to production.

Compliance is a recurring thread. At companies pursuing SOC 2 Type II or FedRAMP authorization, the DevSecOps engineer translates control narratives — 'access to production systems is limited and logged' — into infrastructure configurations that auditors can verify from evidence. That means writing the Terraform that enforces MFA on IAM roles, building the CloudTrail log pipeline that feeds the SIEM, and documenting why the architecture satisfies the control. It's detail work, but it has real business consequences when an audit finding blocks a sales deal.

Incident response pulls the role into security operations. When an alert fires — an EC2 instance making unusual outbound connections, a Kubernetes service account token being used from an unexpected IP — the DevSecOps engineer is often the first technical responder, not a separate SOC. The combination of infrastructure access and security context makes them well-positioned to isolate a compromised workload, preserve forensic data, and run the post-incident review.

The teams that make this role work treat security as a shared engineering problem. The ones that don't — where developers see security controls as a friction source and push back on pipeline gates — make the job significantly harder and the security outcomes worse.

Education:

• Bachelor's degree in computer science, information systems, or electrical engineering (common baseline at enterprise employers)
• Strong candidates without degrees who hold relevant certifications and demonstrable portfolio work are competitive at most tech companies
• Graduate degrees are uncommon and rarely differentiating for this role

Experience benchmarks:

• 5–8 years of combined infrastructure engineering and security experience for senior-level roles
• 2–4 years acceptable for mid-level if combined with deep cloud-native toolchain experience
• Candidates coming from pure SRE or platform engineering backgrounds with self-directed security upskilling are common and often effective

Cloud platforms:

• AWS (most common): VPC design, IAM, GuardDuty, Security Hub, Config Rules, CloudTrail
• Azure: Defender for Cloud, Entra ID Conditional Access, Azure Policy
• GCP: Security Command Center, VPC Service Controls, Binary Authorization
• Multi-cloud management experience is increasingly expected at large enterprises

Core toolchain:

• IaC: Terraform (required), Pulumi or CDK as secondary options
• Containers: Kubernetes, Helm, ArgoCD or Flux for GitOps
• CI/CD: GitHub Actions, GitLab CI, Jenkins — the specific platform matters less than understanding pipeline security patterns
• SAST/SCA: Semgrep, Snyk, Checkmarx, or Veracode
• Secrets management: HashiCorp Vault, AWS Secrets Manager
• Policy-as-code: Open Policy Agent, Sentinel

Security frameworks:

• NIST 800-53 and 800-171 for government-adjacent work
• CIS Benchmarks for cloud and container hardening baselines
• SOC 2 Trust Services Criteria — understanding what auditors actually look for
• MITRE ATT&CK for cloud and containers — useful for detection engineering

Certifications (ranked by role relevance):

• AWS Security Specialty or Azure Security Engineer Associate
• CKS (Certified Kubernetes Security Specialist)
• HashiCorp Vault Associate
• OSCP (differentiating, not required)
• Active TS/SCI (required for cleared roles, significant salary multiplier)

The DevSecOps Infrastructure Engineer role is one of the more defensible positions in technology hiring right now. Demand is structural — every organization running software at scale needs someone who can build and operate secure pipelines, and the supply of people who can do both the infrastructure engineering and the security work at a high level is genuinely limited.

The threat environment is not improving. Software supply chain attacks — SolarWinds, XZ Utils, the Codecov breach — have made executive leadership viscerally aware that CI/CD pipelines and open-source dependencies are attack surfaces, not just delivery mechanisms. That awareness has translated into budget. Security tooling vendors raised prices significantly in 2024–2025, and organizations are paying them, which means headcount to actually operate those tools is justified.

Federal investment is creating a parallel demand signal. The Executive Order on Improving the Nation's Cybersecurity and subsequent OMB memos have pushed federal agencies and their contractors toward SBOM requirements, zero-trust architecture mandates, and FedRAMP authorization for cloud services. Each of those mandates requires engineers who can translate policy into working infrastructure — a direct call for DevSecOps capability.

AI is a double-edged factor for the profession. On one hand, AI coding assistants are generating code that introduces new vulnerability patterns (insecure deserialization, LLM prompt injection surfaces, API key exposure in generated snippets) faster than traditional AppSec programs can review. That increases demand for automated pipeline controls. On the other hand, AI-assisted tooling is genuinely reducing the time required for some tasks — writing Terraform modules, drafting OPA policies — which may compress the number of engineers needed per unit of output over time.

Career paths from this role branch in several directions. Platform engineering leadership is the most common — senior staff or principal engineer roles owning the entire developer productivity and security posture at an organization. Security architecture is another branch, particularly for engineers who develop strong threat modeling skills. Cloud security product management is accessible to engineers who develop business fluency alongside technical depth. At defense contractors and federal agencies, the clearance premium keeps compensation competitive with commercial tech well into senior and staff levels.

For candidates entering the field now, the strategic move is depth over breadth. One cloud platform understood deeply — IAM internals, service control policies, detective controls wired through to a SIEM — is worth more in interviews and on the job than shallow familiarity with all three.

Dear Hiring Manager,

I'm applying for the DevSecOps Infrastructure Engineer position at [Company]. I've spent the last six years building and operating cloud infrastructure at [Company], most recently as the lead platform engineer responsible for the security architecture of our AWS-based microservices platform serving twelve internal development teams.

The work I'm most proud of is a pipeline redesign we completed last year. Our previous CI/CD setup ran a SAST scan as a post-merge reporting step — it generated findings that almost nobody acted on because the feedback loop was too slow and the signal-to-noise ratio was poor. I rebuilt the security stages into the pre-merge pipeline using Semgrep with a custom ruleset tuned to our actual vulnerability history, wired Trivy image scanning to block on critical CVEs in base images, and added a Checkov step for Terraform that failed builds on specific misconfigurations we'd found in prior audits. Block rates stabilized around 8% of PRs, all of which were genuine issues. Developer complaints dropped significantly once the findings were specific and actionable rather than a flood.

On the infrastructure side, I've managed a multi-account AWS environment using Control Tower and Service Control Policies, built our secrets management architecture on HashiCorp Vault with dynamic credentials for database access, and led our SOC 2 Type II infrastructure evidence collection for three consecutive audit cycles.

I'm drawn to [Company] because your platform team is working at a scale where the tooling decisions have real consequences, and the job description's emphasis on policy-as-code matches where I've invested most of my recent learning. I'd welcome the chance to talk through how my background fits what you're building.

[Your Name]