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Information Technology

DevSecOps Disaster Recovery Engineer

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DevSecOps Disaster Recovery Engineers design, implement, and continuously test the systems that keep applications and infrastructure running — or recover them quickly — when outages, security incidents, or infrastructure failures occur. They sit at the intersection of security engineering, platform reliability, and business continuity, embedding DR automation directly into CI/CD pipelines and cloud infrastructure-as-code rather than treating recovery as an afterthought documented in a binder.

Role at a glance

Typical education
Bachelor's degree in CS, Information Security, or Systems Engineering
Typical experience
5-8 years
Key certifications
AWS Certified Solutions Architect – Professional, CISSP, CCSP, CKA/CKS
Top employer types
Cloud providers, financial services, government, regulated enterprises, consulting firms
Growth outlook
Growing faster than the broader DevOps market due to ransomware, supply-chain attacks, and new regulations like DORA.
AI impact (through 2030)
Accelerating demand as AI infrastructure build-out creates new recovery requirements for GPU clusters, model checkpoints, and training job resumption.

Duties and responsibilities

  • Design and maintain multi-region disaster recovery architectures for cloud-native applications with defined RTO and RPO targets
  • Embed DR validation gates — chaos engineering tests, failover smoke tests, and backup integrity checks — directly into CI/CD pipelines
  • Implement infrastructure-as-code (Terraform, Pulumi, CloudFormation) for DR environments that mirror production security controls exactly
  • Conduct scheduled and unannounced DR exercises, document results, and track remediation of gaps through to closure
  • Integrate secrets management, IAM policy replication, and certificate rotation into cross-region failover runbooks
  • Own backup and replication configuration for databases, object storage, and stateful workloads across AWS, Azure, or GCP
  • Collaborate with security operations to align DR activation procedures with incident response playbooks for ransomware and supply-chain events
  • Define and enforce recovery point monitoring using observability tooling (Datadog, Prometheus, Grafana) with automated alerting on replication lag
  • Perform threat modeling on DR infrastructure itself — identifying single points of failure, blast radius, and credential exposure in recovery paths
  • Produce executive-level DR status reports, test results, and risk acceptances for CISO and compliance stakeholders quarterly

Overview

A DevSecOps Disaster Recovery Engineer's core responsibility is deceptively simple to state: make sure the business can recover from any foreseeable failure within the time window that the business can survive. The hard part is defining what "any foreseeable failure" means in a cloud-native environment where the attack surface, dependency graph, and deployment cadence all change continuously.

In practice, the job operates in two modes. The first is build mode: designing and implementing the DR architecture — cross-region replication, automated failover logic, backup strategies for every stateful component, and the IAM and secrets infrastructure that recovery procedures depend on. This work lives in Terraform or CloudFormation, gets reviewed in pull requests, and deploys through the same pipelines as production code. The DevSecOps piece means security controls in the DR environment are not an approximation of production — they are identical, enforced by the same policy-as-code that governs the primary environment.

The second mode is test and validate. A DR architecture that has never been exercised is a liability, not an asset. DR engineers own a testing calendar that includes everything from automated backup integrity checks running nightly to full regional failover exercises that may take several hours and require coordination across platform, security, and application teams. Every test produces documented results. Every gap produces a tracked remediation item.

The security integration is what separates this role from traditional business continuity or infrastructure work. Ransomware scenarios require that backup environments be isolated from production credential stores — an attacker who compromises production IAM should not be able to access or destroy recovery infrastructure. Supply chain compromise scenarios require that DR activation can proceed even when the primary software delivery pipeline is untrusted. DR engineers design these isolation boundaries deliberately and test them adversarially.

Stakeholder communication is a significant part of the role that job descriptions routinely understate. DR engineers translate technical recovery capabilities into business language — "we can recover this payment processing system to within 15 minutes of data loss and have it operational within 90 minutes" — and they defend those numbers when auditors, executives, or regulators ask how they were validated.

Qualifications

Education:

  • Bachelor's degree in computer science, information security, or systems engineering (common at regulated employers)
  • Equivalent experience accepted at cloud-native companies; what matters is demonstrated depth in cloud infrastructure and security
  • Master's in cybersecurity or information assurance valued for government and financial services roles

Core certifications:

  • AWS Certified Solutions Architect – Professional or equivalent Azure/GCP architect credential
  • CISSP or CCSP for security credibility in enterprise and regulated environments
  • CBCP or CBCI for business continuity program ownership
  • Kubernetes CKA/CKS for container-native DR work

Cloud and infrastructure skills:

  • Multi-region and multi-cloud architecture: AWS Route 53 failover, Azure Traffic Manager, GCP global load balancing
  • Infrastructure-as-code: Terraform, Pulumi, AWS CDK — DR environments must be code-defined and version-controlled
  • Container orchestration: Kubernetes cluster failover, persistent volume backup (Velero), stateful workload recovery
  • Database replication: RDS Multi-AZ and cross-region read replicas, DynamoDB global tables, PostgreSQL streaming replication
  • Object storage versioning, lifecycle policies, and cross-region replication (S3, Azure Blob, GCS)

Security integration skills:

  • Secrets management: HashiCorp Vault DR replication, AWS Secrets Manager cross-region, Azure Key Vault geo-redundancy
  • IAM policy replication and least-privilege enforcement across recovery environments
  • Network security: VPC failover design, WAF rule synchronization, certificate authority availability during outages
  • Threat modeling DR-specific attack paths: backup system compromise, recovery credential theft, failover DNS hijacking

Observability and testing:

  • Chaos engineering tooling: AWS FIS, Gremlin, LitmusChaos
  • Replication lag monitoring with Prometheus, Datadog, or CloudWatch
  • Automated DR test pipelines integrated into GitLab CI, GitHub Actions, or Jenkins

Experience benchmarks:

  • 5–8 years in platform engineering, cloud architecture, or security engineering
  • At least 2–3 years with direct DR or business continuity program ownership
  • Experience presenting DR test results and risk posture to non-technical leadership

Career outlook

Demand for engineers who can build and operate resilient, security-aware recovery systems has grown faster than the broader DevOps market for three consecutive years, and the drivers are structural rather than cyclical.

Ransomware and supply-chain attacks have moved business continuity from a compliance checkbox to a board-level priority. When a company's production environment is encrypted and the question is whether backups are viable and recovery procedures are tested, the answer is immediately visible — and the consequences of "no" are severe. Boards and CISOs are investing in the engineering function that prevents those consequences.

Cloud migration has simultaneously increased complexity and created new DR capabilities that only exist if someone builds them deliberately. A workload running in a single cloud region is more fragile than the on-premise data center it replaced, unless a DR engineer has designed the multi-region architecture and tested it. That gap between what cloud can theoretically provide and what most organizations have actually implemented is large and represents a consistent source of work.

Regulatory pressure is tightening. The SEC's cybersecurity incident disclosure rules require public companies to report material incidents within four business days, which focuses executive attention on recovery time. The EU's Digital Operational Resilience Act (DORA) applies to financial sector firms and their technology suppliers — it mandates tested ICT recovery capabilities with documented evidence. DORA alone is creating substantial demand for DR engineering expertise at European-market participants.

The AI infrastructure build-out is adding a new demand vector. Data centers and cloud providers are signing long-term power agreements and expanding capacity, and the companies deploying AI workloads treat availability as a revenue-critical constraint. GPU cluster recovery, model checkpoint backup, and training job resumption are DR engineering problems that didn't exist at scale three years ago.

Career paths from this role lead toward principal or staff security engineer, cloud architecture leadership, or CISO-track roles for engineers who develop strong program management and communication skills. Consulting and advisory firms pay well for DR engineers who can parachute into organizations following an incident or ahead of an audit. The combination of cloud depth, security understanding, and business continuity knowledge is genuinely rare, and the market compensates for that scarcity.

Sample cover letter

Dear Hiring Manager,

I'm applying for the DevSecOps Disaster Recovery Engineer position at [Company]. I've spent the last four years as a senior platform engineer at [Company], where I own our cloud DR program across AWS — two active regions with sub-60-minute RTO targets for our payment processing services and a tested sub-15-minute RPO for our core Postgres databases.

When I inherited the DR program, we had a runbook document and an annual tabletop exercise. What we didn't have was any automated validation that our RDS cross-region replicas were actually current, or that our Vault DR cluster could unseal and serve secrets in the secondary region without human intervention. I rebuilt both from the infrastructure layer up — Terraform-managed DR environments with policy-as-code that enforces the same security controls as production, nightly backup integrity jobs that publish results to our security dashboard, and a quarterly full-failover test that we run live against production traffic on a Sunday morning with the on-call team standing by.

The test that taught me the most was a chaos engineering run where I injected a credential rotation event mid-failover. The application recovered but our certificate renewal automation failed silently because it was hitting a primary-region ACM endpoint that wasn't accessible from the DR VPC. We fixed the endpoint references and added an explicit cert-chain validation step to the failover runbook. That kind of discovery only happens when you test adversarially rather than optimistically.

I hold AWS Solutions Architect Professional and CISSP certifications and am actively studying for the CBCP. I'm looking for a role where the DR program is treated as an engineering discipline rather than a documentation exercise, and from your engineering blog and the scope of this role, it looks like [Company] takes that approach seriously.

I'd welcome the opportunity to discuss the position.

[Your Name]

Frequently asked questions

What is the difference between a DR engineer and a Site Reliability Engineer?
SREs primarily focus on availability, latency, and operational toil reduction in normal operations — their currency is SLOs and error budgets. DR engineers are specifically accountable for recovery scenarios: what happens when an entire region goes dark, a database is encrypted by ransomware, or a botched deployment destroys production state. In practice there is significant overlap at smaller organizations, but at larger ones the roles are distinct, with DR engineers owning the business continuity program and disaster declaration process.
Which certifications are most valued for this role?
AWS Certified Solutions Architect – Professional (with DR specialization depth) and the equivalent Azure or GCP architect credentials are the technical baseline. CISSP or CCSP adds security credibility that differentiates candidates in regulated industries. The BCI Good Practice Guidelines certification or CBCP (Certified Business Continuity Professional) is valued by enterprise employers who sit under a formal BCM program.
How does chaos engineering fit into disaster recovery work?
Chaos engineering — intentionally injecting failures into production or production-like environments using tools like AWS Fault Injection Simulator, Chaos Monkey, or Gremlin — validates that DR controls actually work before a real incident. DR engineers use it to confirm that failover automation fires correctly, that RTO targets are achievable under realistic conditions, and that security controls like WAF rules and IAM policies replicate correctly to the recovery environment.
How is AI and automation changing disaster recovery engineering?
AI-driven anomaly detection is shortening the time between an incident starting and DR procedures activating — some platforms can trigger automated failover initiation before a human has acknowledged the alert. On the planning side, large language models are being used to generate and validate runbook consistency at scale. The engineering work is shifting toward designing and auditing these automated systems rather than executing manual recovery steps, which raises the bar on understanding what the automation actually does and what it can miss.
What compliance frameworks most directly govern DR engineering work?
ISO 22301 (business continuity management) and NIST SP 800-34 (contingency planning) are the foundational frameworks. In financial services, FFIEC Business Continuity Management guidelines set recovery testing frequency and documentation requirements. SOC 2 Type II requires auditors to test that DR controls operate effectively, which means DR engineers in SaaS companies have their procedures scrutinized annually. PCI DSS and HIPAA also carry specific DR and backup requirements that translate directly into engineering controls.

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