Key Responsibilities and Required Skills for DevOps Security Engineer
💰 $120,000 - $170,000
🎯 Role Definition
The DevOps Security Engineer is a cross-functional technical leader who designs, implements, and operationalizes security controls across cloud infrastructure, CI/CD pipelines, containers, and application delivery. This role blends deep security expertise with DevOps practices to automate threat detection, enforce compliance, drive secure-by-design engineering, and enable rapid, safe delivery. Key responsibilities include threat modeling, vulnerability management, infrastructure-as-code hardening, identity and access governance, and building developer-friendly security automation that scales across multiple teams and cloud environments.
📈 Career Progression
Typical Career Path
Entry Point From:
- Senior DevOps Engineer with security responsibilities
- Cloud Security Engineer / Platform Engineer
- Application Security Engineer or SRE with cloud experience
Advancement To:
- Lead DevSecOps Engineer / Head of DevSecOps
- Principal Cloud Security Engineer
- Director of Security Engineering or VP of Security Operations
Lateral Moves:
- Cloud Infrastructure Architect
- Application Security Engineer (AppSec)
- Site Reliability Engineering (SRE) Lead
Core Responsibilities
Primary Functions
- Design, implement, and maintain automated security controls across CI/CD pipelines, ensuring build-time and deploy-time checks (SAST, SCA, DAST, dependency scanning) are integrated and provide actionable feedback to engineering teams.
- Lead threat modeling for new and existing services and infrastructure, producing mitigations, secure design guidance, and risk-based recommendations that inform sprint and roadmap planning.
- Develop, own, and harden infrastructure-as-code (IaC) templates (Terraform, CloudFormation, ARM) and establish automated IaC scanning and policy-as-code (OPA/Gatekeeper, Sentinel) to prevent insecure configurations from being deployed.
- Build and operate security automation and orchestration to auto-detect, triage, and remediate cloud misconfigurations, secrets exposure, and runtime threats across AWS/Azure/GCP environments.
- Implement identity and access management (IAM) best practices including least privilege policies, role separation, automated key/secret rotation, and centralized authentication integration (SSO, SAML, OIDC).
- Design and run container and Kubernetes security programs including image scanning, admission controllers, pod security policies, runtime threat detection (Falco, runtime EDR), and cluster hardening.
- Develop and maintain security observability including logging, metrics, and alerting pipelines (ELK, Splunk, Datadog, Prometheus) to detect anomalies, audit changes, and support incident response.
- Operate vulnerability management workflows by integrating scanning tools (Qualys, Nessus, Trivy, Anchore) with ticketing systems, prioritizing remediation, and tracking risk reduction metrics across teams.
- Create and maintain secure build pipelines and artifact repositories (Jenkins, GitHub Actions, GitLab CI, Artifactory) with immutable artifacts, provenance, and supply chain protections.
- Collaborate with product and engineering teams to embed security gates, quality checks, and developer-friendly remediation guidance that minimizes friction while raising the security baseline.
- Drive secure release practices by building pre-deploy and post-deploy security validation (canary checks, AB tests, runtime policy enforcement) and participating in emergency change/incident reviews.
- Automate detection and response playbooks for cloud incidents, including automated containment actions, evidence capture, and integration with SOAR/SIEM tooling to reduce mean time to detection and remediation.
- Define and enforce security guardrails and policies for multi-account, multi-region cloud environments including network segmentation, encryption at rest/in transit, and secure default settings.
- Lead continuous compliance programs by automating policy checks against standards (CIS Benchmarks, NIST, PCI, SOC2) and generating evidence for audits and compliance reporting.
- Build and maintain secrets management and encryption services (HashiCorp Vault, AWS KMS, Azure Key Vault) with automated secret lifecycle and access control enforcement.
- Conduct adversary-focused exercises such as purple team engagements, tabletop exercises, and simulated attacks to validate controls, improve detection, and train engineering teams.
- Evaluate, pilot, and operationalize security tooling (SCA, SBOM generation, runtime protection, posture management) and provide procurement and roadmap input to platform teams.
- Provide 24/7 on-call coverage for platform security incidents and collaborate with incident response, legal, and communications to coordinate containment and remediation.
- Mentor and train engineering teams on secure coding, CI/CD security best practices, IaC hygiene, and secure cloud operations through workshops, playbooks, and internal documentation.
- Maintain up-to-date knowledge of evolving cloud threats, new attack vectors (supply chain, container escape, misconfiguration), and create proactive defense strategies aligned with the threat landscape.
- Author and maintain secure architecture patterns, runbooks, and developer guidance that balance speed of delivery with measurable security controls.
- Partner with compliance and risk teams to quantify technical risk, support risk reviews, and translate control implementations into risk reduction and business outcomes.
- Manage and optimize security costs by right-sizing tooling, automating remediation to reduce manual burden, and measuring ROI for security investments.
Secondary Functions
- Support ad-hoc data requests and exploratory data analysis.
- Contribute to the organization's data strategy and roadmap.
- Collaborate with business units to translate data needs into engineering requirements.
- Participate in sprint planning and agile ceremonies within the data engineering team.
- Assist in preparing security metrics and executive reports that demonstrate program effectiveness and risk reduction over time.
- Help maintain a knowledge base of incident post-mortems, root-cause analysis, and continuous improvement actions.
Required Skills & Competencies
Hard Skills (Technical)
- Cloud security experience with at least one major provider (AWS, Azure, or GCP) including services, IAM, networking, and managed security services.
- Expertise in infrastructure-as-code tools (Terraform, CloudFormation, ARM) and policy-as-code frameworks (OPA, Sentinel) for automated secure provisioning.
- Strong experience building and securing CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, CircleCI or equivalent, including pipeline security best practices.
- Container and orchestration security skills with Kubernetes hardening, admission controllers, image scanning, and runtime threat detection.
- Hands-on knowledge of vulnerability management and scanning tools (Qualys, Nessus, Tenable, Trivy, Snyk, Clair).
- Experience with secrets management and key management systems such as HashiCorp Vault, AWS KMS, Azure Key Vault.
- Proficiency with scripting and programming languages used for automation: Python, Go, Bash, or similar.
- Familiarity with SAST/DAST tools and software composition analysis (Snyk, SonarQube, Veracode, OWASP ZAP), and integrating them into pipelines.
- Strong logging, monitoring, and observability experience with SIEM and metrics platforms (Splunk, Datadog, ELK, Prometheus) for security telemetry and alerting.
- Identity and Access Management (IAM) design and automation, including federated auth, role management, and least-privilege enforcement.
- Experience implementing secure networking, segmentation, VPC design, and Web Application Firewall (WAF) configurations.
- Knowledge of compliance frameworks and ability to automate evidence collection for SOC2, ISO27001, PCI DSS, or NIST.
- Familiarity with container image provenance, SBOM generation and software supply chain security best practices.
- Experience with incident response, forensics basics, and integration of detection playbooks into SOAR workflows.
Soft Skills
- Excellent cross-functional communication skills to translate security concepts into engineering tasks and business risk.
- Strong collaboration skills to work with product, engineering, compliance, and operations teams in a fast-paced environment.
- Analytical problem-solving mindset with the ability to prioritize remediation efforts by risk and impact.
- Pragmatic approach to security: able to balance controls with developer productivity and business objectives.
- Coaching and mentoring aptitude to raise security knowledge across the engineering organization.
- Project management and organizational skills to run security projects, pilots, and tool rollouts end-to-end.
- Resilience under pressure and calm decision-making during security incidents and production emergencies.
- Continuous learning mindset and ability to rapidly adopt new tools, cloud features, and security practices.
Education & Experience
Educational Background
Minimum Education:
- Bachelor’s degree in Computer Science, Information Security, Cybersecurity, Computer Engineering, or equivalent practical experience.
Preferred Education:
- Master’s degree in Cybersecurity, Computer Science, or related technical discipline; or advanced security certifications.
Relevant Fields of Study:
- Computer Science
- Information Security / Cybersecurity
- Cloud Computing / Cloud Engineering
- Software Engineering / Computer Engineering
Experience Requirements
Typical Experience Range:
- 3–8 years of combined DevOps, cloud, and security engineering experience; typical hires have 4–7 years.
Preferred:
- 5+ years building and securing cloud-native infrastructure and CI/CD pipelines, with demonstrable experience securing Kubernetes and multi-account cloud environments.
- Relevant certifications such as CISSP, OSCP, CCSP, GCP Professional Cloud Security Engineer, AWS Certified Security – Specialty, or Certified Kubernetes Security Specialist (CKS) are a strong plus.