Senior DevSecOps Engineer

Overview

Hybrid
$50 - $80
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)
No Travel Required

Skills

57+ years of professional experience in DevSecOps
Site Reliability Engineering
or Infrastructure/Cloud Security.Strong expertise in CI/CD automation tools (Jenkins
GitLab CI/CD
GitHub Actions
or equivalent).Proficiency with containers (Docker) and orchestration platforms (Kubernetes
OpenShift).Hands-on experience with Infrastructure as Code (Terraform
Ansible
CloudFormation
Puppet
or Chef).Deep knowledge of secure coding practices
threat modeling
and vulnerability management.Cloud platform expertise (AWS
Azure
or GCP)
including IAM
VPC design
and secure deployment automation.Proficiency in scripting languages such as Python
Bash
or PowerShell.Experience with secrets management (Vault
AWS KMS
Azure Key Vault
or similar).Ability to integrate security tools into DevOps pipelines (SAST
DAST
dependency scanning
container image security).Solid understanding of networking concepts
TLS/SSL
VPNs
firewalls
and zero-trust security models.

Job Details

Job Description

F2F interview

Senior DevSecOps Engineer

CITIZEN,

Hybrid with two days onsite (1920 Technology Parkway, Mechanicsburg, PA 17050).

Work Hours: 8:00 AM 5:00 PM (one-hour lunch)

Interview.:- Video then onsite

JD

Job Description:
The Senior DevSecOps Engineer will lead efforts to design, implement, and maintain secure, scalable, and automated infrastructure environments supporting enterprise-level applications. This role requires a balance of deep technical expertise, security-first thinking, and strong collaboration across development, security, and operations teams. The engineer will be responsible for embedding security into every stage of the software development lifecycle while ensuring high availability and resilience of deployed systems.
Responsibilities:

  • Develop, maintain, and secure CI/CD pipelines to support application and infrastructure delivery.
  • Integrate automated testing, vulnerability scanning, and compliance validation into build and deployment workflows.
  • Architect and manage containerized environments using Kubernetes and Docker.
  • Define and enforce Infrastructure as Code (IaC) standards with tools such as Terraform, Ansible, or CloudFormation.
  • Oversee cloud security posture management across AWS, Azure, or Google Cloud Platform, ensuring governance and compliance requirements are met.
  • Build and manage monitoring, logging, and alerting solutions to ensure system reliability, scalability, and security.
  • Perform risk assessments, threat modeling, and security audits for infrastructure and applications.
  • Troubleshoot complex deployment, configuration, and environment issues across multiple platforms.
  • Provide mentoring and technical leadership to developers, operations engineers, and junior staff.
  • Document processes, system architectures, and security practices to support long-term sustainability.

Required Skills and Experience:

  • 5 7+ years of professional experience in DevSecOps, Site Reliability Engineering, or Infrastructure/Cloud Security.
  • Strong expertise in CI/CD automation tools (Jenkins, GitLab CI/CD, GitHub Actions, or equivalent).
  • Proficiency with containers (Docker) and orchestration platforms (Kubernetes, OpenShift).
  • Hands-on experience with Infrastructure as Code (Terraform, Ansible, CloudFormation, Puppet, or Chef).
  • Deep knowledge of secure coding practices, threat modeling, and vulnerability management.
  • Cloud platform expertise (AWS, Azure, or Google Cloud Platform), including IAM, VPC design, and secure deployment automation.
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Experience with secrets management (Vault, AWS KMS, Azure Key Vault, or similar).
  • Ability to integrate security tools into DevOps pipelines (SAST, DAST, dependency scanning, container image security).
  • Solid understanding of networking concepts, TLS/SSL, VPNs, firewalls, and zero-trust security models.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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