Agency-Senior DevSecOps Engineer

Performance Contracting Group•Lenexa, KS

13h

About The Position

The Senior DevOps Engineer is an experienced individual contributor who advances the organization’s DevOps capabilities beyond build and release automation into modern cloud engineering, platform engineering, reliability engineering, and AI-enabled operations. The role serves as a technical escalation point for DevOps Engineers, designs repeatable and secure automation patterns, improves developer experience through self-service platforms, and partners with application, infrastructure, security, and operations teams to improve delivery speed, reliability, scalability, and operational maturity across non-production and production environments. This work assignment is for contingent workers only and is not for general applicants or employees. Contingent workers must complete personal information documents and acknowledge basic policies applicable while working on Performance Contracting worksites.

Requirements

5–7 years of progressive experience in DevOps, systems engineering, cloud engineering, platform engineering, infrastructure automation, software delivery, or related IT roles.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or an equivalent combination of education and relevant experience.
Demonstrated experience designing, supporting, and improving CI/CD pipelines, automation frameworks, cloud or hybrid infrastructure, and operational tooling.
Experience with enterprise applications, databases, middleware, ERP platforms, or business-critical systems in development, test, staging, or production environments.
Experience mentoring engineers, leading technical improvements, creating standards, and influencing adoption of modern delivery and reliability practices without direct people-management responsibility.
Strong understanding of modern DevOps practices, Agile delivery, release management, infrastructure automation, and operational support models.
Hands-on experience with CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or similar platforms.
Ability to write, troubleshoot, and maintain automation using PowerShell, Python, Bash, SQL, YAML, JSON, or similar scripting and configuration languages.
Working knowledge of cloud platforms and services, preferably Microsoft Azure, including compute, storage, networking, identity, security, monitoring, and cost optimization concepts.
Experience with Infrastructure as Code and configuration management tools such as Terraform, Bicep, ARM templates, Ansible, or equivalent technologies.
Understanding of platform engineering principles, including reusable templates, internal developer platforms, self-service workflows, paved-road patterns, and developer experience improvements.
Knowledge of Site Reliability Engineering practices, including observability, incident response, post-incident reviews, reliability targets, capacity planning, and toil reduction.
Familiarity with monitoring, logging, tracing, and alerting tools such as Azure Monitor, Application Insights, Log Analytics, Grafana, Prometheus, OpenTelemetry, Splunk, LogicMonitor, or similar solutions.
Working knowledge of containers, orchestration, artifact repositories, deployment packaging, and cloud-native application patterns.
Understanding of DevSecOps practices, including secure pipeline design, secrets management, identity and access controls, vulnerability scanning, and compliance automation.
Ability to apply AI-assisted tools for engineering, operations, documentation, and troubleshooting while maintaining appropriate security, validation, and governance practices.
Strong analytical, troubleshooting, communication, and documentation skills, including the ability to work independently on complex technical initiatives.
Demonstrable adaptability and flexibility in a fast-paced work environment.
Adherence to high standards of safety, quality, reliability, and professionalism.

Nice To Haves

Preferred certifications may include Microsoft Azure Administrator, Azure DevOps Engineer Expert, Azure Solutions Architect, HashiCorp Terraform Associate, Kubernetes, SRE, Agile, DevOps, or related industry certifications.

Responsibilities

Serve as the senior technical escalation point for DevOps Engineers and project teams, mentoring on automation, cloud platform design, deployment reliability, observability, and operational best practices.
Lead root cause analysis for complex environment, deployment, infrastructure, performance, and reliability issues; communicate business impact, mitigation plans, and corrective actions.
Design, implement, and maintain secure, repeatable, and observable CI/CD pipelines for application, infrastructure, database, and configuration changes.
Engineer Infrastructure as Code and automation solutions to provision, configure, and manage cloud and hybrid environments.
Contribute to cloud engineering initiatives by designing scalable, secure, and cost-aware solutions across compute, storage, networking, identity, monitoring, and backup/recovery services.
Advance platform engineering by building reusable templates, deployment patterns, self-service workflows, shared tooling, and documentation.
Apply Site Reliability Engineering practices, including service-level indicators and objectives, error budgets, incident response, post-incident reviews, capacity planning, and toil reduction.
Improve observability by implementing and maintaining logging, metrics, tracing, dashboards, alerting, and telemetry.
Partner with development, infrastructure, database, security, and service desk teams to design resilient deployment and operational patterns for cloud, on-premises, hybrid, and enterprise application environments.
Develop automation for environment provisioning and refreshes, patching, release readiness, configuration consistency, service account management, and test data management.
Integrate security and compliance controls into pipelines, automation frameworks, and platform services, including secrets management, identity and access controls, vulnerability checks, policy enforcement, and audit readiness.
Use AI-enabled engineering and operations tools responsibly to support troubleshooting, repetitive task automation, documentation, telemetry analysis, and developer productivity while maintaining data security and human review.
Support containerization and cloud-native practices where appropriate, including Docker, Kubernetes, orchestration, artifact management, image scanning, and deployment standardization.
Create and maintain technical documentation, runbooks, knowledge base articles, architecture diagrams, and operational standards.
Research, evaluate, and recommend tools, patterns, and practices to improve software delivery, reliability, cloud operations, developer experience, and operational efficiency.
Participate in incident response, release support, and after-hours escalation as needed for critical environment, deployment, or production-impacting issues.
Complete all other duties as assigned.