Senior DevOps Engineer

Wolters Kluwer•Coppell, MN

1d•Onsite

About The Position

As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands‑on engineering excellence—building, automating, and operating cloud‑native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud‑native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code‑as‑infrastructure, and continuous improvement.

Requirements

Bachelor’s degree in Engineering, Computer Science, or a related field (Master’s degree preferred).
5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands‑on software engineering experience.
Strong background in software development, with experience in languages such as Python, .NET, or Java.
Proven experience working with cloud platforms (Azure and AWS).
Proficiency in scripting languages such as PowerShell and Bash.
Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS).
Strong experience with source control and automation tools, including Git.
Hands‑on experience with Infrastructure as Code tools such as Terraform or CloudFormation.
Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms.
Strong problem‑solving skills with attention to detail and operational excellence.
Ability to clearly communicate technical concepts to engineers and non‑engineering stakeholders.
Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership.
Experience building or supporting observability platforms and defining operational best practices.
Experience troubleshooting and automating diagnostics across Linux and Windows environments.

Responsibilities

Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing.
Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams.
Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance.
Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments.
Support and evolve cloud‑native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability.
Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis.
Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes.
Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing—without direct people management responsibilities.
Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility.
Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil.
Deploy, operate, and support business‑critical applications, ensuring high availability, fault tolerance, and performance optimization.
Participate in modernization initiatives, supporting the re‑architecture and cloud‑native transformation of legacy platforms.
Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements.
Participate in post‑incident reviews, contributing to blameless root cause analysis and long‑term corrective actions.
Participate in on‑call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible.