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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Software Engineer - **Company:** Wolters Kluwer - **Location:** Waltham, MA, United States - **Salary:** $82,700 - $141,650 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Amazon Web Services, Software Applications, Confluence, JIRA, Microsoft Azure, Bash Shell, Unix, Cloud Computing, Cloud Engineering, Configuration Management, Code Review, Collaborative Software, Information Systems, Computer Programming, Computer Engineering, Continuous Delivery, Continuous Integration, Linux, DevOps, Elasticsearch, Github, Groovy, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Key Management, Windows PowerShell, Scrum Methodology, Role-Based Access Control, Reliability Engineering, Site Reliability Engineering Practices, Ansible, Shell Script, Software Engineering, Datadog, Data Logging, Scripting, Enterprise Software Applications, Cloud Platform System, Software Troubleshooting, Reliability of Systems, Git, Cloudformation, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Hardware Infrastructure, Terraform, Splunk, Api Management, Azure Resource Manager, Docker, Jenkins, Golang, Programming Languages, Microservices - **Published:** November 13, 2026 - **Apply:** https://wk.wd3.myworkdayjobs.com/External/job/USA---Waltham-MA/Enterprise-Software-Engineer_R0061393 ## About the Role · Currently pursuing a bachelor's or master's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, Information Systems, or a related technical field. · Academic, personal, or professional experience with software development, scripting, system administration, cloud computing, or infrastructure automation. · Experience with at least one programming or scripting language, such as Python, Go, Groovy, PowerShell, Bash, or another shell-scripting language. · Foundational understanding of operating systems, networks, software applications, or cloud infrastructure. · Strong analytical and problem-solving skills. · Ability to investigate technical issues using logs, metrics, test results, and other available evidence. · Interest in learning cloud technologies, automation tools, container platforms, and site reliability engineering practices. · Ability to communicate clearly and collaborate effectively in a team environment. · Commitment to system reliability, security, accountability, and continuous learning. Preferred Qualifications · Exposure to Microsoft Azure, Amazon Web Services, or another cloud platform. · Familiarity with Linux, Unix, or Windows operating systems. · Experience with Git or another source-control platform. · Exposure to infrastructure-as-code tools such as Terraform, Azure Resource Manager, or AWS CloudFormation. · Familiarity with Docker, Podman, Kubernetes, or another container and orchestration platform. · Exposure to configuration-management tools such as Ansible. · Familiarity with CI/CD technologies such as Jenkins, Azure DevOps, or GitHub Actions. · Exposure to monitoring or observability technologies such as Datadog, Splunk, the Elastic Stack, or OpenTelemetry. · Familiarity with APIs, microservices, or enterprise API-management concepts. · Understanding of cloud authentication, authorization, role-based access control, identity and access management, or secrets management. · Exposure to agile practices or collaboration tools such as Scrum, Kanban, Jira, or Confluence. · Interest in site reliability engineering, DevOps, platform engineering, cloud engineering, or release engineering., · Hands-on experience with enterprise cloud infrastructure and site reliability engineering. · Exposure to Microsoft Azure, Amazon Web Services, infrastructure as code, containers, and CI/CD. · Experience using monitoring, logging, and observability data to assess system health and troubleshoot issues. · Opportunities to learn from experienced cloud, software, DevOps, security, and site reliability engineers. · Experience supporting development, testing, and production environments. · An understanding of how automation, observability, security, and engineering best practices contribute to dependable enterprise software. ## Description Wolters Kluwer Health is seeking an Enterprise Software Engineer - Cloud Systems to help build, automate, monitor, and improve the cloud infrastructure and engineering platforms that support our software products. You will work alongside experienced engineers and gain hands-on exposure to site reliability engineering, cloud computing, infrastructure as code, container technologies, monitoring and observability, and continuous integration and delivery. You will contribute to solutions that improve the reliability, scalability, security, and performance of development, testing, and production environments. This position provides an opportunity to learn how enterprise software and cloud platforms operate at scale while contributing to reliable technology used by healthcare professionals and internal engineering teams. What You'll Do · Assist with designing, implementing, and supporting cloud and on-premises infrastructure. · Develop automation that improves the reliability and consistency of development, testing, and production environments. · Contribute to cloud-native solutions using Microsoft Azure, Amazon Web Services, or similar cloud platforms. · Help create and maintain infrastructure using infrastructure-as-code and configuration-management practices. · Support containerized applications and container-orchestration platforms. · Contribute to continuous integration and continuous delivery pipelines. · Help improve monitoring, logging, alerting, and observability across applications and infrastructure. · Use system metrics and key performance indicators to evaluate platform health, performance, and stability. · Troubleshoot software, infrastructure, deployment, and performance issues using logs, metrics, alerts, and other technical evidence. · Collaborate with software engineers, cloud engineers, quality teams, and other technical partners to resolve issues and improve system reliability. · Compare possible technical solutions, identify advantages and trade-offs, and contribute to team decisions. · Participate in code reviews, iterative planning, and agile development practices. · Document technical solutions, operating procedures, and engineering best practices. · Follow secure engineering practices for cloud access, authentication, authorization, and secrets management. · Learn and apply new cloud technologies, programming languages, automation tools, and reliability-engineering practices.