Enterprise Software Engineer

Wolters Kluwer•Waltham, MA

3d•$82,700 - $141,650

About The Position

Wolters Kluwer Health is seeking an Enterprise Software Engineer to help build, automate, monitor, and improve the cloud infrastructure and engineering platforms supporting its software products. The role offers hands-on exposure to site reliability engineering, cloud computing, infrastructure as code, container technologies, monitoring and observability, and continuous integration and delivery. The engineer will contribute to solutions that improve the reliability, scalability, security, and performance of development, testing, and production environments, while learning how enterprise software and cloud platforms operate at scale.

Requirements

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.

Nice To Haves

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.

Responsibilities

Assist with designing, implementing, and supporting cloud and on-premises infrastructure.
Develop automation to improve the reliability and consistency of development, testing, and production environments.
Contribute to cloud-native solutions using Microsoft Azure, Amazon Web Services, or similar 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 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.