JOB SUMMARY
The Senior DevOps & Python Platform Engineer will design, build, and operate highly available enterprise content management platforms supporting both Application Enterprise Content Management (AECM) and End User Content Management (EUCM) use cases. This role blends hands-on Python engineering, platform integration, DevOps practices, and production support. The successful candidate will bring a strong sense of ownership, excel at solving complex distributed system problems, and effectively communicate with both technical and non-technical stakeholders. The role will play a key role in shaping platform reliability, scalability, and customer experience while contributing to ongoing modernization initiatives.

Key Responsibilities
* Design, develop, and maintain scalable content management solutions, integrations, and automation using Python (primary) and Java (secondary).
* Lead and contribute to technical design discussions; produce high quality design and architecture documentation.
* Build and enhance tooling, libraries, and automation to support platform integration, operations, and reliability.
* Perform code reviews and help establish and reinforce engineering best practices.
* Mentor and provide technical guidance to other engineers on the team.
* Deploy, configure, and operate Alfresco ECM platforms in on-premises private cloud environments, providing Level 3 production support.
* Evaluate and assess SharePoint Embedded as an application content management solution, partnering with internal customers on proofs of concept where applicable.
* Collaborate with vendor engineering and support teams on escalations, patches, and product upgrades.
* Maintain accurate and up-to-date architecture diagrams, configuration standards, release notes, and operational runbooks for Level 2 support teams.
* Troubleshoot complex issues across the full application stack, including web servers, application servers, databases, and authentication layers.
* Participate in an engineering on-call rotation (approximately 1 week every 4/5 weeks) to support production platforms.
* Act as an escalation point for complex customer issues, working closely with Level 2 support, infrastructure, and security teams to diagnose and resolve incidents.
* Communicate clearly with customers regarding issue status, root cause analysis, and resolution plans.
* Analyze trends in incidents and customer feedback to drive platform improvements, defect remediation, and preventive measures.
* Continuously review existing workflows and operational processes, recommending and implementing improvements to reliability, scalability, and security.

Required Qualifications
* 6+ years of experience in software engineering, application development, or DevOps roles.
* 3+ years of hands-on development experience with Python, with working knowledge of Java.
* 3+ years of experience supporting Linux and/or Windows systems, including troubleshooting, shell scripting, and automation.
* Strong proficiency with relational databases, preferably Microsoft SQL Server, and writing SQL queries.
* Solid understanding of networking fundamentals and experience working with load balancing technologies.
* Proven ability to troubleshoot and resolve issues in complex, distributed systems.

Preferred Qualifications
* Experience operating enterprise applications using Tomcat and Apache web servers.
* Familiarity with modern application security concepts and authentication mechanisms (e.g., Kerberos, Mutual TLS, OAuth/OIDC, SAML).
* Experience with build and dependency management tools such as Maven or Gradle.
* Exposure to containerization and orchestration technologies (e.g., Podman, Kubernetes).
* Experience building or supporting CI/CD pipelines, including tools such as Jenkins.
* Comfort working in an Agile/Scrum environment using tools such as Jira.
* Experience with Ansible or similar automation and configuration management tools.
* Knowledge of message queue or event driven technologies.
* Familiar with Github/Copilot environment, proficient with Git-based version control and DevOps best practices.
* Exposure to containerization technologies (e.g., Podman, Kubernetes).