Senior DevOps & Python Platform Engineering Specialist

Role overview

Software development and engineering

• Build and maintain content-management solutions, integrations, tooling, libraries, and automation using Python primarily and Java secondarily.
• Contribute to technical design discussions, create architecture documentation, review code, and reinforce engineering practices.

Platform and operations

• Deploy, configure, and operate Alfresco ECM platforms and provide Level 3 production support.
• Evaluate SharePoint Embedded and Snowflake as content-management solutions and contribute to proofs of concept where applicable.
• Coordinate with vendors on escalations, patches, and upgrades; maintain diagrams, configuration standards, release notes, and runbooks.
• Troubleshoot full-stack issues across web and application servers, databases, and authentication layers.

Support and customer engagement

• Participate in the on-call rotation and act as an escalation point for complex customer issues.
• Work with Level 2 support, infrastructure, and security teams to diagnose incidents and communicate status, root causes, and resolution plans.
• Use incident and customer-feedback trends to improve reliability, scalability, security, and preventive measures.

Required qualifications

• 10+ years in software engineering, application development, or DevOps roles.
• 5+ years of hands-on Python development and working knowledge of Java.
• 5+ years supporting Linux and/or Windows systems, including troubleshooting, shell scripting, and automation.
• Strong relational database proficiency and SQL-query writing; 3+ years with Microsoft SQL Server is preferred.
• Networking fundamentals, load-balancing experience, and ability to troubleshoot complex distributed systems.

Preferred qualifications

• Experience with Tomcat and Apache web servers; familiarity with application security and authentication such as Kerberos, Mutual TLS, OAuth/OIDC, or SAML.
• Experience with Maven or Gradle, Podman or Kubernetes, CI/CD pipelines such as Jenkins, or Ansible.
• Familiarity with Git-based version control, GitHub Copilot or other AI-assisted development tools, and DevOps practices.
• Knowledge of message queues or event-driven technologies and enterprise architecture artifacts is preferred.

Compensation and benefits

• The posting gives a base compensation range of 70,000 to 90,000 without stating currency or pay cadence.
• The role may be eligible for variable incentives, bonuses, or commissions; benefits are available to eligible regular full-time employees and depend on local policy.

About Capgemini