DevOps Engineer (MarTech)

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Required Skills

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.

• 7+ years of technology delivery, software engineering, SaaS platform engineering, digital marketing technology, or enterprise application support experience.

• Hands-on experience leading technical delivery for enterprise SaaS or marketing technology platforms, including onboarding, configuration, integration, lifecycle management, and production support.

• Strong understanding of DevOps practices, including automation, source control, release management, CI/CD, environment management, monitoring, and operational readiness.

• Experience with API-based integrations, REST services, JSON, authentication patterns, and troubleshooting integration failures across distributed systems.

• Working knowledge of enterprise identity, access management, and security integration patterns such as SSO, OAuth, OIDC, SAML, roles, entitlements, and provisioning workflows.

• Strong analytical, troubleshooting, and root cause analysis skills, with the ability to resolve complex technical issues in production environments.

• Ability to translate stakeholder needs into technology requirements, solution options, implementation plans, and clear delivery outcomes.

• Strong communication skills with the ability to engage technical teams, non-technical stakeholders, vendors, product owners, risk partners, and senior leaders.

• Experience working in Agile delivery environments with a strong sense of ownership, prioritization, collaboration, and accountability.

Key Responsibilities

• Provide hands-on technical leadership for Marketing Technology and Social Technology platforms, including solution design, implementation, integration, onboarding, production support, and escalation management.

• Lead end-to-end delivery of platform enhancements, SaaS integrations, automation initiatives, and roadmap capabilities across Martech and SocialTech ecosystems.

• Partner with business stakeholders to translate marketing, compliance, analytics, and client engagement objectives into clear technical requirements and scalable engineering solutions.

• Design, implement, and govern secure integrations across enterprise platforms using APIs, identity and access management patterns, data pipelines, provisioning workflows, and vendor-supported integration capabilities.

• Improve platform reliability, resiliency, and operational efficiency through DevOps practices, CI/CD, automation, monitoring, documentation, and continuous service improvement.

• Act as a Level 3 technical escalation point for complex production incidents, root cause analysis, vendor coordination, and remediation planning.

• Support secure and compliant platform delivery by aligning solutions to cybersecurity, data governance, privacy, risk, change management, and operational control requirements.

• Develop and maintain technical documentation, support procedures, runbooks, onboarding guides, architecture materials, and knowledge transfer content for engineering and managed service support teams.

• Lead technical design discussions, promote engineering best practices, and contribute to a collaborative Agile delivery culture.

• Support the design and planning of key architecture deliverables, including security architecture designs, C4 diagrams, architecture decision records, and technical design documents, to clearly document solution scope, risks, controls, dependencies, and implementation decisions.

• Evaluate emerging capabilities such as AI assistants, GenAI-enabled workflow improvements, personalization, analytics, and automation opportunities to improve business outcomes and reduce manual effort.