Global Head of SDLC Solution
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Job Description
Global SDLC leader shaping Valiantys’ Atlassian, DevOps, and AI professional services practice. Building repeatable offerings, leading regional teams, and driving enterprise software delivery transformation.
Responsibilities:
- Own Valiantys’ global Software Development Lifecycle (SDLC) and Developer Experience (DevEx) practice
- Define and execute the global SDLC/DevEx practice strategy and business plan
- Build and lead regional Practice Leads across EMEA, North America, and APAC
- Create go-to-market-ready offerings, Solution Blueprints, IP, accelerators, and delivery playbooks
- Productise regional delivery experience to improve sales velocity, delivery quality, reuse, and margin
- Lead executive client conversations with CTO, VP Engineering, CISO, and equivalent stakeholders
- Partner with Sales, Marketing, Professional Services, and Managed Services to generate and close strategic opportunities
- Lead structured discovery and gap analysis, translating business needs and maturity gaps into modernization visions and roadmaps
- Drive adoption of global standards, asset reuse, and continuous improvement across regional teams
- Build practitioner capability through enablement, certifications, mentorship, and knowledge management
- Maintain a market point of view on SDLC, DevEx, DevOps, and emerging AI capabilities
- Shape solutions across DevOps and CI/CD modernization, Developer Experience, agentic AI, AI-assisted software development, SDLC governance, quality engineering, and Atlassian Software Collection adoption
Requirements:
- 10–15 years of experience in professional services, technology consulting, or enterprise software, with a significant portion in SDLC, DevOps, developer experience, or engineering tooling
- Track record of building and scaling a professional services practice or solution line, including repeatable offerings, IP assets, and delivery playbooks
- Commercial experience partnering across Sales, Marketing, Professional Services, and Managed Services to generate and close pipeline
- Deep familiarity with AI applied to software development, ideally including hands-on exposure to agentic AI tools, AI-assisted development pipelines, or AI-augmented DevOps
- Experience engaging at CTO, VP Engineering, or equivalent level
- Deep Atlassian ecosystem knowledge, including the Software Collection, Jira Software, Bitbucket, Compass, Confluence, and adjacent tools
- Familiarity with how the Atlassian Software Collection is positioned and deployed across enterprise environments
- Experience operating across EMEA, AMER, and APAC
- Proven ability to lead structured discovery and gap analysis workshops and translate findings into modernization visions and roadmaps
- Atlassian partner certifications are a strong advantage
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