Expertise in cloud architecture across Azure AWS and GCP. (minimum two mandatory)
Deep understanding of platform engineering principles including internal developer platforms golden paths and DevEx tooling. Awareness of major tool and technologies in these areas.
Strong experience in Generative AI coding assistants LLM models including but not limited to OpenAI Cloude Gemini and similar.
Job requirements
Role Brief
The Platform Engineering Studio Leader is a director-level enterprise architect which will be a hands-on strategic leadership role responsible for building scaling and guiding a high-performing Product Engineering Studio across Brillio. This role is at the intersection of thought leadership solution innovation and platform engineering driving the creation of cutting-edge accelerators and product-centric solutions that address the most complex customer challenges.
You will lead and mentor a team of 20 architects and engineers across product and platforms space drive technology conversations with clients and contribute directly to solutioning design and roadmap development for next-generation platforms. This person will work closely with vertical CTOs across all industry verticals to understand their requirements and provide appropriate support. This is a highly visible role requiring strong enterprise architecture depth cloud platform engineering and AI experience and proven people leadership.
Key Responsibilities
Platform-Centric Solution Leadership: Architect and guide the creation of reusable scalable cloud-native platform engineering accelerators and solution blueprints.
Enterprise Technology Architecture Excellence: Engage across the enterprise to ensure strategic alignment of technology capabilities to business outcomes
Studio and COE Oversight: Lead and manage a 20 member team comprising platform engineers product architects and specialists across Generative AI platform engineering data application and cloud technologies.
Client Advisory and Engagement: Present architectural ideas facilitate strategic discussions and drive technology thought leadership with client CTOs and senior stakeholders.
Sales Support: Enable and substantiate GTM and account leadership to shape and sell Brillios platform engineering portfolio offerings by understanding refining business problems and providing purpose-fit solutions Point of views and technical engagements with customers.
Asset building: Analyze and assimilate market trends repeatable business problems and shape & drive creation of reusable assets and accelerators to maintain a competent portfolio of offerings in the space of platform engineering.
Hands-On Architecture and Solutioning: Drive hands-on involvement in architecture design sessions PoCs and solution implementations across multi-cloud and platform engineering scenarios.
Cross-Functional Collaboration: Work with Brillios business units delivery leads and GTM teams to evangelize platform engineering solutions and support large transformation initiatives.
Talent Development and Mentoring: Build a culture of innovation continuous learning and architectural rigor within the team; mentor emerging leaders and architects.
Innovation and Thought Leadership: Champion emerging technologies contribute to Brillio IP/accelerator development and represent Brillio at industry forums.
Required Industry Experience
10 years of experience in solution and technology architecture and technology strategy roles.
Proven experience leading platform or product engineering teams in a global matrixed environment.
Demonstrated ability to drive platform modernization and platform-as-a-product strategies.
Proven experience in designing developing and operating cloud-native platform products/solutions across industries.
Strong client engagement experience across multiple domains preferably in high-tech or software-led enterprises.
Required Technical Experience
Expertise in cloud architecture across Azure AWS and GCP. (minimum two mandatory)
Deep understanding of platform engineering principles including internal developer platforms golden paths and DevEx tooling. Awareness of major tool and technologies in these areas.
Strong experience in Generative AI coding assistants LLM models including but not limited to OpenAI Cloude Gemini and similar.
Strong experience in AI/ML or data engineering use cases as part of platform build-outs.
Knowledge of modern architecture paradigms such as microservices event-driven systems infrastructure as code Kubernetes CI/CD and containerization.
Hands-on with architectural tools reference models and governance frameworks.
Required Functional Skills
Strong presentation articulation and storytelling abilities for C-level and executive stakeholders.
Ability to influence and collaborate across functions geographies and cultures.
Founders mindset: ownership proactivity strategic thinking and execution focus.
Growth mindset: bias toward innovation experimentation and continuous improvement.
Strong people leadership and mentoring skills; capable of building high-performing purpose-driven teams.
Customer Obsession with ability to multi-task prioritize and self-organize and lead the team under time critical customer demands and deliverable expectations periodically.
Education and Certifications
Bachelors degree in computer science Engineering or a related technical discipline.
Cloud certifications in Azure/AWS/GCP and platform engineering certifications are a strong plus.
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