1 Opening(s)
17.0 Year(s) To 25.0 Year(s)
30.00 LPA TO 40.00 LPA
Opening for VP/Senior Solution Architect/Head of Engineering for a leading IT Consulting Company at Chennai Location
Position: VP/Senior Solution Architect/Head of Engineering
Exp: 17-25 years
Location: Chennai
Reporting To: CTO / CEO
Function: Technology Leadership
Type: Full-Time | Executive Level
Key Responsibilities
Shape and evolve multi-domain technology roadmap.
Lead enterprise architecture initiatives across cloud platforms (AWS, Azure, GCP), data platforms, AI/ML, security, and application layers.
Champion modern, scalable, secure, and future-ready platforms using microservices, event-driven architecture, and API-first designs.
Lead and mentor distributed engineering teams across geographies and domains.
Establish high-performance engineering practices including Agile, CI/CD, DevSecOps, SRE, and container-based infrastructure.
Foster a culture of excellence, ownership, and continuous innovation with robust observability and DevOps at scale.
Collaborate with business, product, and sales teams to design solutions that solve real-world problems.
Ensure architectural consistency, scalability, and resilience across projects and domains.
Experience Required:
17–25 years of progressive experience in technology roles.
At least 7+ years in senior/executive leadership positions.
Demonstrated success in scaling engineering teams, driving platform-led transformations, and leading enterprise-scale architecture.
Proven leadership across multiple industries—ideally FinTech, HealthTech, Retail, or Industrial/Manufacturing.
Skills Stack:
Cloud Platforms: AWS, Azure, GCP
Architecture & Design: Microservices, APIs, Event-Driven Architecture
Data & AI/ML: Data platforms, machine learning, analytics infrastructure
DevOps & Operations: CI/CD, DevSecOps, SRE, Containers (Docker/Kubernetes), Observability tools
Methodologies: Agile, Lean, XP, and innovation delivery at speed.
Education Qualifications:
Bachelor’s degree in Engineering, Computer Science, or a related field (required).
Master’s degree preferred.
Patents, research publications, or open-source contributions are a strong plus.
Prior experience in high-growth, startup-to-scale-up environments is highly desirable.
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15.0 Year(s) To 20.0 Year(s)
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