VP/Senior Solution Architect/Head of Engineering for an IT company

VP/Senior Solution Architect/Head of Engineering

1 Nos.
114112
Full Time
17.0 Year(s) To 25.0 Year(s)
30.00 LPA TO 40.00 LPA
IT Software- Application Programming / Maintenance
IT-Software/Software Services
Job Description:

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 platformsAI/MLsecurity, and application layers.
  • Champion modern, scalable, secure, and future-ready platforms using microservicesevent-driven architecture, and API-first designs.
  • Lead and mentor distributed engineering teams across geographies and domains.
  • Establish high-performance engineering practices including AgileCI/CDDevSecOpsSRE, 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.

 

Company Profile

Leading IT Firm for enterprise cloud adoption.

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