Back
Tier‑1 brand plus metro locations but senior, specialized full‑stack+AI profile yields medium competition.
Cloud, .NET and AI skills transfer across industries, but enterprise consulting experience raises domain specificity.
Explicit 10+ years, mandatory Azure/.NET/AI skills and consulting leadership make shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead technical delivery of complex, cloud-native, AI-enabled Microsoft Azure solutions, including hands-on coding and engineering team leadership to ensure quality and predictable outcomes.
Define and drive technology strategy aligned with business objectives and Microsoft best practices, ensuring scalable, secure architectures and successful releases.
Collaborate across functions to deliver measurable business impact via AI-powered full-stack applications, managing technical risks, compliance, and stakeholder expectations.
10+ years professional experience in software engineering and solution delivery with focus on enterprise-scale, customer-facing projects.
5+ years experience in customer-facing delivery leadership roles.
Bachelor's degree in Computer Science Engineering or related field; advanced degrees and Microsoft certifications (e.g., AZ-204, AI-102) preferred.
Strong hands-on expertise in full-stack development (.NET, C#, JavaScript/TypeScript, Angular/React) and Microsoft Azure cloud services.
Experienced in leading architecture, technical delivery, and cloud-native AI application development for large-scale enterprise customers.
Deep knowledge of Microsoft Azure platform, AI tools (e.g., Semantic Kernel, LangChain), security (Zero Trust), and DevOps practices to ensure robust, compliant solutions.
Proven ability to translate customer needs into scalable technical designs and lead multi-disciplinary teams for innovation and digital transformation.