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Hyderabad
Rakesh Byier

Rakesh Byier

Quality Engineering Architect and Manager

Technology / Internet

Hyderabad, Hyderabad

Social

Services offered

I'm Rakesh, dynamic enabler in SDLC ecosystem at a senior professional capacity, predominantly in cybersecurity space building enterprise strategies aligned with organization objectives, expert assistance with my niche capabilities

I have rich experience in driving quality engineering initiatives, framework implementations, processes, best practices ensuring high quality software deliveries , and real-time strategies and KPI ideation in enterprise level security product(IAM) across various portfolios of the product solutions.


Core responsibilities include successful delivery of org OKR's that relate to quality, data management, close collaboration with devops and security teams to monitor reliability, observability, resiliency of integrated apps 24*7, successful product feature releases, CICD pipeline automation, code reviews, customer- employee feedback loops, and many more details available in resume.

Quality engineering
Iam
Cybersecurity
Pam
Devops
Approximate rate: ₹ 2,000 per hour

Experience

  • Seasoned professional on cybersecurity products like IAM and PAM with a key focus on SSO, MFA, WPM, ZTP etc.
  •  Proficient in conducting gap analysis between customer experience and support teams, leveraging insights to enhance configuration management and improve customer outcomes w.r.t CyberArk IAM capabilities.
  • Inclined being more customer centric in understanding the pain points/ requirements while supporting IAM and PAM environments.
  •  Gaining client’s trust by sharing strategies and risk factors, timely or as required.
  •  Skilled in orchestrating feedback loops across CI/CD pipelines, ensuring seamless collaboration between dev-qa-devops-devsecops teams to drive operational efficiency.
  •  Gaining client’s trust by sharing strategies and risk factors, timely or as required

Education

B.Tech in Computer  Science

Latest AI usage w.r.t  Foundation models, LLM's,  NLP's, Neural networks, AI agents, agentic AI adaption/integration with organization solutions for operational efficiency , tech stack innovation, dynamic customer experience.

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