Manager – Forward Deployment Engineer (DevOps, AI Deployment)

PwC Acceleration Center India

Hyderabad

On-site

INR 3,000,000 - 7,000,000

Full time

9 days ago
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Job summary

PwC Acceleration Center India is seeking an experienced Senior DevOps/Platform Engineer with 10+ years of experience and professional AWS DevOps/solutions architecture credentials. The role emphasizes leading teams, owning delivery at scale, and driving AI productionisation strategies.

Strong leadership and client interaction are essential. Candidates should have hands-on depth in AWS, Kubernetes, CI/CD, IaC, and enterprise security constraints, with a background in consulting or managed

Qualifications

  • Extensive DevOps or platform engineering leadership and delivery ownership.
  • AWS, Kubernetes, CI/CD, and Infrastructure as Code expertise.
  • Enterprise integration with security, identity, and governance constraints.
  • Proven ownership of delivery outcomes and senior customer relationships.
  • Strategy for productionising AI at scale (LLMOps/MLOps) including responsible AI, with delivery background.
  • Strong leadership and communication; decisive under pressure.

Skills

DevOps leadership
AWS
Kubernetes
CI/CD
Infrastructure as Code
LLMOps/MLOps
AI productionising
Security governance
Delivery ownership
Leadership
Customer relationships

Tools

Palantir Foundry
Databricks
Snowflake

Job description

Experience Required-10+years
Mandatory -AWS Certified Solutions Architect – Professional and/or AWS Certified DevOps Engineer – Professional
Mandatory-Devops Experience , Aws certified , LLM experience

Total Experience-

Current Location-

Preferred Location-

Notice period- up to 45 days only

Current CTC-

Expected CTC-

Required Qualifications
  • Extensive DevOps or platform engineering experience, including leading teams and owning delivery at scale.
  • Current depth in AWS, Kubernetes, CI/CD, and Infrastructure as Code.
  • Proven enterprise integration experience with security, identity, and governance constraints.
  • Proven ownership of delivery outcomes and senior customer relationships.
  • A clear strategy for productionising AI at scale (LLMOps/MLOps), including responsible AI, backed by delivery experience.
  • Strong leadership and communication skills; decisive under pressure.
Preferred Qualifications
  • Enterprise AI and data platforms (Palantir Foundry, Databricks, Snowflake).
  • A background in consulting or managed services.
  • Experience in regulated industries.
  • A leadership or delivery certification (e.g., PMP, SAFe).
  • AWS Certified Solutions Architect – Professional and/or AWS Certified DevOps Engineer – Professional.
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