DevOps Engineer

PwC Acceleration Center India; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

PwC Acceleration Center India seeks a senior DevOps/Platform Engineer to own delivery at scale, lead teams, and drive AI productionisation strategies (LLMOps/MLOps) with strong security governance and stakeholder management. Advanced AWS certifications are highly valued.

The candidate should bring enterprise experience in platforms like Palantir Foundry, Databricks, or Snowflake, and demonstrate proven customer-relationship and leadership capabilities in regulated environments.

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.

Skills

DevOps

Platform engineering

AWS

Kubernetes

CI/CD

Infrastructure as Code

LLMOps/MLOps

Delivery leadership

Security governance

Stakeholder management

Education

AWS Certified Solutions Architect – Professional

AWS Certified DevOps Engineer – Professional

Tools

Palantir Foundry

Databricks

Snowflake

Job description

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.