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PwC

Forward Deployed Engineer – Automation, Manager

PwC

. Lead client support work within the Managed Services practice .

Posted 11/10/2026full-timeBangalore • IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading automation-focused managed services, with a strong emphasis on project planning, delivery management, and team development. Proficient in applying automation frameworks and tools to enhance operational efficiency and service delivery.

Highest-signal resume keywords
Automation Framework DesignAWSKubernetesCI/CDDevOps

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Automation SolutionsProcess OptimizationWorkflow AutomationEnterprise IntegrationData Quality AutomationProject PlanningBudgetingTimeline ManagementPerformance MetricsAI Productionisation
Soft Skills
Team DevelopmentAnalytical ThinkingCoachingJudgmentProfessional Integrity
Industry Keywords
Managed ServicesDelivery ManagementClient EngagementSecurityIdentity Governance

Tech Stack

Tools & technologies
AWSKubernetes

About the role

Key responsibilities & impact
  • Lead client support work within the Managed Services practice
  • Design and deliver automation solutions that streamline operations, reduce manual effort, and improve process performance
  • Motivate and develop teams, manage delivery workstreams, and guide complex work from planning through completion
  • Oversee delivery teams and manage automation initiatives across managed service operations
  • Coach team members and review work for quality and timeliness
  • Handle issues with sound judgment and professional integrity
  • Lead automation-focused managed services workstreams across client engagements and delivery teams
  • Drive project planning, budgeting, timeline management, and milestone tracking
  • Apply automation framework design, workflow automation, and digital tooling to streamline business processes and service delivery
  • Guide the design and implementation of automation solutions
  • Review delivery risks, dependencies, and performance metrics
  • Translate client needs into scalable automation approaches
  • Monitor service performance, data quality automation, and delivery progress
  • Use analytical thinking and process optimization to simplify workflows and enhance operating models

Requirements

What you’ll need
  • At least a Bachelor's degree
  • At least 9 years of experience
  • Oral and written proficiency in English required
  • 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

Benefits

Comp & perks
  • Hands-on learning opportunities
  • Cutting-edge tools
  • Inclusive culture