Technical Program Manager

Maruthi Technologies Inc
Garland, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Garland, United States of America

Tech stack

API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Confluence
JIRA
Cloud Computing
Cloud Engineering
Continuous Delivery
Data Infrastructure
Scrum
Azure
Software Deployment
Software Engineering
Statistical Process Control (SPC)
Large Language Models
Togaf
Machine Learning Operations
Cloud Optimization
Microservices

Job description

We are looking for an experienced Technical Program Manager to drive the delivery of complex, large-scale technology initiatives spanning Cloud infrastructure, AI/ML platforms, and Enterprise Architecture. You will operate at the intersection of technology strategy and execution - bridging the gap between engineering teams, product stakeholders, and executive leadership.

You are both a systems thinker and a hands-on operator, equally comfortable discussing cloud architecture patterns as you are managing cross-functional program cadences and aligning delivery to organizational OKRs., 1. Own end-to-end program delivery for large-scale Cloud and AI/ML platform initiatives, from strategy through launch and continuous improvement.

  1. Partner with Enterprise Architects to ensure program deliverables align to the target-state architecture, driving consistency across domains.
  2. Lead cross-functional Agile Release Trains and program increments; facilitate PI Planning, sprint reviews, retrospectives, and dependency management.
  3. Build and maintain comprehensive program plans, risk registers, and stakeholder communication frameworks for programs spanning multiple engineering teams.
  4. Translate ambiguous business and technology requirements into well-scoped, executable epics, features, and milestones with clear acceptance criteria.
  5. Define, track, and communicate engineering KPIs and delivery metrics (lead time, deployment frequency, DORA, SLOs) to senior leadership.
  6. Manage AI/ML program portfolios including MLOps platform build-out, model deployment pipelines, and responsible AI compliance checkpoints.
  7. Identify and proactively mitigate technical, resource, and delivery risks, escalating blockers with recommended resolution paths.
  8. Drive cloud migration and modernization programs in collaboration with infrastructure, security, and application teams.
  9. Foster a culture of engineering excellence, continuous delivery, and psychological safety across distributed teams.

Requirements

API & microservices strategy

  • Legacy modernization programs

  • Technology roadmap alignment

? Agile Delivery

  • SAFe, Scrum, Kanban at scale

  • PI Planning & ART coordination

  • OKR-driven delivery models

  • Engineering velocity & metrics

MUST HAVE

  • 8+ years in technical program or project management
  • Proven delivery of cloud-native programs at scale
  • Hands-on experience with AI/ML or data platform programs
  • Strong Agile & SAFe practitioner (certification a plus)
  • Deep understanding of enterprise architecture concepts
  • Exceptional stakeholder management up to C-suite
  • Experience with Jira, Confluence, or equivalent tooling

NICE TO HAVE

  • Cloud certifications (AWS Solutions Architect, GCP Pro, etc.)
  • PMP, PgMP, or SAFe SPC certification
  • Background in software engineering or solutions architecture
  • Experience with GenAI / LLM production deployments
  • Familiarity with TOGAF or other EA frameworks
  • FinOps or cloud cost optimization experience
  • Exposure to platform engineering or developer experience programs

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