Job Description

Practice Manager – Cloud, DevOps & AI Practice

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Company: Teceze Ltd

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Position: Practice Manager – Digital Engineering & AI Innovation

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Practice Area: Cloud & DevOps, AI & Intelligent Automation, Application Modernization

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Location: Chennai or Bangalore

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Employment Type: Full-time

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About Teceze

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Teceze is a global technology partner focused on operational resilience, digital transformation, and scalable growth. We simplify architectural complexity and accelerate business velocity by uniting next-generation innovation under a highly accountable delivery model.

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Our Digital Engineering Innovation Engine integrates Cloud & DevOps frameworks, Application Modernization, and AI & Intelligent Automation. We construct production-grade computing, delivery pipelines, and data architectures that allow enterprise clients to transform legacy operational structures into scalable, future-ready business outcomes.

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Position Overview

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We are seeking a visionary, growth-oriented, and highly execution-driven Practice Manager to lead and scale our Cloud, DevOps, and AI Practice. In this strategic role, you will hold end-to-end accountability for the health, growth, capabilities, and delivery excellence of this specialized business unit.

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You will operate at the intersection of business strategy, technology leadership, and talent enablement. As the Practice Manager, you will define our market offerings, support pre-sales engineering to win high-impact enterprise accounts, oversee global delivery frameworks, and cultivate a world-class engineering team. The ideal candidate can confidently pivot between high-level C-suite consulting and deep technical governance across public cloud, continuous integration, and generative AI initiatives.

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Key Responsibilities

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1. Practice Strategy & Offering Development

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- Define the commercial roadmap, solution offerings, and go-to-market (GTM) strategy for the Cloud, DevOps, and AI practice lines.
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- Continuously evaluate emerging tech trends (e.g., LLMOps, serverless architectures, FinOps, agentic AI workflows) to build highly relevant, repeatable transformation playbooks for enterprise clients.
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2. Pre-Sales Support & Revenue Acceleration

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- Partner closely with the Business Development team as the primary technical and strategic authority during early-stage client pursuits.
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- Lead executive discovery workshops, architect high-level solutions, review technical proposals, and construct robust Statements of Work (SOWs).
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- Drive practice-sourced revenue growth by identifying expansion opportunities within existing accounts.
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3. Delivery Governance & Quality Assurance

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- Provide leadership, technical direction, and delivery oversight across a portfolio of complex digital transformation projects.
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- Ensure projects are executed on time, within scope, and aligned with enterprise architectural best practices (e.g., Well-Architected Frameworks).
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- Act as the ultimate escalation point for delivery hurdles, working alongside Solution Architects to maintain client satisfaction.
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4. Talent Management & Capability Building

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- Attract, mentor, and retain a high-performing team of cloud engineers, DevOps professionals, and AI/Data scientists.
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- Establish structured training programs, explicit certification pathways (AWS, Azure, GCP, NVIDIA, Hugging Face), and standard engineering methodologies to keep the practice at the absolute cutting edge.
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Requirements & Qualifications

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Experience

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- 10 to 14+ years of total IT experience, with at least 3 to 5 years spent in a practice leadership, delivery management, or principal consulting role within a global systems integrator or managed IT services environment.
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- A proven track record of managing a technical business unit, including direct experience driving pre-sales pipelines and hitting utilization/profitability benchmarks.
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- Demonstrated experience successfully steering multi-cloud transformations, agile software delivery initiatives, and enterprise AI production deployments out of sandbox environments.
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Technical Fluency

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- Cloud & DevOps: Strong conceptual and strategic understanding of multi-cloud architectures (AWS, Azure, GCP), Infrastructure as Code (Terraform), container orchestration (Kubernetes), and modern CI/CD patterns.
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- Artificial Intelligence: solid understanding of Machine Learning lifecycles (MLOps), Generative AI deployment architectures (RAG systems, vector data engineering), and data integration pipelines.
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- Ability to evaluate the commercial feasibility, infrastructure costs, and business ROI of complex technical systems.
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Core Competencies

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- Executive Presence: Superb communication, negotiation, and storytelling skills, with comfort acting as a trusted advisor to C-level executives (CIOs, CTOs, CDOs).
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- Operational Excellence: Strong organizational skills with the ability to manage resource allocation, project utilization rates, and global delivery margins effectively.
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📌 Practice Manager - Cloud, DevOps & AI Practice (Tamil Nadu)
🏢 TECEZE
📍 Tamil Nadu