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Cloud & ITO Practice Lead

Cloud & ITO Practice Lead at Gravity Engineering Services Pvt Ltd · Delhi, Gurugram, Noida, Ghaziabad, Faridabad · 15 - 18 years · ₹35L - ₹50L / yr · Profitable · Posted 29 Sep 2026

Gravity Engineering Services Pvt Ltd's logo

Cloud & ITO Practice Lead

aarushi Mahajan's profile picture
Posted by aarushi Mahajan
15 - 18 yrs
₹35L - ₹50L / yr
Delhi, Gurugram, Noida, Ghaziabad, Faridabad
Skills
DevOps
MLOps
Team leadership
Apache CloudStack
Best practices
Infrastructure
Google Cloud Platform (GCP)
skill iconAmazon Web Services (AWS)
Architecture

Role Summary

Own the end-to-end Cloud & ITO practice engine—build and take platform/solution-led offers to market, drive rapid expansion across existing accounts, and run a scalable, profitable managed services model (CloudOps/InfraOps/DevSecOps/SRE). This role is accountable for GTM + delivery governance + margin with strong standards, automation, FinOps discipline, and measurable operational outcomes (availability, cost, cycle time, MTTR).

 

Key Responsibilities

Create & Take Offers to Market (Platform / Solutions-Led)

Build signature offers with clear outcomes, scope boundaries, and pricing/GM guardrails across Cloud Migration & Modernization, CloudOps/Managed Cloud Services, DevSecOps enablement & platform engineering, SRE/reliability engineering, FinOps from Day‑1, and hybrid/multicloud operating models.

Own assets that win: reference architectures, runbooks, proposal modules, ROI/TCO models, and demo/POV kits.

Lead platform-first positioning: “solution + operating model” with dashboards, governance, and measurable outcomes.

Rapid Expansion Across Existing Accounts (Land-and-Expand)

Create expansion plays inside current accounts: cloud cost optimization, reliability uplift, security hardening, DC exit, managed services takeovers, and automation of ops.

Partner with Sales to build account expansion blueprints and convert them via workshops/POVs.

Operate a consistent pipeline-to-expansion cadence: discovery → workshop/POV → scale program.

Managed Services Ownership (Cloud + Infra + Ops)

Stand up and scale Managed Cloud & Infrastructure Services: L2/L3 support model, ITIL-aligned processes, SLAs/OLAs, on-call, and incident/problem/change management.

Define a service catalog, runbooks, shift-left playbooks, and automation-first operations (ticket deflection, self-heal, IaC).

Establish governance: weekly ops reviews, monthly service reviews, and continual improvement plans (CIP).

Delivery Excellence & Profitability

Run a profitable model: utilization/pyramid health, delivery productivity, margin realization, leakage control, and change-order discipline.

Ensure operational compliance and audit readiness (security, access controls, change control).

Drive standardization and reuse of accelerators (IaC modules, golden pipelines, monitoring templates, hardening baselines).

Tool & Partner Ecosystem

Drive partner-led motions with hyperscalers and key platform providers; define co-sell plays and enablement.

Prevent tool sprawl: standardize toolchain and enforce engineering standards and controls across accounts.

Talent & Practice Build-out

Build/lead architects, CloudOps leads, SRE, DevSecOps, network/infra SMEs; define competency tracks and certifications.

Create a skills-to-demand plan and maintain a deployment-first model with bench-to-billable conversion discipline.

 

Areas of Expertise / Experience

Cloud architecture and engineering on AWS/Azure/GCP; hybrid and multicloud patterns

CloudOps/InfraOps managed services: ITSM, L2/L3 operations, SRE/observability, service governance

DevSecOps and platform engineering: CI/CD, IaC, environment automation, policy-as-code

FinOps: unit cost models, tagging standards, rightsizing, RI/SP governance, chargeback/showback

Security posture management: IAM patterns, CSPM, vulnerability management, change/access controls

Automation-first operations: self-healing, runbook automation, ticket deflection, reliability engineering

 

Success Metrics

Growth + expansion: bookings/pipeline, win-rate, and expansion penetration across existing accounts

Operational outcomes: SLA attainment, MTTR/incident reduction, change success rate, uptime/service reliability

Cost & efficiency: unit cost reduction, rightsizing savings, automation coverage, ticket deflection/shift-left

Profitability: GM at booking + realization, utilization, estimation variance/leakage control

Scalability: reuse of accelerators/IaC, certification progress, partner-sourced pipeline

 

Tool Expertise & Platforms (expected/preferred)

Cloud

AWS / Azure / GCP (architecture + operations)

IaC & Configuration

Terraform, CloudFormation/Bicep, Ansible

CI/CD & DevSecOps

GitHub/GitLab/Jenkins/Azure DevOps

SAST/DAST; secrets management

Observability/APM

Datadog, New Relic, Dynatrace, Prometheus/Grafana, ELK/Splunk

ITSM

ServiceNow (preferred), Jira Service Management

Security & Posture

CSPM (e.g., Prisma Cloud / Microsoft Defender for Cloud), policy-as-code, IAM patterns

FinOps

Tagging standards, dashboards, RI/SP governance; chargeback/showback

 

Experience

15–18+ years in cloud/infra/ITO leadership; 5+ years running managed services or practice portfolios.

Strong pursuit leadership across discovery → solution → estimate → SoW → delivery handoff; comfort owning GM guardrails.

Proven record of building repeatable offers and scaling operations with measurable outcomes.

 

Skills

cloud architecture and engineering

managed services leadershipdevsecops and platform engineeringsite reliability engineering srefinops and cost optimizationsecurity and compliance


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About Gravity Engineering Services Pvt Ltd

Founded :
2012
Type :
Services
Size :
100-1000
Stage :
Profitable

About

We catalyze business growth by reimagining digital experiences that conquer complex challenges through innovation and agility. With our team of 300+ tech evangelists, we are building the digital infrastructure of our Partners positioning them to be the market leaders of their respective industries.
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Company social profiles

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  • Strong hands-on experience with AWS services, including EC2, VPC, IAM, S3, EKS, Lambda, and related services.
  • Proven expertise in Terraform for Infrastructure as Code.
  • Experience administering both Linux and Windows operating systems.
  • Experience designing and managing CI/CD pipelines using Jenkins and GitHub.
  • Proficiency with Git workflows and source-code management best practices.
  • Strong PowerShell scripting skills; familiarity with Python and/or Bash is a plus.
  • Experience with AWS Systems Manager (SSM), including creating and managing SSM Documents.
  • Hands-on experience managing Active Directory, including users, groups, policies, authentication, permissions, and AWS integration.
  • Solid understanding of cloud networking, security, monitoring, and troubleshooting.
  • Excellent problem-solving, communication, collaboration, and decision-making skills.


Nice-to-Have Skills


  • Experience with containerization and orchestration technologies, such as Docker, Kubernetes, and Amazon EKS.
  • Knowledge of monitoring and observability tools, such as Amazon CloudWatch, New Relic, and Sumo Logic.
  • An AWS certification, such as AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect.


Who You Are


  • You are eager to learn new technologies and continuously improve your skills.
  • You make sound decisions and take ownership of your work.
  • You are proactive, self-motivated, and comfortable taking initiative.
  • You are a strong communicator who enjoys collaborating with cross-functional teams.
  • You are committed to improving processes, automation, reliability, and operational efficiency.
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Shakthi M
Posted by Shakthi M
Bengaluru (Bangalore)
5 - 14 yrs
Best in industry
skill iconPython
Azure
Terraform
DevOps
  • Strong hands-on experience in Microsoft Azure Cloud.
  • Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
  • Basic understanding of Azure AI Foundry and AI-related Azure service setup.
  • Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
  • Strong knowledge of Terraform, especially:
  • Terraform state
  • plan / apply
  • troubleshooting failures
  • migration risks
  • Terraform Enterprise concepts
  • Strong Python coding capability, not just basic scripting.
  • Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
  • Good understanding of CI/CD pipelines.
  • Ability to troubleshoot pipeline failures.
  • Comfortable with YAML and JSON.
  • Ability to troubleshoot Azure infrastructure/platform issues.
  • Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
  • Basic awareness of agentic AI / LLM concepts.
  • Awareness of security and cost best practices.

Good to Have Skills

  • Hands-on experience with Harness.
  • Hands-on experience with Terraform Enterprise.
  • Exposure to LangGraph / LangChain.
  • Exposure to agentic AI workflows or skill creation.
  • Exposure to Claude or enterprise LLM integrations.
  • Knowledge of Azure ML Workspace, model registry, and managed endpoints.
  • MLOps / LLMOps knowledge.
  • FinOps / Azure cost optimization experience.
  • Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

 

Screening Priority:

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

 

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Ganesh Ram
Posted by Ganesh Ram
Bengaluru (Bangalore), Mumbai, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Hyderabad, Pune
7 - 10 yrs
₹15L - ₹20L / yr
CI/CD
skill iconKubernetes
helm
Terraform
yaml

Cloud Expertise(Azure):

• Strong understanding of cloud services and resources like AI services, webapp, database, including monitoring tools like Azure Monitor and Log Analytics.

• Experience with Infrastructure as Code (IaC) tools such as Arm template / Bicep/Terraform.

• Deep understanding of Networking concepts(DNS, DHCP , Hub and Spoke).

• Understanding on policies and security aspects of cloud.


Kubernetes & Helm:

• In-depth knowledge of Kubernetes concepts such as pods, services, ingress, config maps, and secrets.

• Understand of Kubernetes templates and its deployment.

• Proficiency with Helm/ Kustomize or equivalent for Kubernetes package management and deployment automation.

• Implement Kubernetes best practices, including security, networking, and scaling.

• Concepts of Docker and Containers


CI/CD & Programming:

• Hands-on experience with YAML-based CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).

• Familiarity with scripting and automation tools such as PowerShell, Azure CLI, or Bash.

• Proven skill in python programming and concepts.


Monitoring and Observability:

Expertise in creating and managing Grafana dashboards for visualizing metrics and logs.

• Knowledge of Log Analytics & Azure Application Insights for performance monitoring and tracing.

 

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