Job Description

Job description:

--------------------

Role Overview

The

Infrastructure Competency Lead

is responsible for developing, standardizing, and scaling infrastructure management capabilities across

Cloud, Hybrid, and Edge environments

.

This role focuses on

technical excellence, reusable IP creation, delivery enablement, and talent readiness

, ensuring the organization is future-ready in

CloudOps, SRE, Automation, Observability, and AI-led Operations (AIOps)

.



The individual will work closely with delivery, pre-sales, and L&D teams to define competency frameworks, build accelerators, and drive innovation across Infrastructure Services offerings.

Key Responsibilities

Competency Development & Capability Building

Define the

competency strategy and roadmap

for Cloud Infrastructure and Operations aligned to business priorities. Establish

skill taxonomies and capability matrices

for roles across InfraOps, CloudOps, and SRE tracks. Build and lead

Centers of Excellence (CoEs)

for: Cloud Infrastructure (AWS, Azure, GCP) Infrastructure as Code (IaC) and Automation Platform Engineering & SRE Monitoring, Observability & AIOps ITSM, ITOM & Service Reliability frameworks Partner with L&D and OEMs to create

learning and certification roadmaps

(AWS, Azure, Red Hat, Terraform, Kubernetes, etc.).

Solution Excellence & Standardization

Create

reference architectures, IaC templates, and reusable modules

for infrastructure deployments and operations. Standardize

runbooks, automation scripts, monitoring frameworks, and operational blueprints

across environments. Define and maintain

infrastructure delivery frameworks

(e.g., CloudOps Framework, SRE Maturity Model, Automation Playbook). Drive adoption of

Infrastructure-as-Code, Configuration-as-Policy, and GitOps

practices across teams. Support solution architects in designing scalable, resilient, and cost-optimized infrastructure solutions.

Innovation, AI & Automation

Lead initiatives in

AI-driven Operations (AIOps)

-- predictive analytics, anomaly detection, and autonomous remediation. Develop

automation accelerators

using Python, Terraform, Ansible, or ServiceNow for provisioning, patching, and incident response. Evaluate and introduce

next-gen infrastructure technologies

-- Edge computing, Serverless Ops, FinOps, and Green IT. Build internal

platform engineering toolchains

integrating CI/CD, security, observability, and compliance as code.

Collaboration & Enablement

Partner with

delivery teams

to uplift capabilities and ensure consistent delivery quality across infrastructure engagements. Support

sales and pre-sales

in technical reviews, solution validation, and value engineering of infrastructure proposals. Collaborate with

alliances and OEMs

(Microsoft, AWS, Red Hat, HashiCorp, ServiceNow) for enablement, co-innovation, and go-to-market readiness. Drive

cross-practice collaboration

with Security, Cloud, and DevOps competency leads for end-to-end integrated solutions.

Governance, Metrics & Continuous Improvement

Define

competency KPIs and dashboards

- certifications achieved, automation coverage, reusable asset adoption, and operational maturity. Continuously measure and enhance

delivery readiness, quality metrics, and standardization compliance

across teams. Gather feedback from projects to refine frameworks and accelerate delivery efficiency. Foster a

continuous improvement and learning culture

across the infrastructure organization.

Core Competencies & Skills

Technical Expertise

Deep understanding of

Cloud & Hybrid Infrastructure architectures

(compute, network, storage, backup, DR, etc.). Strong expertise in

Infrastructure-as-Code (Terraform, ARM, CloudFormation)

and

Automation (Ansible, PowerShell, Python)

. Proficiency in

Kubernetes, Container Orchestration, and Platform Engineering

principles. Knowledge of

Monitoring and Observability stacks

-- Prometheus, Grafana, Dynatrace, Datadog, Splunk, etc. Experience with

AIOps

, event correlation, and automation platforms (ServiceNow, Moogsoft, BMC, BigPanda). Solid understanding of

ITSM, ITOM, and SRE principles

(SLIs, SLOs, Error Budgets).

Leadership & Soft Skills

Strong mentoring ability to develop deep technical skills and engineering culture across teams. Strategic thinking with a hands-on mindset to drive technical depth and standardization.

Experience level: 10-18yrs

If you're interested in this opportunity, we'd be happy to receive your updated CV. Simply click the email link below, or copy and paste the email address:

careers@innominds.com