Cloud DevOps Engineer

Good-day,

Senior Cloud DevOps Engineer.

Job Role:

Job Location:

Experience-

Notice Period : Upto 30 days.

We are seeking highly skilled and experienced Cloud DevOps Engineers to join our team. As a Cloud DevOps Engineer, you will be responsible for designing, deploying, and implementing cloud architecture solutions using Microsoft Azure. You will collaborate with internal teams to fulfil their requirements, ensure successful project delivery and to help maintain highly available applications.

Cloud Practice – Specialist Platform Engineer

Location:

Practice:

Level:

Employment Type:

Role Purpose

greater ownership of the internal engineering backlog

Key Outcomes

(What success looks like – first 12 months)

1. Backlog Ownership:

   A transparent engineering backlog for shared platform work (multi-practice), with clear SLAs/SLOs and a steady burndown velocity.

2. Production Reliability:

   Stable and secure operations of AI Chat Bot, Internal AI enhanced productivity and Ops experience platforms, and future AI services with robust runbooks, on call readiness, change discipline, and incident postmortems.

3. Engineering Maturity:

   Measurable adoption of

   Terraform/Tofu, CloudFormation, Ansible

   ,

   Git based CI/CD

   , and

   observability

   across non-prod and prod environments. (Adoption = services onboarded + policy conformance.)

4. Reusable Assets:

   A curated internal library of

   platform patterns, IaC modules, and CI/CD blueprints

   that reduce time-to-ready for new work by 30–50%.

5. Talent Pipeline:

   Training graduates complete a three to six month rotation, during which their skills and client readiness are documented and approved, while Level 1 interviews are conducted regularly using clear rubrics.

6. Stakeholder Confidence:

   Consistent partner feedback on clarity of roadmaps, documentation quality, and timely platform support.

What You’ll Do

Platform Operations & Support

• Run day-to-day platform operations for

  AI Chat Bot, AI Enhanced Ops platforms, and future AI services

  (availability, performance, cost, security, change/incident, and DR drills).
• Establish production grade monitoring, alerting, tracing, dashboards, SLOs, and error budgets, drive observability by default.
• Maintain configuration, patching, upgrades, backup/restore, and environment hygiene across cloud and Kubernetes layers with strong documentation and runbooks.

Engineering Enablement (IaC, CI/CD, Kubernetes)

• Lead the

  standardization and adoption

  of Infrastructure as Code (

  Terraform/Tofu, CloudFormation, Ansible

  ), Git workflows, and policy-as-code.
• Build/maintain

  reusable Terraform modules

  and reference pipelines that are versioned, documented, and

  tested

  .
• Design and evolve

  CI/CD

  for both

  platform

  and

  application

  teams (automated testing, security gates, and release orchestration).
• Operate and optimize

  Kubernetes

  (cluster lifecycle, addons, namespaces, network/security policies, scaling, upgrades, multi env promotions), guide teams on container and Helm best practices.

Architecture & Landing Zones

• Contribute to

  secure, compliant landing zones

  and environment blueprints for AWS (and Azure as secondary) with network, identity, secrets, and controls baked in.
• Collaborate on

  scalable, secure AWS solution designs

  and performance/cost optimizations for platform services.

Reusable Patterns, Docs, and Thought Leadership

• Author and maintain

  pattern catalogues, accelerators, runbooks, and best practices

  for platform engineering and developer enablement.
• Build small

  libraries/utilities

  that solve recurring problems for Cloud Architects and application squads.

Talent & Community

• Mentor “Training graduates”

  on rotation (3–6 months) via a structured and pre-defined learning plan (IaC, CI/CD, K8s ops, observability, SRE fundamentals).

• Conduct L1 interviews

  , shortlist candidates, and provide structured feedback to hiring panels.

Must have

• Cloud:

  Primary

  AWS

  , secondary

  Azure

  ; hands-on with core services (e.g., EC2/EKS/ECS/Lambda/S3/RDS), landing zones, and security controls.

• Programming:

  Python

  (development, not just scripting);

  TypeScript

  to an average level for tooling and portals; familiarity with REST and CLI tooling.

• IaC & Config Mgmt:

  Terraform

  ,

  OpenTofu

  ,

  CloudFormation

  ,

  Ansible

  ; authoring reusable modules with tests and documentation.

• DevOps Tooling:

  Git

  ,

  CI/CD

  pipeline development (e.g., Jenkins/GitLab/CodeDeploy) and config/secrets management.

• Kubernetes:

  Cluster operations and app lifecycle management (Helm, ingress, service mesh desirable), with production incident handling.

• Observability:

  Tracing, metrics, logs, dashboards, alerting, capacity/cost visibility, and SLO/SLI design.

• Identity & Access:

  User management on cloud platforms,

  IAM/RBAC

  , access role management, directory integration, and governance guardrails.

Nice to Have

• Experience building

  developer facing CI/CD blueprints

  and

  GitOps

  workflows.
• Exposure to

  multi-cloud

  and

  migration of complex, multi-tier apps

  .

• Certifications:

  AWS (SA Associate/Professional, DevOps, SysOps) and

  Kubernetes certification

  .

Professional Experience

• 7–10 years

  total experience in cloud/platform engineering or DevOps for production workloads, including hands-on Kubernetes and IaC at scale.
• Demonstrated ability to

  document architectures, runbooks

  , and

  present complex technical concepts

  to mixed audiences.
• Strong collaboration with security, networking, and application teams; “automate everything” mindset.