Connecting Odds
Wolterskluwer

Enterprise Cloud Software Engineer (Cloud Development, Azure/AWS, Ai Engineering)

Wolterskluwer
IND-Pune-SmartworksPosted Discovered via the company's careers siteMatch locked
HybridFull time3+ years exp

About the role

We are seeking a

Enterprise Cloud Software Engineer

skilled in automation engineering, artificial intelligence, and cloud operations. This role merges the

Enterprise Cloud Software Developer

and

CloudOps Engineer

positions into a single, development‑centric automation role. The focus is on

building solutions, platforms, and automation frameworks

that enable scalable, resilient, and intelligent cloud operations across AWS and Azure. The role emphasizes

coding, Infrastructure‑as‑Code, CI/CD, and intelligent automation

, while still maintaining strong operational awareness. The engineer will design, build, and evolve cloud automation solutions that replace manual IT operations with

AI augmented

,

software‑driven, repeatable, and governed workflows

, working closely with architecture, security, and operations teams.

Cloud Software Development & Automation

  • Design, develop, test, and maintain cloud automation solutions using

Python, PowerShell, Bash, and JavaScript

to automate traditional IT and CloudOps tasks.

  • Build reusable automation frameworks, libraries, and services using

cloud SDKs, APIs, and serverless technologies

(AWS Lambda, Azure Functions).

  • Engineer high‑quality, production‑ready code following

established SOLID principles, design patterns, and cloud resiliency patterns

.

  • Implement automated self‑certification, testing, and validation to ensure reliability, security, and performance before release.

Infrastructure as Code & CI/CD

  • Lead and contribute to

Infrastructure‑as‑Code (IaC)

using

Terraform, CloudFormation, ARM/Bicep, and Ansible

, aligned with enterprise standards.

  • Develop and maintain

CI/CD pipelines

for infrastructure and automation using

Azure DevOps, GitHub Actions, Jenkins, or GitLab CI

.

  • Apply version control best practices, including pull requests, code reviews, and automated quality gates.
  • Manage IaC state, modularization, and lifecycle across multi‑cloud and hybrid environments.

Cloud Platforms & Operations Enablement

  • Design and automate solutions across

AWS and Microsoft Azure

, supporting IaaS, PaaS, containerized, and serverless workloads.

  • Enable operational capabilities such as

provisioning, scaling, patching, backup, disaster recovery, and decommissioning

through code.

  • Build automation that enforces

cloud governance

, including tagging standards, security baselines, cost optimization, and policy‑as‑code guardrails.

  • Collaborate with Cloud Operations teams to ensure solutions are observable, supportable, and production‑ready.

Containers, Platforms & Modern Tooling

  • Develop and support automation for

container platforms

such as

Docker, Kubernetes, AKS, and EKS

.

  • Support enterprise cloud operating models, including

shared services and multi‑tenant platforms

.

Intelligent & AI‑Enabled Automation

  • Integrate

AI‑driven automation

into CloudOps workflows for alert enrichment, operational insights, and basic remediation.

  • Develop Python‑based automation that leverages

API‑driven AI services

and intelligent runbooks.

  • Apply awareness of

AI governance, accuracy, and operational risk

when building automation solutions.

Agile Delivery & Collaboration

  • Work within

Agile/Scrum

teams, contributing to sprint planning, estimation, reviews, and retrospectives.

  • Partner closely with Architecture, Security, Platform, and Operations teams to drive adoption and operationalization of automation.
  • Drive initiatives to completion by clarifying requirements, providing technical leadership, and removing delivery blockers.
  • Produce clear documentation, runbooks, patterns, and standards to enable reuse and operational maturity.

Education

  • Bachelor's degree in

Computer Science, Information Systems, or a related field

.

Experience

•

3–5 years

of experience in

cloud software development, automation engineering, DevOps, or infrastructure engineering

.

  • Strong hands‑on experience developing code and automation using

Python, PowerShell, Bash, or JavaScript

.

  • Proven experience with

IaC

, CI/CD pipelines, and version control-driven delivery.

  • Experience supporting and automating

AWS and Azure

environments.

Preferred Certifications

  • Advanced AWS and/or Azure Cloud Certifications
  • Terraform Associate or equivalent IaC certification
  • AI / ML or Intelligent Automation certifications (preferred but not required)

Other Skills & Mindset

  • Strong

software‑engineering mindset

applied to infrastructure and operations.

  • Analytical, automation‑first, and problem‑solving oriented.
  • Customer‑focused with an emphasis on reliability, security, and operational excellence.
  • Comfortable with

failing fast, learning, and iterating

in an Agile environment. Excellent written and verbal communication and cross‑functional collaboration skills. Our Interview Practices: To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you - not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process •

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you - not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Not included in the source posting: benefits.

Skills

artificial-intelligenceazureawsagileci-cdpythonbashdevopsjavascriptserverlessterraformansible

Who can apply

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