Senior Enterprise Cloud Software Engineer (Cloud Operations, AI Engineering, Azure & AWS)

We are seeking aSenior Enterprise Cloud Software Engineer skilled in automation engineering, artificial intelligence, and cloud operations.  This role represents astrategic evolution of two traditionally separate disciplines—Enterprise Cloud Software Development andCloud Operations Engineering—into asingle, high‑impact engineering role that designs, builds, andoperates intelligent, automation‑first cloud platforms at enterprise scale.

The Senior Enterprise Cloud Platform Engineer roleredefines operations as software, embedding reliability, governance, security, and resilience directly into cloud services throughcode, automation, and AI‑assisted intelligence.

You will help drive the future of cloud operations by creating programmable platforms, self‑healing systems, and AI‑augmented operational workflows across AWS and Azure, replacing manual toil with scalable, policy‑driven execution.

Mission of the Role

• Transform Cloud Operations fromreactive support intoproactive, software‑defined platforms
• Fusesoftware engineering rigor withoperational ownership
• Leverageautomation, Infrastructure‑as‑Code, and AI to eliminate manual work at scale
• Design systems that aresecure, observable, resilient, and self‑optimizing by default
• Act as atechnical bridge between Engineering, Cloud Operations, Security, and Architecture

Technical Skills & Competencies

Enterprise Cloud Software Engineering

• Design and buildenterprise‑grade cloud services, APIs, and automation platforms using a Python‑first stack (FastAPI/Django/Flask), with UI components where needed.
• Developcloud‑native tooling and services using Azure and AWS SDKs to standardize provisioning, lifecycle management, and operational workflows.
• Apply modern software engineering practices: clean architecture, SOLID principles, automated testing, and CI/CD‑driven delivery.
• Design contract‑first APIs (REST/GraphQL) and event‑driven services to enable platform extensibility and integration.

Cloud Operations Engineering (Software‑Defined)

• Own thefull lifecycle of cloud platforms: design, build, operate, optimize, and decommission.
• Engineerautomation‑first infrastructure operations, eliminating manual provisioning, patching, scaling, and recovery.
• ImplementInfrastructure‑as‑Code frameworks using Terraform (modules, state management, drift detection) and supporting tools (Ansible, ARM/Bicep, CloudFormation).
• Build and operatehigh‑availability, fault‑tolerant, and disaster‑resilient architectures across hybrid and multi‑cloud environments.
• Lead L3/L4 troubleshooting, root‑cause analysis, and reliability improvements for complex cloud incidents.

AI‑Driven & Intelligent Operations

• ApplyAI‑assisted CloudOps practices including anomaly detection, predictive insights, event correlation, and automated remediation.
• Design and operateintelligent runbooks and AI agents that execute operational decisions safely and audibly.
• Integrate approved GenAI and ML services into operational workflows while adhering to governance and responsible AI standards.
• Use AI tools to accelerate development, testing, documentation, and operational analysis.

DevOps, CI/CD & Governance

• Design and maintain CI/CD pipelines for infrastructure and platform automation using Azure DevOps, GitHub Actions, or GitLab.
• Implementpolicy‑as‑code, security guardrails, tagging standards, and cost‑optimization controls.
• Embed observability, APM, logging, and SLO/SLA practices into platforms from day one.
• Ensure platforms are built to beoperable by design, not retrofitted for operations.

Leadership & Engineering Influence

• Serve as atechnical leader and mentor, elevating engineering and CloudOps maturity.
• Collaborate closely with Architecture, Security, Compliance, and Product teams.
• Establish standards, patterns, documentation, and reusable frameworks used across the enterprise.
• Drive continuous improvement, reliability engineering, and operational excellence.

Required Qualifications

Education:

• Required: Bachelor's degree in Computer Science, or a related field

Experience

• More than 5 years of Cloud Operations, DevOps, or Infrastructure Engineering
• Hands-on experience in AI-based automation is highly desirable.
• Proven experience operating large-scale AWS and Azure environments

Certifications:

• Advanced certification in AWS and Azure will be preferred.
• Terraform Associate
• AI or ML Certification

Core Technical Expertise

• Deep hands‑on experience inAWS and Azure at enterprise scale
• Strong proficiency inPython and scripting for automation and platform development
• Advanced Terraform expertise with modular, reusable, enterprise‑grade designs
• Experience with containers and orchestration (Docker, Kubernetes, AKS, EKS)
• Strong understanding of networking, identity, security, and cloud governance
• Experience with CI/CD, release management, and platform operationalization

AI & Advanced Automation

• Practical experience applying AI to operational workflows
• Understanding of AI fundamentals, safe usage, and lifecycle governance
• Ability to design AI‑assisted automation without compromising reliability or compliance

Engineering Mindset

• Strong architectural thinking and systems design skills
• Passion for eliminating toil through code
• Ability to operate independently while influencing across teams
• Excellent communication and documentation 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.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.