Senior Enterprise Cloud Software Engineer (Cloud Operations, AI Engineering, Azure & AWS)
Wolterskluwer
IND - Chennai, Neville TowersPosted 3 days agoDiscoveredMatch locked
Full time5+ years exp
About the role
We are seeking a
Senior Enterprise Cloud Software Engineer
skilled in automation engineering, artificial intelligence, and cloud operations. This role represents a
strategic evolution of two traditionally separate disciplines
-
Enterprise Cloud Software Development
and
Cloud Operations Engineering
- into a
single, high‑impact engineering role
that designs, builds, and operates intelligent, automation‑first cloud platforms at enterprise scale.
The Senior Enterprise Cloud Platform Engineer role
redefines operations as software
, embedding reliability, governance, security, and resilience directly into cloud services through
code, 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 from
reactive support
into
proactive, software‑defined platforms
- Fuse
software engineering rigor
with
operational ownership
- Leverage
automation, Infrastructure‑as‑Code, and AI
to eliminate manual work at scale
- Design systems that are
secure, observable, resilient, and self‑optimizing by default
- Act as a
technical bridge
between Engineering, Cloud Operations, Security, and Architecture
Enterprise Cloud Software Engineering
- Design and build
enterprise‑grade cloud services, APIs, and automation platforms
using a Python‑first stack (FastAPI/Django/Flask), with UI components where needed.
- Develop
cloud‑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 the
full lifecycle
of cloud platforms: design, build, operate, optimize, and decommission.
- Engineer
automation‑first infrastructure operations
, eliminating manual provisioning, patching, scaling, and recovery.
- Implement
Infrastructure‑as‑Code
frameworks using Terraform (modules, state management, drift detection) and supporting tools (Ansible, ARM/Bicep, CloudFormation).
- Build and operate
high‑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
- Apply
AI‑assisted CloudOps
practices including anomaly detection, predictive insights, event correlation, and automated remediation.
- Design and operate
intelligent 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.
- Implement
policy‑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 be
operable by design
, not retrofitted for operations.
Leadership & Engineering Influence
- Serve as a
technical 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.
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 in
AWS and Azure
at enterprise scale
- Strong proficiency in
Python
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.
Not included in the source posting: about the role, benefits.
Skills
artificial-intelligenceazureawsci-cddevopsterraformmachine-learningpythonansibledjangofastapiflask
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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