Senior Python Full Stack Engineer (6 Yrs - Python, Azure/AWS, LLM)

C T Corporation System (DE); Kalyani Nagar; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Wolters Kluwer is seeking a hands-on Lead Enterprise Cloud Software Developer to design, build, and integrate our next generation of enterprise cloud services. You will mentor engineers and collaborate with customers, architects, Cloud Operations, Security, and Compliance to drive key initiatives in GBS.

You will lead full-stack development (Python-first), leverage Azure and AWS SDKs, and apply modern IaC, CI/CD, and observability practices while ensuring secure SDLC and scalable architectures.

Qualifications

• Hands-on engineering lead with cloud experience preferred.
• Experience in enterprise cloud development and leadership.

Responsibilities

• Full-Stack Engineering (Python-first) with APIs and UIs; design and implement resilient services.
• Cloud programmability using Azure and AWS SDKs; event-driven designs; serverless functions.
• AI for developers: use GenAI for code generation, testing, and documentation; apply MLOps basics.
• Infrastructure as Code & DevOps: Terraform modules and CI/CD pipelines (Azure DevOps/GitLab).
• Performance, scalability, and reliability: optimize code, caching, async I/O, observability.
• Secure SDLC and compliance: threat modelling, secure coding, dependency hygiene, code reviews.
• Architecture & patterns: hexagonal, CQRS, pub/sub, idempotency; maintainable enterprise design.
• Data & APIs: REST/GraphQL, relational/NoSQL, pagination and rate-limiting.
• Collaboration & documentation: technical specs and diagrams; communicate risks and trade-offs.

Job description

Basic Function

Wolters Kluwer is looking for a hands-on Lead Enterprise Cloud Software Developer in our Engineering Team to design, build, and integrate our next generation of enterprise cloud services. Leading and mentoring our Engineering team and collaborating closely with our customers, Design and Domain Architects, Cloud Operations, Security, Compliance, and other key stakeholders, the candidate will be responsible for driving key projects and initiatives in GBS.

Under moderate supervision, designs, develops, tests, debugs, and implements moderately complex software tools and utilities required for the operation, maintenance, and control of computer systems. Makes moderately complex modifications to existing software to fit specialized needs and configurations and maintains program libraries and technical documentation. Assists in planning, scheduling, and implementation. Initiates corrective action to stay on schedule.

Our Engineering team primarily focuses on designing and developing enterprise cloud services that automate traditional IT Operations tasks at scale using industry standards like infrastructure orchestration tools (such as Terraform), configuration management tools (like Ansible), Cloud software development kits (SDKs). Besides, the Engineering team is engaged in initiatives of transforming the IT Operations Services suite to be scalable and API-capable.

Our Lead Enterprise Cloud Software Developer will work closely with other Engineers leveraging a standard set of enterprise-wide artifacts such as Design Patterns and Standards, follow and establish guiding design principles ensuring the develop solutions or technical components deliver GBS strategic intent, while meeting the solution requirements providing business value.

What You'll Do

• Full-Stack Engineering (Python-first): Design and implement resilient services, APIs, and UIs with Python (FastAPI/Django/Flask) and modern front-end stacks (e.g., TypeScript/React) where needed; enforce clean architecture, SOLID principles, and comprehensive unit/integration tests.
• Cloud Programmability: Build automation and platform capabilities using Azure and AWS SDKs (e.g., azure-sdk-for-python, boto3), event-driven designs, serverless functions, and service APIs to standardize and accelerate cloud operations.
• AI for Developers: use AI assistants for code and test generation, defect pattern analysis, code optimization, and documentation; Integrate LLM-powered features safely; apply prompt engineering and evaluation; follow MLOps basics for model usage in applications.
• Infrastructure as Code & DevOps: Author Terraform modules and CI/CD pipelines (Azure DevOps/GitLab) to deliver hands-free deployments, policy-as-code, and repeatable environments.
• Performance, Scalability, and Reliability: Profile and optimize code paths; apply caching, asynchronous I/O, connection pooling, efficient data models, and resource tuning; design for horizontal scale and graceful degradation; instrument services with APM/observability.
• Secure SDLC and Compliance: Practice threat modeling, secure coding, secret management, dependency hygiene, and code reviews; align with security champions and audit requirements.
• Quality Engineering: Define DoR/DoD, implement automated tests (unit, integration, performance, security), and continuously improve engineering practices.
• Architecture & Patterns: Apply industry-standard patterns (e.g., hexagonal architecture, CQRS where appropriate, pub/sub, idempotency) for reusability and maintainability; contribute to and consume enterprise design standards.
• Data & APIs: Design contract-first REST/GraphQL APIs; model relational and NoSQL data for correctness and performance; implement pagination, filtering, and rate-limiting.
• Collaboration & Documentation: Produce technical specifications, C4 model diagrams for C1-C3, and knowledge-base content; communicate status, risks, and trade-offs to stakeholders.
• Craft a culture of execution excellence coupled with innovation by incorporating best of the breed toolset
• Partner closely with Architecture and Engineering, Cloud Operations and Security teams to ensure the operationalization and adoption of engineering work.
• Mentor team members to adopt lateral thinking and "let me see how we can fix it" attitude.
• Guide fellow engineers and drive projects to completion by clarifying requirements, providing technical insights, and removing roadblocks.
• Report to stakeholders and leadership teams on the progress of key initiatives regularly
• Relentlessly document your implementation, patterns, practices, and processes.

Breakdown:

• 40% Software Development-Develop, debug, and document enterprise grade applications & services using Azure and AWS SDKs, leveraging GenAI code assistants for authoring, validating, optimizing code
• Develop, Enhance, reverse engineer, and debug new/existing Infrastructure-as-Code (IaC) capabilities leveraging tools such as Terraform, Ansible, etc.
• Explore new technologies, development pa