Senior Enterprise Software Engineer (Mandatory Skills - Python, Azure/AWS, Gen Ai)
Wolters Kluwer17 hours ago
Pune, IndiaStaff+
Responsibilities
- Design, develop, test, debug, document, and operate enterprise-grade cloud applications, services, APIs, and UIs.
- Build cloud automation and platform capabilities using Azure and AWS SDKs, serverless functions, event-driven designs, and service APIs.
- Develop and maintain Terraform and Ansible infrastructure-as-code capabilities and automated deployment pipelines.
- Apply AI-assisted development, LLM-powered features, prompt engineering, evaluation practices, and responsible AI standards.
- Improve performance, scalability, resiliency, observability, caching, asynchronous processing, connection pooling, and resource utilization.
- Implement secure SDLC practices including threat modeling, secure coding, secret management, dependency hygiene, code reviews, and compliance alignment.
- Define and implement automated unit, integration, performance, and security testing practices.
- Design REST and GraphQL APIs and model relational and NoSQL data for performance and correctness.
- Contribute to software architecture, design patterns, technical standards, C4 diagrams, and operational documentation.
- Mentor engineers, lead complex technical problem solving, remove project roadblocks, and drive initiatives to completion.
- Coordinate troubleshooting, peer reviews, production support, emergency fixes, release management, and service operationalization.
- Report initiative progress, risks, and trade-offs to stakeholders and leadership teams.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.
- Advanced or professional technical certificate in Azure, AWS, or Kubernetes.
- At least 6 years of enterprise software development and cloud development experience.
- Experience with Python and cloud SDKs or APIs; Java, Node.js, or Ruby are also accepted programming languages.
- Experience with FastAPI or Django, React, TypeScript, and GraphQL.
- Knowledge of event-driven architectures, SNS/SQS, Azure Service Bus, Kafka, Kinesis, and pub/sub patterns.
- Familiarity with APM tools, SLO/SLA design, capacity testing, and performance testing at scale.
- Exposure to AI/ML services such as Azure OpenAI and safe LLM integration patterns.
- Experience contributing to shared Terraform modules and internal design standards.
- Experience with automated deployments using Azure DevOps, GitLab, GitHub, Jenkins, or comparable tools.
- Experience with release management, product rollouts, service operationalization, design patterns, cloud resiliency patterns, and software development life cycles such as Scrum or SAFe.
- Experience evaluating and optimizing AI tools, validating AI-generated code, leading responsible AI initiatives, and designing agentic workflows.
- Advanced technical acumen, advisory experience with management, strong communication and presentation skills, problem-solving ability, organization, and attention to detail.
Benefits
- Hybrid work arrangement with in-person attendance alongside Wolters Kluwer colleagues at least 8 days per month.
- Occasional domestic and international travel is required.
- Candidates may be required to appear onsite at a Wolters Kluwer office during the recruitment process.
Tech Stack
AnsibleApache KafkaAWSAzureDjangoFastAPIFlaskGraphQLJavaJenkinsKubernetesNode.jsPythonReactRubyTerraformTypeScript
Categories
About Wolters Kluwer
Wolters Kluwer builds subscription software, data, and workflow solutions for professionals in healthcare, tax and accounting, legal and regulatory, finance and compliance, and ESG. Its portfolio spans SaaS applications and expert content that support compliance, decision-making, and operational processes. Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, it is publicly traded on Euronext Amsterdam (WKL) and reported 2025 annual revenue of €6.1 billion.