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Product Software Engineer
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Product Software Engineer
Experience Range: 3 to 5.5 Years
Technical Skills:
. Backend Development: .NET Core, C#, WCF, RESTful APIs
. Frontend Development: Angular, WPF, HTML, CSS
. Database: SQL Server - writing optimized queries, stored procedures, and performance tuning
. Cloud Technologies: Azure - including App Services, Azure Functions, Key Vault, and DevOps pipelines, containerization
. DevOps & CI/CD: Experience with automated build and deployment pipelines
. Gen AI and Agentic AI - beginner level understanding
. Testing: Unit testing, integration testing, and test-driven development (TDD)
Soft Skills:
. Strong communication
. Development of critical features for the CCH Axcess Client Collaboration powered by Expert AI solutions product, ensuring timely and high-quality delivery.
. Collaborate with cross-functional teams
. Ability to mentor junior developers
. Problem-solving mindset with a focus on delivering high-quality solutions
. Experience working in Agile/Scrum environments
. Working under moderate supervision
. Developing, testing, debugging, and implementing moderately complex operating system components, software tools, and utilities under guidance of seniors.
. Making moderately complex modifications to existing software to meet specialized needs and configurations
. Maintaining program libraries and technical documentation
Wolters Kluwer (AEX: WKL) is a leading global provider of information, software, and services for professionals. We serve customers in more than 180 countries, operating through four divisions: Health Tax & Accounting Governance, Risk & Compliance and Legal & Regulatory. The Company is committed to helping professionals improve the way they do business and solve complex problems with confidence in an ever-changing world.
Job ID: 145737875
Skills:
.Net Core, .NET Framework, Webapi, SQL Server, Debugging Tools, Git, incident management systems, cloud platforms, monitoring systems, AI tools, DevOps concepts, Agile environments, log analysis tools
Skills:
data engineering , snowflake , Prometheus, Kafka, Elk Stack, Grafana, Angular, React, Docker, Teamcity, Flask, Python, AWS, Sql, Django, Jenkins, Vue.JS, Gcp, Spark, Databricks, Azure, Kubernetes, AI ML models, LLMs, Airbyte, generative AI, big-data technologies, NoSQL databases, agent frameworks, GitLab CI, CI CD tools
