Senior Enterprise Software Engineer

Senior Enterprise Software Engineer

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Develop and maintain scalable and reliable enterprise software systems.
• Implement best practices in coding with support of AI
• Support architecture for complex applications ensuring they meet business requirements.
• Ensure systems are designed to deliver resilience requirements
• Perform the deployment, monitoring, and maintenance of platforms.
• Ensure platform reliability, scalability, and performance.
• Manage cloud infrastructure and services (e.g., AWS, Azure, Google Cloud).
• Collaborate with cross-functional teams (developers, operations, QA, etc.).
• Communicate technical concepts to non-technical stakeholders.
• Implement and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines.
• Develop scripts and tools to improve operational efficiency.
• Ensure software and platforms comply with security standards and regulations.
• Implement security best practices and conduct regular security assessments.
• Adhere to access controls and protect sensitive data.
• Document processes, procedures, and infrastructure setups.
• Stay up to date with emerging technologies and industry trends.
• Continuously improve systems, processes, and methodologies.
• Participate in project planning and execution.
• Ensure projects are completed on time and within budget.
• Understand customer requirements and translate them into technical solutions.
• Engage with stakeholders to gather feedback and refine requirements.
• Ensure customer satisfaction through reliable and high-quality deliverables.
• Explore and integrate generative AI technologies to enhance software capabilities.
• Develop and deploy AI models for automated content generation and predictive analytics.

OTHER DUTIES

• Performs other duties as assigned by management

Experience & SKILLS REQUIRED

Experience:

• Bachelor’s degree in computer science, Information Systems, or a related field
• Minimum 1-3 year of experience with AI and Generative AI technologies
• Minimum of 3 years of hands-on experience in application / platform engineering or software engineering role.
• Proficiency in scripting languages (e.g., Bash, Python) for automation tasks and infrastructure management.
• In-depth knowledge of programming frameworks (e.g., .NET, JAVA) and application development.
• Extensive experience with Terraform for infrastructure as code (IaC) management, including writing and maintaining modules.
• Proficiency with CI/CD tools and practices (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions), including creating and managing pipelines.
• Comprehensive experience with cloud platforms (e.g., AWS, Azure, GCP), including designing and implementing cloud services and architectures.
• Strong analytical and problem-solving skills, with the ability to work effectively in a fast-paced, evolving environment, ensuring platform reliability and scalability.

Thought Leadership and Soft skills:

• Excellent communication and collaboration skills, with a willingness to learn and contribute to team success.

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.

Experience Level

Senior Level