Software Engineer-Java, Springboot

Primary Responsibilities:

• Develop and maintain cloud-hosted applications leveraging latest tech stacks
• Utilize AI tools such as GitHub Copilot to enhance productivity and efficiency
• Actively develop threat prevention mechanisms and drive security best practices
• Continuously work to remediate critical vulnerabilities
• Hold self and team accountable for producing high-quality code
• Develop code meaningfully for shared components across products and capabilities
• Continuously learn and look for opportunities to innovate
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications – External

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• Hands-on experience in application development
• Proven experience with the latest tech stacks
• Hands-on experience with AI tools such as GitHub Copilot, ChatGPT, etc.
• Experience with RDBMS technologies such as Postgres/Oracle/SQL server
• Deep experience with Java, Spring/Spring Boot, Maven
• Experience with Source Code Control systems like Git and CI/CD systems
• Experience with Docker, Kubernetes and Cloud platforms like AZURE
• Solid knowledge and application of security best practices in a cloud environment
• Proven excellent communication skills, both verbal and written

Preferred Qualifications:

Certifications related to cloud technologies (AWS Certified Solutions Architect, Google Certified Professional Cloud Architect, etc.)

• Experience using productivity tools and AI tools as part of their core job function
• Experience with AI/ML Data Science Model Development
• Previous experience in a fast-paced, innovative environment, with tangible examples of continuous learning and innovation
• Experience developing code for shared components across various products and capabilities
• Demonstrated ability to remediate critical vulnerabilities effectively and efficiently
  Solid team player with a mindset for re-use and meaningful contribution to shared components