Senior Full Stack Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Stay up-to-date with emerging technologies, frameworks, and industry trends related to payment systems and cloud computing Design and implement microservices-based architecture using domain-driven design principles
• Implement robust monitoring, logging, and alerting mechanisms to ensure system performance and availability
• Develop highly resilient and highly available components for the payment system
• Review of requirements and/or systems analysis documents for completeness
• Creation or involvement in documented designs following agreed to design patterns and standards
• Perform Coding and unit testing independently and assist or mentor his team members whenever required
• Support the QE team during testing via defect fixes, code deployment, clarifications
• Fully encourage and facilitate high quality code through of support QE team efforts including but not limited to mentoring, assistance, and writing or executing automation tests as needed
• Working with the Deployment Lead, peer developers to complete various project deployment activities
• Ensuring delivery of technical artifacts for each project
• Mentoring developers on technology and application knowledge as needed
• Identify opportunities to fine-tune and optimize applications
• Communicate effectively with other engineers or QE ,offshore and onshore team

• Collaborates closely with stakeholders, product owners, and feature team on developing requirements

• 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

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 7+ years of overall software engineering experience
• 6+ years of experience with Agile/lean development practices
• 5+ years of experience programming in Java and experience with modern frameworks and libraries
• 5+ years of experience working with Microservices and Event-driven architecture like Kafka
• 5+ years of experience with PostgreSql, MS SQL Server, or Oracle database
• 5+ Years of experience in Web services- Restful
• 3+ years of experience with DevOps principles, CI/CD pipelines, and automation tools
• 3+ years of experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, including experience with serverless architectures, containers, and orchestration

Preferred Qualifications:

• Experience in healthcare payment domain
• Experience with Domain Driven Design
• Experience with Event Driven Architecture
• Experience with application containerization, deployment, and orchestration across environments
• Experience with CI/CD and test automation
• Experience building cloud-native applications in Azure or similar cloud service provider
• Basic understanding and ability to troubleshoot applications running within Kubernetes
• Basic understanding of cloud infrastructure and automated provisioning & configuration management
• Experience leveraging AI tools in the software development lifecycle in order to improve quality and efficiency
• Proven excellent verbal and written communication skills