Senior Software Engineer I - Azure DevOps

• Serve as a Senior Cloud Engineer / Technical Lead on an Agile Scrum team, delivering secure, scalable, and compliant cloud native solutions for PPS applications
• Partner closely with Product Management and business stakeholders to support backlog refinement, sprint planning, and translation of regulatory and business requirements into technical designs
• Lead development and deployment of containerized applications on Azure Kubernetes Service (AKS), including configuration, scaling, monitoring, and troubleshooting
• Design and manage database schemas and data access layers (Azure SQL and related services), with a focus on data integrity, performance, and regulatory accuracy
• Contribute to and improve CI/CD pipelines using GitHub and GitHub Actions, enabling automated testing and reliable cloud deployments
• Apply strong focus on cloud security, compliance, monitoring, cost optimization, and operational readiness, critical for PPS regulatory systems
• Mentor and guide junior and mid level engineers, providing code reviews, design guidance, and best practice coaching
• Independently solve complex technical and production issues, making sound architectural decisions and proactively mitigating risks
• 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, Engineering, or a related field
• Solid hands-on experience designing, developing, and maintaining cloud native applications on Microsoft Azure
• Solid hands-on experience with Azure Kubernetes Service (AKS), including containerized application deployment, scaling, upgrades, monitoring, and troubleshooting
• Solid experience with containerization using Docker and Kubernetes based orchestration
• Experience building and operating CI/CD pipelines using GitHub and GitHub Actions, including deployments to AKS
• Experience with Infrastructure as Code (IaC) using ARM templates, Bicep, or Terraform, especially for Azure and AKS environments
• Expertise with Java, Azure PaaS services, RESTful APIs, and SQL
• Proficiency in leveraging AI and automation capabilities, including Azure OpenAI Services, AI Builder, Python, and related tools to enhance development productivity, analytics, and solution intelligence
• Solid understanding of Azure security, networking, monitoring, performance optimization, and cost management, including AKS best practices
• Demonstrated solid analytical, problem solving, and decision making skills
• Demonstrated growth mindset, with willingness to adopt emerging Azure and AI technologies to improve engineering efficiency and product quality
• Demonstrated ability to mentor junior engineers and contribute to technical design and architecture decisions
  • Demonstrated ability to perform and guide functional, regression, and system integration testing