DevOps Engineer (Mid–Senior Level)

The DevOps Engineer in Digital Solutions is responsible for designing, building, and maintaining scalable cloud solutions, with a strong focus on automation, reliability, and performance. This role contributes to the end-to-end software development and deployment lifecycle, helping deliver high-quality solutions efficiently.

This individual will partner closely with cross-functional teams including Product, Digital Sales, Customer Success, MLOps, and Data Engineering to support solution design and implementation aligned to business needs.

Key Responsibilities

• Design, build, and maintain cloud-based solutions using Microsoft Azure
• Develop, test, and deploy new features, enhancements, and infrastructure components
• Contribute to Agile teams by helping define requirements, estimate work, and deliver solutions
• Build and maintain CI/CD pipelines to support automated deployments (GitHub, JFrog)
• Implement and support Infrastructure as Code (IaC) practices with exposure to Terraform
• Monitor application and system performance using tools like DataDog and other monitoring platforms
• Troubleshoot production issues and optimize system reliability and performance
• Participate in code reviews and contribute to engineering best practices
• Collaborate with cross-functional teams to ensure smooth delivery and deployment of applications
• Track and support engineering performance improvements using DORA metrics
• Utilize tools like Jira for work tracking and Agile delivery
• Stay current on emerging DevOps tools, technologies, and best practices

Required Skills & Experience

• Experience building and supporting applications in Microsoft Azure cloud environments
• Hands-on experience with:
• CI/CD pipelines (GitHub Actions, JFrog, or comparable tools)
• DevSecOps practices and secure deployment processes
• Application and infrastructure monitoring (DataDog or similar tools)
• Exposure to Infrastructure as Code (IaC) concepts and tools (Terraform preferred)
• Strong understanding of software development lifecycle and DevOps principles
• Experience working in Agile environments and using tools like Jira
• Familiarity with system performance optimization and observability best practices
• Strong problem-solving skills and ability to troubleshoot complex systems
• Effective communication and collaboration skills in cross-functional environments

Nice to Have

• Experience working with data pipelines, ETL processes, or data engineering teams
• Exposure to cloud cost optimization strategies
• Familiarity with database performance tuning and query optimization

Experience & Education

• Typically requires 5–8 years of relevant experience
• Bachelor’s degree in Computer Science or related field (or equivalent experience)