Job Description

As a DevOps Engineer II at Synapse Analytics, you will be a key individual contributor responsible for guiding the development and maintenance of robust, scalable, and high-value hybrid infrastructure for our core products. You'll move beyond assisting with infrastructure tasks to taking ownership of more complex deployment components across both cloud and on-premises environments, contributing significantly to our infrastructure roadmap and strategy. You will also begin to mentor junior team members.

Responsibilities

• Design, implement, and manage infrastructure as code for significant product features across cloud and on-premises systems.

• Ensure the reliability and feasibility of infrastructure designs by collaborating closely with design and engineering teams.

• Optimize CI/CD pipelines for maximum value, speed, and alignment with strategic goals for hybrid deployments.

• Collaborate closely with stakeholders, designers, and the development team to define infrastructure requirements and deliver integrated software solutions.

• Clearly and regularly communicate infrastructure decisions, progress, and challenges with management and cross-functional teams.

• Lead infrastructure review sessions for peers and junior DevOps engineers, providing in-depth constructive feedback and ensuring adherence to high-quality standards.

• Research and stay up-to-date with the latest market trends and technologies, actively proposing and evaluating new opportunities for the company's hybrid infrastructure.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent work experience.

• Minimum 2 years of experience in a DevOps, Site Reliability, or similar infrastructure-focused role.

• Excellent knowledge and experience with containerization (Docker) and orchestration, particularly with Kubernetes, RKE2, and OpenShift.

• Excellent knowledge and experience building and managing production infrastructure in cloud (AWS, GCP, or Azure) and on-premises environments.

• Extensive experience with scripting languages (e.g., Python, Bash) and Infrastructure as Code tools (e.g., Terraform, Ansible).

• Strong understanding of networking fundamentals (IP, TCP, UDP, etc.) and security concepts.

• Solid understanding of the technical architecture of the products you support and how the Linux operating system works.

• Excellent troubleshooting skills for resolving deployment ambiguities and infrastructure conflicts.

• Excellent knowledge and extensive experience in Agile methodologies (Scrum, Kanban).

• Excellent understanding of the complete software development lifecycle, from discovery and design to development and deployment.

• Experience with machine learning or AI-powered products is a strong plus.