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Synapse Analytics
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.
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.
