Sr. DevOps Engineer

Windfall is developing its infrastructure engineering function and looking for a Sr. DevOps Engineer to lead the way. You will apply your understanding of modern best practices to create a stable and secure system. Working closely with our engineering, data science, and product teams, you’ll develop and implement a roadmap that prepares Windfall Data for its next stage of growth. As the first lead in this role, you will have the opportunity to set and execute your vision for managing reproducibility, CI/CD, monitoring, and incident response.Windfall’s systems offer a mix of data-heavy ETL workloads and SaaS applications, giving you a wide range of infrastructure challenges to manage. Our product offers data volume and variety on par with much larger, legacy people data companies and will push you to innovate continually. Our machine learning workloads require a dynamic, modern infrastructure with deep monitoring and excellent observability.We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.Responsibilities:Lead Windfall’s approach to infrastructure managementHands-on design and development of our approach to infrastructure-as-code and change managementWork with key stakeholders to develop strategies for deployment, monitoring, and incident responseUnderstand cloud provider managed offerings and utilize them whenever possibleBalance trade-offs between quality, complexity, and speed of deliveryRequirements:Bachelor’s Degree4+ years of infrastructure development, SRE, and/or DevOps experience2+ years of experience working with Kubernetes1+ years of infrastructure-as-code experience in a cloud environmentStrong communication and collaboration skillsUnderstanding quick development cycles and tradeoffs between solutionsComfortable taking ownership and driving projects to completionPreferred Qualifications:Production experience with Google Cloud PlatformExperience supporting machine learning systems

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