MTS, Infrastructure Engineer
Location
California
Posted
101 days ago
Salary
$0
Seniority
Mid Level
Job Description
MTS, Infrastructure Engineer
Delphina
About Delphina Today’s Data Scientists are in pain - spending their time manually wrangling data, building models through slow trial and error, taking on painstaking rewrites for deployment, and dealing with countless other frustrating bottlenecks. And the tools they are using for much of this work – e.g. Jupyter notebooks and Pandas – are over a decade old. We founded Delphina to change this: our mission is to help the world get better at using data to understand the present and predict the future. Delphina is an AI Agent for Data Science: leveraging a combination of generative AI, large scale optimization, and specialized infrastructure to automate the time-consuming but necessary tasks to build powerful ML models quickly; Delphina will identify relevant data, clean it, train models, and even productionize pipelines. Our team has previously led large data science and machine learning teams (covering both applications and infrastructure), built startups, and created successful tools for enterprise ML. We're backed by top AI investors, including Fei-Fei Li, Radical VC, and Costanoa VC. What you’ll do We're looking for an experienced ML Infrastructure Engineer to join as a Member of our Technical Staff of Delphina. As one of our key early hires, you will partner closely with our early team on the direction of our product and drive critical technical decisions. You will have broad impact over the technology, product, and our company's culture. You will be responsible for: Developing platforms that enable scientists, researchers, developers to run ML jobs easily and quickly at scale using the latest technologies Developing solutions that will orchestrate and support massive quantities of data through stages like ingestion, indexing/mining, transformation, machine learning, online deployment Defining a consistent continuous integration/deployment model that will encourage cross-functional development teams to self-service application unit testing, deployment and operations Influencing and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies What we’re looking for Proficiency in multiple programming languages relevant for such systems (e.g. Python, Rust, C++, Go, Java) Knowledge about what it takes to deploy and operate high availability production systems in the cloud Experience designing service-oriented architectures and leveraging various data store technologies Energy and ambition to build a product that is surprisingly good in surprising ways Intrinsic desire to always be improving our product and yourself. Growth mindset to both stay ahead of the curve and pick up whatever knowledge you're missing to get the job done Nice to haves Experience working directly on machine learning models – either by partnering with scientists and engineers who are building models, or by building models yourself Experience leading cross functional teams through ambiguous problems Benefits Equity in the company Medical, dental, and vision insurance 401k Unlimited PTO Top of the line Apple equipment Free lunch in the office
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Senior Infrastructure Engineer I
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Senior Infrastructure Engineer
PrizePicksPrizePicks is a sports betting company offering a fantasy platform where users can select players and teams to place bets on. With the mission of becoming the most loved fan engage
• Lead the design and architecture of scalable, resilient, and secure cloud-native platforms and infrastructure on cloud platforms like AWS and GCP. • Develop, manage, and champion the use of IaC tools like Terraform and Crossplane to automate infrastructure provisioning and management. • Build, maintain, and optimize CI/CD pipelines using GitHub Actions and ArgoCD to automate the build, testing, and deployment of applications, enabling faster and more reliable software delivery. • Manage and scale our containerized environments using technologies like Docker and Kubernetes. • Implement and manage robust monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, Datadog) to ensure system health and proactively identify and resolve issues. • Identify problems, develop and implement solutions, and drive innovation to improve infrastructure performance, stability, and efficiency. • Work closely with development teams to provide self-service tools and platforms, troubleshoot complex issues, and act as a subject matter expert for our infrastructure. • Implement and enforce security best practices, conduct security assessments, and ensure compliance with industry standards. • Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and continuous improvement.
• Design and maintain organization’s on-premises and Azure infrastructure. • Ensure the stability, security, and scalability of mission-critical systems. • Architect, deploy, and optimize Azure Virtual Machines. • Lead identity and access design using Azure AD, RBAC, and conditional access controls. • Oversee Azure governance including policies and cost optimization. • Drive modernization efforts including virtualization improvements and Azure migration. • Lead major infrastructure projects and cloud transformations end-to-end. • Mentor junior engineers and drive knowledge sharing.



