Top Entry Level DevOps Jobs in San Diego, CA

The Software Engineer will work with engineering teams to troubleshoot and enhance software products, improve documentation, mentor new team members, and support collaborative processes within the company.

As a Front End Software Engineer at Vetcove, you'll innovate and build user-friendly solutions for veterinary services. You'll work closely with talented developers to enhance core features of the Vetcove platform, ensuring an empathetic approach to user needs in pet health technology.

The DevOps Engineer will design, optimize, automate, and execute procedures for code releases to cloud environments, while collaborating with developers, engineering, and QA to improve software delivery speed, quality, and security. Key responsibilities include managing DevOps release cycles, implementing automation, and enhancing monitoring solutions.

The Infrastructure Tooling Software Engineer will work on critical projects for Cloudflare's Resiliency Engineering team, developing tools for managing infrastructure and ensuring system functionality at scale. The role involves automating processes, managing IP addresses, and enhancing capacity dashboard functionality, with a focus on agile development.

The Machine Learning Engineer I develops and implements machine learning models, focusing on transforming prototypes into scalable solutions. Responsibilities include model deployment, data preparation, optimization, collaboration with product teams, and ensuring model performance in production environments.

In this role, you will develop and support REST APIs, GraphQL endpoints, and microservices in a cloud-native environment using Java. You will also maintain data pipelines ensuring data quality. Collaborating in a dynamic team, you will be involved in innovative solutions and modern design patterns.

SeatGeek is looking for Software Engineers to join their R&D team. Responsibilities include running a modern architecture, shipping code to production, solving performance problems, building user interfaces, and evaluating new technologies. The tech stack includes Python, Go, C#, .NET Core, Postgres, Redis, Elasticsearch, AWS, Gitlab, React+Typescript, Swift, and Kotlin.