Top DevOps Engineer Jobs in San Francisco, CA
The DevOps Engineer at Calm will be part of the core infrastructure team, responsible for maintaining and scaling the distributed backend infrastructure. Responsibilities include systems performance tuning, application and infrastructure monitoring, automation, ensuring security and reliability, and advocating for practices like Infrastructure as Code and software observability.
As a Principal DevOps Engineer on Upstart's Cloud Platform Team, you will lead the technical vision for the Cloud Infrastructure, Compute, and Service Mesh technologies. You will collaborate with other teams, own infrastructure and compute management, and drive architectural excellence in distributed computing.
As a DevOps Engineer, you will be responsible for the build system at Webflow, ensuring reliability and performance across multiple development environments. You'll collaborate with engineering teams to define development best practices and optimize application performance, while also working on deployment strategies and staying abreast of DevOps trends.
The IT DevOps Engineer will enhance and streamline IT infrastructure, manage endpoint environments across various OS platforms, develop policies for security compliance, implement IAM solutions with Okta, and mentor junior engineers to improve the organization's IT services.
Senior DevOps Engineer role on the Data Platform team at Grammarly, responsible for leading cloud infrastructure design, automation, and management focusing on Databricks and AWS. Key responsibilities include implementing and managing scalable infrastructure, optimizing CI/CD pipelines, orchestrating tasks with tools like Terraform and Kubernetes, managing monitoring and logging systems, implementing cloud security best practices, and ensuring data privacy compliance.
The DevOps Engineer will ensure the secure operation of GovCloud, handle deployment releases, collaborate with service owners on regression issues, and manage FedRAMP compliance including vulnerability resolutions.
As a Senior DevOps Engineer at Upstart, you'll architect and automate tools for product engineers, focusing on scalability and reliability. You'll optimize deployment processes, analyze system data for improvements, and enhance product engineering efficiency, all while collaborating closely with other teams.
As a Staff DevOps Engineer, you'll automate and scale systems for Crunchyroll's streaming platform, collaborating with teams to implement infrastructure automation, CI/CD practices, and ensure best practices are followed. You'll lead projects, provide guidance on production best practices, and collaborate to enhance software delivery.
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The Lead Software Engineer, DevOps will lead diverse technology projects, build cloud-based solutions, mentor team members, and stay on top of tech trends. The role involves collaborating with product managers and utilizing multiple programming languages and tools to solve complex business problems.
Seeking a passionate Senior Software Engineer, DevOps to collaborate with Agile teams, drive a major transformation within Capital One, and deliver robust cloud-based solutions using a variety of programming languages and technologies.
As a Sr. Engineer for CICD DevOps at CrowdStrike, you will develop build and test processes for applications, automate tasks, and enhance CI/CD pipelines. You will work on a global platform processing large-scale events and contribute to the continuous improvement of cybersecurity measures.
Seeking an experienced DevOps Engineer to join the Cloud Developer Experience team to enhance CI systems, develop Python-based CI pipelines, introduce innovative tooling solutions, and collaborate with development, infrastructure, and security teams. Requires 5+ years of experience with Python development, CI/CD best practices, and operating CI tools like Argo Workflows and Jenkins.
As a Software Engineer in Infrastructure, you'll manage software releases at Benchling, focusing on CI/CD pipelines. Your main responsibilities include enhancing infrastructure for developer experience, automating deployment processes, and collaborating with engineers to improve release quality and performance, while leading various infrastructure projects.
The Senior DevOps Engineer will build tools and processes for the NetBase Quid product, enabling engineers to operate cloud infrastructure efficiently, automating tasks, and ensuring security practices. Responsibilities include supporting development environments, collaborating with product developers, and managing on-call duties.
The Cloud Engineer role focuses on supporting the finance team at BenchPrep by managing financial records, preparing reports, and ensuring compliance with GAAP. Responsibilities include account reconciliations, journal entries, budgeting, audits, and process improvements. Ideal candidates should possess strong analytical skills and a CPA is preferred.
Senior Lead Infrastructure Engineer at JPMorgan Chase within the Cloud Foundational Platforms, responsible for infrastructure engineering, driving complex programs, providing technical coaching, and serving in a leadership role to drive the organization's success.
Own the complete lifecycle of Tecton’s cloud infrastructure development, engage with engineering teams to accelerate efficiency, develop and maintain monitoring tools, build and manage CI/CD system, participate in on-call rotation.
Lead the design and execution of critical infrastructure projects at Loom, focusing on scalability and reliability. Collaborate across engineering teams to enhance internal tools while utilizing AWS, Kubernetes, and developing automation strategies with Go and Terraform. Address system bottlenecks to support significant user growth.
The Senior Site Reliability Engineer will manage infrastructure for the Federal region of ThousandEyes, focusing on availability, performance, security, and compliance with FedRAMP. Responsibilities include designing and maintaining cloud-native services, automation for scaling, incident response, and collaboration with development and security teams.
The IT Infrastructure Engineer will support the finance team by managing accounting functions such as account reconciliations, journal entries, accounts receivable, accounts payable, and billing analysis. The role involves reviewing transactions for compliance with GAAP, preparing financial statements, assisting in budget preparation, and improving accounting processes.
The Senior Site Reliability Engineer will enhance Cloud services by managing the Caching infrastructure and automation for Atlassian's Cloud products. The role includes mentoring team members, improving service reliability, performance, scalability, and cost efficiency, and utilizing experience in public cloud offerings and programming to implement solutions effectively.
The Site Reliability Engineer will join the SRE team to scale cloud services, enhance reliability, performance, scalability, and automation, while managing high-availability systems. Responsibilities include operating distributed software, building monitoring solutions, and improving code through debugging and automation.
Infrastructure Engineer III at CrowdStrike focused on deploying and operating the infrastructure for the software factory. Responsibilities include working with various hardware architectures, automating tasks, operating system management, and ensuring the resilience of critical environments. Requires expertise in traditional infrastructure, storage technologies, bare metal provisioning, and automation tools.
Crowdstrike is seeking a Sr. Cloud Engineer to work on the Detections Platform team, focusing on building the next generation of cloud-side detections processing. Responsibilities include leveraging and building cloud-based systems to detect targeted attacks, collaborating with multiple teams, mentoring engineers, and delivering feedback. The role involves building solutions in Go, reading multiple programming languages, and continuously learning and improving engineering practices.
As a DevOps Engineer, you will develop, maintain, and implement Kubernetes clusters for machine learning workloads, collaborate with Data Science and Engineering teams on workload optimization, ensure best practices for software deployment, and respond to system incidents.
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