Chief Security Officer Jobs

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value. Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements Participate and prepare for Monthly and Quarterly Business Reviews with customers Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products Continuously evolve best practice to technical product adoption and customer success Who You Are: Someone with a solid technical grounding and hands-on experience of IT Operations Confident in your hands on experience AWS, Azure or GCP Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc. Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc. Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc. Able to sit up to 4 hours, traveling to and from client sites A

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Team The Site Reliability team is dedicated to architecting and owning the foundational infrastructure tooling and CI/CD platforms that support Okta’s SRE ecosystem. In this development-focused role, you will leverage a modern tech-stack to build durable, automated systems that maximize platform reliability and engineering velocity. The ideal candidate is someone who enjoys analyzing systems and identifying areas of opportunity to improve system performance, availability and capacity. They are part systems administrator, part network administrator, and part developer. What you’ll be doing Maintain a highly available cloud infrastructure edge for the Okta identity platform Automate AWS infrastructure with Terraform and/or Chef Evolve the system by introducing changes to improve efficiency, scalability, and velocity What you’ll bring to the role 8+ years of operations experience configuring, deploying, monitoring and troubleshooting applications and

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the Role The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and build systems to manage both cloud and bare-metal fleets at scale. Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. Automate infrastructure processes, reducing repetitive toil and improving system reliability. Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. You might thrive in this role if you: Have strong software engineering skills with experience in large-scale infrastructure environments. Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers). Have deep expertise in server-level systems (e.g., systems, containerization, Chef,