6 sr cloud engineer jobs found

About Us: Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people. How We Work: At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: Bold in how we dream and innovate Responsive to feedback, challenges and opportunities Accountable for results and best in class outcomes Visionary in future focused problem-solving Exceptional in execution and impact The Role Proofpoint is looking for a self-starting,...

Senior Distinguished Software Engineer (Remote-Eligible) As a Sr. Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. Our Distinguished Engineering team architects the strategic modernization of core credit card platforms to ensure industry-leading architectural resilience and performance. This role involves working with partner teams to integrate new data into the decision making process in an ongoing effort to make the highest quality decisions possible. We simultaneously lead the technical orchestration and horizontal scaling required for the high-stakes integration of the Discover network into our cloud-native ecosystem. By synthesizing these complex transformations, we empower Capital One to operate at unprecedented vertical scale as a world-class network operator. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted...

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and...

Senior Distinguished Software Engineer (Remote-Eligible) As a Sr. Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. Our Distinguished Engineering team architects the strategic modernization of core credit card platforms to ensure industry-leading architectural resilience and performance. This role involves working with partner teams to integrate new data into the decision making process in an ongoing effort to make the highest quality decisions possible. We simultaneously lead the technical orchestration and horizontal scaling required for the high-stakes integration of the Discover network into our cloud-native ecosystem. By synthesizing these complex transformations, we empower Capital One to operate at unprecedented vertical scale as a world-class network operator. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted...

Senior Lead, Machine Learning (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build,...

Job Title: Sr. Systems Operations Engineer (SRE / Production Support) Duration: Full time (Permanent) Location : Charlotte, NC 28262 Salary Range: $100k /year with benefits. In this role, you will: 4+ years of application production support in complex, high-availability environments, including incident response and problem management with strong root cause discipline. 4+ years of hands-on automation and configuration management experience (Ansible preferred or similar), plus strong scripting skills (Python, Bash, PowerShell, or similar) 4+ years of Linux administration (RHEL preferred) and/or Windows Server administration supporting enterprise production workloads 4+ years of Git-based version control practices, including pull requests and peer review, with a focus on repeatability and code quality. 4+ years of experience with Monitoring and observability tools like Splunk, AppDynamics, Thousand eyes (alerts and dashboards). 4+ years of experience developing and/or...