With a broad portfolio spanning AWS, Azure and Google to a full set of Private Cloud and Cybersecurity solutions, RapidScale helps companies turn technology into their biggest competitive advantage. Partner with Customer Success, Sales Engineering, and Support to resolve issues and drive value. Account Management Expertise: 4+ years of experience in account management, customer success, or sales within a cloud-based services environment, with a proven track record of customer retention, contract renewals, and driving revenue growth in Cloud MSP, SaaS, or IT services companies. Certifications such as AWS, Azure, Google Cloud practicioner certifications, AWS Certified Solutions Architect, Microsoft Azure Solutions Architect, Google Cloud Professional Cloud Architect, or similar, demonstrating a high level of cloud knowledge and technical competency. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
We are seeking a strategic and results-driven Director, Cloud Identity & Infrastructure Access Management to lead a fast-paced, high-impact, team in the development and execution of a cutting-edge Directory Services cloud-first strategy spanning Entra/Azure, AWS, and Google Cloud Platform (GCP) platforms.. Ensure cloud IAM systems comply with regulatory requirements and corporate security policies.. At least 5 years of experience in managing and configuring cloud identity and access management solutions on platforms such as Entra/Azure, AWS, and Google Cloud.. Strong understanding of cloud-based Directory Services, identity management principles, and best practices for Entra/Azure, AWS, & GCP.. Familiarity with IT risk management policies and cybersecurity regulations relevant to critical infrastructures.
An exciting career awaits you At MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.. The ideal candidate will possess a robust background in Software Development, strong Azure development skills, DevSecOps knowledge, and a deep understanding of application security best practices.. Works with users to translate designs and solution architecture into design specifications within Azure DevOps (ADO).. Proficiency in Azure cloud services, Infrastructure as Code (IaC) for building Platform as a Service (PaaS) solutions, and unit testing is highly preferred.. DevSecOps - A set of practices that automates the integration of security at every phase of the software development lifecycle, from initial design through integration, testing, deployment, and software delivery, with an aim towards shortening the systems development life cycle and continuous delivery.
Knowledge of DEVSECOPS principles and practices, and experience with continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with IT governance frameworks, such as COBIT or ITIL. Certification in enterprise architecture or related field (e.g., TOGAF certification). Experience with cloud computing technologies and architectures, such as AWS, Azure, or Google Cloud Platform. Experience with enterprise risk management and cybersecurity principles.
As a Cloud Engineer within the AWS AI/ML platform team, you will have the opportunity to work one-on-one with application and infrastructure developers to build and enhance the AI/ML infrastructure and application patterns that power mission-critical applications, ensuring that they’re engineered for high availability, durability, and resiliency. Partner with the Site Reliability Engineering (SRE) team to conduct post-incident reviews and root cause analysis and building monitoring and automation to prevent future incidents. Experience with infrastructure automation tools such as Puppet, Ansible, CloudFormation, or Terraform. Working knowledge of pipeline-automation tools such as Jenkins, CodePipeline, Azure DevOps, or other comparable tools. Prior experience within a DevOps, DevSecOps, SRE, or UNIX/Linux Sys-Admin teams.
Broad technical foundation in software engineering and deep learning (through self-study, practical experience, or PhD).. ML: knows the theory and applied side of deep learning, especially computer vision and foundational model architectures (PyTorch, OpenCV, Tensorflow).. Backend: experience designing and building scalable and high availability server-side systems (Python, NodeJS, or Golang).. Cloud: familiarity with DevOps and infrastructure (i.e. Docker, Kubernetes, GPU scheduling) on cloud (i.e. GCP, AWS).. Monitoring: experience with logging systems and monitoring tools such as DataDog, Sentry, and/or CloudWatch
We are seeking a Product Analyst to join the CX Mobile and Infrastructure Agile Release Trains (ART).. The ideal candidate will have strong Azure DevOps expertise, experience in the utilities industry, and the ability to guide stakeholders and vendors through backlog priorities and delivery expectations.. Manage and refine the mobile product backlog in Azure DevOps.. Support functional testing, UAT, and release readiness activities.. Azure DevOps (ADO) expertise – backlog management, Agile tracking.