HP yra pasaulinė technologijų ir techninės įrangos bendrovė, teikianti vartotojams ir įmonėms kompiuterijos, spausdinimo, vaizdo apdorojimo ir susijusius produktus. Jos asortimentą sudaro nešiojamieji ir stacionarieji kompiuteriai, profesionaliosios ir žaidimų darbo stotys, monitoriai, priedai, 3D spausdinimo sistemos ir tokios paslaugos kaip „Instant Ink“, automatizuojanti rašalo tiekimą. HP taip pat remia produktų perdirbimą ir tvarumo iniciatyvas, siūlydama platų sprendimų pasirinkimą darbui, kūrybai ir kasdieniam naudojimui namuose.
Senior Lead DevOps Cloud Engineer at HP
Lead HP’s enterprise integration and generative AI platforms while guiding cloud operations, infrastructure, DevSecOps, and platform engineering teams.
Aprašymas
- Build and support HP Enterprise Integration solutions.
- Guide initiatives for the company’s Generative AI platform.
- Support platform services and document how applications use Generative AI.
- Direct daily operations and support for the platform engineering team.
- Maintain platform infrastructure and handle troubleshooting and technical support.
- Create operational strategies to streamline processes, raise productivity, and improve customer satisfaction.
- Partner with cross-functional teams to resolve operational issues and support business goals.
- Track performance measures and take corrective action to meet service levels and targets.
- Lead recruitment, training, and performance reviews for the operations and support team.
- Partner with engineering teams to select and implement suitable cloud solutions.
- Establish and document standards for application deployment and infrastructure management.
- Advise and mentor development teams on cloud capabilities and practices.
- Meet application performance, availability, and scaling needs.
- Administer cloud environments in line with company security standards.
- Adopt and apply DevSecOps practices.
Reikalavimai
- Bachelor’s degree required.
- At least 10 years of relevant experience.
- Expertise with AWS services such as IAM, VPC, EC2, EKS, S3, RDS, Route 53, CloudWatch, and Lambda.
- Proficiency with Docker, Kubernetes, and other container technologies.
- Working knowledge of Linux.
- Experience with Terraform for Infrastructure as Code.
- Experience managing source control with GitHub.
- Experience with continuous integration using Azure Pipelines and GitHub Actions.
- Experience with Ansible for configuration management.
- Experience with observability tools including Prometheus, Grafana, Fluentd, and the Elastic Stack.
- Programming experience in at least one language.
- Ability to work across multiple cloud platforms, especially AWS and Azure.
- Knowledge of networking, storage, and access management.
- Knowledge of cloud security and cost optimization.
- Experience designing highly available distributed systems.
- Familiarity with microservices and messaging-based architectures.
- Strong communication skills.
- Background in operations management, technical support, or a similar role, preferably in a large enterprise.
- Leadership skills, including the ability to motivate and develop a team.
- Strong interpersonal skills and a customer-focused approach.
- Proficiency with project management methods and tools.
- Familiarity with platform engineering, cloud technologies, and Agile methods.
Privalumai
- Equal employment opportunity protections.
- No travel required.
- Relocation is not provided or required.