What are the responsibilities and job description for the Cloud Engineer position at Motion Recruitment?
Join an innovative organization as a Cloud DevOps Engineer in a full-time role focused on designing, implementing, and maintaining scalable and secure cloud-native infrastructure with emphasis on AWS and Kubernetes. You'll contribute to cloud migrations, security implementations, and DevOps best practices while supporting the reliability and performance of cloud environments. This position involves working closely with cross-functional teams to deliver infrastructure solutions that align with application and business needs. You'll continuously improve systems through automation, monitoring, and operational best practices while growing your technical skills and sharing knowledge within the team. This role combines hands-on engineering work with opportunities to participate in proof-of-concept efforts for new tools and technologies, contributing implementation feedback and helping shape infrastructure standards.
This is an excellent opportunity for a DevOps professional with strong Linux and cloud experience to work with cutting-edge cloud-native technologies in a collaborative environment. The role offers significant technical depth, working extensively with Kubernetes on AWS EKS while implementing observability solutions, Infrastructure as Code, and CI/CD pipelines. You'll gain valuable experience across the full cloud infrastructure stack, from container orchestration to security implementations and application modernization efforts. The position provides opportunities to participate in proof-of-concept initiatives, allowing you to evaluate and implement new technologies while influencing infrastructure direction. Working with cross-functional teams including application developers and platform engineers, you'll develop strong collaboration skills while solving complex technical challenges. The focus on automation, monitoring, and operational excellence means you'll build systems that improve reliability and performance at scale. With participation in on-call rotations and incident response, you'll gain critical operational experience and contribute to continuous improvement through post-incident learnings. The role emphasizes both technical growth and knowledge sharing, creating an environment where curiosity and learning are valued. Preferred certifications in AWS or GCP and experience with monitoring tools like Grafana, Prometheus, or AlertManager provide clear pathways for professional development.
Required Skills & Experience
Tech Breakdown
This is an excellent opportunity for a DevOps professional with strong Linux and cloud experience to work with cutting-edge cloud-native technologies in a collaborative environment. The role offers significant technical depth, working extensively with Kubernetes on AWS EKS while implementing observability solutions, Infrastructure as Code, and CI/CD pipelines. You'll gain valuable experience across the full cloud infrastructure stack, from container orchestration to security implementations and application modernization efforts. The position provides opportunities to participate in proof-of-concept initiatives, allowing you to evaluate and implement new technologies while influencing infrastructure direction. Working with cross-functional teams including application developers and platform engineers, you'll develop strong collaboration skills while solving complex technical challenges. The focus on automation, monitoring, and operational excellence means you'll build systems that improve reliability and performance at scale. With participation in on-call rotations and incident response, you'll gain critical operational experience and contribute to continuous improvement through post-incident learnings. The role emphasizes both technical growth and knowledge sharing, creating an environment where curiosity and learning are valued. Preferred certifications in AWS or GCP and experience with monitoring tools like Grafana, Prometheus, or AlertManager provide clear pathways for professional development.
Required Skills & Experience
- Bachelor's degree in Computer Science, Information Technology, or related field
- 6 years of experience with Linux systems, cloud engineering, and DevOps practices
- Understanding of cloud technologies such as AWS or GCP
- Ability to port on-premises Python scripts to work in cloud environments
- Proficient in Docker and Kubernetes with good knowledge of their ecosystems
- Security-focused mindset
- Experience with Terraform or another Infrastructure as Code tool
- Continuous integration and continuous deployment infrastructure experience
- Proactive approach to spotting problems, areas for improvement, and performance bottlenecks
- Strong Linux shell proficiency
- Git source code control experience
- Strong communication skills and ability to work well with others
- Highly self-motivated, self-directed, and attentive to detail
- Ability to handle multiple tasks, set priorities, schedule, and meet deadlines
- Effective communicator via documentation and async communication channels
- Availability for after-hours response to emergency issues
- Ability to participate in on-call rotation
- Understanding of enterprise server hardware setup and device configuration
- Amazon Web Services (AWS) or Google Cloud Platform (GCP) certifications
- Experience with MMR (Management, Monitoring and Reporting)
- Specific experience with Grafana, Prometheus, or AlertManager
- Configuration management and automation experience
- Experience with cloud migrations and application modernization
- Kubernetes certifications (CKA, CKAD)
- Experience with microservices architectures
- Python scripting and automation skills
- Experience with observability and monitoring platforms
- Knowledge of security best practices and compliance requirements
- Experience with cloud-native application deployments
Tech Breakdown
- 35% Kubernetes and Container Orchestration (EKS management, deployments, cluster operations)
- 30% Infrastructure as Code and Automation (Terraform, CI/CD pipelines, scripting)
- 20% Cloud Infrastructure (AWS services, migrations, security implementations)
- 15% Observability and Operations (monitoring, troubleshooting, incident response)
- 50% Hands-On Engineering (building infrastructure, deployments, automation development)
- 30% Collaboration and Support (working with teams, supporting applications, knowledge sharing)
- 20% Operations and Monitoring (incident response, troubleshooting, performance tuning)