AWS Cloud & DevOps Engineer

What awaits you/ Job Profile?

GAIA is a large language model (LLM) platform that serves as the backbone for BMW in developing AI-driven solutions for internal stakeholders.

We are seeking a AWS Cloud and DevOps Engineer to join our BMW Techworks teams of highly skilled specialists responsible for designing, building, and operating cloud-native solutions.

Our services are primarily built and operated on the Amazon Web Services (AWS) cloud platform. In this role, you will take a hands-on position in architecting, automating, and optimizing cloud infrastructure while ensuring reliability, scalability, and security across environments. You will work closely with development teams to implement DevOps best practices, streamline CI/CD pipelines, and enable high-performing cloud ecosystems.

This position is ideal for a cloud-native engineer who thrives in automation-first environments, enjoys solving complex infrastructure challenges, and is passionate about operational excellence. If you bring energy, ownership, and a mindset of continuous improvement, this role offers the opportunity to drive impactful transformation at scale.

What should you bring along?

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
• 2+ years of experience in Cloud Engineering and DevOps roles
• Strong hands-on experience with AWS cloud services in production environments
• Proven experience implementing DevOps methodologies and automation strategies
• Strong problem-solving mindset with a proactive approach to operational challenges
• Experience working in Agile / Scrum environments
• Strong communication skills and ability to collaborate with cross-functional teams
• Ownership mentality with focus on reliability, scalability, and performance
• Passion for automation, continuous improvement, and cloud innovation

Must have technical skill

• Deep hands-on experience with core AWS services (EC2, S3, RDS, VPC, IAM, EKS, Lambda, CloudWatch)
• Strong experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation
• CI/CD pipeline implementation using tools like Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline
• Containerization and orchestration using Docker and Kubernetes (EKS preferred)
• Configuration management tools such as Ansible or similar
• Strong scripting skills in Python, Bash, or Shell scripting
• Monitoring and logging solutions (CloudWatch, Prometheus, Grafana, ELK stack)
• Experience with networking concepts, DNS, load balancing, and CDN
• Cloud security best practices, IAM policies, encryption, and secrets management
• Version control systems such as Git
• Experience with automated testing and deployment strategies

Good to have technical skills

• AWS certifications (Solutions Architect, DevOps Engineer, SysOps Administrator)
• Experience with multi-account AWS environments and landing zone architecture
• Knowledge of FinOps and cloud cost optimization strategies
• Experience with serverless architectures
• Exposure to microservices architecture patterns
• Experience with hybrid or multi-cloud environments
• Understanding of DevSecOps practices and security automation
• Experience with Site Reliability Engineering (SRE) principles
• Familiarity with observability frameworks and distributed tracing
• Knowledge of data services and streaming technologies (e.g., Kafka)