Senior Cloud Engineer

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.

·       Seeking a AWS Cloud Engineer to design, deploy, and manage cloud infrastructure on Cloud while supporting development teams with scalable solutions. Experience in Databricks, Sagemaker, MLOps is essential.

·       Lead the design and implementation process for AWS architectures, ensuring alignment with business goals and compliance with security standards.

·       Collaborate with cross-functional teams to provide architectural guidance.

·       Security Architecture:

·       Utilize a security-first approach to design and implement robust security architectures for AWS solutions.

·       Mitigate security risks and ensure the confidentiality, integrity, and availability of confidential data.

·       Work closely with the cross functional teams, contributing to the security, development and optimization of cloud platforms.

·       Collaborate on strategic initiatives, ensuring alignment with cloud strategy and best practices.

·       Design, develop, and maintain scalable, resilient cloud-based infrastructure using an Infrastructure as Code (IAC) approach.

·       Enhance and extend Terraform/CloudFormation configurations for efficient management of AWS resources.

·       Scripting and Automation:

·       Utilize expertise in Git, PowerShell, Terraform, Jenkins, Python, and Bash scripting to automate processes and enhance efficiency.

·       Work within a DevOps environment, leveraging knowledge of Continuous Integration, Containers, and DAST/SAST tools.

·       Apply broad knowledge of security technologies landscape, emphasizing identity and access management, application and data security, and containerized security models.

·       Implement and optimize monitoring and alerting solutions for critical infrastructure.

·       Actively contribute to platform architecture, design discussions, and security initiatives."

·       7+ years of Cloud experience with core services.

·       Kubernetes/Docker and networking knowledge and experience

·       Proficiency in Terraform and scripting (Python/Bash)

·       Experience with CI/CD tools and cloud migrations

·       Experience with Github

·       Experience in Databricks, Sagemaker, AWS batch

·       Experience with MLOps

·       Bachelor's degree in Computer Science, Information Technology, or related field.

·       AWS, Databricks Certifications

·       Proven experience in security architecture and a minimum of 5 years in designing, building, and deploying secure cloud workloads.

·       Expertise in IAC, Terraform/CloudFormation, and scripting languages (Git, PowerShell, Terraform, Jenkins, Python, Bash), Databricks, Sagemaker, MLOps.

·       Experience in a DevOps environment with knowledge of Continuous Integration, Containers, and DAST/SAST tools.

·       Strong knowledge of security technologies, identity and access management, and containerized security models.

·       Experience with monitoring and alerting solutions for critical infrastructure.

·       Good to have: Experience with distributed systems, Linux, CDNs, HTTP, TCP/IP basics, database and SQL skills, Rest API, microservices-based development, and automation experience with Kubernetes and Docker.

·       Experience with Databricks, Glue, Athena, EMR, Data Lake and related solutions and services.