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.

Job Description (Summary of Responsibilities):

· 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.

Key Duties and Tasks (If any specifics to be shared):

* Architectural Design:

· 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.

Collaboration:

· 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.

Infrastructure as Code (IAC):

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

Terraform/CloudFormation Expertise:

· 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.

DevOps Environment:

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

Security Technologies:

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

Monitoring and Alerting Solutions:

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

Contribution to Platform Architecture:

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

Qualifications and Skills Required:

· 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

Education:

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

Certifications/Licenses:

· AWS, Databricks Certifications

Technical Skills:

· 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.