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.