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 Overview:

We are seeking an experienced Cloud Engineer to design, deploy, and manage secure, scalable, and highly available cloud infrastructure—primarily on AWS, with additional exposure to Azure or GCP considered a strong plus. The ideal candidate will have a strong security-first mindset, deep experience in infrastructure as code (IaC), and a collaborative approach to supporting development and DevOps teams in building modern cloud-native platforms.

Key Responsibilities:

Architectural Design & Implementation

• Lead the architecture and implementation of AWS cloud environments tailored to business needs and aligned with security and compliance standards.
• Provide technical guidance to development and operations teams on cloud architecture best practices.

Security Architecture

• Design and implement robust security controls in AWS, ensuring protection of data and infrastructure.
• Drive secure configuration of cloud resources including IAM, encryption, network segmentation, and vulnerability management.

Infrastructure as Code (IaC)

• Build and manage cloud infrastructure using Terraform and/or CloudFormation, enabling consistent, repeatable, and scalable deployments.
• Integrate infrastructure automation into CI/CD pipelines and operational workflows.

Scripting & Automation

• Automate infrastructure and application deployments using Python, Bash, Git, Jenkins, PowerShell, and other scripting tools.
• Develop self-healing and auto-scaling solutions to improve system resilience and reduce manual effort.

DevOps and CI/CD Support

• Operate within a DevOps ecosystem, supporting CI/CD processes, containerization, and automated security testing (DAST/SAST).
• Collaborate with development teams to streamline release cycles and ensure secure deployments.

Monitoring and Reliability

• Design and implement comprehensive monitoring and alerting strategies for cloud workloads using native AWS tools and third-party platforms.
• Support incident response and root cause analysis for cloud infrastructure-related issues.

Cross-Functional Collaboration

• Work closely with application developers, security engineers, and platform teams to support end-to-end delivery.
• Participate in platform architecture discussions and long-term cloud strategy planning.

Required Qualifications:

• 7+ years of experience in cloud engineering, including multi-cloud environments with a strong focus on AWS.
• Solid experience in infrastructure automation (Terraform, CloudFormation) and scripting languages (Python, Bash, PowerShell).
• Experience with CI/CD pipelines using tools like GitHub, Jenkins, and GitLab.
• Proficiency in Docker/Kubernetes, cloud networking, and container orchestration.
• Strong grasp of cloud security practices, IAM, encryption, and data protection.
• Exposure to DevSecOps, including vulnerability scanning and remediation workflows.
• Familiarity with monitoring tools (CloudWatch, Prometheus, Datadog, etc.) and alerting strategies.
• Experience with cloud-native data services such as Databricks, AWS Glue, EMR, Athena, and Data Lake.

Nice to Have:

• Experience with distributed systems, Linux, CDNs, HTTP/TCP/IP fundamentals, and SQL/database administration.
• Familiarity with REST APIs, microservices architecture, and serverless computing models.

Education & Certifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications such as:
• • AWS Certified Solutions Architect / DevOps Engineer
  • Microsoft Azure / Google Cloud certifications (preferred)