As we continue to expand, we are looking for a Tech Lead to drive delivery excellence in our client projects. The ideal candidate will have strong technical expertise, leadership capabilities, and hands-on experience in DevOps, CI/CD, Infrastructure as Code (IaC), Kubernetes, observability, and cloud automation.

lowtouch.ai is a no-code AI agent platform designed for enterprise automation. We empower organizations to deploy AI-powered automation seamlessly, eliminating the complexity of traditional development.

Our Vision: As an emerging technology, we aim to capture market share within the next 3–6 months. Currently, product management is handled by the Founder & CEO and the Co-Founder. We are looking for a strong product leader to establish a structured product management function and drive execution.

This is a high-visibility, high-impact role for someone who is strategic, execution-focused, and passionate about AI-driven automation.

✅ Lead & Build – Define and establish product management best practices from the ground up.
✅ Shape the Future – Own the product vision, strategy, and execution for a next-gen AI automation platform.
✅ Drive Market Adoption – Influence product direction, sales enablement, and enterprise AI adoption.
✅ Expand Thought Leadership – Collaborate with marketing to scale our podcast and LinkedIn engagement.
✅ Work with Experts – Partner with a strong engineering team, sales force, and leadership to deliver impact.

• Technical Leadership: Lead the delivery team, guiding DevOps, CloudOps, and AIOps best practices.
• Solution Architecture: Design, implement, and optimize cloud-native architectures on AWS, Azure, or GCP.
• CI/CD & Automation: Oversee and enhance CI/CD pipelines, ensuring seamless deployment and rollback mechanisms.
• Infrastructure as Code (IaC): Implement and maintain automated infrastructure provisioning using Terraform, Ansible, or CloudFormation.
• Kubernetes & Containerization: Manage Kubernetes clusters, containerized workloads, and microservices architectures.
• Observability & AIOps: Integrate monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK, Datadog) and implement AIOps-driven solutions for anomaly detection.
• Cloud Security & Compliance: Ensure security best practices, IAM policies, and compliance standards are met.
• Customer Engagement: Work closely with clients to understand requirements, propose solutions, and lead technical discussions.
• Team Mentorship: Coach and upskill junior engineers, ensuring delivery quality and efficiency.

Technical Expertise:

• Deep understanding of DevOps, CloudOps, and AIOps concepts.
• Strong experience in AWS, Azure, or GCP cloud services.
• Hands-on expertise with Kubernetes, Docker, Helm, and service mesh (Istio/Linkerd).
• Experience in Terraform, Ansible, or CloudFormation for Infrastructure as Code (IaC).
• Proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Spinnaker).
• Strong scripting skills in Python, Bash, or Golang for automation.

Observability & Security:

• Experience with monitoring and logging tools like Prometheus, Grafana, ELK, Datadog, New Relic.
• Knowledge of security best practices, IAM, RBAC, and cloud governance.

Leadership & Delivery:

• Experience leading delivery teams and working in agile environments.
• Strong problem-solving, communication, and client-handling skills.
• Ability to work in a fast-paced, highly technical environment with multiple projects.

Preferred Qualifications

• Certifications: AWS/GCP/Azure Certified Solutions Architect, CKAD/CKA, Terraform Associate.
• Experience with multi-cloud or hybrid cloud environments.
• Exposure to serverless computing and cloud-native patterns.

? Opportunity to define the future of AI automation.
? Work closely with the CEO & leadership team in a strategic role.
? Competitive salary & growth opportunities in a fast-scaling company.
? Remote-first, flexible work environment.
? Access to industry conferences, training, and mentorship.

? Send your resume & portfolio to careers@ecloudcontrol.com
? Subject: DevOps Tech Lead (Delivery)