DevOps Engineer

We are looking for a DevOps Engineer to build, automate, and maintain reliable infrastructure for our AI-powered fashion technology platform. You will work closely with our engineering and AI teams to improve deployment speed, system reliability, security, scalability, and observability.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for web, mobile, backend, and AI services.

• Manage and optimize AWS cloud infrastructure, including compute, networking, storage, databases, IAM, and related services.

• Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC).

• Manage Docker-based applications and containerized workloads.

• Implement deployment strategies such as blue-green, rolling, and zero-downtime deployments.

• Monitor application and infrastructure performance, availability, logs, and errors.

• Set up and maintain centralized logging, monitoring, alerting, and observability.

• Implement cloud security best practices, access controls, secrets management, and vulnerability management.

• Optimize infrastructure for performance, reliability, and cost.

• Troubleshoot production incidents and conduct root-cause analysis.

• Maintain backup, disaster recovery, and business continuity processes.

• Work with developers to improve application performance and deployment workflows.

• Maintain development, staging, and production environments.

• Document infrastructure, deployment procedures, architecture, and operational processes.

Required Skills

• Strong experience with AWS and cloud infrastructure.

• Strong knowledge of Linux administration.

• Hands-on experience with Docker and containerized deployments.

• Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.

• Experience with Infrastructure as Code, preferably Terraform.

• Strong understanding of Git and GitHub.

• Experience with monitoring and logging tools.

• Understanding of networking concepts including DNS, HTTP/HTTPS, TCP/IP, load balancing, VPCs, firewalls, and SSL/TLS.

• Knowledge of cloud security, IAM, secrets management, and access control.

• Strong scripting skills in Bash, Python, or similar.

• Experience troubleshooting production systems.

Good to Have

• Kubernetes / Amazon EKS experience.

• AWS ECS/ECR experience.

• Experience with MongoDB and database infrastructure.

• Experience deploying AI/ML workloads and APIs.

• Experience with Next.js / Node.js applications.

• Experience with Redis, queues, or event-driven architectures.

• Experience with Prometheus, Grafana, ELK/OpenSearch, CloudWatch, or similar tools.

• Experience implementing automated security and vulnerability scanning.

• Experience with high-availability and auto-scaling architectures.

What We Are Looking For

• Strong ownership and problem-solving ability.

• Ability to work independently in a fast-moving startup environment.

• Security-first and automation-first mindset.

• Strong understanding of production reliability and scalability.

• Ability to collaborate closely with engineering and AI/ML teams.

• Willingness to take responsibility for infrastructure from development through production.

Why Join BeSpoke AI Stylist?

You will work on the infrastructure behind an AI-powered fashion platform combining generative AI, personal styling, digital wardrobes, virtual try-on, AI design, and commerce.

This is an opportunity to have direct ownership of cloud infrastructure and DevOps architecture while working with a growing product and engineering team.