DevOps Lead

DevOps Lead SimplAI
About Us
SimplAI is redefining how enterprises adopt AI by delivering the most intuitive, secure, and scalable platform for building, deploying, tuning, and operating
intelligent AI systems. Our mission is to empower organizations to innovate rapidly and responsibly—combining state-of-the-art engineering with
world-class reliability, governance, and compliance.
We operate across AWS, GCP, and Azure, supporting large-scale AI/ML workloads, high-performance compute, GPU-based inference, and
enterprise-grade security. As we expand globally, we’re looking for a DevOps leader who can architect, automate, secure, and scale infrastructure that
powers AI for millions.
Role Overview
We are looking for a DevOps Lead to own and drive the architecture, automation, security, and operations of our AI/ML infrastructure. This role combines
hands-on engineering with leadership responsibilities and requires expertise in multi-cloud, Kubernetes, DevSecOps, reliability, and compliance (SOC2,
ISO 27001, HIPAA, GDPR).
The ideal candidate has strong technical depth, mentoring experience, and the ability to design and operate scalable, secure, highly available cloud
environments.
Key Responsibilities
● Lead DevOps/SRE teams and drive infrastructure strategy across AWS, GCP, and Azure
● Architect and manage Kubernetes clusters (EKS/GKE/AKS), GPU workloads, and multi-region systems
● Build CI/CD pipelines and standardize Infrastructure-as-Code using Terraform, Helm, etc.
● Implement DevSecOps practices and ensure ongoing compliance with SOC 2, HIPAA, ISO 27001, GDPR
● Own monitoring, reliability, performance, and incident response across all environments
● Manage databases (PostgreSQL, MongoDB, Redis) and multi-cloud storage for AI data
● Collaborate with engineering, security, and leadership on platform roadmap and scalability
● Strong communication skills with the ability to work effectively across teams and leadership.
Must-Have Qualifications
● 7+ years of experience in DevOps, SRE, or Platform Engineering
● Strong hands-on experience with AWS/GCP/Azure, Kubernetes, Terraform, CI/CD, and Linux
● Experience leading teams or mentoring engineers in complex production environments
● Proven expertise in cloud security, IAM, encryption, secrets management, and vulnerability management
● Practical understanding of SOC 2, HIPAA, GDPR, ISO 27001 controls and implementation
● Strong troubleshooting and performance tuning experience across distributed systems
● Knowledge of service mesh, autoscaling strategies, and multi-cloud networking
● Background supporting Node.js, Python, Java, or similar backend stacks
● Experience with GPU clusters, AI/ML pipelines, model serving, or high-performance compute
● Experience designing resilient architectures with multi-region failover and DR plans
● Strong hands-on experience with cloud identity and access services (IAM, service accounts, app registrations, etc.).
https://simplai.ai

Nice-to-Have
● Experience designing and operating on-premise and air-gapped (air-tight) infrastructure environments.
● Exposure to modern data platform components data pipelines, lakehouse/storage layers, ETL/ELT workflows, and scalable data processing
frameworks.
What This Role Offers
● Opportunity to build and scale next-generation AI/ML platforms
● Leadership role with direct impact on architecture, reliability, and security
● Fast-paced, innovation-driven environment with cutting-edge technologies
● Ability to work closely with leadership and cross-functional teams driving real business outcomes.
● Exposure to industry-leading experts across AI, cloud, and platform engineering.
https://simplai.ai