Summary
✨ AI‑Generated
A work-from-home DevOps Engineer role focused on designing, deploying, securing, monitoring, and continuously improving cloud infrastructure. The position emphasizes AWS, Docker-based workloads, Infrastructure as Code, automation, reliability, incident response, and cost efficiency. Candidates should have 3–6 years of experience in DevOps, SRE, cloud, or platform engineering.
Highlights
Work-from-home DevOps role with ownership of cloud infrastructure for an AI platform, hands-on AWS and automation work, and close collaboration with engineering and AI/ML teams.
Description
About the Role
Schedule: Monday-Friday, 11:30 AM - 8:30 PM Manila Time
We are looking for a DevOps Engineer to own and evolve the infrastructure that powers our AI platform and supporting services.
You will be responsible for designing, deploying, and maintaining a reliable, secure, and cost-efficient cloud environment on AWS, with Docker-based workloads at its core.
This is a hands-on role for someone who enjoys the full lifecycle of infrastructure work — from provisioning and automation to monitoring, incident response, and continuous improvement.
You will partner closely with engineering, AI/ML, and product teams to ship reliably and scale gracefully.
What qualities are we seeking?
3-6 years experience in DevOps, SRE, Cloud, or Platform EngineeringStrong hands-on experience with AWS (compute, networking, storage)Proficiency in Infrastructure as Code (Terraform, CloudFormation, or AWS CDK)Strong expertise in Docker (build, optimize, troubleshoot containers)Production experience with ECS, EKS, or KubernetesStrong scripting skills (Bash (Preferred) and Python or Go)Solid Linux administration, networking fundamentals, and Git workflowsHands-on experience with CI/CD pipelinesExperience with monitoring, logging, and alerting tools in productionAbility to deploy, manage, and troubleshoot across mobile (Flutter), web (React), and backend (Python/FastAPI) environments - InfraExposure to or strong interest in operating AI/LLM workloads in production - Claude/ ChatGPT/ etc.
What does a typical day look like?
Responsible for designing, deploying, and managing secure, scalable, and cost-efficient AWS cloud infrastructure using Infrastructure as Code (Terraform, CloudFormation, AWS CDK).
Oversees core AWS services including compute, networking, storage, databases, security, monitoring, and container platforms (ECS/EKS, Docker, ECR).Builds and maintains CI/CD pipelines to automate testing, containerization, security scanning, and deployment processes, ensuring reliable and zero-downtime releases.
Implements observability, incident response, disaster recovery, and high-availability strategies to maintain platform reliability and performance.Applies cloud security best practices across IAM, secrets management, encryption, network security, compliance, and data protection requirements.
Supports generative AI and ML infrastructure on AWS, including Amazon Bedrock, SageMaker, GPU-based workloads, vector databases, RAG architectures, and model deployment pipelines, while optimizing performance and cost.Collaborates closely with engineering teams to deliver reliable infrastructure, create operational documentation, and mentor developers on DevOps practices, deployment standards, and cloud cost optimization.
Why join us?
Work from HomeComprehensive HMO coverageExciting learning and career growth opportunitiesSeamless HR experience with Cloud HR (Sprout)Above-standard leave benefits
Make your next big career move by applying at KMC Solutions!
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