Junior DevOps Engineer

webAI; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Equity options

Parental leave

401(k)

Health coverage

Learning stipend

Remote-first

Job summary

webAI is hiring a DevOps Engineer to design, build, and scale secure infrastructure for AI workloads across cloud and edge environments. You will drive infrastructure architecture, platform reliability, and security best practices while collaborating with engineering teams to implement scalable, automated solutions.

The role emphasizes multi-cloud (AWS, Azure, GCP), hybrid/edge deployment, and strong emphasis on CI/CD with security controls.

Qualifications

• Hands-on experience building scalable infra for AI workloads.
• Strong knowledge of multi-cloud and edge deployments.
• Proficiency with IaC and GitOps workflows.

Responsibilities

• Design, build, and scale secure infra for AI workloads across cloud and edge.
• Implement scalable, automated infrastructure solutions with IaC and GitOps.
• Deploy and operate Kubernetes clusters optimized for AI/ML workloads.
• Develop secure CI/CD pipelines with integrated security controls.
• Support MLOps infrastructure, including model deployment automation.
• Implement observability and monitoring for reliability and performance.
• Enforce IAM, encryption, network segmentation, and compliance automation.
• Mentor junior engineers on DevOps best practices.

Tools

Terraform

Pulumi

Ansible

Docker

Kubernetes

GitHub Actions

GitLab CI

ArgoCD

Job description

• We are seeking a DevOps Engineer to design, build, and scale secure infrastructure supporting AI workloads across cloud and edge environments
• This is a high-impact individual contributor role where you will help drive infrastructure architecture, platform reliability, and security best practices across the organization
• You will work closely with engineering teams to implement scalable, automated infrastructure solutions that enable our AI platform to operate efficiently across diverse deployment scenarios—from public cloud to hybrid and edge environments
• Design and implement secure, scalable infrastructure across multi-cloud (AWS, Azure, GCP), hybrid, and edge environments
• Build and maintain Infrastructure as Code (Terraform, Pulumi, Ansible) using GitOps workflows and automated validation
• Deploy and operate Kubernetes clusters optimized for AI/ML workloads, including GPU scheduling and container security best practices
• Develop secure CI/CD pipelines with integrated security controls (SAST, DAST, vulnerability scanning, secrets management)
• Support MLOps infrastructure initiatives including model deployment automation, versioning, and lifecycle management
• Implement observability and monitoring frameworks using tools such as Prometheus, Grafana, ELK, or Datadog
• Enforce security best practices including IAM, encryption, network segmentation, and compliance automation
• Participate in incident response, reliability improvements, postmortems, and disaster recovery planning
• Develop reusable infrastructure modules and documentation (runbooks, architecture docs, standards)
• Mentor junior and mid-level engineers on DevOps best practices and infrastructure design

Benefits

• Grow with us: Equity options so you share in our growth. Build your future as we build ours.
• Family first: Parental leave and fertility support for every stage of life. Your family matters here.
• Plan your future: A 401(k) to help you save and invest. Secure what’s ahead with confidence.
• Stay well: Comprehensive health coverage for body and mind. Because balance fuels great work.
• Keep learning: A stipend to explore, study, and sharpen your skills. Growth never stops.
• Work anywhere: Remote-first with flexible time off to recharge. Find balance wherever you are.

This role requires strong technical depth, production experience, and the ability to translate complex requirements into resilient infrastructure systemsFoundational understanding of cloud security, identity, permissions, and access managementUnderstanding of monitoring, logging, and observability conceptsHands-on experience or familiarity with Infrastructure as Code tools such as Terraform, Pulumi, or AnsibleFamiliarity with CI/CD concepts and tools such as GitHub Actions, GitLab CI, Jenkins, or ArgoCDStrong communication skills and ability to collaborate with developers and other technical teamsFamiliarity with Docker and containerized application environments; exposure to Kubernetes is a plusFamiliarity with Git and modern software development workflowsStrong troubleshooting and problem-solving skills with an eagerness to learnBasic programming or scripting experience with Python, Go, Bash, or similar languages for automation1–3 years of experience in DevOps, Infrastructure Engineering, Software Engineering, or a related technical roleExperience working with or learning cloud platforms such as AWS, Azure, or GCP, including basic compute, networking, and managed servicesExposure to Kubernetes or other container orchestration technologiesExposure to Infrastructure as Code through professional experience, personal projects, internships, or courseworkInterest in supporting AI/ML or MLOps infrastructure and workflowsFamiliarity with multi-cloud or hybrid cloud environmentsFamiliarity with service mesh technologies such as Istio or LinkerdExposure to edge computing or distributed systemsBasic understanding of cloud cost optimization and resource efficiencyRelevant entry-level or associate certifications such as AWS Certified Cloud Practitioner, AWS Solutions Architect – Associate, Azure Fundamentals, or Terraform Associate