w
webAI
Junior DevOps Engineer
Skills
Google Cloud PlatformDockerPythonGolangGitLabJenkinsDatadogGrafanaMachine LearningAIAWSAnsiblePrometheusGitHubKubernetesComplianceTerraformAzure
15 days ago
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Important information
Contract type:
Permanent
Salary:
$90,000 – $130,000 / year
Location:
United States
Work mode:
Onsite
Published on:
4 October 2026
What they need
- 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 systems
- Foundational understanding of cloud security, identity, permissions, and access management
- Understanding of monitoring, logging, and observability concepts
- Hands-on experience or familiarity with Infrastructure as Code tools such as Terraform, Pulumi, or Ansible
- Familiarity with CI/CD concepts and tools such as GitHub Actions, GitLab CI, Jenkins, or ArgoCD
- Strong communication skills and ability to collaborate with developers and other technical teams
- Familiarity with Docker and containerized application environments; exposure to Kubernetes is a plus
- Familiarity with Git and modern software development workflows
- Strong troubleshooting and problem-solving skills with an eagerness to learn
- Basic programming or scripting experience with Python, Go, Bash, or similar languages for automation
- 1–3 years of experience in DevOps, Infrastructure Engineering, Software Engineering, or a related technical role
- Experience working with or learning cloud platforms such as AWS, Azure, or GCP, including basic compute, networking, and managed services
- Exposure to Kubernetes or other container orchestration technologies
- Exposure to Infrastructure as Code through professional experience, personal projects, internships, or coursework
- Interest in supporting AI/ML or MLOps infrastructure and workflows
- Familiarity with multi-cloud or hybrid cloud environments
- Familiarity with service mesh technologies such as Istio or Linkerd
- Exposure to edge computing or distributed systems
- Basic understanding of cloud cost optimization and resource efficiency
- Relevant entry-level or associate certifications such as AWS Certified Cloud Practitioner, AWS Solutions Architect – Associate, Azure Fundamentals, or Terraform Associate
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