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Remote Devops Jobs in Milpitas, CA (NOW HIRING)

AI-First SRE/DevOps Engineer

San Jose, CA ยท On-site +1

$66.75 - $88.75/hr

US (Remote or HQ Hybrid) Job Type: Full-time Axiad is seeking a skilled AI-First SRE/DevOps Engineer with 5-8 years of hands-on infrastructure and platform engineering experience to help build and ...

AI/ML Engineer - Remote

Palo Alto, CA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

AI/ML Engineer - Remote

San Jose, CA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

Mental Health Expert - Remote

San Jose, CA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

Mental Health Expert - Remote

Palo Alto, CA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

Showing results 21-40

Remote Devops information

See Milpitas, CA salary details

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$70

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How much do remote devops jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote devops in Milpitas, CA is $70.54, according to ZipRecruiter salary data. Most workers in this role earn between $59.09 and $80.96 per hour, depending on experience, location, and employer.

What is a remote DevOps engineer?

A Remote DevOps engineer is a professional who works from a remote location to manage and automate an organization's IT infrastructure, development, and deployment processes. Their main goal is to bridge the gap between software development and IT operations, ensuring that software can be released quickly, reliably, and efficiently. Remote DevOps engineers use tools like CI/CD pipelines, configuration management, and cloud platforms to streamline workflows and improve system reliability. They collaborate with development and operations teams using online communication and project management tools.

How do remote DevOps professionals typically collaborate with development and operations teams across different time zones?

Remote DevOps professionals often use a combination of collaboration tools such as Slack, Jira, and Zoom to stay connected with development and operations teams. They rely heavily on clear documentation, version control systems, and automated workflows to ensure smooth handoffs and consistent processes across time zones. Regular stand-up meetings, asynchronous communication, and shared dashboards help maintain alignment on priorities and progress, making it possible to address incidents and deploy updates efficiently despite geographical differences.

What is the difference between Remote Devops vs Remote Cloud Engineer?

AspectRemote DevopsRemote Cloud Engineer
Required CredentialsCertifications like AWS, Azure, Docker, KubernetesSame certifications, with focus on cloud platforms
Work EnvironmentCollaborates with development and operations teams, manages CI/CD pipelinesDesigns and implements cloud infrastructure, manages cloud resources
Employer & Industry UsageTech companies, startups, enterprises focusing on deployment automationCloud service providers, SaaS companies, organizations migrating to cloud

Remote Devops and Remote Cloud Engineer roles share many certifications and work environments, but Devops focuses on automation and deployment pipelines, while Cloud Engineers specialize in cloud infrastructure design and management. Both are in high demand across tech industries, often overlapping in skills and responsibilities.

Can you work as a remote DevOps?

Yes, many DevOps roles can be performed remotely, especially those focused on cloud infrastructure, automation, and software deployment. Remote DevOps positions often require strong skills in tools like Docker, Kubernetes, and CI/CD pipelines, along with good communication and collaboration abilities. However, some companies may prefer on-site presence for certain tasks or team coordination.

Is 40 too old to learn remote DevOps?

Age is not a barrier to learning or working as a remote DevOps engineer. Success depends on acquiring relevant skills such as scripting, cloud platforms, and automation tools, which can be learned at any age through online courses and hands-on practice.

What are the most commonly searched types of Devops jobs in Milpitas, CA?

The most popular types of Devops jobs in Milpitas, CA are:

What are popular job titles related to Remote Devops jobs in Milpitas, CA?

For Remote Devops jobs in Milpitas, CA, the most frequently searched job titles are:

What cities near Milpitas, CA are hiring for Remote Devops jobs?

Cities near Milpitas, CA with the most Remote Devops job openings:

Infographic showing various Remote Devops job openings in Milpitas, CA as of August 2026, with employment types broken down into 85% Full Time, 6% Part Time, and 9% Contract. Highlights an 73% Physical, 9% Hybrid, and 18% Remote job distribution, with an average salary of $146,730 per year, or $70.5 per hour.

DevOps (GitLab-based platform CICD 30*3 pipelines) (Remote)

Bitdeer Technologies Group

San Jose, CA โ€ข Remote

$54 - $74/hr

Full-time

Posted 7 days ago


Job description

About Bitdeer Technologies Group

Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/

Job Description

You are the paved road for every AI product we ship the CI/CD, IDP, and MLOps substrate that lets model teams deploy without opening a ticket.

Position Summary

Bitdeer is building an AI-operated GPU cloud, and the AI Cloud team ships the products on top of it. As Cloud Senior DevOps Engineer you build the paved road those products travel down: CI/CD, infrastructure-as-code, MLOps pipelines, and the Internal Developer Platform that lets model, data-science, and product teams deploy at speed without stepping around governance. You are the bridge between research and production, and the operator of the platform substrate the AIOps team plugs into.

Key Responsibilities
  • CI/CD & MLOps Pipeline Management: Design, implement, and maintain end-to-end CI/CD pipelines for both software applications and machine learning models. Automate build, test, deployment, and rollback processes to ensure seamless transitions from innovation to production.
  • Cloud-Native & AI Infrastructure: Build, optimize, and scale cloud-native infrastructure using Kubernetes (K8s) and Docker. Manage and provision specialized computing resources (e.g., GPU clusters) to support high-performance AI workloads and model inferencing.
  • High Availability Architecture: Take ownership of high-availability design in production environments. Implement disaster recovery (DR) strategies, self-healing mechanisms, capacity planning, and performance tuning to meet stringent business SLAs.
  • Infrastructure as Code (IaC): Champion IaC practices utilizing tools such as Terraform, Ansible, and Helm to achieve fully automated, reproducible, and auditable infrastructure provisioning across multiple cloud environments.
  • Observability & Monitoring: Architect and refine comprehensive monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK/EFK stack) to provide deep visibility into system health, application performance, and AI model metrics. Feed the AIOps substrate with clean, well-labeled telemetry.
  • Internal Developer Platform (IDP): Build the paved road that lets product, model, and data-science teams deploy without opening a ticket. Make golden paths so obvious that shortcuts feel harder than doing it right.
  • Cross-functional Collaboration: Work closely with R&D, Data Science, Security, and Business teams to streamline workflows, eliminate bottlenecks, and continuously elevate engineering efficiency.
  • Governance, Security & Compliance: Establish and enforce system stability and security standards. Manage release workflows, implement Zero Trust access controls, oversee secrets management, and ensure compliance (e.g., SOC2, ISO27001).
  • Incident Management & Resolution: Act as the technical lead during complex system anomalies and major incidents. Spearhead rapid troubleshooting, thorough RCA, and preventative remediation and turn each incident into an automation that stops the next one before it pages a human.
Basic Qualifications
  • Experience & Education: Bachelor's degree or above in Computer Science, Engineering, or a related technical field, with 5+ years of hands-on experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles.
  • Networking & OS: Expert-level knowledge of Linux operating systems and core networking principles (TCP/IP, DNS, HTTP, Load Balancing, VPCs).
  • Containerization & Orchestration: Deep mastery of Docker and Kubernetes orchestration, including a thorough understanding of underlying principles, cluster management, and production-level best practices.
  • Cloud Platforms: Proven proficiency in designing and managing infrastructure on major Public or Hybrid Cloud platforms (e.g., AWS, GCP, Azure, Alibaba Cloud), including multi-cloud and hybrid-cloud strategies.
  • Programming Skills: Strong coding and scripting capabilities in at least one major language (Go, Python, Shell, etc.) with a solid engineering-oriented mindset focused on automation and tooling development.
  • Domain Knowledge: Systematic and practical understanding of CI/CD methodologies, Infrastructure as Code (IaC), Observability paradigms, and Site Reliability Engineering (SRE) principles.
  • Soft Skills: Exceptional problem-solving abilities, sharp technical judgment, and excellent cross-team communication skills to effectively collaborate in a fast-paced, dynamic environment.
Preferred Qualifications (Plus)
  • AI/ML Infrastructure Experience: Familiarity with MLOps practices, model serving/inferencing frameworks (e.g., vLLM, TGI, Triton Inference Server), and experience managing GPU clusters for AI/ML workloads.
  • Large-Scale Systems: Proven track record working with large-scale distributed systems or high-concurrency environments (e.g., Fintech, Trading, Real-time processing, or AI platforms).
  • Platform Engineering: Hands-on experience in designing and building Internal Developer Platforms (IDP) to enhance developer autonomy and productivity.
  • Advanced Security: Deep familiarity with Zero Trust architecture, automated security testing (DevSecOps), and implementing strict compliance frameworks (e.g., SOC2, ISO27001).
  • Leadership: Prior experience acting as a Technical Lead, mentoring junior engineers, or managing DevOps teams.
  • AIOps Builder Mindset: You see incidents, tickets, and manual runbooks as source material for the next automation, not as steady-state work. You've either wired an LLM-driven code/config helper into a pipeline or have strong opinions on how to.
  • Paved-Road Philosophy: You think in golden paths and defaults, not policies; you'd rather make the right thing easy than write a doc scolding people for doing the wrong thing.

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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.