Cloud Engineer Jobs in San Jose, CA
Cloud Engineer jobs in San Jose, California are concentrated in the North San Jose tech corridor, Downtown, and the Santana Row and West San Jose commercial zones, driven by demand in enterprise software, semiconductors, cloud infrastructure, and cybersecurity. Employers actively hiring right now include Hewlett Packard Enterprise | HPE, Adobe, and Google. Scan the live roles below and apply to whichever ones fit.
Find Cloud Engineer JobsOverview
Showing 3 of 308+ Cloud Engineer jobs







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/
Position Summary:
We are seeking a highly skilled and motivated Cloud Senior DevOps Engineer to join our AI Cloud team. In this high-impact role, you will be the backbone of our deployment and infrastructure operations, ensuring that our AI-powered products and platforms are delivered with speed, security, and exceptional reliability. You will act as a crucial bridge between our research/development teams and real-world deployment, driving automation, optimizing cloud-native architectures, and establishing best practices for MLOps and traditional DevOps workflows.
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.
- Cross-functional Collaboration: Work closely with R&D, Data Science, Security, and Business teams to streamline workflows, eliminate bottlenecks, and continuously elevate engineering efficiency through Internal Developer Platforms (IDP) and Platform Engineering initiatives.
- Governance, Security & Compliance: Establish and enforce robust system stability and security standards. Manage release workflows, implement Zero Trust access controls, oversee secrets management, and ensure compliance with industry frameworks (e.g., SOC2, ISO27001).
- Incident Management & Resolution: Act as the technical lead during complex system anomalies and major incidents. Spearhead rapid troubleshooting, conduct thorough root cause analysis (RCA), and implement preventative remediation plans.
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.
-
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.
See All 308+ Cloud Engineer Jobs in San Jose
Find roles in San Jose that match your experience and apply in just a few clicks.
Find Cloud Engineer JobsCloud Engineer Job Market in San Jose
Who's Hiring
- Hewlett Packard Enterprise | HPE41

- Adobe31

- Google31

- ByteDance31

- NetApp21

Top Industries Hiring
- Technology & Software72
- Manufacturing21
- Social Media10
- Media & Entertainment10
Cloud Engineer Jobs in San Jose: Frequently Asked Questions
How do I get a cloud engineer job in San Jose?
Focus your search on San Jose's North San Jose tech corridor and the downtown enterprise cluster, where cloud infrastructure, platform engineering, and DevSecOps roles are most active. Semiconductor and chip design firms around the Alviso and Great America areas also hire cloud engineers to support internal platforms. Hands-on experience with multi-cloud environments and infrastructure-as-code tools gives candidates a measurable edge in this market.
Which companies hire cloud engineers in San Jose?
Companies currently hiring cloud engineers in San Jose include Hewlett Packard Enterprise | HPE, Adobe, and Google, per current listings on Migrate Mate as of August 2026. San Jose's employer mix skews toward large enterprise tech firms, semiconductor companies, and high-growth SaaS businesses, many of which maintain sizable internal cloud platform teams rather than outsourcing infrastructure work.
Are there remote cloud engineer jobs in San Jose?
Yes, cloud engineering is among the more remote-compatible technical roles because most of the work involves configuring and managing infrastructure through code and cloud consoles rather than on-site hardware. About 56% of cloud engineer openings tied to San Jose are remote or hybrid as of August 2026, with fully remote positions most common in platform engineering and cloud architecture roles at San Jose's larger enterprise employers.
How can I get a cloud engineer job in San Jose with little or no experience?
The most realistic entry path in San Jose is targeting cloud operations or junior site reliability engineering roles at mid-size SaaS companies in the North San Jose corridor, which hire earlier-career engineers more readily than large semiconductor firms. Certifications in AWS, Azure, or Google Cloud carry real weight with local hiring managers. Lateral moves from system administration or network engineering into cloud support roles are common and well-recognized locally.
Which industries hire the most cloud engineers in San Jose?
Most cloud engineer openings in San Jose sit in Technology & Software, Manufacturing, and Social Media, per current listings on Migrate Mate as of August 2026. San Jose's position as the core of Silicon Valley means enterprise software and semiconductor companies maintain some of the largest internal cloud teams in the country, driving consistent and high-volume local hiring for these roles.
Related Jobs in California
See All 308+ Cloud Engineer Jobs in San Jose
Find roles in San Jose that match your experience and apply in just a few clicks.
Find Cloud Engineer Jobs