AI Cloud Senior DevOps Engineer at Bitdeer Technologies Group
Austin, TX
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Aug 11, 2026
Austin, TX
Nov 9, 2026
What this job asks for AI summary
A Senior DevOps/SRE engineer role on an AI Cloud team at a Bitcoin mining and AI infrastructure company. The position centers on building and maintaining CI/CD and MLOps pipelines, Kubernetes-based cloud-native infrastructure, and observability systems for AI-powered products. It suits an experienced engineer comfortable writing automation code, managing GPU clusters, and owning high-availability production environments across multi-cloud deployments.
Senior level · 5+ years · Bachelor's required · Full-time
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How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 12, 2026. It is a model, not a headcount.
Why we read it this way (7)
The company is headquartered in Singapore with data centers across multiple countries; no specific city or CBSA is given for this role, so metro and state fields are left blank. The role appears to be based outside the US (Singapore HQ context), so the US-based flag is set to false, though the posting does not explicitly state a work location.
Terraform, Ansible, and Helm are listed together in the IaC responsibilities section using 'such as' — they are treated as hard-gated IaC capability requirements per the section's required framing, with each named separately as they are distinct tools.
Prometheus, Grafana, and ELK/EFK appear in the responsibilities section as examples ('e.g.'). Prometheus and Grafana are listed under required responsibilities framing; ELK/EFK is listed as a preferred/alternative stack and marked accordingly.
Go, Python, and Shell are presented as interchangeable options ('at least one major language'); Go is listed as the primary with Python and Shell as alternatives.
AWS, GCP, Azure, and Alibaba Cloud are listed as interchangeable cloud platform examples under required qualifications; AWS is used as the primary with the others as alternatives.
AI/ML infrastructure experience (MLOps, vLLM/TGI/Triton, GPU clusters), large-scale distributed systems, platform engineering (IDP), advanced security (Zero Trust, DevSecOps, SOC2/ISO27001), and leadership/mentoring are all listed under 'Preferred Qualifications (Plus)' and marked accordingly.
The degree requirement is a Bachelor's degree or above in a technical field — equivalent experience is not offered as a substitute, so this is treated as a hard requirement.
Read the full posting
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