Remote Senior Platform Engineer — AI-Driven Cloud Systems

Jobgether

United States

Remote

USD 188,000 - 270,000

Full time

36 hours ago
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Benefits offered by this job

Remote work within the United States
Equity and cash bonuses
Medical benefits
Occasional travel to Brisbane, CA

Job summary

Jobgether seeks a Senior Staff Software Engineer, remote in the United States, to lead platform architecture and deliver scalable cloud-based infrastructure for data science, AI, and research workflows. You will mentor engineers and drive cost‑efficient, reliable systems, with occasional travel to Brisbane, CA.

You will own initiatives across data platforms, distributed compute, and LLM‑powered applications, partnering with data science and AI teams to advance life‑sciences workflows.

Qualifications

  • 12+ years of relevant software engineering experience, or equivalent.
  • At least 3 years leading complex, cross‑team initiatives, aligning stakeholders and enabling delivery.
  • At least 3 years building and operating production platforms using Infrastructure as Code on a public cloud (Azure or GCP).
  • Strong Python proficiency and experience with at least one additional high‑level language.
  • Deep understanding of Linux internals, networking, and virtualization with hands‑on troubleshooting.
  • Strong Kubernetes expertise including controllers, operators, CRDs, admission control, scheduling, autoscaling, service mesh, or multi‑cluster networking.
  • Governance, capacity planning, reliability, cost management, data processing, and storage.

Responsibilities

  • Shape the platform’s technical vision and roadmap in partnership with engineering and R&D leaders.
  • Build partnerships with domain experts and treat platform/data capabilities as products.
  • Design, develop, and operate scalable platform systems guiding architectural decisions.
  • Lead complex initiatives from planning through delivery and delegate effectively.
  • Support platform users by resolving complex technical issues and improving reliability and cost efficiency.
  • Champion AI adoption by helping teams apply useful AI tools and workflows.
  • Build infrastructure for secure, cost‑effective agentic workflows and LLM‑powered applications.
  • Improve cloud cost visibility and lead optimization initiatives while preserving performance.
  • Mentor engineers through technical pairing and design reviews.

Skills

Python
Kubernetes
Linux
Cloud Azure
GCP
Distributed systems
Architecture leadership
AI/ML collaboration

Job description

Jobgether seeks a Senior Staff Software Engineer, remote in the United States, to lead platform architecture and deliver scalable cloud-based infrastructure for data science, AI, and research workflows. You will mentor engineers and drive cost‑efficient, reliable systems, with occasional travel to Brisbane, CA.

You will own initiatives across data platforms, distributed compute, and LLM‑powered applications, partnering with data science and AI teams to advance life‑sciences workflows.

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