5 platform developer jobs at 4 companies in Oneonta, NY
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IT Cloud Engineer Server Platform
Rochester or Binghamton or Buffalo or Utica or DeWitt or Albany
$79k-$198k/yrOnsiteFull Time
The Lifetime Healthcare Companies: Provides health insurance and healthcare services in New York.
Design, deploy, and maintain hybrid cloud and on-prem infrastructure; scripting/automation; virtualization and cloud platform expertise; technical documentation and stakeholder collaboration.
Rochester or Binghamton or Buffalo or Utica or DeWitt or Albany
$79k-$198k/yrOnsiteFull Time
The Lifetime Healthcare Companies: Provides health insurance and healthcare services in New York.
7+ YOEDesign and deploy hybrid cloud and on-prem infrastructure, automate and script deployments, support virtualization and DR, ensure security and compliance; experience with cloud platforms and infrastructure tooling.
Rochester or Binghamton or Buffalo or Utica or DeWitt or Albany
$79k-$198k/yrOnsiteFull Time
CDPHP: Not-for-profit health plan offering managed care and insurance.
Experience designing, deploying, and operating hybrid cloud and on-prem infrastructure; scripting and automation; virtualization and server administration; strong communication and documentation skills; ability to travel and participate in on-call rotation.
WolfspeedNYSE: WOLF: Manufactures silicon carbide and GaN semiconductors for power systems.
10+ YOEBS/MS/PhD in EE, Chemical Engineering, or Materials Science; 10+ years semiconductor experience in dielectric and/or metal etch; experience with 200mm Applied Materials platform a plus; strong SPC, FDC, root-cause analysis, technical writing and presentation skills.
New York or Wisconsin or Georgia or New Jersey or Highland Park or Punta Gorda or Tennessee or Pennsylvania or Kentucky or Ohio or Indiana or Keswick
RemoteFull Time
M2S Group: Manufacturer of engineered coatings and specialty print media.
8+ YOE8+ years in software or data architecture with 4+ years focused on ML systems; deep cloud platform expertise; experience designing production ML pipelines, MLOps, model monitoring, and LLM/GenAI architectures.