Senior Platform Optimization & Observability Engineer
Posted bythe hiring team· 17 days ago
- Location
Posted bythe hiring team· 17 days ago
Senior Platform Optimization & Observability Engineer
USD 76,437 – USD 101,916
Mid-range for DevOps
Be among the first applicants
Verified team
HR-vetted before going live.
Transparent pay
Salary stated upfront.
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About this role
Tech stack:
ELK stack (observability, APM, security)
VMware, Hyper‑V, KVM / Proxmox
Log Analytics (migration source)
Monitoring and alerting platforms
Requirements:
Hands‑on experience optimizing virtualization platforms
Strong storage performance and capacity optimization skills
Experience with platform security hardening
Deep operational experience with ELK stack
Experience migrating dashboards, queries, and reports from Log Analytics
Strong understanding of DR optimization and recovery metrics
Nice to have:
Compliance scanning tools (CIS)
SOC 1 / SOC 2 / C5 familiarity
Sentinel rule migration experience
Experienced in using AI tools in day-to-day workflow
Project description:
You will own platform health, optimization, and the observability stack in a complex enterprise environment. The project focuses on improving platform performance, security posture, DR effectiveness, and migrating monitoring and security capabilities to a new observability platform.
Main responsibilities:
Optimize virtualization and storage platforms
Expand observability with APM and security capabilities
Migrate monitoring and security assets from Azure tooling
Optimize logging, alerting, and retention strategies
Review and improve DR and firewall configurations
Collaborate with network and security engineers
The Senior Platform Optimization & Observability Engineer role with the hiring team offers USD 76,437–101,916 per year. Salary information is published as part of every JobRemotely listing so candidates can self-screen before applying.
Yes — the hiring team has marked this Senior Platform Optimization & Observability Engineer role as open to candidates based in Poland. Eligibility requirements are surfaced in the JobPosting structured data on the listing.
The hiring team uses the JobRemotely structured hiring pipeline: candidates apply through the listing, complete a paid test task or screening, and only then proceed to interviews. This skips the resume black hole and respects everyone's time.
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