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Platform Engineer

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: GlobalDots
Full Time position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Town of Poland

Global Dots is a global cloud and web innovation company, helping more than 1,000 enterprises modernize, secure, and optimize their digital infrastructure for over 20 years.

We work with a portfolio of 100+ advanced technologies across cloud security, performance, Dev Ops, cloud cost optimization, corporate IT, and AI. Our role is to help customers identify the right technology, implement it successfully, and operate it with confidence.

We are a value-added reseller and managed service provider with a strong focus on execution. Our in-house team has the technical expertise to deliver everything we offer.

Role Summary

We are looking for a senior-level Platform Engineer who can lead complex platform transformation programs end-to-end.

This person should be equally strong in architecture, hands‑on implementation, and technical leadership. They must be able to modernize legacy systems, design and build migration and automation pipelines, and guide teams through technically risky change with strong validation discipline.

Work involving platform modernization, security, and content‑delivery transformation, enterprise‑level systems, API‑driven automation, infrastructure integration, and production readiness.

What You’ll Do:
  • Assess enterprise platforms and build target‑state architecture.
  • Break large transformation efforts into staged, low‑risk delivery phases.
  • Build automation tools for discovery, platform migrations, and observability.
  • Troubleshooting issues across the full migration/onboarding chain
  • Establish repeatable quality gates with tests, syntax checks, validation scripts, and operational evidence.
  • Work with customers through ambiguous technical work and improve delivery practices across the team.
Your core capabilities are:
  • Platform modernization and migration strategy
  • Strong automation engineering (any language - GO, Python, JS)
  • Cloud Security, Web performance (CDN), and application delivery knowledge
  • Infrastructure and configuration transformation experience
  • Systems debugging across multi‑stage pipelines
  • Technical leadership and cross‑team coordination
  • Strong documentation and observability mindset
  • AI‑assisted engineering with rigorous review and verification.
Required Experience:
  • 3+ years in software engineering, platform engineering, infrastructure engineering, or Dev Ops roles
  • Proven hands‑on experience building internal tools, migration frameworks, or platform automation
  • Experience working with cloud platforms, infrastructure APIs, and config‑driven systems
  • Experience leading technically complex initiatives across engineering, operations, security, and platform teams
  • Strong judgment in legacy‑system analysis, risk management, and phased rollout planning.
AI Knowledge We Expect:
  • You should be able to use AI to speed up code exploration, debugging, refactoring, documentation, and draft implementation.
  • Have experience with AI Agents/IDE - Cursor, Codex, Opencode, etc
  • Have Familiarity with skills, tools, handling context, and design agent workflows
  • Write precise prompts for technical analysis and transformation work.
  • Critically review AI output for correctness, safety, and hidden assumptions.
  • Create validation‑first workflows so AI‑generated work is always checked with deterministic evidence.
  • Help a team adopt AI‑assisted engineering without reducing code quality or operational safety.
What Will Help You Succeed In This Role:
  • You are pragmatic and delivery‑oriented.
  • You can structure ambiguous work into clear phases and checkpoints.
  • You communicate clearly with both engineers and non‑engineering stakeholders.
  • You care about maintainability, operational clarity, and reducing risk during change.
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