~/gs-singh

Platform engineer

GS Singh

Resilient, automated, cost-aware platforms: security-first IaC and golden paths that cover people and agents — scoped access, sandboxes, and gates so agent-aided work stays reviewed, audited, and bounded on the path to prod.

Remote-friendly

Hiring for platform, cloud, DevOps, SRE, or AI-ready infrastructure? LinkedIn first.

About

I’m a platform engineer and DevOps/SRE practitioner focused on architecture and operations staying aligned as stacks evolve: observability, conventions, and release discipline that prevent drift before it becomes an outage.

I extend golden paths to agentic and AI-assisted work (RBAC-bound access, sandboxes, gates) and favor one delivery bar for application and ML-shaped workloads — with GPU- and quota-aware Kubernetes where teams run inference. Open to roles that value agent-safe platforms and pragmatic enablement.

Core stack

Quick keyword alignment — depth in roles and posts below.

  • AWS
  • Kubernetes / EKS
  • Terraform
  • Docker
  • CI/CD (GitHub Actions · Argo CD)
  • Python
  • Observability & SRE
  • IaC & policy gates
  • FinOps & quotas
  • Azure (design)
  • MCP & agent-safe patterns

Experience

Platform and cloud roles; top row — Uberflip → Pathfactory (one tenure).

  1. Nov 2021 — Present

    Cloud / Platform Engineer · AI enablement

    Pathfactory (acquired Uberflip) · B2B martech · Canada

    One continuous tenure: joined Uberflip; Pathfactory acquired Uberflip — same platform remit throughout. AWS architecture and operations, incident response and proactive reliability, and stack modernization including EKS and Aurora migrations and performance work (internal platform metrics). AI enabler for engineering: practical AI-assisted workflows with agent-safe guardrails—scoped access, review, and policy—so teams move fast while agent and human changes to prod stay audited and scoped.

    • AWS
    • EKS
    • Aurora
    • Platform
    • SRE
    • Martech SaaS
    • AI enablement
  2. Aug 2020 — Nov 2021

    Cloud Engineer

    Morgan Stanley

    Built an AWS orchestration framework using Infrastructure as Code and Policy as Code, cutting deployment time ~30% (approximate, from internal deployment metrics). Ran large-scale compute with auto-scaling (up to ~1000 cores) for demanding workloads.

    • AWS
    • IaC
    • Policy as Code
    • Auto scaling
  3. Sep 2018 — Jul 2020

    DevOps Engineer

    Concordia University

    Owned cloud infrastructure and IT support: AWS system design, operations, and first-line support for university services with focus on reliability.

    • AWS
    • Operations
    • Support
  4. Dec 2016 — Aug 2018

    Lead Developer · Cloud

    Auribises Technologies — India

    Android (Java) apps on AWS; led a team of 10. Managed AWS accounts, automated testing, and improved security posture for releases.

    • AWS
    • Java
    • Android
    • Leadership

Certifications

  • AWS Security — Specialty (2023)
  • AWS SysOps Administrator — Associate (2022)
  • AWS Solutions Architect — Associate (2021)
  • AWS Developer — Associate (2021)

Education

  • M.A.Sc., Applied Computer Science — Concordia University
  • B.Sc., Computer Science — Punjab Technical University, India

Writing

Recent posts on platform engineering, cloud, Kubernetes, and AI-ready infrastructure. Full archive on the blog.

Selected work

Platform delivery and automation — representative patterns for internal AI-assisted tooling with guardrails and agent golden paths (no proprietary repo links).

  • ai-apparatus — Cursor skills & MCP marketplace

    Fork-friendly marketplace for Cursor IDE skills and opt-in MCP servers: install script, session sync hook, credentials file → mcp.json injection, agent golden-path framing. Skills are examples—tune or replace for your org.

    Repository →
  • MySQL migration to Amazon Aurora

    Migrated a fragile on-prem Percona MySQL cluster that was impacting site stability. Parallelized dump/restore, Aurora performance insights, and query tuning for heavy workloads.

    Repository →

Contact

LinkedIn is the right place for recruiters and hiring teams — tell me what you’re hiring for and I’ll reply there first.

Hiring for platform, cloud, DevOps, SRE, or AI-ready infrastructure? LinkedIn first. For everything else, email is below.

Phone available on request after first contact.