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Maciej Kalisiak


Professional Summary

Generalist SWE with 18 years of Google experience, spanning:

  • Solid record as Individual Contributor (L4–L6) and Technical Lead Manager (TLM)
  • 3 Google Product Areas: Ads, GKE/Kubernetes, and Gmail
  • IC focus: high-reliability, high-scale distributed systems, Observability, Debuggability
  • TLM focus: bootstrapping high-performing teams, operational excellence
  • AI focus: leveraging LLMs for explaining inherited code, code gen, automating toil

Professional Experience

Gmail Backend Infrastructure Nov 2022 – Current

Staff Engineer (L6) – TLM, IC

  • Managed team of 7 in 6mo+ effort modernizing our prod deployment layout.
  • Drove Incident Response in a handful of critical (SVP+ visibility) outages; in particular:
    • Led team to:
      • deploy Google's load-shedding technology across all our key binaries (6)
      • simplify approach by turning down & eliminating outdated, complex stack feature
    • (IC) Designed & rolled out a quick'n'dirty loadtest framework to reproduce the detected spam attack vector, confirming robustness of our mitigations.
    • (IC) Designed & implemented biasing mechanism into our store-and-forward architecture
  • (IC, sideproject) Modernized Gmail's primary (but very aged) debugging tool: rapid implementation in Colab notebook, added new features, Gemini-integration.
  • Drove a variety of latency improvements, as well as better measurement; collaborated with our SREs on implementation & debugging of latency SLOs for our service.
  • Executed broader team toil reduction initiatives, including tracking & analysis of our Release and OnDuty rotations time spend, retiring low value testing infra, merging rotations.
  • Took over & rolled out complex but launch-critical application licensing work; executed across 4+ layers of teams, escalations, debugging of the underlying brittle infrastructure.
GKE / Kubernetes Jan 2019 – Oct 2022

Staff Engineer (L6) – TLM

  • Team Growth & Management:
    • Instrumental in growth and leadership of the first GCP team in the Waterloo office. GCP now has several hundred engineers in Waterloo.
    • Partnered w/Senior Leadership to rapidly grow GKE team in Waterloo.
    • Onboarded and ramped-up 2 new managers, off-loaded reports (reached ~17 reports for 5+ months).
    • Critical leader who navigated unique challenges: COVID, performance issues, culture friction between employees and externally hired leadership.
    • Rapidly built & led a strong team for Anthos Observability in response to sudden mandate; high team promotion rate (~80%).
  • Observability Team Leadership:
    • Team took on mandate to build and enhance observability through all layers of GKE; built event collection & repository, Datadog-inspired visualization.
    • Took over Anthos Observability (monitoring, metrics, and logs) from the disbanded Stackdriver team; reworked as a common solution across OnPrem, OnBareMetal, and OnAWS.
    • Grew to include lower-level Kubernetes observability after absorbing scope from sister team.
    • Visualization of Cluster History in Pantheon.
Google Ads / Display Ads Mar 2008 – Dec 2018

Senior/Staff Software Engineer (L4–L6) / TLM

  • Next-gen Serving System:
    • Designed and rebuilt the overall control flow structure (FSM) of central "mixer" service.
    • Re-implemented the overall ad targeting flow logic, to parallelize calls to ad exchanges and real time bidders.
    • Led design & reimplementation of a more light-weight "targeting signal" computation, to better fit real-time bidder deadlines.
    • Owned the entire next-gen launch: experimentation, validation, and production rollout.
    • Led team (design, implementation) to devise a turn-key solution for quickly building & introducing further ad provider services (used for AdSense Direct Sales & X-Ads).
  • Data Architecture & APIs:
    • Co-designed and implemented the API, architecture, plumbing for data about the Publisher.
    • Co-designed the unified API for representing which ads won (originally highly heterogeneous, esp. between auction & reservation systems).
    • Designed & induced a more structured form for our central ad request/response API (initially mostly flat "kitchen sink").
  • Ads Experiments Infra (production-live A/B experimentation system handling trillion events/day): Modernized through flag API update, introduced file-valued flags, better dashboards.
  • Skunkworks team: pursued a number of experimental but critical issues:
    • Developed emergency release procedure & tooling to bring down cherry-pick binary push process from ~8h to ~1h.
    • Tool for correlating prod anomalies with system changes (e.g., binary release, experiments).
  • Compliance:
    • Designed & implemented frequency capping for mobile ads.
    • Ensured COPPA compliance of our team's primary servers.
    • Implemented Gambling advertiser blacklisting.

Education

Computer Science | Ph.D. – University of Toronto, 1999–2007

Computer Engineering | M.A.Sc. – University of Toronto, 1997–1999

Electrical Engineering | B.A.Sc. – University of Waterloo, 1992–1997

Skills

  • Languages: Python, C++, Go, SQL; familiar with: Java, Javascript, LISP, Haskell, Lua
  • Methodologies: A/B Experimentation, A/B prod diff validation, CI/CD pipelines, Agile, Microservices architecture
  • Data analysis: Colab (Jupyter Notebook), R
  • Tooling: Google Cloud, Kubernetes, Docker, GitHub, Git, Fig, Linux
  • AI: Claude Code, gemini-cli, NotebookLLM

References available upon request.