Lead Software Engineer

Virtusa Corporation; México; Remote; MXN 600,000 - 1,000,000; Full time

Job summary

Virtusa in Mexico (remote with Pacific Time Zone alignment) is seeking a Senior Software Developer (Tier III) for the Google Cloud Platform (GCP) BigQuery D3E capacity management and presubmit friction reduction project. The role focuses on owning non-production infrastructure capacity, CI pipeline optimization, and automated bug triage for 300–500 BigQuery instances.

You will work across multi-cell and multi-region environments, driving automation to eliminate toil and deliver durable

Responsibilities

• Own the capacity management, monitoring, and remediation of resource stockouts across BigQuery D3E environments.
• Improve automated test quarantine system and triage BigQuery infrastructure bugs.
• Transition daily operations from reactive toil to proactive system architecture for engineering excellence.

Job description

Role Overview

Project Name: D3E Capacity Management and Presubmit Friction Reduction

Vertical / Team: Google Cloud Platform (GCP) / BigQuery Developer Experience & Engineering Excellence (D3E) Role

Level: Software Developer – Tier III (8+ Years of Experience)

Duration: 6 Months

Target Start Date: September 1, 2026

Location: Mexico (Remote with strict Pacific Time Zone alignment)

Work Schedule: Standard Business Hours (Pacific Time Zone), with occasional flexibility required to address critical infrastructure outages.

Position Purpose The BigQuery Infrastructure team is seeking a Tier III Senior Software Developer to take full engineering ownership of non-production infrastructure capacity management, CI pipeline optimization, and bug triage automation. This is not a manual task-management role. You will manage approximately 300 to 500 BigQuery instances encompassing full stacks across multi-cell and multi-region environments (dev stacks, presubmit, continuous, and nightly builds). Your primary mission is to eliminate significant engineering toil for the core SWE team by building durable, automated engineering solutions rather than relying on manual workarounds.

Key Responsibilities

• Capacity Management & Mitigation Engineering Own the operational monitoring, tracking, and remediation of resource stockouts across BigQuery D3E environments. Actively track cell-level capacity headroom, evaluate pool resourcing stockouts, and manage job sprawl. Execute structured mitigations using tools like Cellmate or Flex API, shifting Devices Under Test (SUTs) and workloads between regions and cells to maintain non-production environment health. Maintain and update infrastructure configurations to support new feature requirements. Proactively engineer automation to predict and prevent stockouts, and manage tier-escalations to SRE or owning teams when standard mitigations are exhausted.
• Presubmit Friction Reduction & Bug Triage Improve the automated test quarantine system to drive down slow, flaky, and quarantined tests. Own the triage process for incoming BigQuery infrastructure bugs, bridging communication effectively with bug owners. Analyze complex distributed systems to determine root causes and ensure issues are routed to the appropriate teams efficiently.
• Innovation & Engineering Excellence Transition daily operations from reactive toil mitigation to proactive, durable system architect