Engineering Manager

About the role

We are looking for an Engineering Manager to lead a multi-pod team of senior engineers across our cloud, data, and AI/ML practices. You will own delivery quality, engineering health, and people growth across two to four concurrent client engagements — typically a mix of GCP data platform builds, Looker/BI migrations, Elasticsearch/observability work, and our internal agentic AI products (Conversational BI, AIResolveX, Agentic QA).

What you'll do

• Lead 15–25 engineers across 2–4 concurrent engagements, balancing client commitments with engineer growth and bench utilization
• Run weekly delivery reviews using our engineering cockpit metrics across Delivery, Quality, and Health pillars (velocity, escape rate, on-call load, MTTR
• Own SOW-to-go-live execution: scoping inputs, milestone plans, risk registers, change orders, and stakeholder communication with client engineering leadership
• Partner with Pre-Sales on technical scoping for prospective deals — sizing, staffing models, and risk flags before SOWs go out
• Set and enforce the engineering bar across pods: code review standards, testing coverage, observability defaults, and production readiness checklists

What you need

• 5–9 yrs of experience
• Kubernetes
• Looker
• Elasticsearch
• GCP
• Machine learning
• BigQuery
• Any graduate

Good to have

• Root cause analysis
• Power BI
• SIEM
• Airflow
• dbt
• Tableau