# Engineering Manager

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-05-07

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of the Weekday's clients**

Min Experience: 10 years

Location: Bangalore

JobType: full-time

## Requirements

This position will function as a Manager within **Managed Risk**, tasked with developing and expanding internal platforms, tools, and data-driven insights to enhance developer productivity, operational maturity, and customer outcomes. The Senior Manager will lead an onsite engineering team located in **Bangalore, India**, collaborating closely with global engineering, product, and customer-facing teams to design systems and metrics that support a high-performing, AI-first engineering organization.

**Key Responsibilities**

The Managed Risk team manager should possess strong content and rules development skills (OVAL, SCAP), practical cloud experience (AWS, Kubernetes, Terraform), and a thorough understanding of the SDLC. Experience with AI tools is a valuable advantage. They will have a proven track record of managing high-performing teams to enhance product quality and strengthen the security content landscape, while also leveraging emerging AI/LLM technologies (AWS Bedrock Flows, Databricks MLFlow) for automating content generation from vendors as well as in-house development. A solid background in cybersecurity, specifically in **Vulnerability Management / Exposure Management**, is essential and non-negotiable. Additionally, the role requires the ability to guide architectural decisions, product roadmaps, and foster cross-functional collaboration across engineering and other departments.

**Required Experience**

At least 10 years of experience in software engineering roles, including a minimum of 2 years in engineering leadership or management positions, overseeing technical leads and developers.

Demonstrated expertise in building and scaling **internal engineering tools or platforms** utilized by multiple teams.

A strong hands-on background in **AWS cloud architecture**, encompassing distributed systems and data platforms.

A proven ability to define, implement, and operationalize **engineering performance metrics** and dashboards.

**Preferred / Nice to Have**

Familiarity with developer productivity, engineering excellence, or platform engineering domains.

Experience collaborating directly with customers or customer-facing teams to translate requirements into technical solutions.

### Skills

vulnerability and threat modeling experience, rule development, content development, vulnerability and threat modeling experience, OVAL.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/1AD18C2DC0/apply)

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