Engineering Manager

Weekday AI


Date: 4 weeks ago
City: Bengaluru, Karnataka
Contract type: Full time

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.

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