Job Description
This role is for one of our clients
Seniority level: Associate level
Min Experience: 10 years
Location: Bangalore
JobType: full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This role will serve as a Manager within Managed Risk , responsible for building and scaling internal platforms, tooling, and data-driven insights that improve developer productivity, operational maturity, and customer outcomes. The Senior Manager will lead an onsite engineering team based in Bangalore, India, working 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 manager for the Managed Risk team has a strong content/rules development skills (OVAL, SCAP), hands-on cloud experience (AWS, Kubernetes, Terraform), and deep familiarity with SDLC, brownie points if he is exposed to running with AI tools. They bring experience managing high-performing teams to improve quality of the product and strengthen the security content landscape as well as emerging AI/LLM technologies (AWS Bedrock Flows, Databricks MLFlow) for automating content generation from Vendors and also built inhouse. Familiarity with cybersecurity and Vulnerability Management / Exposure Management is essential and is a MUST, along with the ability to guide architecture, product roadmaps, and cross-functional collaboration across engineering and other functional areas.
Required Experience
10+ years of experience in software engineering roles with 2+ years in engineering leadership or management, including managing technical leads, developers.
Demonstrated experience building and scaling internal engineering tooling or platforms used by multiple teams.
Strong hands-on background in AWS cloud architecture, including distributed systems and data platforms.
Proven ability to define, implement, and operationalise engineering performance metrics and dashboards.
Preferred / Nice To Have
Familiarity with developer productivity, engineering excellence, or platform engineering domains.
Experience working directly with customers or customer-facing teams to translate needs into technical solutions.
