SDE3, Infrastructure Security Engineer (DevSecOps)

present of AI; Bengaluru; Presencial; INR 3.000.000 - 5.500.000; Jornada completa

Descripción de la vacante

Sarvam AI in Bengaluru is seeking an SDE3 Infrastructure Security Engineer (DevSecOps) to blend hands-on security engineering with automation inside the infrastructure team. You will build guardrails and detection pipelines to ensure secure software shipping and runbooks for incidents.

A strong candidate has Kubernetes and Linux skills, Terraform and GitOps experience, and a track record of policy checks and audits; preferred in bank/fintech/payments settings.

Formación

• Hands-on security engineering with automation in infrastructure.
• Solid Kubernetes and Linux skills; Terraform and GitOps experience.
• Track record of writing policy checks, secrets rotation and detection pipelines.
• Experience in bank/fintech/payments, audits, and setting engineering standards.

Responsabilidades

• Build automation to integrate security into software delivery.
• Design guardrails and audit trails for AI-enabled infrastructure.
• Lead security testing and incident response in CI/CD.

Conocimientos

Kubernetes

Linux

Policy as code

Secrets rotation

Detection pipelines

Audit readiness

Herramientas

Terraform

GitOps

Kubernetes

Descripción del empleo

SDE3, Infrastructure Security Engineer (DevSecOps)

Engineering Bengaluru FullTime Senior level

This is a hands-on security engineering role that sits inside the infrastructure team and focuses on building automation that makes security part of how software ships. It asks for solid Kubernetes and Linux skills, experience with Terraform and GitOps, and a track record of writing policy checks, secrets rotation and detection pipelines. A strong candidate has spent real time in a bank, fintech or payments setting, has been through audits, and can set standards that other engineers actually follow.

How it fits the AI era

AI agents are being built into daily infrastructure work here, such as reviewing changes, sorting alerts and drafting incident timelines. That shifts the job toward designing guardrails and checking what the agents do, instead of doing every triage step by hand. Judgment on risk, incident leadership, audit conversations and deciding what counts as secure stay with people.

How it builds AI experience

The role offers practical experience using language models to sort security findings, review infrastructure changes and tune detections, plus the harder task of securing the agents themselves with narrow permissions and audit trails. For a company running AI for Indian languages across several clouds, including Indian sovereign ones, that means learning how AI workloads and AI helpers are protected at real scale. Someone short on this can start by building a small agent that triages scanner results with read-only access and logged actions, and testing it against prompt injection.

Worth showing

• Policy-as-code in CI/CD
• Kubernetes security hardening
• Secrets and workload identity
• Runtime detection and response

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Sarvam AI

Sarvam AI builds a full-stack sovereign AI platform for Indian languages, developed, deployed, and governed entirely in India (per the company).