Software Engineering PMTS - Cloud Security - Hyderabad

Overview

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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Come join our growing Hyperforce Enterprise Security organization. We are chartered with architecting, implementing, and operating security solutions that protect Salesforce’s complex, multi-cloud technology landscape at scale.

As a Principal Member of Technical Staff, you will provide technical leadership in building the next generation of infrastructure security and developer security guardrails. You will work across the software development and deployment lifecycle to identify security risks early, build scalable controls, and enable secure-by-default engineering practices without compromising developer velocity.

Our team operates at the intersection of cloud security, application security, infrastructure security, DevSecOps, Kubernetes, CI/CD, and runtime security. We build and operate security guardrails that identify and prevent high-risk security issues from source code and Infrastructure as Code through CI/CD and into runtime environments.

You will be expected to operate at both strategic and hands-on technical levels, defining architecture and technical direction while also diving deeply into complex engineering problems, writing production-quality code, and driving solutions from concept through deployment and operation.

This role is an opportunity to shape security capabilities that operate at significant scale across Salesforce infrastructure and to influence how security is embedded throughout the engineering lifecycle.

Responsibilities

• Act as a technical leader and subject matter expert for infrastructure security and security guardrails, providing architectural direction across teams.
• Design and build scalable shift-left security capabilities that identify security risks in source code, Infrastructure as Code, containerized workloads, and deployment configurations before they reach production.
• Architect and build shift-left security controls that identify security risks early while providing developers with actionable findings and straightforward remediation paths.
• Design scalable policy-as-code and security enforcement frameworks for consistent security controls across multiple gates and environments.
• Drive risk-based security engineering by identifying exploitable, high-impact, and meaningful security risks rather than treating all scanner findings equally.
• Design mechanisms for security finding correlation, prioritization, deduplication, and enforcement when signals originate from multiple security systems.
• Lead architecture and implementation of Kubernetes admission control and workload security capabilities.
• Define technical strategies for reliability, scalability, performance, observability, fault tolerance, and operational readiness of security services.
• Establish and evolve SLIs, SLOs, telemetry, rollout strategies, and operational practices for critical security services.
• Own technical outcomes across the complete lifecycle — requirements, architecture, implementation, testing, deployment, production readiness, rollout, and ongoing operations.
• Continuously identify opportunities to improve security coverage, automation, detection quality, enforcement, and developer experience.
• Establish engineering standards and best practices for reliability, scalability, observability, testing, and operational readiness of security services.
• Mentor senior engineers and raise the technical bar across the organization.
• Influence technical strategy and roadmap decisions across teams and drive initiatives from concept through production.
• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
• Critically evaluate code (human o