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Senior Platform Security Engineer - AI Resilience & Security Enhancements (Contract)

Jobgether

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12 open enhancements roles across 3 companies are on ApplySarthi right now.

What enhancements roles keep asking for: Supply chain (92%), AWS (83%), CI/CD (83%), IAM (83%), Kubernetes (83%), Terraform (83%), GCP (58%), Go (58%) — counted across their open postings here.

Remote Platform Security Engineer jobs · AWS jobs · CI/CD jobs · GCP jobs · Go jobs

Jobgether has 4,307 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Interviews for enhancements roles keep coming back to Supply chain, AWS, CI/CD, IAM. Practise those questions before you sit with Jobgether.

Questions you are likely to be asked

  1. Why do you want to join Jobgether?
  2. What is your experience with CI/CD? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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Accountabilities: Design, evaluate, and implement controls for secure autonomous AI agent execution, including policy enforcement, permissions, sandboxing, execution isolation, and auditability. Integrate security checks into CI/CD pipelines and pull request workflows to identify vulnerable or unsafe code changes before they are merged. Evaluate conventional security tools and AI-assisted code security approaches, assessing detection accuracy, false positives, potential bypasses, and developer usability. Strengthen production access controls through least-privilege permissions, secure privileged-access pathways, session controls, and comprehensive audit trails. Adapt engineering tools and workflows to support secure, controlled access to production environments. Improve CI/CD and software supply chain security through secure builds, dependency and container scanning, provenance, artifact signing, software bills of materials (SBOMs), and policy enforcement. Develop practical security automation and platform guardrails that engineering teams can adopt, operate, and maintain. Collaborate directly with software engineers on technical design, prototyping, implementation, and the integration of security improvements into production systems. Contribute to broader security engineering initiatives, partnering with specialist teams when deeper domain expertise is required. Produce clear technical documentation, implementation guidance, and handover materials to support long-term ownership. Deliver changes through structured, low-risk implementation practices while preserving service availability and operational stability. Requirements Strong hands-on experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), DevSecOps, or Platform Security, supported by solid security fundamentals. Demonstrated experience designing and implementing security controls directly, rather than focusing solely on reviews, assessments, or reporting findings. Strong understanding of CI/CD pipelines, modern software delivery practices, and integrating security into developer workflows. Good knowledge of software supply chain security, including dependency management, secure builds, provenance, artifact signing, and vulnerability management. Understanding of identity and access management (IAM), role-based access control (RBAC), and least-privilege principles. Practical experience with container security and working knowledge of Kubernetes. Ability to write automation, scripts, or security tooling in a programming language; Go or Python experience is useful, with a willingness to work in Go where required. Experience collaborating with engineers to deliver practical security enhancements in production environments. Strong communication, technical documentation, and problem-solving skills, with the ability to explain security decisions and work effectively across teams. Desirable experience includes: Terraform or other Infrastructure as Code (IaC) tools. Public cloud platforms such as AWS or Google Cloud Platform (GCP). Security automation, policy-as-code, or automated policy enforcement. Container and runtime isolation, sandboxing, or related execution security controls. Securing AI agents or other AI-enabled engineering tools, including using large language models (LLMs) for security analysis or automation. Threat modelling and security design practices. Mutual TLS (mTLS), public key infrastructure (PKI), cryptography, or key management. Working in regulated industries, financial services, or other business-critical environments. Relevant technical environment: Go, Python, CI/CD, Kubernetes, Terraform, AWS, GCP, IAM, RBAC, software supply chain security, security policy automation, and AI security controls. Benefits Contract-based engagement focused on a high-impact security and resilience programme. Hands-on ownership of security controls across AI-enabled engineering workflows, cloud infrastructure, and software delivery. Close collaboration with experienced engineering, platform, and security specialists. Opportunity to shape practical security tooling, automation, and secure engineering practices in a business-critical environment. Remote working arrangement following an initial in-person office visit to collect the equipment required for the role. Opportunity to work on modern technologies spanning AI security, cloud-native platforms, CI/CD, and software supply chain protection.

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Listed on lever · posted 2026-10-26. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.