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Software Engineering Technical Leader

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Software Engineering Technical Leader in Others new

  • Bengaluru, India

Responsibilities

  • Design and build secure, scalable infrastructure and developer platforms with security controls embedded by default.
  • Harden Kubernetes control planes, GitOps systems, CI/CD pipelines, observability stacks, and internal tooling.
  • Drive Zero Trust through workload identity, continuous verification, and micro-segmentation.
  • Own the reliability and security posture of secrets management, PKI, and IAM governance.
  • Lead cross-team incident response and blameless post-mortems that produce permanent engineering fixes.
  • Automate security and compliance using policy-as-code and automated evidence collection.
  • Set technical direction and advise engineering leadership on security, velocity, and reliability trade-offs.

Requirements

  • Bachelor's degree plus 12 years of related experience, master's degree plus 8 years, or PhD plus 5 years.
  • At least 5 years of production experience operating and scaling AWS, Azure, or GCP, including cloud security posture ownership.
  • At least 3 years building production automation and tooling in Python and/or Go for security use cases.
  • At least 5 years applying SRE practices, including SLIs, SLOs, error budgets, incident command, and post-mortems.
  • At least 5 years applying production security fundamentals including threat modeling, secure-by-default architecture, least privilege, workload identity, secrets and certificate lifecycle management, and vulnerability management.
  • Preferred experience with Kubernetes security, RBAC, NetworkPolicies, Pod Security Standards, admission controllers, image signing, control-plane hardening, and service mesh mTLS.
  • Preferred experience with Terraform, OPA, Kyverno, Checkov, tfsec, ArgoCD or Flux, and CI/CD security gates.
  • Preferred experience with Falco, eBPF-based detection, SIEM, CSPM/CNAPP platforms, Prometheus, Grafana, and OpenTelemetry.
  • Preferred experience securing AI/ML workloads and MLOps pipelines and applying AI/LLM capabilities to security automation.
  • Security certifications such as CISSP, CCSP, or AWS Certified Security – Specialty are preferred.

Cisco

Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communit...

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