SRE Architect

Responsibilities CORE RESPONSIBILITIES Define the platform SRE, DevSecOps, and security strategy - spanning architecture, toolchain selection, and operational standards. Design for high availability, scalability, resilience, and disaster recovery across all platform tiers and deployment regions. Establish observability, monitoring, logging, and incident management - own the full telemetry stack from instrumentation to alerting to post-mortems. Govern security architecture, IAM, secrets management, and compliance - ensure the platform meets SOC 2, ISO 27001, and customer-specific security requirements. Define CI/CD pipelines, infrastructure automation (IaC), and operational runbooks; drive adoption of GitOps and policy as-code practices. Drive performance engineering and capacity planning; own SLOs, SLIs, and error budgets across all platform services. Partner with the Technical Architect and FDE leads to embed reliability and security earlier in the development lifecycle Lead incident response, blameless post-mortems, and reliability reviews; translate learnings into platform improvements Requirements MUST-HAVE SKILLS & EXPERIENCE 12+ years in SRE, Platform Engineering, Cloud Infrastructure, or Cloud Security roles at enterprise or hyperscale scale. Expert-level Kubernetes: multi-cluster operations, operator patterns, network policies, pod security, and cluster hardening. Deep cloud-native expertise across AWS, Azure, or GCP: VPC design, IAM, KMS, secrets management (Vault/AWS Secrets Manager), and cloud security posture management. Strong DevSecOps practice: SAST/DAST tooling, container image scanning, SBOM, supply chain security, and secure CI/CD pipeline design. Observability stack mastery: Prometheus, Grafana, OpenTelemetry, distributed tracing (Jaeger/Tempo), log aggregation (ELK/Loki), and AIOps-ready alerting. Infrastructure-as-Code proficiency: Terraform, Pulumi, or CDK; GitOps with ArgoCD or Flux; policy-as-code with OPA/Kyverno. Proven experience defining and operating SLOs, error budgets, and on-call practices in a high-stakes production environment Nice-to-have Skills Experience operating AI/ML platforms at scale - GPU cluster management, model serving infrastructure (vLLM, Triton), and LLM observability. Compliance and audit experience: SOC 2 Type II, ISO 27001, GDPR, or telecom-specific security frameworks (NIST Chaos engineering practice: Chaos Monkey, LitmusChaos, or equivalent - running Game Days and failure injection exercises. Telecom infrastructure context: network function virtualisation (NFV), cloud-native network functions (CNF), or 5G core platform operations. MINDSET & BEHAVIOURS Reliability-first - treats every architectural decision through the lens of what fails, how it fails, and how fast you recover. Security-by-design - embeds security into the platform architecture, not bolted on post-deployment; champions zero trust principles. Data-driven operator - SLOs and error budgets are the language; makes reliability trade-offs with evidence, not intuition. Platform enabler - builds systems and tooling that make every other engineer faster and safer; infrastructure as a product. Preferred Qualifications B.S. / M.S. in Computer Science, Systems Engineering, or equivalent; CKS (Kubernetes Security), AWS Security Specialty, or CISSP a strong plus. Experience building and operating large-scale SaaS or enterprise products with 99.99%+ availability commitments. Track record leading SRE or platform functions in a telecom, fintech, or cloud-native software company Compensation: 634,401.85 - 2,079,151.76 per year Work Location: In person .