Senior Site Reliability Engineer / Technical Architect

Job summary

Seeking a highly experienced Senior Site Reliability Engineer / Technical Architect with strong hands-on expertise in cloud infrastructure, Kubernetes, platform engineering, automation, observability, and AI-assisted engineering. The ideal candidate will have deep experience designing, building, and operating reliable, scalable, and secure infrastructure across AWS, Azure, Kubernetes, Terraform, CI/CD, GitOps, and monitoring platforms. This role requires strong ownership of production systems, incident management, automation, infrastructure standards, and collaboration with engineering, security, and platform teams.

Benefits

Qualifications

• Strong experience in Site Reliability Engineering, DevOps, Cloud Infrastructure, or Platform Engineering.
• Hands-on experience with AWS services such as EC2, EKS, ECS, Lambda, RDS, S3, VPC, CloudFront, Route 53, IAM, KMS, WAF, and Secrets Manager.
• Experience with Azure services including AKS, Virtual Machines, Virtual Networks, Storage Accounts, Load Balancer, Azure Monitor, and Entra ID.
• Strong Kubernetes, Docker, Helm, Terraform, Ansible, and GitOps experience.
• Good scripting and automation skills using Python, Bash, or similar languages.
• Strong monitoring and observability experience with Datadog, Grafana, Prometheus, Loki, Tempo, OpenTelemetry, Splunk, or Nagios.
• Experience with incident response, production support, root cause analysis, capacity planning, cost optimisation, and reliability improvement.
• Good understanding of networking, DNS, DHCP, LDAP, load balancers, firewalls, CDN, VPN, and security controls.
• Experience working in regulated, high-availability, or large-scale production environments.
• Certified Kubernetes Administrator (required).

Responsibilities

• Design, build, and maintain scalable cloud infrastructure across AWS and Azure.
• Manage Kubernetes platforms including EKS, AKS, Helm, Argo CD, and GitOps workflows.
• Create reusable Terraform, Ansible, and automation patterns for infrastructure provisioning.
• Define and improve SLOs, SLIs, monitoring, alerting, dashboards, and incident response processes.
• Implement observability using tools such as Datadog, Grafana, Prometheus, Loki, Tempo, OpenTelemetry, Splunk, and related platforms.
• Improve platform reliability, reduce operational toil, and support root cause analysis during incidents.
• Support secure infrastructure access using IAM, Okta, Teleport, RBAC, MFA, TLS/PKI, Secrets Manager, and cloud security controls.
• Work with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, and Argo CD to improve deployment reliability.
• Support Linux, Windows Server, Active Directory, DNS, DHCP, LDAP, and Group Policy environments.
• Manage large-scale GPU/HPC workloads using SLURM, PySpark, anomaly detection pipelines, and bare-metal provisioning with IPMI and PXE boot.
• Apply AI-assisted engineering tools such as Cursor, Claude Code, GitHub Copilot, AWS Bedrock, Ollama, Datadog Watchdog, and Grafana AI Agents to improve automation, troubleshooting, and delivery.
• Partner with engineering, security, and business teams to turn operational and regulatory requirements into practical platform standards.

Skills

Certifications

Languages

Relocation