DevOps / SRE Cloud Engineer (Site Reliability Engineer)

Role purpose & context: Our client is looking for a senior DevOps / SRE Cloud Engineer to own the company’s Azure-based Kubernetes platform end-to-end — resilient infrastructure, hardened CI/CD, and strong observability so the company’s workloads run reliably at scale. Key roles & responsibilities: · Operate production Kubernetes clusters and Azure infrastructure as Terraform code. · Maintain CI/CD pipelines (GitHub Actions) with quality gates for reliable deployments. · Own observability: dashboards, alerting, SLOs, and incident response. · Manage secrets, identity, and network security across environments. · Partners with engineering teams to troubleshoot and improve reliability. Must-have technical skills / experience: · Azure cloud platform — production experience with AKS, ADLS Gen2 (blob storage), Azure Key Vault, Entra ID (incl. workload identity / managed identities), Azure networking (VNets, private endpoints, firewall rules), and Azure Service Bus or an equivalent message broker. · Kubernetes in production — deploying and operating self-managed (non-PaaS) workloads: Helm chart authoring, environment overlays, K8s operators, node-pool design, resource requests/limits and capacity sizing, pod troubleshooting, upgrades. · Terraform — authoring and maintaining modular IaC for cluster, identity, storage, and secrets provisioning; state management and plan/apply discipline across environments. · Docker — image builds (multi-arch), Compose-based local development stacks, container health checks and memory-limit tuning. · CI/CD with GitHub Actions — building and maintaining pipelines for lint/test/build gates and container image publishing; branch-protection / required-status-check workflows. · Observability and SRE practice — Prometheus + Grafana (dashboards, alert rules), SLO/alerting design, incident response, capacity planning from measured load; structured logging. · Linux and shell scripting — strong Bash; comfortable owning operational scripts as maintained, tested code. · Secrets management — provider-chain patterns (Key Vault in prod, env/file locally); keeping secrets out of repos and images. Preferred / nice-to-have technical skills: · Apache Spark on Kubernetes operations — Spark Operator, cluster sizing, executor/driver tuning, Spark Connect; Jupyter Hub on K8s. · Open data-platform stack — Hive Metastore, Trino, Apache Ranger, Delta Lake, S3-compatible object storage (MinIO); understanding of how governed query surfaces are wired. · Open Telemetry — SDK-based metrics/traces instrumentation and collector topology; Open Lineage/Marquez lineage. · Python — enough to maintain operational tooling and pytest-based environment/infrastructure test tiers. · SQL Server and PostgreSQL — operational administration (backups, container deployments, EF-migration-driven schemas). · Multi-tenant / regulated-data environments — tenant isolation patterns, POPIA/GDPR/ISO 27001-adjacent controls; secret scanning and supply-chain hygiene (dependency audit, image provenance). Seniority and experience: · Senior (mid-senior acceptable with strong K8s depth). 5+ years DevOps/SRE/platform engineering, including 2–3 years running Kubernetes workloads in production and 2+ years on Azure. Must be able to own the environment independently. Required qualifications: · Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. · Cloud/Kubernetes certification (e.g. Azure, CKA) advantageous. · Proven experience operating production-grade cloud infrastructure at scale; strong communication skills and ability to work independently in a hybrid/remote team. Why you’ll love working for the company: The company believes in taking care of their team and creating an environment where you can thrive. As part of their company, you’ll enjoy: · Flexible working arrangements: Whether you’re a night owl or an early bird, they offer hybrid and remote options to suit your lifestyle · Comprehensive benefits: From a wellness program to home office reimbursements and continuous learning opportunities, they have got you covered. · Team culture: Fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance. · Performance incentives: Competitive salaries, ESOP, and recognition for your hard work. Role purpose & context: Our client is looking for a senior DevOps / SRE Cloud Engineer to own the company’s Azure-based Kubernetes platform end-to-end — resilient infrastructure, hardened CI/CD, and strong observability so the company’s workloads run reliably at scale. Key roles & responsibilities: · Operate production Kubernetes clusters and Azure infrastructure as Terraform code. · Maintain CI/CD pipelines (GitHub Actions) with quality gates for reliable deployments. · Own observability: dashboards, alerting, SLOs, and incident response. · Manage secrets, identity, and network security across environments. · Partners with engineering teams to troubleshoot and improve reliability. Must-have technical skills / experience: · Azure cloud platform — production experience with AKS, ADLS Gen2 (blob storage), Azure Key Vault, Entra ID (incl. workload identity / managed identities), Azure networking (VNets, private endpoints, firewall rules), and Azure Service Bus or an equivalent message broker. · Kubernetes in production — deploying and operating self-managed (non-PaaS) workloads: Helm chart authoring, environment overlays, K8s operators, node-pool design, resource requests/limits and capacity sizing, pod troubleshooting, upgrades. · Terraform — authoring and maintaining modular IaC for cluster, identity, storage, and secrets provisioning; state management and plan/apply discipline across environments. · Docker — image builds (multi-arch), Compose-based local development stacks, container health checks and memory-limit tuning. · CI/CD with GitHub Actions — building and maintaining pipelines for lint/test/build gates and container image publishing; branch-protection / required-status-check workflows. · Observability and SRE practice — Prometheus + Grafana (dashboards, alert rules), SLO/alerting design, incident response, capacity planning from measured load; structured logging. · Linux and shell scripting — strong Bash; comfortable owning operational scripts as maintained, tested code. · Secrets management — provider-chain patterns (Key Vault in prod, env/file locally); keeping secrets out of repos and images. Preferred / nice-to-have technical skills: · Apache Spark on Kubernetes operations — Spark Operator, cluster sizing, executor/driver tuning, Spark Connect; Jupyter Hub on K8s. · Open data-platform stack — Hive Metastore, Trino, Apache Ranger, Delta Lake, S3-compatible object storage (MinIO); understanding of how governed query surfaces are wired. · Open Telemetry — SDK-based metrics/traces instrumentation and collector topology; Open Lineage/Marquez lineage. · Python — enough to maintain operational tooling and pytest-based environment/infrastructure test tiers. · SQL Server and PostgreSQL — operational administration (backups, container deployments, EF-migration-driven schemas). · Multi-tenant / regulated-data environments — tenant isolation patterns, POPIA/GDPR/ISO 27001-adjacent controls; secret scanning and supply-chain hygiene (dependency audit, image provenance). Seniority and experience: · Senior (mid-senior acceptable with strong K8s depth). 5+ years DevOps/SRE/platform engineering, including 2–3 years running Kubernetes workloads in production and 2+ years on Azure. Must be able to own the environment independently. Required qualifications: · Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. · Cloud/Kubernetes certification (e.g. Azure, CKA) advantageous. · Proven experience operating production-grade cloud infrastructure at scale; strong communication skills and ability to