About this role
Overview:
• The BYX Platform provides shared cloud provisioning, compute, storage, observability and runtime capabilities for enterprise applications and implementation teams. • We are seeking an astute Cloud Platform with a strong technical foundation and hands-on experience in Microsoft Azure, Kubernetes, containers, observability, networking and production automation.
Our current technical environment:
• Cloud and Compute: Microsoft Azure, Kubernetes, node pools, container workloads, Azure Container Registry, KEDA, Dask, autoscaling, CPU, memory and GPU capacity. • Observability: Logs, metrics and traces; collectors and exporters; Elastic/Elasticsearch, Logstash, Kibana, dashboards, alerts and correlation identifiers. • Data and Storage: MongoDB/Atlas, SQL, Redis, NFS, managed storage, replicas, regional capacity and service quotas. • Networking and Security: DNS, CIDR, private endpoints, firewall rules, allowlists, TLS/certificates, SPNs, API keys, tokens, image-pull credentials and Git-hosted secrets. • Operations and Automation: Linux, Git, CI/CD deployment workflows, infrastructure automation and scripting using Bash, Python or PowerShell.
What you’ll do:
• Review and act on incidents, service requests, infrastructure requests and provisioning failures logged by implementation teams and platform users. • Own L2/L3 cloud-platform issues from initial triage through recovery, validation, communication, root-cause analysis and closure. • Troubleshoot Kubernetes pods, deployments, replicas, services, events, health checks, node pools, scheduling and resource constraints. • Diagnose container image-pull, startup, shutdown, registry-authentication, rollout and workload-reconciliation failures. • Investigate CPU, memory, GPU, quota, region, placement and capacity issues affecting platform workloads. • Troubleshoot workload and event-driven autoscaling using Kubernetes metrics and technologies such as KEDA. • Support Azure resource provisioning, provider operations, resource lifecycle workflows and reconciliation between desired and actual state. • Diagnose ACR, private endpoint, firewall, allowlist, CIDR, DNS, TLS and runtime-connectivity problems. • Trace logs, metrics and distributed telemetry from the workload through collectors, exporters and observability ingestion pipelines. • Support Elastic/Logstash/Kibana ingestion, index mappings, access, dashboards, alerts and environment filters. • Investigate operational issues involving MongoDB/Atlas, SQL, Redis, NFS and related managed data or storage services. • Support certificates, service principals, API keys, image-pull credentials and infrastructure credential rotation. • Support regional releases, environment configuration, disaster-recovery workflows and post-deployment validation. • Develop automation to improve platform reliability, reduce manual provisioning and shorten incident recovery time. • Maintain runbooks, dashboards, alerts, known-error records and diagnostic procedures for use by platform support teams. • Participate in capacity planning, incident reviews, change reviews, release readiness and an agreed production on-call rotation.
What we are looking for:
• Minimum 5-10 years of relevant work experience in Azure cloud infrastructure, DevOps, site reliability engineering or platform operations. • This role includes Rotational Shifts(Night shifts of 2 months in Year) • Hands-on production experience with Microsoft Azure services and operational troubleshooting • Strong Kubernetes troubleshooting skills covering workloads, events, services, networking, scheduling, scaling and resource management. • Experience with a container registry; Azure Container Registry experience is highly relevant. • Practical observability experience across logs, metrics, traces, dashboards and alerts. • Experience with Elastic Stack components—Elasticsearch, Logstash and Kibana—or a closely comparable platform. • Working knowledge of DNS, TLS/certificates, CIDR, firewalls, proxies, load balancing and private networking. • Strong Linux administration, application log analysis and production incident-troubleshooting skills. • Scripting experience with Bash, Python or PowerShell for diagnostics and operational automation. • Experience troubleshooting CI/CD deployments, configuration changes and failed rollouts. • Working knowledge of Git, service identities and secrets-management fundamentals. • Working knowledge of MongoDB/Atlas, Redis, SQL or NFS operations is preferred. • Experience with infrastructure as code such as Terraform, Bicep or ARM templates and Kubernetes packaging such as Helm is preferred. • Experience with incident response, Root Cause Analysis, post-incident reviews and controlled production changes. • Strong collaboration and communication skills with the ability to work across application, security, networking and vendor teams. • Willingness to participate in a scheduled production on-call rotation and planned out-of-hours changes when required.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.