Sr Technical Consultant - Azure Cloud, DevOps, Sql & Site Reliability Engineering(SRE)

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 op…